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Direct linkSchmidt, Michael D.; Rathbun, Stephen L.; Chu, Zhixuan; Boudreaux, Benjamin D.; Hahn, Lindsay; Novotny, Eric; Johnsen, Kyle; Ahn, Sun Joo – Measurement in Physical Education and Exercise Science, 2023
Physical activity (PA) estimates from the Fitbit Flex 2 were compared to those from the ActiGraph GT9X Link in 123 elementary school children. Steps and intensity-specific estimates of PA and 3-month PA change were calculated using two different ActiGraph cut-points (Evenson and Romanzini). Fitbit estimates were 35% higher for steps compared to…
Descriptors: Measurement Equipment, Physical Activity Level, Elementary School Students, After School Programs
Clevenger, Kimberly A.; Molesky, Monroe J.; Vusich, John; Montoye, Alexander H. K. – Measurement in Physical Education and Exercise Science, 2019
Despite proprietary algorithms to account for differences, output from activity trackers worn on different wrists may not be comparable because individuals vary in their reliance on each hand during free-living activities. Participants (n = 48) wore Fitbit Flex or Flex2 monitors on each wrist for three days. T tests, equivalence tests, and…
Descriptors: Measurement Equipment, Handedness, Physical Activity Level, Sleep
Sacko, Ryan S.; Brazendale, Keith; Brian, Ali; McIver, Kerry; Nesbitt, Danielle; Pfeifer, Craig; Stodden, David F. – Measurement in Physical Education and Exercise Science, 2019
This study compared the energy expenditure (EE) levels during object projection skill performance (OPSP) as assessed by indirect calorimetry and accelerometry. Thirty-four adults (female n = 18) aged 18-30 (23.5 ± 2.5 years) performed three, 9-min sessions of kicking, over-arm throwing, and striking performed at 6-, 12-, and 30-sec intervals. EE…
Descriptors: Young Adults, Physical Activities, Measurement Techniques, Physical Activity Level
Dlugonski, Deirdre; Wood, Aaron P.; DuBose, Katrina D.; Rider, Patrick; Schoemann, Alexander M. – Measurement in Physical Education and Exercise Science, 2019
Introduction: This study examined the concurrent validity and inter-pair reliability of the proximity detection function on Bluetooth-enabled accelerometers across manufacturer-specified ranges. If valid, this method could be used for objectively measuring shared physical activity participation. Method: Thirty-six dyads aged 21.6 (2.1) years wore…
Descriptors: Validity, Reliability, Measurement, Electronic Equipment
Clevenger, Kimberly A.; Moore, Rebecca W.; Suton, Darijan; Montoye, Alexander H.K.; Trost, Stewart G.; Pfeiffer, Karin A. – Measurement in Physical Education and Exercise Science, 2018
This study examined if accelerometer-based assessments of physical activity were responsive to changes in physical activity level commensurate with performing structured versus unstructured activity in youth. Youth (6-16 years; N = 206) participated in a simulated after-school program that included structured and unstructured games on four…
Descriptors: Physical Activities, Physical Activity Level, Children, Adolescents
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
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
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
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
Kang, Minsoo; Zhu, Weimo; Tudor-Locke, Catrine; Ainsworth, Barbara – Measurement in Physical Education and Exercise Science, 2005
Missing values are a common phenomenon in physical activity research, which has a negative impact on the quality of the data collected. The purpose of this study was to determine empirically the effectiveness of an individual information-centered (II-centered) approach in recovering step-count missing values by comparing the performance of the…
Descriptors: Physical Activity Level, Data, Measurement Techniques, Comparative Analysis
Masse, Louise C.; Eason, Karen E.; Tortolero, Susan R.; Kelder, Steven H. – Measurement in Physical Education and Exercise Science, 2005
This study assessed agreement between participants' rating (PMET) and compendium coding (CMET) of estimating physical activity intensity in a population of older minority women. As part of the Women on the Move study, 224 women completed a 7-day activity diary and wore an accelerometer for 7 days. All activities recorded were coded using PMET and…
Descriptors: Physical Activity Level, Comparative Analysis, Computation, Older Adults
Hands, Beth; Parker, Helen; Larkin, Dawne – Measurement in Physical Education and Exercise Science, 2006
Many behavior patterns that impact on physical activity experiences are established in early childhood, therefore it is important that valid, reliable, and feasible measures are constructed to identify children who are not developing appropriate and healthy activity habits. In this study, measures of physical activity derived by accelerometry and…
Descriptors: Behavior Patterns, Play, Physical Activities, Observation
