This article describes the characteristics of diversity within academia and professional organizations in general and specifically within Kinesiology departments and Kinesiology-related organizations. While other types of diversity exist, this article refers to diversity in terms of race/ethnicity, gender, age, physical capability, socioeconomic background, and/or sexual orientation. Two Kinesiology departments, within the context of their universities, in two different regions of the United States are presented as models of best practice to improve institutional diversity. Also presented are one detailed example and several general examples of methods by which Kinesiology-related professional organizations have developed intentional strategies to improve diversity in membership and leadership. Presented models could, at least in part, be used by administrators and leaders to improve diversity within academic institutions and professional organizations.
NiCole R. Keith and Jared A. Russell
NiCole R. Keith, Daniel O. Clark, Timothy E. Stump, Douglas K. Miller and Christopher M. Callahan
An accurate physical fitness survey could be useful in research and clinical care.
To estimate the validity and reliability of a Self-Reported Fitness (SRFit) survey; an instrument that estimates muscular fitness, flexibility, cardiovascular endurance, BMI, and body composition (BC) in adults ≥ 40 years of age.
201 participants completed the SF-36 Physical Function Subscale, International Physical Activity Questionnaire (IPAQ), Older Adults’ Desire for Physical Competence Scale (Rejeski), the SRFit survey, and the Rikli and Jones Senior Fitness Test. BC, height and weight were measured. SRFit survey items described BC, BMI, and Senior Fitness Test movements. Correlations between the Senior Fitness Test and the SRFit survey assessed concurrent validity. Cronbach’s Alpha measured internal consistency within each SRFit domain. SRFit domain scores were compared with SF-36, IPAQ, and Rejeski survey scores to assess construct validity. Intraclass correlations evaluated test-retest reliability.
Correlations between SRFit and the Senior Fitness Test domains ranged from 0.35 to 0.79. Cronbach’s Alpha scores were .75 to .85. Correlations between SRFit and other survey scores were –0.23 to 0.72 and in the expected direction. Intraclass correlation coefficients were 0.79 to 0.93. All P-values were 0.001.
Initial evaluation supports the SRFit survey’s validity and reliability.