Competitive Balance in Men’s and Women’s Basketball: The Cast of the Missouri Valley Conference

Abstract:

Competitive balance typically fosters fan interest. Since revenue associated with men’s sports is typically greater than with women’s, one might expect to find greater levels of competitive balance in men’s sport than women’s sport. The purpose of this research was to test this hypothesis by comparing the competitive balance in a high revenue intercollegiate sport, basketball, for both men and women over a 10-year period in the Missouri Valley Conference.  Three measures of competitive balance were employed. In each case, competitive balance was found to be greater among the men’s teams than the women’s. The findings support the hypothesis that where there is greater revenue potential, there should be greater competitive balance.

Introduction:

One of the important differences between sports organizations and other industrial organizations is the issue of competitive balance.  Whereas most industrial enterprises attempt to keep competition to a minimum, a lack of competition in the case of sport teams makes for boring games and ultimately fans lose interest (Depken & Wilson, 2006; El Hodiri & Quirk, 1971; Kesenne, 2006; Quirk & Fort, 1992; Sanderson & Siegfried, 2003).  This lack of interest would lead to a loss of revenue, as fewer fans would attend games or listen to or watch media presentations. While fans certainly prefer to see their teams win, they want them to at least have a chance of losing.  Economists refer to this as the uncertainty of outcome hypothesis (Leeds & Von Allmen, 2005).

In professional sports some teams, frequently those in large markets, normally receive more revenue than their competitors. Those teams are in a position to sign better players and win more frequently, leading to the problem of competitive imbalance.  Efforts to alleviate this problem have included salary caps, luxury taxes, revenue sharing, and reverse order of finish drafts.  In intercollegiate athletics, attempts to alleviate competitive imbalance are undertaken by the NCAA through its various rules and regulations (National Collegiate Athletics Association, 2006). Likewise, various intercollegiate athletic conferences do this through budgeting and scheduling requirements and the selection of institutional membership (Rhoads, 2004).

In order to maintain fan interest, competitive balance is important in all sports. From the viewpoint of program administrators, it would appear to be particularly important in sports such as basketball and football, in which there are potentially large sources of revenue involved.  Similarly, because revenue is typically so much greater for men’s than for women’s sports, one might expect to find greater efforts being made to bring about competitive balance in men’s sports than in sports for women.   This might be singularly true where there was a post-season tournament, thus a need to keep fan interest intense throughout the season to help insure interest for post-season play.

The purpose of this study is to test the hypothesis that one would expect to find more competitive balance in men’s than in women’s basketball.  More specifically, the researchers compared the degree of competitive balance in both men’s and women’s basketball in the Missouri Valley Conference (MVC) for the 10-year period 1996-97 through 2005-06. The MVC was selected because it annually holds a post-season tournament, and the authors had access to financial data indicating that there was significantly larger revenue associated with men’s basketball than women’s basketball (Missouri Valley Conference, 2006a). The particular time frame was selected as a period of stable membership within the conference.

The Missouri Valley Conference

Established in 1907 as the Missouri Valley Intercollegiate Athletic Association, the MVC is the oldest collegiate athletic conference west of the Mississippi River and the fourth oldest league in the nation (Markus, 1982).  The league has been comprised of 32 member institutions at varying times through its history, and it has seen members win national titles on 25 occasions (Missouri Valley Conference, 2006b).

The MVC now features 10 league members:  Bradley University, Creighton University, Drake University, the University of Evansville, Illinois State University (ILSU), Indiana State University (INSU), Missouri State University (MSU), the University of Northern Iowa (UNI), Southern Illinois University (SIU), and Wichita State University (WSU).

While the conference’s membership has changed on several occasions since its founding, the most recent changes occurred in the early and mid 1990s.  The MVC and the Gateway Collegiate Athletic Conference merged in 1992 (Benson, 2006; Markus, 1982; Missouri Valley Conference, 2006b; Richardson, 2006).  The merger resulted in the addition of UNI to bring total league membership to 10 institutions (Carter, 1991; Richardson, 2006).  It also resulted in the establishment of MVC championship programs in women’s sports for the first time in conference history.

In 1994, Evansville joined the conference, giving the conference an all-time high 11 league members (Richardson, 2006).  Conference membership dropped back to 10 institutions in 1996, when the University of Tulsa left the MVC to join the Western Athletic Conference (Bailey, 2005; Richardson, 2006)

Measuring Competitive Balance

There are several ways of measuring competitive balance, and there is some debate as to which approach is best.  Each method attempts to measure something different.  Which is best often depends on what the parties to the debate find most useful for their purposes (Humphreys, 2002).  Among the more popular measures are the standard deviations of winning percentages of the various teams in the conference or league, the Hirfindahl-Hirschman Index, and the range of winning percentages.

Winning Percentage Imbalance

One popular measure of competitive balance calculates each team’s winning percentage in the conference in a given season.  Since there will, outside of a tie, always be one winner and one loser for each game, the average winning percentage for the conference will be .500.

In order to get some idea of competitive balance, the researchers needed to measure the dispersion of winning percentages around this average.  To do this, they measured the standard deviation.  This statistic measures the average distance the observations lie from the mean of the observations in the data set.
_________________
σ = √ Σ (WPCT – .500)2
N

The larger the standard deviation, the greater the dispersion of winning percentages around the mean, and thus the less the competitive balance.  (If all teams had a winning percentage of .500, there would be a standard deviation of zero, and there would be perfect competitive balance.)

Championship Imbalance

Whereas the standard deviation as a measure of competitive balance provides a good picture of the variation among the winners, it does not indicate whether it is the same teams winning every season or if there is considerable turnover among the winners from one season to the next.

Therefore, another method economists use to measure competitive imbalance is the Hirfindahl-Hirschman Index (HHI), which was originally used to measure concentration among firms within an industry (Leeds & Von Allmen, 2005).  Since the standard deviation is used to measure percentage winning imbalance, the HHI is used to measure championship imbalance – how the championship or first place finish is spread amongst the various teams.  Using this method, the greater the number of teams that achieve championship status over a specific time period, the greater the competitive balance.

The HHI can be calculated by measuring the number of times that each team wins the championship, squaring that number, adding the numbers together, and dividing by the number of years under consideration.  Using this measure, it can be concluded that the lower the HHI, the more competitive balance among the teams.

Range of Winning Percentage Imbalance

As suggested above, the standard deviation of winning percentages explains variation around the mean, but it does not specifically reveal if it is the same teams winning or losing from season to season.  Likewise, the HHI provides perspective on the number of teams which win the championship over a period of time, but it does not indicate what is happening to the other teams in the conference.  It is possible that a few teams could always finish first, but that the other teams could be moving up or down in the standings from one year to another.

One way of gaining some insight into the movement in the standings of all teams over time is to get the mean percentage wins for each team over a specific period.  The closer each team is to .500, the greater the competitive balance over this period.  If several teams had a very high winning percentage and others had a very low winning percentage, it would suggest that there was not strong competitive balance over time, but that the same teams were winning and the same teams losing year after year.

Results:
In order to arrive at conclusions concerning competitive balance in the MVC, the researchers employed each of the above measures and compared the results for men’s and women’s basketball over the selected period.

Standard Deviation of Winning Percentages

Tables 1 and 2 display the winning percentages for the women’s and men’s basketball teams. Table 3 displays the standard deviations for both the women’s and men’s winning percentages each season.  As indicated in Table 3, the men had a mean standard deviation of .2184 compared to a .2404 for the women.  This is approximately a 10% difference favoring competitive balance among the men.  It can also be noted that the men had a lower standard deviation than the women in seven of the 10 years studied.  Likewise, it can be seen that the highest standard deviation for women .2644 (2004-95) exceeded the highest for men, which was .2551 (2002-03).  Similarly, the lowest standard deviation for women .2010 (2002-03) was considerably higher than a comparable figure for the men, which was a very low .1527 (1998-99).

Table 1. Winning Percentages- Missouri Valley Conference Women’s Basketball

  Bradley Creighton Drake Evansville ILSU INSU MSU SIU UNI WSU
1996-97 0.5 0.389 0.778 0.111 0.722 0.5 0.722 0.5 0.278 0.5
1997-98 0.222 0.611 0.944 0.056 0.5 0.556 0.778 0.389 0.444 0.5
1998-99 0 0.5 0.778 0.611 0.222 0.556 0.833 0.278 0.667 0.556
1999-00 0.167 0.389 0.833 0.778 0.167 0.278 0.778 0.278 0.556 0.778
2000-01 0.278 0.611 0.889 0.444 0.167 0.389 0.889 0.222 0.667 0.444
2001-02 0.389 0.889 0.833 0.5 0.278 0.389 0.667 0.111 0.5 0.444
2002-03 0.5 0.722 0.611 0.278 0.278 0.722 0.611 0.167 0.667 0.444
2003-04 0.389 0.833 0.611 0.333 0.5 0.556 0.889 0.111 0.389 0.389
2004-05 0.444 0.722 0.444 0.556 0.389 0.722 0.833 0.056 0.722 0.111
2005-06 0.278 0.278 0.722 0.611 0.389 0.889 0.389 0.333 0.667 0.444
Mean 0.317 0.594 0.744 0.428 0.361 0.556 0.739 0.245 0.556 0.461

Source: Missouri Valley Conference 2005-06 Women’s Basketball Media Guide

Table 2. Winning Percentages- Missouri Valley Conference Men’s Basketball

  Bradley Creighton Drake Evansville ILSU INSU MSU SIU UNI WSU
1996-97 0.667 0.556 0 0.611 0.788 0.333 0.667 0.333 0.611 0.444
1997-98 0.5 0.667 0 0.5 0.888 0.556 0.611 0.444 0.222 0.611
1998-99 0.611 0.611 0.278 0.722 0.389 0.556 0.611 0.556 0.333 0.333
1999-00 0.556 0.611 0.222 0.5 0.278 0.788 0.722 0.667 0.389 0.278
2000-01 0.667 0.788 0.444 0.5 0.667 0.556 0.444 0.556 0.167 0.222
2001-02 0.278 0.788 0.5 0.222 0.667 0.222 0.611 0.788 0.444 0.5
2002-03 0.444 0.833 0.278 0.444 0.278 0.111 0.667 0.888 0.389 0.667
2003-04 0.389 0.667 0.389 0.278 0.222 0.278 0.5 0.944 0.667 0.667
2004-05 0.333 0.611 0.389 0.278 0.444 0.278 0.556 0.833 0.611 0.667
2005-06 0.611 0.667 0.278 0.278 0.222 0.222 0.667 0.667 0.611 0.778
Mean 0.506 0.68 0.278 0.433 0.484 0.39 0.606 0.668 0.444 0.517

Source: Missouri Valley Conference 2005-06 Men’s Basketball Media Guide

Championship Imbalance

Using the HHI to measure competitive balance for men’s and women’s basketball, the researchers found more competitive balance among the various institutions playing men’s basketball than among their counterparts playing women’s basketball.

