Publication Date
In 2025 | 4 |
Since 2024 | 5 |
Since 2021 (last 5 years) | 7 |
Since 2016 (last 10 years) | 16 |
Since 2006 (last 20 years) | 30 |
Descriptor
Physical Activities | 32 |
Exercise | 22 |
Exercise Physiology | 14 |
Measures (Individuals) | 11 |
Correlation | 9 |
Foreign Countries | 9 |
Statistical Analysis | 9 |
Metabolism | 8 |
Physical Fitness | 8 |
Body Composition | 7 |
Comparative Analysis | 7 |
More ▼ |
Source
Measurement in Physical… | 32 |
Author
George, James D. | 3 |
Vehrs, Pat R. | 3 |
Driller, Matthew | 2 |
Wilson, Philip M. | 2 |
Alan Meca | 1 |
Alan R. Barker | 1 |
Ana Carolina Raabe Abitante | 1 |
Barton, Mitch | 1 |
Bass, Martha A. | 1 |
Bentley, John P. | 1 |
Berry, Tanya | 1 |
More ▼ |
Publication Type
Journal Articles | 32 |
Reports - Research | 25 |
Reports - Evaluative | 7 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 5 |
Elementary Education | 2 |
Postsecondary Education | 2 |
Grade 1 | 1 |
Grade 2 | 1 |
Grade 6 | 1 |
Intermediate Grades | 1 |
Middle Schools | 1 |
Audience
Location
Canada | 3 |
Australia | 2 |
Asia | 1 |
Brazil | 1 |
Europe | 1 |
Greece | 1 |
Illinois | 1 |
Iowa | 1 |
Mississippi | 1 |
New Zealand | 1 |
South America | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Matthew T. Mahar; Hoyong Sung – Measurement in Physical Education and Exercise Science, 2025
Field-based tests of aerobic fitness that can be administered quickly and do not require maximal effort are desirable. The purpose was to develop and validate quarter-mile walk tests for 10--13-year-olds. Participants (N = 59) walked one mile on two different days. Walk times, heart rates, body mass, physical activity, and aerobic fitness were…
Descriptors: Physical Fitness, Test Construction, Exercise, Early Adolescents
Gabriel Felipe Arantes Bertochi; Jeffer Eidi Sasaki – Measurement in Physical Education and Exercise Science, 2025
This study compared the weekly training load (TL) variation across different measures. Fifty-two runners reported their heart rate and distance ran for each training session during four weeks of training. Heart rate measures were used to calculate the weekly TRaining IMPulse (W-TRIMP), whereas the distance ran was used to calculate the weekly…
Descriptors: Physical Education, Physical Activities, Athletics, Athletes
Mayara S. Bianchim; Melitta A. McNarry; Alan R. Barker; Craig A. Williams; Sarah Denford; Lena Thia; Rachel Evans; Kelly A. Mackintosh – Measurement in Physical Education and Exercise Science, 2024
This study aimed to develop and validate machine learning models to predict intensities in children and adolescents with cystic fibrosis (CF) across different accelerometry brands and placements. Thirty-five children and adolescents with CF (11.6 ± 2.8 yrs; 15 girls) and 28 healthy youth (12.2 ± 2.7 yrs; 16 girls) performed six activities whilst…
Descriptors: Models, Prediction, Children, Adolescents
Denver M. Y. Brown; Alan Meca – Measurement in Physical Education and Exercise Science, 2025
This study investigated whether exercise and physical activity identity are conceptually distinct factors. Undergraduate students (N = 647; M[subscript age] = 19.54 ± 1.86 years; 61% female) completed an online survey including the Exercise Identity Scale and a modified physical activity version. Confirmatory factor analysis largely supported a…
Descriptors: Psychometrics, Exercise, Self Concept, Measures (Individuals)
Marcela Alves Sanseverino; Ana Carolina Raabe Abitante; Monique Cristielle Silva da Silva; Liza S. Rovniak; Wagner de Lara Machado – Measurement in Physical Education and Exercise Science, 2025
As part of a validation study of the Exercise Planning and Scheduling (EPS), and Goal-Setting (EGS) Scales, which were translated from English to Brazilian Portuguese, we aim to: present evidence of reliability and validity for the translated scale; and, explore the effects of non-labeled response categories of rating scales. The sample comprised…
Descriptors: Rating Scales, Self Management, Exercise, Test Validity
Lee, Joey A.; Velthoff, Jessica; Welk, Greg J. – Measurement in Physical Education and Exercise Science, 2022
The study examined the sensitivity to change of field assessments of handgrip strength and vertical jump following programmatic interventions in physical education settings. Using a naturalistic experimental design, classes of 6th grade students (N = 158) were randomized to receive either an 8-week musculoskeletal strength or plyometric power…
