Publication Date
| In 2025 | 0 |
| Since 2024 | 1 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 3 |
| Since 2006 (last 20 years) | 3 |
Descriptor
| Screening Tests | 3 |
| Test Validity | 3 |
| Risk Assessment | 2 |
| Athletes | 1 |
| Children | 1 |
| Comparative Analysis | 1 |
| Content Validity | 1 |
| Delphi Technique | 1 |
| Evaluation Criteria | 1 |
| Evaluation Methods | 1 |
| Expertise | 1 |
| More ▼ | |
Source
| Measurement in Physical… | 3 |
Author
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
Education Level
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkJohn A. Jimenez-Garcia; Chanelle Montpetit; Richard DeMont – Measurement in Physical Education and Exercise Science, 2024
The Child Focused Injury Risk Screening Tool (ChildFIRST) aims to measure movement competence and lower-limb-injury risk in 8-12-year-old children. Although the ChildFIRST has face and content validity evidence, stronger validity evidence is warranted. We tested the concurrent validity of the ChildFIRST using motion analysis, and the convergent…
Descriptors: Preadolescents, Kinesiology, Risk Assessment, Human Body
Jimenez-Garcia, John Alexander; Hong, Chang Ki; Miller, Matthew B.; DeMont, Richard – Measurement in Physical Education and Exercise Science, 2020
The purpose of this Delphi-study was to establish the face and content validity of 10 movement skills, each with four evaluation criteria, to create the Children Focused Injury Risk Screening Tool (ChildFIRST) for 8-12-year-old children. We asked an international expert panel (n = 22) to validate a series of movement skills and evaluation…
Descriptors: Screening Tests, Risk Assessment, Injuries, Children
Kelleher, Leila K.; Beach, Tyson A. C.; Frost, David M.; Johnson, Andrew M.; Dickey, James P. – Measurement in Physical Education and Exercise Science, 2018
The scoring scheme for the functional movement screen implicitly assumes that the factor structure is consistent, stable, and congruent across different populations. To determine if this is the case, we compared principal components analyses of three samples: a healthy, general population (n = 100), a group of varsity athletes (n = 101), and a…
Descriptors: Factor Structure, Test Reliability, Screening Tests, Motion