Using the HHI for men’s basketball, the researchers found that six teams achieved an outright first place finish (SIU 3, ILSU 2, Evansville 1, Creighton 1, INSU 1, and WSU 1) over the 10-year period studied.  In one year, there was a tie for first place (SIU and Creighton in 2001-02).  If one point for each outright first place finish and .5 point for each two way tie is given:

HHI= 3.52+22+1.52+12+12+12 = 21.50/10 = 2.150

For women, over the 10-year period only four teams achieved an outright first place finish (Drake 3, MSU 3, Creighton 1, and INSU 1).  In 2 years, there was a tie for first place 2000-01 MSU and Drake, and 2002-03 Creighton and INSU).  Using the same point distribution as above:

HHI= 3.52+3.52+1.52+1.52 = 29/10= 2.9

In this case, the HHI showed considerably more competitive balance among the men’s basketball teams, than among the women’s.  Indeed, the HHI is about 33% higher for the women than for the men.  As indicated above this competitive balance advantage for the men can also be seen by the fact that over the 10-year period six different men’s teams achieved a first-place finish, while in the case of the women only four teams finished first.

Range of Winning Percentage Imbalance

If one arbitrarily sets .100 plus or minus the perfect balance, i.e., .500 as a range, which would suggest a high degree of competitive balance over the ten-year period, one once again finds more competitive balance among the men’s teams than among the women’s.

Table 2 suggests that, using this approach, five teams (50%) fit this range.  Those teams were Bradley, Evansville, ILSU, UNI, and WSU. Among the others, Creighton, MSU, and SIU seemed to be more consistent winners, while Drake and INSU were at the bottom.  But even among the latter, INSU had a winning percentage in 4 of the 10 years.  Indeed only one team—Creighton had a winning season each of the ten years. When viewing the range from top to bottom, a variation of .680 (Creighton) to .278 (Drake) a range of .402 is found.

Table 1 indicates that among the women’s teams over this 10-year period a similar five teams fit this range.  Those teams were Creighton, Evansville, INSU, NIU, and WSU.  Drake and Missouri State were consistent winners, each having only one losing season over the period studied. Meanwhile Bradley, ILSU, and SIU were on the lower end, none of which had an actual winning season over the last 9 years.

While both the men and women had five teams fitting our defined range for a high degree of competitive balance, it should be noted that the range from top to bottom was .499 for the women as compared to .402 for the men.  This range is almost 25% greater for women, which again suggests less competitive balance among the women’s teams

Table 3. Standard Deviations of Winning Percentages in Women’s and Men’s Basketball

Year Women Men
1996-97 0.2078 0.2298
1997-98 0.2538 0.2442
1998-99 0.2606 0.1527
1999-00 0.2746 0.201
2000-01 0.258 0.1942
2001-02 0.24 0.2142
2002-03 0.201 0.2551
2003-04 0.2342 0.2313
2004-05 0.2644 0.1851
2005-06 0.2095 0.2208
Mean 0.2404 0.2184

Source: Authors’ calculations based on data in Tables 1 and 2.

Conclusions:

The uncertainty of outcome hypothesis suggests that a lack of competitive balance among teams in a league or conference can lead to a lack of interest in the games outcome and thus a loss of revenue to teams sponsoring the games.  If this were indeed the case, it should follow that the greater the potential revenue possible, the more likely there would be an attempt to bring about competitive balance.

The purpose of this research was to test this hypothesis by comparing the competitive balance in a high revenue intercollegiate sport, basketball, for both men and women over a period of time.  Expectations were that, because of the greater revenue associated with men’s basketball, there would be greater competitive balance.

Using the standard deviation of winning percentages, the Hirfindahl-Hirschman Index, and the range of winning percentage imbalance to measure competitive balance, the researchers found in each case that there was greater competitive balance among the men’s basketball teams than for the women’s teams.  These findings would support the hypothesis that where there is greater revenue potential, there should be greater competitive balance.

In conclusion, the usual caveats are in order.  It is possible that if the researchers analyzed a different time frame within the MVC, or if a different intercollegiate conference was chosen for analysis, a different conclusion may have been reached.  It may also be that as women’s basketball continues to grow and generate greater amounts of revenue from ticket sales, media rights fees, and corporate sponsorship, levels of competitive balance may also change.  These possibilities provide further research opportunities to test the hypothesis.

References :

Bailey, E. (2005, June 26). Hurricane settled. The Tulsa World, B1.

Benson, J. (2006, October 30). Valley holds Centennial celebration. Knight Ridder Business News. Retrieved April 12, 2007 from http://proquest.umi.com/pqdweb?did=1170880621&Fmt=3&clientId=328&RQT=309&VName=PQD&cfc=1.

Carter, K. (1991, September 23). Schools jump starting future movement. The Sporting News, 212 (13), 57.

Depken, C.A., & Wilson, D.  (2006). The Uncertainty of Outcome Hypothesis in Division I-A College Football. Manuscript submitted for publication.

El Hodiri, M. & Quirk, J. (1971). An economic model of a professional sports league. Journal of Political Economy, 79, 1302-19.

Humpreys, B. (2002). Alternative measures of competitive balance.  Journal of Sports Economics, 3, (2), 133-148.

Kesenne, S. (2006). Competitive balance in team sports and the impact of revenue sharing. Journal of Sport Management, 20, 39-51.

Leeds, M. & vonAllmen, P. (2005). The Economics of Sports. Boston: Pearson-Addison Wesley.

Markus, D. (1982, February) The best little conference in the country. Sport. 73, 31.

Missouri Valley Conference. (2006a). Finance committee report. St. Louis: Author.

Missouri Valley Conference. (2006b). This is the Missouri Valley Conference. Retrieved April 27, 2007 from http://www.mvc-sports.com/ViewArticle.dbml?DB_OEM_ID=7600&KEY=&ATCLID=271380.

National Collegiate Athletics Association (2006). 2006-07 NCAA Division I manual. Indianapolis, IN: Author.

Quirk, J. & Fort, R.D.  (1992). Pay Dirt: The Business of Professional Team Sports. Princeton, NJ: Princeton University Press.

Rhoads, T.A. (2004). Competitive Balance and Conference Realignment in the NCAA. Paper presented at the 74th Annual Meeting of Southern Economic Association, New Orleans, LA.

Richardson, S. (2006). A Century of Sports: Missouri Valley Conference. St. Louis: Missouri Valley Publications.

Sanderson, A.R., & Siegfried, J.J. (2003). Thinking about Competitive Balance. Unpublished manuscript. Vanderbilt University.

2016-10-20T10:19:13-05:00March 14th, 2008|Sports Management, Sports Studies and Sports Psychology, Women and Sports|Comments Off on Competitive Balance in Men’s and Women’s Basketball: The Cast of the Missouri Valley Conference

Relations between Role Ambiguity and Athletes’ Satisfaction among Team Handball Players

Abstract

This study examined the relationship between role ambiguity and athlete satisfaction among team handball players. The sample consisted of 169 Greek team handball players, 53 (33%) men and 116 (67%) women, with a mean age of 16.5 years (SD=1.3). The Role Ambiguity Scale and the Scale of Athlete Satisfaction were used. The results indicated a negative relationship between Role Ambiguity and Athlete Satisfaction. Additionally, role ambiguity, as represented by the subscale of Scope of Responsibilities, accounted for most of the variance in both regression analyses. Finally, the multidimensional role of Role Ambiguity was shown. The results are discussed and future research is suggested.

Review of Literature

The literature has defined role ambiguity as the lack of clear, consistent information that is associated with a person’s position (Kahn, Wolfe, Quinn, Snoek, & Rosenthal, 1964). It has also provided a theoretical model in which role ambiguity had two dimensions: (a) task ambiguity, related to performance aspects of one’s responsibilities, and (b) socio-emotional ambiguity, regarding the psychological consequences and discomfort an individual might experience while failing to fulfil role responsibilities.

Behrman and Perreault (1984) supported the idea that role conflict and role ambiguity were related negatively to job satisfaction. Schuller, Aldag, and Brief, (1977), evaluating the affect of role conflict and role ambiguity, concluded that they were associated with low satisfaction, absenteeism, low involvement, and tension at the work place. Beehr, Walsh, and Taber, (1976) found that role stress was related to dissatisfaction with work. Finally, Boles and Babin (1996) suggested that increased role conflict and role ambiguity diminished job satisfaction among customer service employees.

Role ambiguity is important in productivity and performance in business and industry. A meta-analysis by Jackson and Schuler (1985) found that greater role ambiguity was associated with greater job dissatisfaction, as well as increased anxiety, lower commitment, and a diathesis to leave the organization. Recent research shows that ambiguity follows many negative and corruptive consequences: decreased satisfaction with one’s job, higher level of tension and anxiety, and the greater possibility of leaving the organization (Beard, 1999). Additionally, research showed that ambiguity is related with increased somatic and cognitive anxiety (Beauchamp, Bray, Eys, & Carron, 2003) and decreased role-related efficacy (Beauchamp & Bray, 2001; Eys & Carron, 2001; Beauchamp, Bray, Eys, & Carron, 2002; Bray & Brawley, 2002).

Beachamp and his colleagues (2002) presented a conceptual model of role ambiguity specific to sport. This model originated with Kahn and his colleagues (1964) as well as early work by Eys and Carron (2001) and by Beachamp and Bray (2001). More specifically, it was proposed by the researchers that role ambiguity contains four dimensions (multidimensional construct): scope of responsibilities, which refers to a lack of clear information about one’s responsibilities; role behaviours, which refer to a lack of clear information about behaviors associated with one’s role; role evaluation, which refers to a lack of clear information about how one’s responsibilities are evaluated; and role consequences, which refer to a lack of clear information about the consequences of failure to fulfill one’s role responsibilities. Based on research among school rugby players, Beauchamp et al. (2002) provided evidence of the factorial validity of the model with the use of confirmatory factor analysis. Also, Eys, Carron, Beauchamp, and Bray (2003) provided evidence about the construct validity of the operational definition of role ambiguity by examining the changes of role ambiguity over time and the influence of player status on perceptions for role ambiguity.

