Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 3 |
Descriptor
Motor Development | 3 |
Psychomotor Skills | 3 |
Statistical Analysis | 3 |
Research Design | 2 |
Sample Size | 2 |
Adolescents | 1 |
Change | 1 |
Children | 1 |
Effect Size | 1 |
Exercise Physiology | 1 |
Females | 1 |
More ▼ |
Author
Carter, Michael J. | 2 |
McKay, Brad | 2 |
Bacelar, Mariane F. B. | 1 |
Brooks, Hugh | 1 |
Corson, Abbey | 1 |
Hubley, Julie | 1 |
Jeyarajan, Gianna | 1 |
Myers, Nicholas D. | 1 |
Pacewicz, Christine E. | 1 |
Tandon, Chitrini | 1 |
Vinh, Mary-Anne | 1 |
More ▼ |
Publication Type
Journal Articles | 3 |
Reports - Research | 3 |
Education Level
Audience
Location
Michigan | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
McKay, Brad; Bacelar, Mariane F. B.; Carter, Michael J. – Journal of Motor Learning and Development, 2023
Recent metascience suggests that motor behavior research may be underpowered, on average. Researchers can perform a priori power analyses to ensure adequately powered studies. However, there are common pitfalls that can result in underestimating the required sample size for a given design and effect size of interest. Critical evaluation of power…
Descriptors: Statistical Analysis, Psychomotor Skills, Motor Development, Research Design
McKay, Brad; Corson, Abbey; Vinh, Mary-Anne; Jeyarajan, Gianna; Tandon, Chitrini; Brooks, Hugh; Hubley, Julie; Carter, Michael J. – Journal of Motor Learning and Development, 2023
A priori power analyses can ensure studies are unlikely to miss interesting effects. Recent metascience has suggested that kinesiology research may be underpowered and selectively reported. Here, we examined whether power analyses are being used to ensure informative studies in motor behavior. We reviewed every article published in three motor…
Descriptors: Incidence, Statistical Analysis, Psychomotor Skills, Motor Development
Pacewicz, Christine E.; Myers, Nicholas D. – Measurement in Physical Education and Exercise Science, 2021
Longitudinal measurement enables the examination of behavioral or psychological change. One approach to examining longitudinal measurements is the use of latent growth curve modeling (LGCM). This approach affords the assessment of inter- and intraindividual change. Yet, this approach likely is underused in exercise science. The purpose of the…
Descriptors: Exercise Physiology, Longitudinal Studies, Statistical Analysis, Change