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Showing 1 to 15 of 37 results
Peer reviewed
Direct linkAmireault, Steve; Godin, Gaston – Measurement in Physical Education and Exercise Science, 2014
The purpose of this study was to provide three construct validity evidence for using fitness center attendance electronic records to objectively assess the frequency of leisure-time physical activity among adults. One hundred members of a fitness center (45 women and 55 men; aged 18 to 64 years) completed a self-report leisure-time physical…
Descriptors: Physical Fitness, Adults, Physical Activity Level, Leisure Time
Chen, Senlin; Welk, Gregory J.; Joens-Matre, Roxane R. – Measurement in Physical Education and Exercise Science, 2014
As the prevalence of childhood obesity increases, it is important to examine possible differences in psychosocial correlates of physical activity between normal weight and overweight children. The study examined fatness (weight status) and (aerobic) fitness as Enabling factors related to youth physical activity within the Youth Physical Activity…
Descriptors: Obesity, Physical Fitness, Physical Activity Level, Influences
Montoye, Alexander H.; Pfeiffer, Karin A.; Suton, Darijan; Trost, Stewart G. – Measurement in Physical Education and Exercise Science, 2014
The responsiveness to change of the Actical and ActiGraph accelerometers was assessed in children and adolescents. Participants (N = 208) aged 6 to 16 years completed two simulated free-living protocols, one with primarily light-to-moderate physical activity (PA) and one with mostly moderate-to-vigorous PA. Time in sedentary, light, moderate, and…
Descriptors: Measurement Equipment, Change, Children, Adolescents
Liu, Wenhao; Nichols, Randall A.; Zillifro, Traci D. – Measurement in Physical Education and Exercise Science, 2013
This study compared a three-year tracking of health-related physical fitness between two comparable samples of six graders that enrolled either in a PE4life middle school ("n"?=?154) or another school with a traditional PE program ("n?"=?93) in the United States. For the cohort, the FITNESSGRAM[TM] (Cooper Institute for…
Descriptors: Physical Fitness, Physical Activity Level, Middle School Students, Grade 6
Grieser, Joshua D.; Gao, Yong; Ransdell, Lynda; Simonson, Shawn – Measurement in Physical Education and Exercise Science, 2012
The purpose of this study was to determine the intensity of Nintendo Wii Fit games using indirect calorimetry. Twenty-five college students completed Wii Fit activity sessions at two difficulty levels within aerobics, strength, and yoga categories. Resting metabolic rate and exercise oxygen uptake were measured, and metabolic equivalents were…
Descriptors: Video Games, Physical Activities, College Students, Metabolism
Duncan, Lindsay R.; Hall, Craig R.; Fraser, Shawn N.; Rodgers, Wendy M.; Wilson, Philip M.; Loitz, Christina C. – Measurement in Physical Education and Exercise Science, 2012
The authors examined the factor structure and psychometric properties of the Obligatory Exercise Questionnaire using exploratory factor analyses (Study 1), and confirmatory factor analyses (Study 2). The relationships between obligatory exercise and other psychological variables including: motivation, subjective well-being, physical self-concept,…
Descriptors: Factor Structure, Intention, Psychometrics, Exercise
Liu, Yuanlong; Paul, Stanley; Fu, Frank H. – Measurement in Physical Education and Exercise Science, 2012
The conductors of this study reviewed prediction research and studied the accomplishments and compromises in predicting world records and best performances in track and field and swimming. The results of the study showed that prediction research only promises to describe the historical trends in track and field and swimming performances, to study…
Descriptors: Classroom Techniques, Track and Field, Aquatic Sports, Prediction
Gao, Zan; Liu, Yuanlong; Lodewyk, Ken; Zhang, Tao; Kosma, Maria – Measurement in Physical Education and Exercise Science, 2011
The purpose of this study was to examine the reliability and validity of outcome likelihood, outcome value, and outcome expectancy using data collected from students in secondary school physical education classes. Dependent measures were examined for construct, concurrent, and predictive validity, as well as internal and temporal reliability. The…
Descriptors: Evidence, Physical Education, Student Attitudes, Predictive Validity
Schembre, Susan M.; Riebe, Deborah A. – Measurement in Physical Education and Exercise Science, 2011
Non-exercise equations developed from self-reported physical activity can estimate maximal oxygen uptake (VO[subscript 2]max) as well as sub-maximal exercise testing. The International Physical Activity Questionnaire is the most widely used and validated self-report measure of physical activity. This study aimed to develop and test a VO[subscript…
Descriptors: Physical Activities, Testing, Physical Fitness, Questionnaires
Sharma, Shreela V.; Chuang, Ru-Jye; Skala, Katherine; Atteberry, Heather – Measurement in Physical Education and Exercise Science, 2011
The purpose of this study is describe the initial feasibility, reliability, and validity of an instrument to measure physical activity in preschoolers using direct observation. The System for Observing Fitness Instruction Time for Preschoolers was developed and tested among 3- to 6-year-old children over fall 2008 for feasibility and reliability…
Descriptors: Physical Activities, Physical Activity Level, Physical Fitness, Construct Validity
Martin, Jeffrey J.; McCaughtry, Nate; Flory, Sara; Murphy, Anne; Wisdom, Kimberlydawn – Measurement in Physical Education and Exercise Science, 2011
The goal of the current study was to establish the factor validity of the Questionnaire Assessing School Physical Activity Environment (Robertson-Wilson, Levesque, & Holden, 2007) using confirmatory factor analysis procedures. Another goal was to establish internal reliability and test-retest reliability. The confirmatory factor analysis results…
Descriptors: Physical Activities, Test Validity, Questionnaires, Factor Analysis
Richert, Jana; Lippke, Sonia; Schwarzer, Ralf – Measurement in Physical Education and Exercise Science, 2010
Stage-matched interventions can only be more effective than "one-size-fits-all" interventions if they target participants' specific needs. Therefore, individuals must be allocated to a stage that truly reflects their mindsets. Various criteria for stage allocation exist. This study's objective was to demonstrate the impact of different…
Descriptors: Comparative Analysis, Intervention, Criteria, Classification
Arbour-Nicitopoulos, Kelly P.; Faulkner, Guy E.; Leatherdale, Scott T. – Measurement in Physical Education and Exercise Science, 2010
The objective of this study was to examine the pattern of relations between missing weight and height (BMI) data and a range of demographic, physical activity, sedentary behavior, and academic measures in a young sample of elementary school children. A secondary analysis of a large cross-sectional study, PLAY-On, was conducted using self-reported…
Descriptors: Elementary School Students, Ethnicity, Body Composition, Physical Activities
Rhodes, Ryan E.; Matheson, Deborah Hunt; Mark, Rachel – Measurement in Physical Education and Exercise Science, 2010
The purpose of this study was to compare the reliability, variability, and predictive validity of two common scaling response formats (semantic differential, Likert-type) and two numbers of response options (5-point, 7-point) in the physical activity domain. Constructs of the theory of planned behavior were chosen in this analysis based on its…
Descriptors: Likert Scales, Semantic Differential, Comparative Analysis, Reliability
Scruggs, Philip W.; Mungen, Jonathan D.; Oh, Yoonsin – Measurement in Physical Education and Exercise Science, 2010
The purpose of this study was to examine agreement between the Walk4Life DUO pedometer (W4L; Walk4Life, Plainfield, Illinois, USA) and two criterion instruments in the measurement of physical activity. Participants (N = 189, M = 16.74 years, SD = 0.99) in high school physical education concurrently wore the DUO (i.e., comparison instrument) and…
Descriptors: Measurement Equipment, Physical Activity Level, Physical Activities, High School Students
