The Segal fatness-specific bioelectrical impedance (BIA) equations are useful for predicting fat-free mass (FFM). Stolarczyk et al, proposed a modified method of averaging the two equations for individuals who are neither lean nor obese, thus eliminating the need to know % BF a priori. To cross-validate this modification, we compared FFM determined using the averaging method versus hydrostatic weighing for 76 adults. Per the averaging method, accuracy for males was excellent (r = .91, SEE = 2.7kg, E = 2.7kg), with 78% of individuals within ± 3.5% BF predicted by hydrostatic weighing. Accuracy for females was lower (r = .88, SEE = 3.0kg, E = 3.1 kg), with %BF of 51% within ±3.5% of the reference method. The relative ease and practicality of the averaging method and the results of this study indicate this method may be useful with a diverse group.
Donna W. Lockner, Vivian H. Heyward, Sharon E. Griffin, Martim B. Marques, Lisa M. Stolarczyk and Dale R. Wagner
Thomas A. Bergandi, Marsha G. Shryock and Thomas G. Titus
The purpose of this study was to develop and validate a sport-specific version of Nideffer’s (1976a) Test of Attentional and Interpersonal Style (TAIS), specifically in regard to the sport of basketball. Collegiate basketball players (N = 43) participated in the research, 20 males and 23 females. The subjects were administered two instruments, the original TAIS and the Basketball Concentration Survey (BCS). The items contained in the BCS were a conversion of the 59 pertinent items contained in the original. The instruments were administered early in the season and the results were correlated with nine seasonal performance variables ranging from field-goal percentage to total number of steals. The results show the BCS to have significant reliability as well as significantly accounting for performance variability. The BCS had highly significant correlations with seven of the nine performance variables.
M. Elizabeth Verner, Jeffrey B. Hecht and A. Gigi Fansler
This paper describes the development of a survey instrument to assess athletics donor motivation. An extensive literature review, followed by interviews with athletics donors, identified 14 dimensions of donor motivation. Expert review and field testing of potential survey items reduced the number of dimensions of athletics donor motivation to 12. The final instrument, Motivation of Athletics Donors (MAD-1), was pilot tested with a sample of donors from 10 NCAA Division I athletics programs. Eleven scales were validated using confirmatory factor analysis, scale reliabilities (Cronbach's alpha), and item-to-total correlations. These results (a) provide the foundation necessary for systematic study of athletics donor behavior utilizing social cognitive theory as the theoretical framework, and (b) support the use of the MAD-1 as a practical instrument for assessing the specific motivations of any particular donor group.
Weiyun Chen, Kristin Hendricks and Weimo Zhu
The purpose of this study was to design and validate the Basketball Offensive Game Performance Instrument (BOGPI) that assesses an individual player’s offensive game performance competency in basketball. Twelve physical education teacher education (PETE) students playing two 10-minute, 3 vs. 3 basketball games were videotaped at end of a basketball unit in one physical education teaching methods course. Two investigators independently coded each player’s offensive game behaviors with BOGPI. The interrater reliability of the BOGPI was 99% and the alpha reliability coefficient for the total scale of the BOGPI was .95. The content validity evidence of the BOGPI was established by six experienced experts’ judgment. The results of this study indicate that the BOGPI is a theoretically sound and psychometrically supported measure that can be used by researchers and teacher educators to assess the preservice teachers’ offensive game performance ability in basketball.
Aïna Chalabaev, Mélanie Emile, Karine Corrion, Yannick Stephan, Corentin Clément-Guillotin,, Christian Pradier and Fabienne d’Arripe-Longueville
This article presents the development and validation of the Aging Stereotypes and Exercise Scale (ASES), which measures different dimensions of aging stereotypes in the exercise domain. Drawing on past research on older adults’ perceived barriers to exercise, these dimensions include stereotypes about positive and negative exercise outcomes for older adults and about older adults’ psychological barriers to exercise (i.e., lack of self-efficacy and motivation). Four studies involving 714 participants examined the factorial structure and invariance, temporal stability, and external validity of the scale. The results supported a 3-factor model that was invariant across age. Age differences in stereotype content appeared, with older adults holding more positive stereotypes than younger adults. Also as predicted, the more older adults endorsed negative stereotypes, the lower their physical self-worth, self-rated health, and subjective age. Last, responses to the ASES appeared to be stable over a 6-wk period.
