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Chrismas, Bryna; Taylor, Lee; Smith, Alexander; Pemberton, Philip; Siegler, Jason Charles; Midgley, Adrian Wayne – Measurement in Physical Education and Exercise Science, 2018
To examine the reproducibility of three measurement techniques used to determine creatine kinase, interleukin-6 and high-sensitivity C-reactive protein, 50 participants had blood samples taken on two occasions. Fingertip plasma samples were analysed using the Reflotron for CK determination. Venous blood samples collected into serum separator tubes…
Descriptors: Measurement Techniques, Reliability, Biochemistry, Correlation
Bailey, Bruce W.; LeCheminant, Gabrielle; Hope, Timothy; Bell, Mathew; Tucker, Larry A. – Measurement in Physical Education and Exercise Science, 2018
The study compared the agreement, internal consistency, and measurement stability of the GE iDXA, BOD POD, and InBody 720. Body composition of 43 men and 37 women (31.4 ± 10.7 years; 90% Caucasian and 10% other) was assessed in triplicate using each method over two different days. Mean percent body fat (% BF) of the participants was different for…
Descriptors: Body Composition, Measurement Equipment, Reliability, Comparative Analysis
McCullough, Aston K.; Keller, Bryan S.; Qiu, Shumin; Garber, Carol Ewing – Measurement in Physical Education and Exercise Science, 2018
The purpose of this study was to estimate distances from accelerometer-derived Bluetooth signals as a measure of interpersonal spatial proximity. Accelerometer-derived proximity data were collected indoors and outdoors over a 10m range to calibrate simulation models. Proximity data were simulated over 20m (indoor) and 50m (outdoor) ranges.…
Descriptors: Measurement Equipment, Proximity, Simulation, Prediction
McKie, Greg L.; Islam, Hashim; Townsend, Logan K.; Howe, Greg J.; Hazell, Tom J. – Measurement in Physical Education and Exercise Science, 2018
This study examined the validity and reliability of a 30-second running sprint test using two non-motorized treadmills compared to the established Wingate Anaerobic Test. Twenty-four participants completed three sessions in a randomized order on a: (1) manual mode treadmill (Woodway); (2) specialized interval training treadmill (HiTrainer); and…
Descriptors: Exercise, Physical Activities, Correlation, Exercise Physiology
Montoye, Alexander H. K.; Conger, Scott A.; Connolly, Christopher P.; Imboden, Mary T.; Nelson, M. Benjamin; Bock, Josh M.; Kaminsky, Leonard A. – Measurement in Physical Education and Exercise Science, 2017
This study compared accuracy of energy expenditure (EE) prediction models from accelerometer data collected in structured and simulated free-living settings. Twenty-four adults (mean age 45.8 years, 50% female) performed two sessions of 11 to 21 activities, wearing four ActiGraph GT9X Link activity monitors (right hip, ankle, both wrists) and a…
Descriptors: Validity, Electronic Equipment, Prediction, Physical Activity Level
Murphy, Joseph J.; Murphy, Marie H.; MacDonncha, Ciaran; Murphy, Niamh; Nevill, Alan M.; Woods, Catherine B. – Measurement in Physical Education and Exercise Science, 2017
The purpose of this study was to compare the validity and reliability of three short physical activity self-report instruments to determine their potential for use with university student populations. The participants (N = 155; 44.5% male; 22.9 ± 5.13 years) wore an accelerometer for 9 consecutive days and completed a single-item measure, the a…
Descriptors: Physical Activities, Physical Activity Level, Validity, Reliability
Overstreet, Brittany Star; Crouter, Scott E.; Butler, George A.; Springer, Cary M.; Bassett, David R. – Measurement in Physical Education and Exercise Science, 2016
The purpose of this article was to examine the validity of self-reported pedometer steps/day. Forty-seven participants were provided a New Lifestyles NL-2000 (NL-2000; Lees Summit, MO, USA) pedometer and a physical activity (PA) diary for 3 weeks, but not informed of the data-storing capabilities. For weeks 2 and 3, each participant was given a…
Descriptors: Physical Education, Physical Activities, Physical Activity Level, Measurement Equipment
Liu, Xiaofeng Steven; Loudermilk, Brandon; Simpson, Thomas – Measurement in Physical Education and Exercise Science, 2014
Sample size can be chosen to achieve a specified width in a confidence interval. The probability of obtaining a narrow width given that the confidence interval includes the population parameter is defined as the power of the confidence interval, a concept unfamiliar to many practitioners. This article shows how to utilize the Statistical Analysis…
Descriptors: Sample Size, Statistical Analysis, Confidence Testing, Intervals
Sung, Hoyong; Collier, David N.; DuBose, Katrina D.; Kemble, C. David; Mahar, Matthew T. – Measurement in Physical Education and Exercise Science, 2018
To examine the reliability and validity of 1-mile walk tests for estimation of aerobic fitness (VO[subscript 2max]) in 10- to 13-year-old children and to cross-validate previously published equations. Participants (n = 61) walked 1-mile on two different days. Self-reported physical activity, demographic variables, and aerobic fitness were used in…
Descriptors: Test Construction, Physical Fitness, Test Validity, Test Reliability
Varela Mato, Veronica; Yates, Thomas; Stensel, David; Biddle, Stuart; Clemes, Stacy A. – Measurement in Physical Education and Exercise Science, 2017
This study explored the validity of ActiGraph-determined sedentary time (<50 cpm, <100 cpm, <150 cpm, <200 cpm, <250 cpm) compared with the activPAL in a free-living sample of bus drivers. Twenty-eight participants were recruited between November 2013 and February 2014. Participants wore an activPAL3 and ActiGraph GT3X+ concurrently…
Descriptors: At Risk Persons, Bus Transportation, Leisure Time, Daily Living Skills
Kim, Youngdeok; Barry, Vaughn W.; Kang, Minsoo – Measurement in Physical Education and Exercise Science, 2015
This study examined (a) the validity of two accelerometers (ActiGraph GT3X [ActiGraph LLC, Pensacola, FL, USA] and activPAL [PAL Technologies Ltd., Glasgow, Scotland]) for the assessment of sedentary behavior; and (b) the variations in assessment accuracy by setting minimum sedentary bout durations against a proxy for direct observation using an…
Descriptors: Measurement Equipment, Life Style, Health Behavior, Accuracy
Gråstén, Arto; Watt, Anthony – Measurement in Physical Education and Exercise Science, 2016
The current article provides an important insight into measurement differences between two commonly used self-reports and accelerometer-determined moderate to vigorous physical activity (MVPA) scores within matched samples across 1 school year. Participants were 998 fifth- through eighth-grade students who completed self-reports and 76 fifth- and…
Descriptors: Comparative Analysis, Physical Activities, Physical Activity Level, Questionnaires
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
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
Christie, A.; Kamen, G.; Boucher, Jean P.; Inglis, J. Greig; Gabriel, David A. – Measurement in Physical Education and Exercise Science, 2010
The Hoffmann reflex is obtained through surface electromyographic recordings, and it is one of the most common neurophysiological techniques in exercise science. Measurement and evaluation of the peak-to-peak amplitude of the Hoffmann reflex has been guided by the observation that it is a variable response that requires multiple trials to obtain a…
Descriptors: Motor Reactions, Measurement Techniques, Comparative Analysis, Statistical Analysis
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