Descriptors: Physical Activities, Physical Education, Muscular Strength, Physical Fitness
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
Matthews, Evan L.; Horvat, Fiona M.; Phillips, David A. – Measurement in Physical Education and Exercise Science, 2022
The YMCA step test uses a prescribed step height which is difficult in a telehealth setting. Examine a modification of the YMCA step test allowing for the use of preexisting in-home objects of variable height as the "step" in a virtual environment. Young healthy participants (n = 40) performed step tests with a small and large object of…
Descriptors: Physical Fitness, Metabolism, Tests, Measurement
Howe, Christopher C. F.; Moir, Hannah J.; Easton, Chris – Measurement in Physical Education and Exercise Science, 2017
This study establishes tri-axial activity count (AC) cut-points for the GT3X+ accelerometer to classify physical activity intensity in overweight and obese adults. Further, we examined the accuracy of established and novel energy expenditure (EE) prediction equations based on AC and other metrics. "Part 1": Twenty overweight or obese…
Descriptors: Obesity, Adults, Exercise Physiology, Exercise
Nelson, Megan C.; Taylor, Katie; Vella, Chantal A. – Measurement in Physical Education and Exercise Science, 2019
The aim of this study was to investigate differences between estimates of sedentary behavior and physical activity (PA) from the International Physical Activity Questionnaire (IPAQ) and accelerometry in undergraduate students. 91 students participated in the study. Sedentary behavior and PA were objectively measured by an accelerometer for 7 days…
Descriptors: Body Composition, Correlation, Exercise, Physical Activities
Myers, Nicholas D.; Lee, Seungmin; Kostelis, Kimberly T. – Measurement in Physical Education and Exercise Science, 2018
The purpose of this annual report is to provide a summary of measurement in physical education and exercise science-related activities in 2017. A recent trend for an annual increase in manuscript submissions to measurement in physical education and exercise science continued in 2017. Twenty-nine countries were represented (i.e., corresponding…
Descriptors: Physical Education, Exercise, Measurement Techniques, Foreign Countries
Driller, Matthew; Brophy-Williams, Ned; Walker, Anthony – Measurement in Physical Education and Exercise Science, 2017
The purpose of the present study was to determine the reliability of a 5km run test on a motorized treadmill. Over three consecutive weeks, 12 well-trained runners completed three 5km time trials on a treadmill following a standardized warm-up. Runners were partially-blinded to their running speed and distance covered. Total time to complete the…
Descriptors: Athletics, Physical Activities, Athletes, Test Reliability
Yeatts, Paul E.; Barton, Mitch; Henson, Robin K.; Martin, Scott B. – Measurement in Physical Education and Exercise Science, 2017
A common practice in general linear model (GLM) analyses is to interpret regression coefficients (e.g., standardized ß weights) as indicators of variable importance. However, focusing solely on standardized beta weights may provide limited or erroneous information. For example, ß weights become increasingly unreliable when predictor variables are…
Descriptors: Predictor Variables, Correlation, Multiple Regression Analysis, Physical Fitness
Montoye, Alexander H. K.; Mitrzyk, Joe R.; Molesky, Monroe J. – Measurement in Physical Education and Exercise Science, 2017
The purpose of the current study was to determine the accuracy of the Fitbit Charge HR and Hexoskin smart shirt. Participants (n = 32, age: 23.5 ± 1.3 years) wore a Fitbit and Hexoskin while performing 14 activities in a laboratory and on a track (lying, sitting, standing, walking various speeds and inclines, jogging, and cycling). Steps, kcals,…
Descriptors: Measurement Equipment, Physical Activity Level, Measures (Individuals), Exercise Physiology
O'Donnell, Shannon; Tavares, Francisco; McMaster, Daniel; Chambers, Samuel; Driller, Matthew – Measurement in Physical Education and Exercise Science, 2018
The current study aimed to assess the validity and test-retest reliability of a linear position transducer when compared to a force plate through a counter-movement jump in female participants. Twenty-seven female recreational athletes (19 ± 2 years) performed three counter-movement jumps simultaneously using the linear position transducer and…
Descriptors: Test Validity, Test Reliability, Females, Athletes