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50 Years of ERIC
50 Years of ERIC
The Education Resources Information Center (ERIC) is celebrating its 50th Birthday! First opened on May 15th, 1964 ERIC continues the long tradition of ongoing innovation and enhancement.

Learn more about the history of ERIC here. PDF icon

Showing 1 to 15 of 58 results
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Morris, Cody E.; Owens, Scott G.; Waddell, Dwight E.; Bass, Martha A.; Bentley, John P.; Loftin, Mark – Measurement in Physical Education and Exercise Science, 2014
An equation published by Loftin, Waddell, Robinson, and Owens (2010) was cross-validated using ten normal-weight walkers, ten overweight walkers, and ten distance runners. Energy expenditure was measured at preferred walking (normal-weight walker and overweight walkers) or running pace (distance runners) for 5 min and corrected to a mile. Energy…
Descriptors: Equations (Mathematics), Physical Activities, Prediction, Energy
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Erfle, Stephen E. – Measurement in Physical Education and Exercise Science, 2014
This article examines the proclivity and performance attributes of focal students across time and activities using data from 9,345 students. Three systematic focal behavior partitions are examined: Across activities, across time, and across activities and time. A student's performance is focal if it ends in 0 or 5 for push-ups and 0 for…
Descriptors: Behavior, Physical Activities, Time, Statistical Analysis
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Lamarche, Larkin; Gammage, Kimberley L.; Sullivan, Philip J.; Gabriel, David A. – Measurement in Physical Education and Exercise Science, 2013
This study examined the psychometric properties of the Self-Presentational Efficacy Scale (SPES) developed by Gammage, Hall, and Martin Ginis (2004). University students (196 men and 269 women) completed the SPES and measures of social physique anxiety, fear of negative evaluation, and physical activity. Participants also completed the SPES a…
Descriptors: Factor Analysis, Validity, Physical Activities, Measures (Individuals)
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Erfle, Stephen E.; Gelbaugh, Corey M. – Measurement in Physical Education and Exercise Science, 2013
Histograms of push-ups and curl-ups from a sample of more than 9,000 students show periodic spikes at five and 10 unit intervals. This article argues that these spikes are related to focal points, a game theoretic concept popularized by Nobel Laureate Thomas Schelling. Being focal on one test makes one more likely to be focal on the other. Focal…
Descriptors: Physical Activities, Middle School Students, Intervals, Performance
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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
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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
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Jimmy, Gerda; Dossegger, Alain; Seiler, Roland; Mader, Urs – Measurement in Physical Education and Exercise Science, 2012
The purpose of the current study was to determine metabolic thresholds and subsequent activity intensity cutoff points for the ActiGraph GT1M with various epochs spanning from 5 to 60 sec in young children. Twenty-two children, aged 4 to 9 years, performed 10 different activities including locomotion and play activities. Energy expenditure was…
Descriptors: Play, Young Children, Measurement, Activities
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Power, Allan; Faught, Brent E.; Przysucha, Eryk; McPherson, Moira; Montelpare, William – Measurement in Physical Education and Exercise Science, 2012
In this study the authors examine the test-retest reliability and concurrent validity of the Repeat Ice Skating Test (RIST). This was an on-ice field anaerobic test that measured average peak power and was validated with 3 anaerobic lab tests: (a) vertical jump, (b) the Margaria-Kalamen stair test, and (c) the Wingate Anaerobic Test. The…
Descriptors: Team Sports, Test Validity, Foreign Countries, Validity
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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
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Gunnell, Katie E.; Wilson, Philip M.; Zumbo, Bruno D.; Mack, Diane E.; Crocker, Peter R. E. – Measurement in Physical Education and Exercise Science, 2012
The researchers examined if scores from the original Psychological Need Satisfaction in Exercise Scale (Wilson, Rogers, Rodgers, & Wild, 2006) were invariant from a modified version specific to physical activity and then examined measurement invariance of scores across groups on the modified scale. Three groups were examined: (a) Students/staff…
Descriptors: Psychological Needs, Physical Activities, Structural Equation Models, Factor Structure
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Li, Li – Measurement in Physical Education and Exercise Science, 2012
Modern history has evidence that sport biomechanics provide valuable contribution in the pursuit of "faster, higher, and stronger." In this article, the contribution of sport biomechanics to the Olympic Games has been divided into three different categories: improve the physical capacity of the athletes, develop innovative techniques in a given…
Descriptors: Athletes, Biomechanics, Physical Activities, Measures (Individuals)
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Gao, Yong; Mack, Mick G.; Ragan, Moira A.; Ragan, Brian – Measurement in Physical Education and Exercise Science, 2012
In this study the authors used differential item functioning analysis to examine if there were items in the Mental, Emotional, and Bodily Toughness Inventory functioning differently across gender and athletic membership. A total of 444 male (56.3%) and female (43.7%) participants (30.9% athletes and 69.1% non-athletes) responded to the Mental,…
Descriptors: Test Bias, Physical Activities, Athletes, Measures (Individuals)
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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
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Wright, Paul M.; Craig, Mark W. – Measurement in Physical Education and Exercise Science, 2011
Numerous scholars have stressed the importance of personal and social responsibility in physical activity settings; however, there is a lack of instrumentation to study the implementation of responsibility-based teaching strategies. The development, content validity, and initial inter-rater reliability testing of the Tool for Assessing…
Descriptors: Physical Education, Physical Activities, Elementary Secondary Education, Social Behavior
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Lee, C. Matthew; Gorelick, Mark – Measurement in Physical Education and Exercise Science, 2011
The purpose of this study was to examine the validity of the Smarthealth watch (Salutron, Inc., Fremont, California, USA), a heart rate monitor that includes a wristwatch without an accompanying chest strap. Twenty-five individuals participated in 3-min periods of standing, 2.0 mph walking, 3.5 mph walking, 4.5 mph jogging, and 6.0 mph running.…
Descriptors: Metabolism, Intervals, Physical Activities, Validity
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