Studies show that a negative relationship between role ambiguity and performance exists among athletes whose roles were identified by a high degree of interdependence, compared to those whose roles were identified as independent of others’ (Tubre & Collins, 2000). Additional research indicates a positive correlation between ambiguity and burnout (Capel, 1986), and that among players of variety interdependent sports, starters reported lower levels of role ambiguity than non-starters (Beauchamp & Bray, 2001).

Chelladurai and Riemer (1997) have defined athlete satisfaction as “… a positive affective state resulting from a complex evaluation of the structures, processes, and outcomes associated with the athletic experience” (p. 135). As Chelladurai and Riemer (1997) have pointed out, athletes are the “prime beneficiaries” of athletic programs. In other words, sport organizations exist primarily for the benefit of athletes (Reimer & Chelladurai, 2001). The concept of athlete satisfaction has received little attention from researchers. In contrast, a great deal of research in sport-related literature has focused on the satisfaction of coaches, administrators, spectators, and participants across a range of sports settings (Danylchuk, 1993; Li, 1993; Pastore, 1993; Madrigal, 1995; Alexandris & Palialia, 1999; Koustelios, Kellis, & Bagiatis, 1999).

In most of the above research, athletes’ satisfaction has been considered a dependent or independent variable in various theoretical frameworks (Reimer & Chelladurai, 2001), usually as the outcome of various leader or coach behaviors (Chelladurai, 1984; Horne & Carron, 1985; Weiss & Friedrichs, 1986; Schliesman, 1987; Chelladurai, Inamura, Yamaguchi, Oinuma, & Miyauchi, 1988; Riemer & Chelladurai, 2001; Bebetsos & Theodorakis, 2003; Theodorakis & Bebetsos, 2003). For example, in a study of 251 college basketball players in the U.S., Weiss and Friedrichs (1986) found that coaches who engaged in frequently rewarding behavior, social support behavior, and a democratic style of leadership increased athletes’ satisfaction. In some studies, although fewer in number, researchers used athlete satisfaction as an independent variable in their models (Carron, 1982; Reimer, & Chelladurai, 2001). For example, Riemer and Chelladurai (2001), in a study of 649 student athletes from 14 Canadian universities, reported that only a limited number of facets of athlete satisfaction significantly predicted the commitment of athletes to the team, or conversely, a desire to leave the team.

Although there is very limited research on the possible relationship between role ambiguity and satisfaction in sports, research has been done in industrial and organizational psychology. Several studies have identified the negative relationship between role ambiguity and satisfaction (Abramis, 1994; Fisher & Gitelson, 1983; Horne & Carron, 1985). A meta-analysis by Jackson and Schuler (1985) indicated that role ambiguity was negatively associated with multiple aspects of employee job satisfaction. The limited investigation in sport settings on these two domains indicated that lower levels of role ambiguity were related to higher athlete satisfaction (Eys, Carron, Beauchamp, & Bray, 2003). Additionally, Bray, Beauchamp, Eys, and Carron (2005) found that the need for role clarity moderated the relationship between role ambiguity and athlete satisfaction.

Therefore, the purpose of the present study was to examine the relationship between athletes’ perceptions of role ambiguity and their satisfaction as regards Greek team handball players. The hypothesis was twofold: first, that role ambiguity dimensions (subscales) are negatively related to athlete satisfaction dimensions and second, that Scope of Responsibilities would be the most prominent manifestation of role ambiguity related to the dimensions (subscales) of athlete satisfaction.

Method

Participants and Procedures

Data were collected from 169 Greek team handball players: 53 (31.4%) men and 116 (68.6%) women. Their mean age was 16.4 years (SD=1.3), and ages ranged from 13 to 19 years. On average, their association with their respective teams was 4.9 years (SD=2.3), and their playing experience in organized team handball was 5.4 years (SD=1.9). Participants practiced an average of 4.4 times per week (SD=1.7).

Measures

The Role Ambiguity Scale (RAS; Beauchamp et al., 2002). This scale contains four subscales: (a) Scope of Responsibilities (e.g., “I understand the extent of my responsibilities.”), (b) Role Behaviors (e.g., “I understand what adjustments to my behavior need to be made to carry out my role.”), (c) Role Evaluation (e.g.,“I understand the criteria by which my role responsibilities are evaluated.”), and (d) Role Consequences (e.g., “It is clear to me what happens if I fail to carry out my role responsibilities.”). Each subscale has five items (questions). The scale has two batteries of statements, since it is designed to assess role ambiguity in an offensive and defensive context. In the present study, only the 20-items (5 items per subscale) that corresponded to offensive responsibilities were used, following suggestions made by Eys and Carron (2001) and Beauchamp et al. (2003) that role ambiguity might be more relevant in an offensive context. Respondents rated agreement with each item on a 9-point scale anchored by 1: strongly disagree and 9: strongly agree. Higher scores reflected greater role clarity and hence less role ambiguity. The scale was translated into Greek using a back translation procedure. For the purpose of the study, the Greek version was administered to 10 team handball athletes to examine whether the items of this version were comprehensive and well understood. No further modifications were made after the above process.

The Scale of Athlete Satisfaction (Chelladurai, et al., 1988). This scale measured satisfaction in leadership (seven items, e.g., “The leadership provided by my coach”), and Personal Outcome (three items, e.g., “The way I am performing”). Respondents rated satisfaction by item on a 7-point scale anchored by 1: strongly dissatisfied and 7: strongly satisfied. The scale was translated into Greek and used in earlier studies (Bebetsos & Theodorakis, 2003; Theodorakis & Bebetsos, 2003).

Procedure

The method chosen to conduct the research was that of self-completed questionnaires. Researchers informed all subjects that participation was completely voluntary and that individual responses would be held in strict confidence.

Results

Descriptive statistics including means, standard deviations, Cronbach coefficients α for all subscales, and Pearson intercorrelations between role ambiguity and athlete satisfaction dimensions are presented in Table 1. Relatively high mean scores were observed for the four role ambiguity dimensions ranging from 7 (Role Evaluation) to 7.3 (Role Consequences and Scope of Responsibilities) of a possible 9. It should be noted that higher Role Ambiguity scores mean less uncertainty. Participants reported moderate satisfaction from their personal performance (M=5.1, SD=1.2) and with their leaders’ behaviors (M=5.8, SD=1.1).

Table 1

Descriptive statistics for athlete satisfaction and role ambiguity dimensions

M SD Cronbach’s
a
r
1 Leadership 5.8 1.1 .87
2 Personal outcome 5.1 1.2 .71 .42**
3 Scope of Responsibilties 7.3 1.3 .83 .39** .32**
4 Role Behaviors 7.1 1.2 .80 .18* .37** .76**
5 Role Evaluation 7.0 1.4 .80 .35** .30** .68** .64**
6 Role Consequences 7.3 1.5 .82 .35** .15* .72** .49** .65**

*p<.05, **p<.001

Using the Cronbach coefficient α for internal consistency, acceptable estimates were observed for the Athlete Satisfaction subscales (Table 1). In contrast, rather low internal consistensy coefficients were observed for the four Role Ambiguity subscales. More specifically, alpha coefficients were .71 for Scope of Responsibilities, .61 for Role Behavior, .66 for Role Evaluation, and .69 for Role Concequences. Item analysis indicated that the internal consistency of each dimension could substantially be improved if certain items were removed from each subscale. It should be noted that these items (total of 4, 1 for each subscale) were reversed (negative wording). After removing these items, alpha coefficients raised to .83 for Scope of Responsibilities, .80 for Role Behavior, .80 for Role Evaluation, and .82 for Role Concequences.

As hypothesized, Role Clarity (lower Role Ambiguity) was positively related to Athlete Satisfaction (Table 1). The bivariate correlation sample size (N=169) was adequate to assure power of .80 and effect size of at p = .05 (46). A power analysis was performed using the Gpower statistical program (Erdfelder, Faul, & Buchner, 1996). To further explore relationships between Role Ambiguity and Athlete Satisfaction subscales, two hierarchical regression analyses were performed. For each analysis, an Athlete Satisfaction subscale was the dependent variable, and the four subscales of Role Ambiguity were the independent variables. Following suggestions by Eys, Carron, Bray, and Beauchamp (2003) the Scope of Responsibilities subscale was entered as the predictor variable on the first step for each analysis. The remaining three subscales of Role Ambiguity (Role Behavior, Role Evaluation, and Role Consequences) were entered as a block in the second step. In the first model, Scope of Responsibilities predicted a significant proportion of the variance, 8% in Leadership (F1,134=11.7, p< .001). When the other three Role Ambiguity subscales entered in the model, variance prediction increased to 12% (F4,131=4.7, p< .001). The subscales of Role Behavior and Role Evaluation offered significant contributions (t=-2.0, p< .05, and t=-2.1, p< .05). In the second model, Scope of Responsibilities predicted 11% of Personal Outcome (F1,134=16.7, p< .001). In the next step, the other three subscales increased the prediction of Personal Outcome to 21% (F4,134=8.9, p< .001). The subscales of Role Behavior and Role Consequences offered significant contribution to the prediction (t=-2.0, p< .05, and t=-2.8, p< .05, respectively).

 

Table 2

Hierarchical regression analysis for role ambiguity dimensions predicting athletes’ satisfaction

Δ R2 ΔF p Β β t P
Leadership Scope of Responsibilites .08 11.78 < .001 .32 .36 2.33 < .05
Role Behaviors .12 4.72 < .001 -.23 -.27 -2.03 < .05
Role Evaluation 1.95 .25 2.14 < .05
Role Consequences -.34 -.39 -.39 ns
Personal Outcome Scope of Responsibilites .11 16.76 < .001 .25 .25 1.74 .05
Role Behaviors .21 8.96 < .001 .25 .27 2.08 .05
Role Evaluation .12 .14 1.28 ns
Role Consequences -.26 -.32 -2.82 .05

Discussion

The aim of the study was to examine the relationship between athletes’ satisfaction and role ambiguity among team handball players. It was predicted that role ambiguity would have a negative relationship to the satisfaction dimensions and that Scope of Responsibilities was the most prominent manifestation of role ambiguity related to the dimensions (subscales) of athlete satisfaction.