Nathan Smith, Damien Tessier, Yannis Tzioumakis, Eleanor Quested, Paul Appleton, Philippe Sarrazin, Athanasios Papaioannou and Joan L. Duda
This article outlines the development and validation of the Multidimensional Motivational Climate Observation System (MMCOS). Drawing from an integration of the dimensions of the social environment emphasized within achievement goal theory and self-determination theory (as assumed within Duda’s  conceptualization of “empowering” and “disempowering” climates), the MMCOS was developed to enable an objective assessment of the coach-created motivational environment in sport. Study 1 supported the initial validity and reliability of the newly developed observation system. Study 2 further examined the interobserver reliability and factorial structure of the MMCOS. Study 3 explored the predictive validity of the observational system in relation to athletes’ reported basic psychological need satisfaction. Overall, the results of these studies provide preliminary support for the inter- and intraobserver reliability, as well as factorial and predictive validity of the MMCOS. Suggestions for the use of this observational system in future research in sport are provided.
Edward MeAuley and Kerry S. Courneya
This paper documents the development and validation of the three-factor Subjective Exercise Experiences Scale (SEES), a measure of global psychological responses to the stimulus properties of exercise. Two of these factors correspond to the positive and negative poles associated with psychological health, Positive Weil-Being and Psychological Distress, whereas the third factor represents subjective indicants of Fatigue. The three-factor structure originally established by exploratory factor analysis using young adults was also supported in middle-aged exercising adults using confirmatory factor analytic techniques. Moreover, convergent and discriminant validity for the SEES subscales was demonstrated by examining relations with measures of affect regularly employed in exercise domain. The SEES may represent a useful starting point for more thoroughly examining exercise and subjective responses at the global level, and these dimensions of the scale may represent possible antecedents of specific affective responsivity.
Judith L. Oslin, Stephen A. Mitchell and Linda L. Griffin
The purpose of this article is to report on the development and validation of the Game Performance Assessment Instrument (GPAI). The GPAI is a multidimensional system designed to measure game performance behaviors that demonstrate tactical understanding, as well as the player’s ability to solve tactical problems by selecting and applying appropriate skills. The GPAI provides analyses of individual game performance components (e.g., decisions made, skill execution, and support) and/or overall performance (e.g., game involvement and game performance). The individual game performance components were developed and evaluated by experts to determine validity and reliability. The GPAI protocol was field tested across three categories of games: invasion (soccer and basketball), net/wall (volleyball), and field/run/score (softball). Validity and reliability were examined through three separate studies using middle school physical education specialists and their sixth-grade classes. Findings suggest that the GPAI provides a valid and reliable method for assessing game performance.
Sarah E. Williams, Jennifer Cumming, Nikos Ntoumanis, Sanna M. Nordin-Bates, Richard Ramsey and Craig Hall
This research validated and extended the Movement Imagery Questionnaire-Revised (MIQ-R; Hall & Martin, 1997). Study 1 (N = 400) examined the MIQ-R’s factor structure via multitrait-multimethod confirmatory factor analysis. The questionnaire was then modified in Study 2 (N = 370) to separately assess the ease of imaging external visual imagery and internal visual imagery, as well as kinesthetic imagery (termed the Movement Imagery Questionnaire-3; MIQ-3). Both Studies 1 and 2 found that a correlated-traits correlated-uniqueness model provided the best fit to the data, while displaying gender invariance and no significant differences in latent mean scores across gender. Study 3 (N = 97) demonstrated the MIQ-3’s predictive validity revealing the relationships between imagery ability and observational learning use. Findings highlight the method effects that occur by assessing each type of imagery ability using the same four movements and demonstrate that better imagers report greater use of observational learning.
James C. Martin, Douglas L. Milliken, John E. Cobb, Kevin L. McFadden and Andrew R. Coggan
This investigation sought to determine if cycling power could be accurately modeled. A mathematical model of cycling power was derived, and values for each model parameter were determined. A bicycle-mounted power measurement system was validated by comparison with a laboratory ergometer. Power was measured during road cycling, and the measured values were compared with the values predicted by the model. The measured values for power were highly correlated (R 2 = .97) with, and were not different than, the modeled values. The standard error between the modeled and measured power (2.7 W) was very small. The model was also used to estimate the effects of changes in several model parameters on cycling velocity. Over the range of parameter values evaluated, velocity varied linearly (R 2 > .99). The results demonstrated that cycling power can be accurately predicted by a mathematical model.