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Direct linkBödeker, Malte; Bucksch, Jens; Wallmann-Sperlich, Birgit – Measurement in Physical Education and Exercise Science, 2018
The Neighborhood Physical Activity Questionnaire allows to assess physical activity within and outside the neighborhood. Study objectives were to examine the criterion-related validity and health/functioning associations of Neighborhood Physical Activity Questionnaire-derived physical activity in German older adults. A total of 107 adults aged…
Descriptors: Older Adults, Physical Activities, Neighborhoods, Correlation
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
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
Fröberg, Andreas; Berg, Christina; Larsson, Christel; Boldemann, Cecilia; Raustorp, Anders – Measurement in Physical Education and Exercise Science, 2017
The purpose of the current study was to investigate how combinations of different epoch durations and cut-points affect the estimations of sedentary time and physical activity in adolescents. Accelerometer data from 101 adolescents were derived and 30 combinations were used to estimate sedentary time, light, moderate, vigorous, and combined…
Descriptors: Physical Activity Level, Life Style, Measurement Equipment, Foreign Countries
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
Kringen, Nina L.; Healy, Genevieve N.; Winkler, Elisabeth A. H.; Clark, Bronwyn K. – Measurement in Physical Education and Exercise Science, 2016
This study examined the accuracy of self-attachment of the activPAL activity monitor. A convenience sample of 50 participants self-attached the monitor after being presented with written material only (WMO) and then written and video (WV) instructions; and completed a questionnaire regarding the acceptability of the instructional methods.…
Descriptors: Measurement Equipment, Physical Activity Level, Accuracy, Questionnaires
Chen, Han; Dai, Jun; Liu, Jiling – Measurement in Physical Education and Exercise Science, 2018
The study aims to examine psychometric property, measurement invariance, and latent mean difference of a Chinese version instrument of the Behavioral Regulation in Exercise Questionnaire-2 (C-BREQ-2), which originally includes five constructs. The study also examined the relationship between C-BREQ-2and participants' weekly moderate to vigorous…
Descriptors: Psychometrics, Chinese, Questionnaires, Correlation
Meir, Gily; Hutchinson, Jasmin C.; Habeeb, Christine M.; Boiangin, Nataniel M.; Shaffer, Cory; Basevitch, Itay; Tenenbaum, Gershon – Measurement in Physical Education and Exercise Science, 2015
Two studies examined the trustworthiness of commonly used measurement scales for ratings of perceived exertion (RPE) and state attentional focus (SAF) during exercise. In Study 1, participants (N = 24, 14 female) performed a treadmill graded-exercise test. The order of scale presentation during the task was manipulated (i.e., RPE followed by SAF…
Descriptors: Attention, Physical Activity Level, Exercise, Measurement
Carson, Valerie; Hesketh, Kylie D.; Rhodes, Ryan E.; Rinaldi, Christina; Rodgers, Wendy; Spence, John C. – Measurement in Physical Education and Exercise Science, 2017
This study examined the psychometric properties of a questionnaire developed with the guidance of the socialization model of child behaviour to understand modifiable correlates of toddlers' physical activity and sedentary behaviour. Findings are based on 118 parents (33.7 ± 4.9 years; 86% female) of toddlers (19.3 ± 2.7 months; 48% female) from…
Descriptors: Questionnaires, Psychometrics, Correlation, Physical Activity Level
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
Weaver, R. Glenn; Webster, Collin A.; Erwin, Heather; Beighle, Aaron; Beets, Michael W.; Choukroun, Hadrien; Kaysing, Nicole – Measurement in Physical Education and Exercise Science, 2016
The System for Observing Fitness Instruction Time (SOFIT) is commonly used to measure variables related to physical activity during physical education (PE). However, SOFIT does not yield detailed information about teacher practices related to children's moderate-to-vigorous physical activity (MVPA). This study describes the modification of SOFIT…
Descriptors: Physical Education, Observation, Physical Activity Level, Teaching Methods
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
Lyyra, Nelli; Leskinen, Esko; Heikinaro-Johansson, Pilvikki – Measurement in Physical Education and Exercise Science, 2015
This study aimed to examine the validity and reliability of an instrument designed to measure student perceptions of curricular goals in physical education, the Curricular Goals in Physical Education Questionnaire. Participants were 879 Finnish students from grades 7 to 9 (412 girls, 467 boys; mean age 13.81). An exploratory factor analysis was…
Descriptors: Questionnaires, Test Validity, Test Reliability, Physical Education
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