First, the reliability estimates showed that after the exemption of four items, which were removed from the analysis on the ambiguity instrument, all factors from both questionnaires had good internal consistency. The exclusion of the items significantly improved the internal reliability of the factors. It should be noted that only these items had negative wording, whereas the other items of the questionnaire had positive wording. There is evidence suggesting that item wording may influence the results of a study (Spector, Van Katwyk, & Brannick, 1997; Brown, 2003; Tsiggilis, Masmnidis, & Koustelios, 2004; Proios, Tsiggilis, & Doganis, 2005). Schriesheim, Eisenbach, and Hill (1991) demonstrated that regular items (e.g., “I am happy”) are the most reliable and produced the most accurate responses in comparison to negated regular (e.g., “I am not happy”), polar opposite (e.g., “I am sad”), and negated polar opposite (e.g., “I am not sad”) items.

Second, the means of role ambiguity are above average (Table 1), which translates to high role clarity and lower role ambiguity. This might have occurred because, as it was mentioned previously, the players were members in their teams for a quite long time (4.9 years), their sport experience (5.4 years) was extensive and the research was conducted near the end of the season. In a previous study, Eys and his colleagues (2003) indicated that athletes with greater sport experience, being members of the same team for a quite long time, had lower indicators of role ambiguity in comparison to younger and less experienced athletes. Additionally, indicators of athlete satisfaction were also above average. Similar results of previous research (Bebetsos & Theodorakis, 2003; Theodorakis & Bebetsos, 2003) indicate that in the end of the season athletes were satisfied with their leaders’ behaviors as well as with their personal performance.

Third, role ambiguity was found to have a negative relationship to athletes’ satisfaction. These results are consistent with previous research findings that indicate role ambiguity was inversely correlated with job satisfaction (Abramis, 1994; Jackson & Schuler, 1985). More specifically, Jackson and Schuler (1985) mentioned in their meta-analysis of the industrial literature that the overall correlation between satisfaction and ambiguity was in a moderate to high range, showing the important contribution to satisfaction. In addition, Eys et al. (2003) concluded that lower perceptions of role ambiguity were related to higher athlete satisfaction. Riemer and Chelladurai (1998) indicated that satisfaction has been proposed and shown to be a consequence of several group dynamics constructs, including leadership and team cohesion.

Forth, the results of this study supported the importance of Scope of Responsibilities over the other four dimensions of role ambiguity. It accounted for most of the variance in both regression analyses. Previous research found that Scope of Responsibilities had the strongest relationship with cohesion (Eys, & Carron, 2001) and cognitive state anxiety (Beauchamp, Bray, Eys, & Carron, 2003) and was the strongest predictor of role efficacy and role performance (Beauchamp, Bray, Eys, & Carron, 2002). In the present study, Scope of Responsibilities accounted for the most variance in both hierarchical regression analyses, consistent with previous research results (Eys, Carron, Bray, & Beauchamp, 2003).

The findings of this study showed the significant contribution of other dimensions in the regression analyses. More specifically, for the first model, Role Behavior and Role Evaluation offered significant contributions, and for the second, Role Behavior and Role Consequences offered significant contribution to the prediction. These results reinforce the possible modification of the instrument from its hierarchical to its multidimensional role. More specifically, the results supported the multidimensional nature of ambiguity. A reason might be the possibility that Scope of Responsibilities may not reflect an overall representation of role ambiguity and does not develop in a hierarchical fashion. In contrast with what Eys and his colleagues (2003) stated, the other dimensions proposed by Beauchamp and his colleagues (2002) may not form sub-categories beneath Scope of Responsibilities in a hierarchical model.

The results showed that the players tend to understand the direct relationship that exists between Leadership (i.e. coach) and the criteria by which their team responsibilities are evaluated, what the leadership wants and expects from them. Likewise, for Personal Outcome, the results indicated the players understand their roles in the team, what responsibilities these roles have, and that these roles have a direct relationship with athletic growth and development. Finally, they understand that consequences might follow if they do not carry these roles out.

In conclusion, the present results have indicated that role ambiguity (Beauchamp, et al., 2003) is associated with athletes’ satisfaction among Greek team handball players. Additionally, the results indicated the importance of Scope of Responsibilities and that four specific dimensions of role ambiguity dimensions could predict two facets of athletes’ satisfaction. Future research should continue to investigate relationships with variables such as intention, motivation, aggressiveness, as well as explore the importance and mechanisms of role ambiguity within team sports. A possible limitation of the study might be the lack of information regarding on-field defensive roles. Athletes’ responses regarding their defensive roles were not included in this study. Also, the sample consisted of experienced athletes and the study was conducted only on the sport of team handball.

References

Abramis, D. J. (1994) Work role ambiguity, job satisfaction, and job performance: Meta-analysis and review. Psychological Reports, 75, 1411-1433.

Alexandris, K., & Palialia, E. (1999) Measuring customer satisfaction in fitness centres in Greece: An exploratory study. Managing Leisure: An International Journal 4, 218-229.

Beard, F. K. (1999) Client role ambiguity and satisfaction in client-ad agency relationships. Journal of Advanced Research 39, 69-78.

Beauchamp, M. R., & Bray, S. R. (2001) Role ambiguity and role conflict within interdependent teams. Small Group Research 32, 133-157.

Beauchamp, M. R., Bray, S. R., Eys, M. A., & Carron, A. V. (2002) Role ambiguity, role efficacy, and role performance: Multidimentional and mediational relationships within interdependent sport teams. Group Dynamics: theory, Research, and Practice 6, 229-242.

Beauchamp, M. R., Bray, S. R., Eys, M. A., & Carron, A. V. (2003) The effect of Role Ambiguity on Competitive State Anxiety. Journal of Sport & Exercise Psychology 25, 77-92.

Bebetsos, E, & Theodorakis, N. (2003) Athletes’ satisfaction among team handball players in Greece. Perceptual and Motor Skills 97, 1203-1208.

Beehr, T., Walsh, J., & Taber, T. (1976) Relationship of stress to individually and organizationally valued states: higher order needs as a moderator. Journal of Applied Psychology 61, 41-47.

Behrman D, & Perreault, W. (1984) A role stress model of the performance and satisfaction of industrial salesperson. Journal of Marketing 48, 9-21.

Boles, J, & Babin, B. (1996) On the front lines: Stress, conflict, and the customer service provider. Journal of Business Research 37, 41-50.

Bray, S. R., & Brawley, L. R. (2002) Role efficacy, role clarity, and role performance effectiveness. Small Group Research 33, 233-253.

Bray, S. R., Beauchamp, M. R., Eys, M. A., Carron, A. V. (2005) Does the need for role clarity moderate the relationship between Role Ambiguity and Athlete Satisfaction? Journal of Applied Sport Psychology 17, 306-318.

Brown, T. A. (2003) Confirmatory factor analysis of the Penn State Worry questionnaire: Multiple factors of method effect? Behavioural Research Therapy, 41, 1411-1126.

Capel, S. A. (1986) Psychological and organizational factors related to burnout in athletic trainers. Research Quarterly 57, 321-328.

Carron, A. V. (1982) Cohesiveness in sport groups: Interpretations and considerations. Journal of Sport Psychology 4, 123-138.

Chelladurai, P. (1984) Discrepancy between preferences and perceptions of leadership behavior and satisfaction of athletes in varying sports. Journal of Sport Psychology6, 27-41.

Chelladurai, P., Inamura, H., Yamaguchi, Y., Oinuma, Y., & Miyauchi, T. (1988) Sport leadership in a cross-national setting: The case of Japanese and Canadian university athletes. Journal of Sport & Exercise Psychology 10, 374-389.

Chelladurai, P., & Riemer, H. A. (1997) A classification of athlete satisfaction. Journal of Sport Management 11, 133-159.

Danylchuk K. (1993) Occupational stressors in physical education faculties. Journal of Sport Management 7, 7-24.

Erdfelder, E., Faul, E., & Buchner, A. (1996) Gpower: a general power analysis program. Behavior Research Methods, Institutions, & Computers 28, 1-11.

Eys, M. A., & Carron, A. V. (2001) Role ambiguity, task cohesion, and task self-efficacy. Small Group Research 32, 356-373.

Eys, M. A., Carron, A. V., Beauchamp, M. R., & Bray, S. R. (2003) Role ambiguity in team sports. Journal of Sport & Exercise Psychology 25, 534-550.

Eys, M. A., Carron, A. V., Bray, S. R., & Beauchamp, M. R. (2003) Role ambiguity and athlete satisfaction. Journal of Sport Sciences 21, 391- 401.

Fisher, C. D., &Gitelson, R. (1983) A meta-analysis of the correlates of role conflict and ambiguity. Journal of Applied Psychology 68, 320-333.

Horne, T., & Carron A. V. (1985) Compatibility to coach-athlete relationships. Journal of Sport Psychology 7, 137-149.

Jackson, S. E., & Schuler, R. S. (1985) A meta-analysis and conceptual critique of research on role ambiguity and role conflict in work settings. Organizational Behaviour and Human Decision Processes 36, 16-78.

Kahn, R. L., Wolfe, D. M., Quinn, R. P., Snoek, J. D., & Rosenthal, R. A. (1964) Organizational stress: Studies in role conflict and ambiguity. New York: Wiley.

Koustelios, A, Kellis, S, & Bagiatis, K. (1999) Job satisfaction and burnout in a sport setting: A multiple regression analysis. European Journal for Sport Management 6, 31-39.

Li, M. (1993) Job satisfaction and performance of coaches of the spare-time sports schools in China. Journal of Sport Management 7, 132-140.

Madrigal, R. (1995) Cognitive and affective determinants of fan satisfaction with sporting event attendance. Journal of Leisure Research 27, 205–227.

Pastore, J. (1993) Job satisfaction and female college coaches. The Physical Educator 50, 216-221.

Proios, M, Tsigilis, N, & Doganis, G. (2005) Examining referees’ task and ego orientation in sport: A preliminary examination of the construct validity of a questionnaire. International Journal of Sport Psychology 1, 99-109.

Riemer, H. A., & Chelladurai, P. (1998) Development of the Athlete Satisfaction Questionnaire (ASQ). Journal of Sport & Exercise Psychology 20, 127-156.

Riemer, H. A., & Chelladurai, P. (2001) Satisfaction and commitment of Canadian university athletes: The effect of gender and tenure. AVANTE 7, 27-50.

Schliesman, E. S. (1987) Relationship between the congruence of preferred and actual leader behavior and subordinate satisfaction with leadership. Journal of Sport Behavior 10, 157-166.

Schriensheim, C. A., Eisenbach R. J., & Hill K. D. (1991) The effect of negation and polar opposite item reversals on questionnaire reliability and validity. Education and Psychological Measures 51, 67-78.

Schuller, R,, Aldag, R., & Brief, A. P. (1977) Role conflict and ambiguity a scale Analysis. Organizational Behavior and Human Performance 20, 111-128.

Spector, P. E., Van Katwyk, P. T., & Brannick, M. T. (1997) When two factors don’t reflect two constructs: How item characteristics can produce artificial factors. Journal of Management 23, 659-677.

Theodorakis, N, & Bebetsos, E. (2003) Examination of athletes’ satisfaction: A first approach. Inquires in Sport and Physical Education 1, 197-203. [Online serial, In Greek; English abstract].

Tsigilis, N, Masmnidis, T, & Koustelios, A. (2004) Effectiveness of campus recreation program: Construct validity of the Target Population Satisfaction Index. Physical Education & Sport, 53, 27-36. [In Greek; English abstract].

Tubre, T. C., & Collins, J. M. (2000) A meta-analysis of the relationships between role ambiguity, role conflict, and job performance. Journal of Management 26, 155-169.

Weiss, M. R., & Friedrichs, W. D. (1986) The influence of leader behaviors, coaches attributes, and institutional variables on performance and satisfaction of collegiate basketball teams. Journal of Sport Psychology 8, 332-346.

2015-11-06T20:24:34-06:00March 14th, 2008|Sports Coaching, Sports Management, Sports Studies and Sports Psychology|Comments Off on Relations between Role Ambiguity and Athletes’ Satisfaction among Team Handball Players

Nutrition Knowledge and Attitudes of College Athletes

Abstract:

Research indicates that the nutritional knowledge of athletes is minimal. Dietary behaviors may hinder health status and athletic performance. The purpose of this study was to compare nutrition knowledge and attitudes of college athletes at a Southern university (N=190). Male and female athletes were surveyed from all sports.  The study examined knowledge of current dietary recommendations, sources of nutrients, healthy food choices, and the relationship between diet and disease processes.  Significant differences in overall knowledge were noted between athletes’ collegiate sports and genders. The majority of athletes at this university had healthy attitudes about eating behaviors, but low knowledge scores.

A problem facing America’s college youth today is the lack of available healthy fast foods or easily prepared foods. College students have little time and space when it comes to meal preparation within the confines of dorms, apartments, or shared housing.  An additional concern is the knowledge needed to determine which food items to select.  Current research indicates that as the athletes’ knowledge increases, nutritional quality of food choices improves (Kunkel, Bell, & Luccia, 2001).

Nutritional Education and Training (NET) programs are taught to children in most public schools (Sizer & Whitney, 2000), yet few college-age students understand even the basic concepts of nutrition by the time they reach a university setting (Cho & Fryer, 1974; Grandjean, Hursh, Manjure, & Hanley, 1981).

Student athletes with higher nutritional knowledge may obtain information to help increase performances and or maintain healthy or competitive weights (Barr, 1987).  However, athletes participating in certain athletic sports have more problems obtaining basic nutrient needs (Beals & Manore, 1998) while attempting to attain or maintain a weight that allows them  to stay competitive.

Some nutritional information obtained by athletes may be unreliable (Barr et al., 1997), contributing to the problem of athletes making poor dietary choices (Evans, Sawyer-Morse, & Betsinger, 2000). The purpose of this study was to examine nutrition knowledge and attitudes in a sample of athletes in a university setting.

Methods:

Data Collection Instruments

Nutritional knowledge was assessed using the Nutrition and Knowledge Questionnaire developed by Parameter and Wardle (2000). Permission for use of the questionnaire was obtained. The questionnaire included four sections covering (a) experts’ recommendations regarding increasing and decreasing intake of different food groups, (b) nutrient knowledge,  (c) food choices (which ask people to choose between different options, e.g., to pick a healthy snack which is low in fat and high in fiber), and (d) the relationships between diet and disease.  This last section addresses beliefs about which foods can cause particular diseases as well as knowledge of diseases associated with eating too much or too little of various foods.

Nutrition attitudes were measured using the Eating Attitudes Test (EAT 26) developed by Garner and Garfinkel (1979).  Access to the questionnaire was obtained online with permission of the authors.  The Eating Attitudes Test (EAT-26) is probably the most widely used standardized measure of symptoms and concerns characteristic of eating disorders (Garner, Olmstead, Bohr, & Garfinkel, 1982).  Early identification of eating disorders is obtained by using the questionnaire as a screening tool to allow early treatment and prevention of long-term physical and psychological complications.

The demographic questions measured consisted of age, ethnic origin, year in school, and collegiate sport.  Questions were asked about the student athletes’ frequency of working out, height, weight, supplement use, and previous nutrition classes.

Participants

After obtaining approval from the institution’s review board, participants were recruited from each of the athletic departments, including football, volleyball, basketball, softball, gymnastics, golf, tennis, swimming, cross-country/track and field, and soccer. One hundred and ninety participants aged 18-24 were surveyed.  Coaches were initially informed of the study by e-mail.  After the initial introduction by e-mail, another e-mail was sent to obtain consent from the coaches.

Procedure

All collegiate athletes were asked to voluntarily complete the knowledge and attitude survey. Surveys were disseminated before or after weight training sessions or before or after workouts. Each athlete was given the nine-page questionnaire to complete using as much time as necessary to answer all the questions.  All athletes completed all sections of the study, with the exception of the gymnastic team. Coaches of the gymnastics team opted not to allow their athletes to complete the attitudes section of the survey because some of the gymnastic athletes were involved in counseling for problematic eating behaviors.  The coaches were concerned that athletes would be put under more duress if challenged by a questionnaire assessing current nutritional habits.

Data Analyses

Statistical analyses were conducted using programs available in SPSS, version 11.0.  Descriptive statistics were used to determine means and percentages of groups.   Analysis of variance (ANOVA) was used to test for group mean differences in knowledge/attitudes and for relationships between knowledge scores and age, year in school, and collegiate sport.  Gender differences in knowledge and attitudes were analyzed using an independent samples t test.

Results:

The mean age of female athletes was 19 years of age and the majority of respondents were white. The demographic characteristics are shown in Table 1.

Knowledge and Attitudes in Nutrition Among College Athletes

The nutritional knowledge score had a mean of 51.49% (SD 13.57%).  Of the maximum 11 points for the dietary recommendations section, the mean score was 6.52 (SD 2.02). Seventy-five percent of the respondents were aware of the recommendations to decrease fat, sugar, and salt intake, and 76.1% agreed that it was healthy to increase fiber, fruit, and vegetable intake. Only 32% of the surveyed population responded correctly to the number of fruits and vegetables recommended daily (collectively- five to six servings). Forty-five percent of the athletes stated that experts recommended that we needed four servings or less of fruits and vegetables or they were unsure. However, more than 66% of the students were aware of the recommendation to reduce saturated fat.  When asked about carbohydrate and meat recommendations, 56% agreed that experts say we should eat the same amount of meat as Americans are currently consuming, and 53% of the respondents replied that experts recommend that carbohydrate intake should be less.

  1. Of a possible 67 points for the section on food groups, the mean score was 36.44 (SD 10.02 ). When asked to categorize various foods as either high or low in sugar, fat, starch, salt, protein, fiber, or saturated fats, a slight percentage were aware and no one scored higher than a 56.

 

Of a maximum of 6 points on the everyday food selections section, the mean score was 2.98 (SD 1.25).  When athletes were asked to pick a low fat, high fiber snack, only 37% chose the correct answer (raisins). The most common incorrect response submitted was “nutragrain bar” (39%).  Sixty-eight percent of the athletes agreed that the healthiest pasta-sauce combination should be a large amount of pasta with a small amount of sauce versus the reverse (large amount of sauce with small amount of pasta).  When asked to choose the best choice for low fat, high fiber meal, 42% of the athletes correctly chose beans and rice.  Twenty-eight percent chose grilled chicken and another 22% chose whole wheat with cheese.

In the diet and disease relationships section, athletes were asked if they were aware of links between eating more or less of a particular food and major health problems associated with each. The mean score was 5.57 (SD 2.99) out of a possible 17 points. The highest proportions of people (65%) were aware of a relationship between high fat intake and disease. Of the people who were aware of the fat-disease link, 58% also knew about the link to heart disease and obesity.  Students therefore agreed that fat intake be decreased to reduce risk of heart disease.

Almost 70% of the athletes agreed that eating less salt would help decrease the risk for heart disease.  Students were evenly divided (38% Yes; 38% No; 22% Unsure) as to whether eating less preservatives would decrease the risk for heart disease, indicating that more information should be provided for about food preservatives.

Only 35% were aware of a link between low intake of fruits and vegetables and health problems. Sixty-one percent of the athletes stated that consumption of more fruits and vegetables and fiber intake were methods to reducing the risk for development of cancer.

Slightly over one-third of the athletes (35%) knew of health risks associated with low fiber intake. The majority was unaware of a specific risk with cancer or any specific health problems associated with low fiber intake.

When asked to discuss diseases or health problems related to sugar, only one athlete out of 190 gave the correct response. The correct answer, teeth (in diseases of the teeth), was the most missed question.  This information indicates that most students, though aware, may not stop to think of the association between sugar and the health of their teeth.  Most students (54%) responded with the answer of diabetes which is also related to sugar intake although much later in life.

A t test between male (n = 92) and female (n = 97) athletes found significant differences in nutritional knowledge (P < .001).  Female athletes scored slightly higher than the males on overall nutritional knowledge, as well as on each individual section of recommendations, food groups, choices, and diseases.

Eating attitudes were assessed using the 26-item Eating Attitudes Test (EAT-26).  Mean scores for the 104 participants (gymnasts were excluded from this part of the survey) were 6.04 (SD = 5.96), with only 5.8% demonstrating a potential for having or acquiring an eating disorder (scores > 20).

Gender differences noted in the EAT-26 were not significant (equal variances assumed).  Mean scores were just slightly lower for males (M = 5.41; SD = 5.85) than for females (M = 6.73; SD = 6.03).  There were no significant differences between male and female athletes on the attitude sections.

Discussion:

The purpose of this study was to compare nutrition knowledge and attitudes of college athletes at a southern university. The results of this survey reveal a lack of nutritional knowledge among university athletes.  As previous research has indicated (Barr, 1987; Jacobson, Sobonyna & Ransone, 2001), college athletes are lacking in nutritional knowledge.

Previous research in athletic programs shows that the time spent in the athletic program may improve nutritional awareness and positively influence eating behaviors (Clark, 1999).  Athletes’ overall knowledge in the current study was fair. Just over half of the responses were answered correctly. Athletes’ knowledge about dietary recommendations was superior to their knowledge regarding other topics.  Well over half of the athletes were generally aware that they should be eating more or less of particular types of foods.  One topic area that needs improvement is regarding carbohydrate needs; most athletes incorrectly believed that carbohydrates should be decreased in the diet.

Athletes in the current study displayed impressive knowledge regarding fat content of specific foods.  However, they lacked knowledge about types of fats. They were aware that whole grains contain more vitamins and minerals than do other grains.  Knowledge about diet and disease relationships was poor.  The most common known relationship was between heart disease and high fat foods.

Athletes had problems translating their knowledge into food choices.  Only 50% percent of the survey questions regarding food choices were answered correctly.  Marketing may be a contributing factor to the confusion of healthy food choices versus non-healthy food choices (Clark, 1999).

The eating attitudes of athletes were positive. Most athletes at this university were not at risk for eating disorders.  However, scores might been different if the gymnasts participated in the study.

Recommendations:

Sports nutrition has grown over the past decade, linking how an athlete eats with how they perform during practice or competitive events (Clark, 1999).  For this reason and given the results of this study, it would be beneficial to hire a nutritionist as part of the staff.

Coaches can help to enhance the performances of their athletes by promoting good nutrition (Turner & Bass, 2001; Witta, Stombaugh, & Buch, 1995); however, they need to have the nutritional knowledge in order to encourage healthy food choices (Corley, Demarest-Litchford, & Bazzarre, 1990; Wolf, Wirth, & Lohman, 1979). Providing athletes with a person knowledgeable in current dietary recommendations and aware of current eating disorders can perhaps prevent poor athletic performances and the potential problems with eating behaviors.

Nutritional knowledge is related to eating behavior (Burke, Cox, Cummings & Desbrow, 2001; Witta et al., 1995).  Research shows that athletes who receive nutrition education have significantly higher knowledge and attitude scores, and as their knowledge increases, they are more prone to eat or avoid certain foods (Werblow, Fox, & Henneman, 1978).

Lifetime consequences from poor food choices may affect bone health and reproductive health (Turner & Bass, 2001).  Positive attitudes toward nutrition are linked with accurate nutrition knowledge (Witta et al., 1995).  It is necessary to inform college athletes about even the basic dietary concepts.

It is practical to consider that collegiate athletes are knowledgeable about the demands of their individual sports and the nutrients vital to maintain a healthy and competitive state.  However, research in the past tells us different. Both athletes and non-athletes need guidance in selecting nutrient-dense foods (Tilgner & Schiller, 1989) necessary to sustain energy for activities of daily life or endurance sports. More research is needed regarding the effects of nutrition interventions on knowledge, attitudes, and food behavior.

References:

Barr, S. I. (1986). Nutrition knowledge and selected nutritional practices of female recreational athletes. Journal of Nutrition Education, 18, 167.

Barr, S. I. (1987).  Nutrition knowledge of female varsity athletes and university    students.  Journal of the American Dietetic Association, 87, 1660-1664.

Barr, S. I., Heaney, R. P., Scheider, P., Reiners, C., Klesges, R. C., Ward, K. D., et al. (1997). Changes in bone mineral density in male athletes. Journal of the American Medical Association, 277(1), 22.

Beals, K. A., & Manore, M. M. (1998). Nutritional status of female athletes with subclinical eating disorders.  Journal of the American Dietetic Association, 98, 419-425.

Burke, L.M., Cox, G.R., Cummings, N.K. & Desbrow, B. (2001). Guidelines for daily carbohydrate intake: Do athletes achieve them? Sports Medicine, 31, 267-299.

Cho, M., & Fryer, B.A. (1974). Nutritional knowledge of collegiate physical education majors. Journal of the American Dietetic Association, 65, 30.

Clark, K. (1999). Sports nutrition counseling: Documentation of performance. Clinical Nutrition, 14(2), 34.

Corely, G., Demarest-Litchford, M., & Bazzarre, T. (1990). Nutrition knowledge and dietary practices of college coaches. Journal of the American Dietetic Association, 90, 705-709.

Evans, A. E., Sawyer-Morse, M. K., & Betsinger, A. (2000). Fruit and vegetable consumption among Mexican-American college students, Journal of the American Dietetic Association, 100, 1399-1402.

Garner, D. M., & Garfinkel, P. E. (1979). The Eating Attitudes Test: An index of the symptoms of anorexia nervosa. Psychological Medicine, 9, 273-279.

Garner, D. M., Olmstead, M. P., Bohr, Y., & Garfinkel, P. E. (1982). The Eating Attitudes Test: Psychometric features and clinical correlates. Psychological Medicine, 12, 871-878.

Grandjean, A., Hursh, L. M., Majure, W. C., & Hanley, D. F. (1981). Nutrition knowledge and practices of college athletes. Medical Science Sports Exercise, 13, 82.

Jacobson, B. H., Sobonya, C., & Ransone, J. (2001). Nutrition practices and knowledge of collage varsity athletes: A follow-up. The Journal of Strength and Conditioning Research, 15, 63-68.

Kunkel, M., Bell, L. B., & Luccia, H. D. (2001). Peer nutrition education program to improve nutrition knowledge of female collegiate athletes. Journal of Nutrition Education, 33(2), 114-115.

Parameter, K., & Wardle, J. (2000). Evaluation and design of nutritional knowledge measures. Journal of Nutrition Education, 32(5), 269-277.

Sizer, F. & Whitney, E. (2000). Child, teen, and older adult. In Wadsworth (8th Ed.), Nutrition Concepts and Controversies (pp. 469-545). Belmont, CA: Wadworth/Thompson Learning.

Tilgner, S., & Schiller, M. R. (1989). Dietary intakes of female collegiate athletes: The need for nutrition and education. Journal of the American Dietetic Association, 89, 967.
Turner, L. W., & Bass, M. A. (2001). Osteoporosis knowledge, attitudes, and behaviors of female collegiate athletes. International Journal of Sport Nutrition and Exercise Metabolism, 11(4), 482.

Werblow, J. A., Fox, H. M., & Henneman, A. (1978). Nutritional knowledge, attitudes, and food patterns of women athletes. Journal of the American Dietetic Association, 78, 242-245.

Witta, B., Stombaugh, I., & Buch, J. (1995). Nutrition knowledge and eating practices of young female athletes. Journal of Physical Education, Recreation & Dance, 66(3), 36.

Wolf, E. M. B., Wirth, J. C., & Lohman, T. G. (1979). Nutritional practices of coaches in the Big Ten. The Physician and Sportsmedicine, 7, 112.

2020-05-08T11:36:44-05:00March 14th, 2008|Sports Exercise Science, Sports Management, Sports Studies and Sports Psychology|Comments Off on Nutrition Knowledge and Attitudes of College Athletes

The Global Flows of International Professional Baseball System

Abstract

This paper employs concepts drawn from a five-phase model of globalization adapted from the work of Maguire et al. in 2002, which aids in developing an understanding of the global phenomenon of professional baseball. It reports that the five flows of globalization, namely, migrant dimension, technology dimension, economic dimension, media dimension, and ideological dimension are shaping the outcomes of various local professional baseball cultures within the global context and vice versa. The paper concludes that Major League Baseball (MLB) in the U.S. is confirmed as the core economy within world professional baseball; and the global forces, the power of MLB in particular, have been impacting and shaping the outcomes of different local professional baseball cultures with a particular focus on the relationships between the above five flows.

Introduction

During the past generation, especially from the 1980s to the present, the world has experienced fundamental changes, and “globalization has emerged as one of the foremost discourses” (Jackson & Hokowhitu, 2002). According to Bramham and Spink (2001), such dramatic changes can be thought of in six separate dimensions. First, there has been a growing awareness of the ecological environment and the global impact of human activities upon a fragile and interdependent biosphere. Second, social action groups and political movements have tended to transcend the local and to make common cause at a transnational scale. Some of this activity has been facilitated by a revolution of global technology. Third, there has been a cultural transformation, particularly in terms of the decline of tradition. Cultural values can no longer be contained and constrained within a single nation state. Boundaries become increasingly porous as they experience growing flows of people, culture, information, goods, and services. Fourth, social transformations are taking place that loosen the constraints of traditional institutions and local communities on individuals. Fifth, in relation to political change, the growing importance of transnational institutions and agencies, such as the European Union (EU) has become increasingly apparent. Finally, there are economic factors changing global patterns of investment, production, distribution and consumption (Bauman, 1998).

The global development of sport has also accelerated from the 1980s. For example, one can find the flows from country to country of sporting goods, equipment, and landscapes that have grown such as the development of the media-sport production complex and project images to global audiences. In the academic field, the subjects of growth of internationalization or globalization have received much attention from numbers of academics (cf. Chiba, 2004; Law et al., 2002; Magnusson, 2001; Maguire et al., 2002; Takahashi & Horne, 2004). In this paper, the authors employ concepts drawn from a five-phase model of globalization approach, adapted from the work of Maguire et al. in 2002, with a focus on understanding the global phenomenon of professional baseball. They seek to report how the five flows of globalization: migrant dimension, technology dimension, economic dimension, media dimension, and ideological dimension are shaping the outcomes of various local professional baseball cultures within the global context and vice versa.

Theoretical Background

With the radical changes taking place in this global context, a major concern has been raised regarding the consequences of globalizing the sport field. Elite sport now occurs on a worldwide scale and is patterned along what academics term ‘global flows’ (Maguire et al., 2002). In a set of flows in global processes, Maguire et al. propose an elementary framework for exploring such phenomenon, suggesting that there are five dimensions of global flows: migrant dimension, technology dimension, economic dimension, media dimension, and ideological dimension.

According to Maguire et al. (2002), “the migrant dimension involves the international movement of people such as tourists, exiles and guest workers and so on.” This concept of migration refers to the make up of persons who have constituted the shifting world where guest workers, other moving groups, and persons constitute an essential feature of the world in general. In the sport arena, the global migration of sports personnel (e.g. players, coaches etc.) has been a pronounced and established feature of the sporting ‘global village’ in recent decades (Maguire, 1999). For instance, the movement of player migration occurs in some sports, such as professional baseball, between North America, Latin America, and East Asia.

The technology dimension, “created by the flow between countries of the machinery and equipment produced the flow between countries by corporations and government agencies,” (Maguire et al., 2002) making technology “a shaping factor at the nexus of alternative global sport futures, and as such it is a pivotal driver of sport’s global evolution” (Westerbeek & Smith, 2003: 153). Modern technology, such as the development of media, sport equipment etc., has created financial benefits and publicity for professional baseball.

“The economic dimension has been obviously concerned on the rapid flow of money and its equivalents around the world” (Maguire et al., 2002). It is evident that the flow of finance in the global sports arena has come to focus on the international trade in personnel, prize money and endorsements, and the marketing of sport along specific lines. Some good examples are manifested in the transformation of sports such as USA basketball and baseball, Olympic Games, and Football World Cup etc. into global sports.

Another factor that must be considered is “the media dimension, entailing the flow between countries of information and images that are produced and distributed by newspapers, magazines, radio, film, television, video, satellite, cable and the World Wide Web” (Maguire et al., 2002: 5). Currently, global and local media sport organizations have aligned a range of sporting events to meet the global audiences’ interests, of which spectacle, personality, and excitement are emphasized. The sport-related media continuously ‘broadcasts’ images of sports to large global audiences. For example, consider worldwide audiences for the World Baseball Classic in 2006.

The ideological dimension is “linked to the flow of values centrally associated with the state or counter-state ideologies and movements” (Maguire et al., 2002). In the professional baseball business, players are regarded as individual entrepreneurs with rights (e.g. negotiation) (Suzuki, 2000). Nevertheless, except for the MLB, the leagues seem to have different stories (Lee et al., 2006).

Discussions

Migrant Dimension

“Sports migration is bound up in a complex political economy that is itself embedded in a series of power struggles characterizing the global sports system” (Maguire et al., 2002: 32). The U.S. is a central part of the global system. The most striking example of transnational power of sports organization is Major League Baseball (Rosentraub, 2000). Players from outside the United States are defined as guestworkers in this system. In MLB, many players have been recruited from Latin American countries, such as the Dominican Republic, Puerto Rico, and Venezuela. Indeed, U.S. domination increasingly relies on Latin America talent, as illustrated by the professional sporting relations between the U.S. and Latin America (Klein, 1995). On the other hand, one could find that players came from Netherlands despite the fact that football is the most popular sport in Europe. There has been an influx of talented players from Latin America, Europe, and Australia because U.S. capital, technology, and media have provided rapid development related to professional baseball labor conditions. This, together with the infusion of Asian players (Takahashi & Horne, 2004) has fostered the exploitation of the North American professional baseball market over the past years. The baseball business is booming in Asia as a rapidly-swelling band of fans follow the exploits of home-grown players on the other side of the Pacific (Sportbusiness, 2001).

The growing prominence of foreign born baseball players in MLB (see Table 1) appears not only in the performances of foreign superstars such as Sammy Sosa but also in overall number of foreign players now on MLB rosters (Marcano & Fidler, 2000). By 2005, 242 overseas players, which occupied 29.2% of 829 Major League players, were featured from 15 countries together with Puerto Rico and the Virgin Island. The Dominican Republic leads all countries with 91 players; Venezuela is second with 46; and Puerto Rico is third with 34 (Major League Baseball, 2005). The import of MLB players from East Asia in this half decade has also shown a dramatic growth (Chiba, 2004; Reaves, 2002; Takahashi & Horne, 2004).

Twenty-one Japanese, 9 Koreans, and 3 Taiwanese played in the U.S. during the 2001-05 period. “These results indicate that most of the demand for major league players is focused on foreign-born players” (Chiba, 2004: 197). Foreign players strive to play in the Major Leagues because that is the highest level (Koppett, 2000). More importantly, this claim clearly implies “the global migration of sports personnel has been a pronounced feature of recent decades and appears likely to continue in the future” (Maguire et al., 2002: 5).

Table 1 Foreign-Born Baseball Players of the MLB since 1980
5-Year Sets 1980-84 1985-89 1990-94 1995-99 2000-04 2005-now
Percentage 12.45% 13.68% 18.57% 25.41% 27.08% 29.20%

Source: http://japanesebaseball.com/forum/thread.jsp?forum=8&thread=14789

Media Dimension

In terms of media, there are two major and interrelated trends in the spheres of media, marketization, and globalization. And “a number of trends are occurring simultaneously in international sport” (Wagner, 1990: 399). The growing power of the media in recent decades has had a substantial impact on sport (Law et al., 2002) and this has generated excitement and interest in various sports around the world. Such tendency had a substantial impact on sport in many Third World areas, has generated excitement and interest in various heretofore-quiet sports of Asia [baseball] and Africa [football] (Wagner, 1990). Indeed, “reflecting the significant impact of global media on current society, sport media has significantly influenced culture and society, and increased opportunities in the sport related market” (McDonald et al., 2001: 44). In Taiwan, for instance, until the end of 2004, over 85.2 percent of households had cable television (National Communications Commission, 2006) with many foreign satellite channels.  Taiwanese who resided in  Far East Asia were able to watch American television programs, including sports channels, such as ESPN, and the four major U.S. networks: ABC, NBC, CBS, and Fox. Similarly, the global audience unconsciously accepts American sports, commodities, and culture. Professional team sports are distributed through the electronic media (Law et al., 2002). Generally, the growing influence of the [global] media is evident with a wide variety of local cultures such as in Taiwan, Japan etc. where the development of media has significantly affected people’s daily life in which sport is inevitably included. The recent New York Yankee’s phenomenon of MLB in Japan and Taiwan could be illustrated as a good example in responding to the above claim. Therefore, “the transnational media has overtaken many dimensions of the business of sport” (Phillips & Hutchins, 2003: 217), and professional baseball industry is deemed as one of the media concern. Both the globalization of American-style sport and the creation of global professional baseball audiences “have been made possible by the development of ‘the media-sport production complex’” (Melnick & Jackson, 2002: 431).

As to be expected, the development of high technology has accelerated the development of global media, especially in the field of sport broadcasting, which has introduced MLB to the rest of the world through television channels which have simultaneously satisfied the global public’s fascination with such sport. Given the importance of sport media, new media technology such as satellite broadcasting, the Internet, and so on have made significant contributions to the promotion of professional baseball in general and Major League Baseball in particular. Professional baseball broadcasting reflects the phenomenon from an international perspective that explains the rapid spread of sport media programs (e.g. live games broadcasting of MLB). Besides, the existence of broadcasts has “greatly enhanced the revenues and financial health of organized baseball…the combination of commodity and non-commodity broadcasts enabled baseball to earn higher revenues than it might otherwise have earned” (Weiner, 2002: 25). For example, the Chinese Professional Baseball League (CPBL) in Taiwan has its game telecasts sponsored by the Videoland TV Company. This has become the pivotal income of clubs which have been suffering from red deficits for years since the League’s inauguration.

Technology Dimension

The rapid development of electronic media is evidenced by the development of video, satellite, cable, digital networks, and the Internet in recent decades. The continuous movement of new technologies has “accelerated the phenomenon of global integration and business opportunities related to global sport” (McDonald et al., 2001: 44).

Sport functions to provide a cheap and simple way of spending time and “as a means of enticing viewers to make the massive monetary and ‘technological shift to digital television’” (Miller, 1999: 123). The development towards what we can now see global professional baseball network has been marked by further rapid technological expansion, particularly in electronic media. And, “the impact of technology on the expansion and popularity of sport through television and the Internet is established” (Westerbeek & Smith, 2003: 131). Actually, technological innovations in the professional baseball industry have had a significant effect in providing audiences with information and entertainment of a sporting nature. Through the aid of modern media technology, which has created finical benefits and publicity for professional baseball, the global nature of this specific ‘industry’ is associated with its development into big business. Here, one tends not to overemphasize the ‘witnessed big success’ of the MLB, which is evidently dependent on the global media and technology. Rather, consider Taiwan, where the professional baseball business is benefited by harnessing the resources and technologies made available by media corporations such as Videoland TV Company.

Interestingly, new global technologies have been shown to have the potential to serve as savior and enemy of local professional baseball cultures. On the one hand, new technologies such as the Internet and satellite television are enabling ‘remote’ professional baseball systems to communicate with MLB, which plays a significant role in providing a stimulus for the rest of baseball world. On the other, these same technologies are also able, intentionally and unintentionally, to contribute to the exploitation and loss of local baseball cultures.

Economic Dimension

As noted, the globalization of sport is equally about the appeal of sport and its implications with world capitalism in which the “complex and contradictory links among sport, politics, and global capitalism in a country that is on the economic and political periphery” (Miller et al., 2003: 428). Money is generated through professional sports, international sports competitions, and the televizing of major sporting events. More precisely, this global capital phenomenon has led to a financial flow that has clearly impacted various local sport cultures. “The flow of finance in the global sports arena has come to center not only on the international trade in personnel, prize money and endorsements, but also on the marketing of sport along specific lines” (Maguire et al., 2002: 5).

Among the network of international professional baseball, the U.S. plays an influential role due to its economic status in the world. To attract excellent players, the MLB pays more money to ‘import’ or ‘exploit’ players than other countries. The release of American capital, supplied by stakeholders such as the media, supporters, and shareholders has impacted other leagues in other countries. In Japan, for example, partly because of players challenging themselves (participating in the MLB) and partly because of monetary factors, the forceful USA capital has brought about obstacles for the management of Japanese leagues and this has had a negative impact on professional clubs. More and more baseball fans now would rather pay attention to MLB than domestic leagues. This shows that the prevailing globalization of professional team sports will not really benefit every country since American capital transfers around the world without boundaries. In contrast, some countries have been damaged. For instance, “U.S. MLB retains the vast majority of elite athletic talent in the world, American and imported, largely through its enormous capital base” (Chiba, 2004: 207).  Interestingly, Japanese companies sponsor the CPBL, which means “Japanese capital can thus support leagues and clubs elsewhere in Asia and stimulate Japanese players to move to those countries where the capital flows” (Takahashi & Horne, 2004: 52). Consequently, within the context of global capitalism, the struggle to maintain and protect local professional baseball cultural spaces (e.g. Taiwan, Japan, and Latin American countries) where identities can be constructed and affirmed have become complex and difficult (Jackson & Hokowhitu, 2002). Baseball, which has been traditionally claimed by the above countries as a national game is now, more than ever before, inevitably subject to foreign influences, namely, the economic power of MLB.

Ideological Dimension

In professional team sports, the 1996 Bosman ruling proved the value of players’ ideology. In general, the Bosman ruling has abolished the legality of all movement restrictions or nationality clauses for athletes, comfirming  the right of an EU citizen player to move to another country free of any transfer upon the expiration of his contract (Horne et al., 2001: 248). After the Bosman judgment, European players were no longer tied to clubs even when out of contract and players with the big clubs can demand more pay in return for committing themselves to longer contracts (Magnusson, 2001). They won freedom of movement between clubs.

Compared to the professional football arena, current professional baseball leagues players express a similar desire to operate as free agents or associations and have tried to seek a beneficial balance between players and leagues. In MLB, the managerial operating mechanism is recognized as successful and thus the right of players is assured (Suzuki, 2000). Nevertheless, the free movement of baseball talents within Taiwan and Japan was dependent upon the establishment of administrative agreements and common regulations implemented by leagues and clubs. Recently, promotion [improvement] of Taiwan’s draft pick system has been considered by the clubs and the league, however, in comparison with professional baseball leagues either in the USA or Japan, Taiwan still needs to promote its own system. In Japan, despite having a more ‘advanced and sound’ operating mechanism in professional baseball system than Taiwan’s case, the NPB players’ rights are still, to some degree, far behind the players in MLB. For instance, in 1993, a free agency system had been implemented, nevertheless, there still exist limitations that have hindered players’ mobility, such as the fact that players were unable to be free agents after 9 years of service in the first club (Lee et al., 2006). Meanwhile, before the period of obtaining the right of free agency, if players intend to develop careers in MLB, they have to get through a termed Positing System which, unfortunately, prevents players from choosing clubs. Ironically, only the players belonging to clubs in the NPB can select or refuse the offers from MLB clubs (Suzuki, 2000). In this sense, in the development of the Japanese professional baseball it is necessary to promote players’ rights. Having given similar concern to such phenomenon in Taiwan, this matter must be considered by the stakeholders within its governance system.

Conclusions:

This paper has sought to highlight some of the broad patterns and structures that characterize global professional baseball sports system. The professional baseball industry is developing and evolving very rapidly, creating opportunities and threats that can be captured by other professional baseball leagues in East Asia and Latin America. MLB in the U.S. is confirmed as the core economy within world professional baseball. Non-core leagues such as the NPBL and CPBL have developed dependent relationships with the dominant North American core in terms of the technology, design, production, and marketing of professional baseball business. Meanwhile, Eastern Asia and Latin American countries have constructed reputations as major producer nations, and powerful MLB clubs are constantly scouting for cheaper products those they can import and exploit. The lure of the financial gains accruing from a move to the MLB has offered a strong incentive and is significant in explaining such migration flows. The professional baseball business and the media have come to adhere to he ideologies, structures, and practices of corporate capitalism as they have satisfied each other’s commercial needs. It is evident that global forces, the power of MLB in particular, have been shaping the outcomes of different local professional baseball cultures with a particular focus on the relationship between, migration of players, capitalism, new media technologies, and ideology.

References:

Bauman, Z. (1998). Globalization: The human consequences. Cambridge: Polity Press.

Bramham, P., & Spink, J. (2001). Globalisation. In C. Wolsey and J. Abrams (eds.), Understanding the Leisure and Sport Industry. Harlow: Longman.

Chiba, N. (2004). Pacific Professional Baseball Leagues and Migratory Patterns and Trends: 1995-1999. Journal of Sport and Social Issues, 28 (2), 193-211.

Horne, J., Tomlinson, A., & Whannel, G. (2001). Understanding sport: an introduction to the sociological and cultural analysis of sport. London: E & FN Spon.

Jackson, S. & Hokowhitu, B. (2002). Sport, tribes, and technology: The New Zealand all Blacks Haka and the politics of identity. Journal of Sport and Social Issues, 26 (2), 125-139.

Klein, A. M. (1995). The Dominican Republic: Social change and political stagnation. Latin American Perspectives, 22 (3), 111-130.

Koppett, L. (2000). The globalization of baseball: Reflections of a sports writer. Indiana Journal of Global Legal Studies, 8(1), 81-84.

Law, A., Harvey, J., & Kemp, S. (2002). The global sport mass media oligopoly: The three usual suspects and more. International Review for the Sociology of Sport, 37 (3-4), 279-302.

Lee, P. C., Takahashi, Y., Lin, C. Y., & Sasaki, K. (2006). The managerial features of two professional sporting systems: The comparative cases of professional baseball in Japan and Taiwan (unpublished workshop manuscript).

Major League Baseball, (2005, April 7). 29.2 percent of Major League baseball players born outside the U.S. Retrieved August 20, 2005, from http://mlb.mlb.com/NASApp/mlb/news/press_releases/press_release.jsp?ymd=20050407&content_id=1003066&vkey=pr_mlb&fext=.jsp&c_id=mlb

McDonald, M., Mihara, T. & Hong, J. B. (2001). Japanese spectator sport industry. European Sport Management Quarterly, 1, 39-60.

Magnusson, G. K. (2001). The internationalization of sports. International Review for the Sociology of Sport, 36 (1), 59-69.

Maguire, J. (1999). Global sport: Identities, societies, civilizations. Cambridge: Polity Press.

Maguire, J., Jarvie, G., Masfield, L., & Bradely, J. (2002). Sport worlds: A sociological perspective. Illinois, Champagin: Human Kinetics.

Marcano A. J. & Fidler, D. P. (2000). The globalization of baseball: Major League Baseball and the mistreatment of Latin American baseball talent. Indiana Journal of Global Legal Studies, 8(1), 511-577.

Melnick, M. J. & Jackson S. J. (2002). Globalization American-Style and reference idol selection: The importance of athlete celebrity others among New Zealand youth. International Journal of Asian Society for Physical Education and Sport, 37(3-4), 429-448.

Miller, T. (1999). Televisualization.  Journal of Sport and Social Issues, 23(2), 123-125.

Miller, T., Rowe, D., McKay, J., & Lawrence, G. (2003). The over-production of us sport and thee new international division of cultural labor. International Review for the Sociology of Sport, 38(4), 427-440.

National Communications Commission, (2006). The 2004 cable TV penetration rate in Taiwan (in Chinese). Retrieved March 10, 2006, from http://www.dgt.gov.tw/chinese/About-dgt/Publication/94/images/pic-jpg/13.JPG

Phillips, M. G. & Hutchins, B. (2003). Losing control of the ball: The political economy of football and the media in Australia. Journal of Sport and Social Issues, 27 (3), 215-232.

Reaves, J. A. (2002). Taking in a game: A history of baseball in Asia. Lincoln and London: University of Nebrasks Press.

Rosentraub, M. S. (2000). Governing sports in the global era: A political economy of Major League Baseball and its stakeholders. Indiana Journal of Global Legal Studies, 8(1), 121-144.

Sportbusiness, (2001). Asia is baseball’s second home: While its domestic Leagues stumble, Major League Baseball is enjoying a new boom in Asia. London: Sportbusiness.

Suzuki, T. (2000, December 30). The exploitation of professional baseball players in Japan. Retrieved August 15, 2005, from http://www.admsports.com/html/column/academics/eopbp.pdf

Takahashi, Y. & Horne, J. (2004). Internationalization and sports talent migration: A case study of baseball and football players moving from Japan to other Asian countries. International Journal of Asian Society for Physical Education and Sport, 2(1), 49-52.

Wagner, E. A. (1990). Sport in Asia and Africa: Americanization or mundialization? Sociology of Sport Journal, 7, 399-402.

Weiner, R. D. (2002). The effects of broadcasting on professional baseball: A Marxian analysis. Rethinking Marxism, 14 (1), 8-28.

Westerbeek, H. & Smith, A. (2003). Sport business in the global marketplace. Hampshire: Palgrave Macmillan.

2018-03-22T11:33:10-05:00March 14th, 2008|Contemporary Sports Issues, Sports Management, Sports Studies and Sports Psychology|Comments Off on The Global Flows of International Professional Baseball System

Book Review: Olympic Education in Russia

In Olympic Education in Russia, author Vladimir Rodichenko argues for Olympic educational programs. The creation of a Russian Olympic educational program was motivated by Rule 28 of the Olympic Charter, which called for the creation of an Olympic education system. More importantly, Rodichenko posits, was the drive to create a socio-pedagogical paradigm that introduced children to the human ideals and moral and cultural values associated with the Olympic Movement. In his account of the Russian Olympic educational program, Rodichenko discusses the Russian model of Olympic education, the development of an Olympic textbook, and the creation of the 12 Russian Olympic Academies. He also offers insight into concepts of Olympism in Russia.

In the first two chapters of Olympic Education in Russia, Rodichenko describes how the Russian Olympic educational program came about and how Olympic education was introduced in the Russian school system. He explains how physical education was “enriched” by Olympic education in Russian schools. Olympic education became part of the theory of physical education taught in Russian schools.

An integral part of the development of the Russian Olympic educational program was the creation of an Olympic textbook, which was used as teaching aid in Russian schools. Rodichenko offers a brief historical account of the development of the first 15 editions of the Olympic textbook and how its content structure has changed through the years.

Finally, Rodichenko explains the importance of the 12 Russian Olympic Academies and the role they play in the greater scheme of the Russian Olympic education system. He briefly underscores the importance of Olympism as a popular social movement in Russia and details how Russian scholars have contributed to promoting the Olympic Movement through research and service.

Olympic Education in Russia offers interesting insights into the Russian Olympic education system. The book is a good read for those interested in how Olympic education was instituted and structured in Russia. In addition, it can be used as supplementary reading in an Olympism course.

Author: Vladimir Rodichenko
Published in 2005 by Fizkultura i Sport Publishing House: Moscow, Russia.
(39 pages, ISBN 5-278-00789-3).
ISBN: 0-8108-5893-2

2013-11-25T22:54:58-06:00March 14th, 2008|Contemporary Sports Issues, Sports Management, Sports Studies and Sports Psychology|Comments Off on Book Review: Olympic Education in Russia
Go to Top