Measuring Early Childhood Educators’ Physical Activity and Sedentary Behavior–Related Self-Efficacy: A Systematic Review of Tools
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Early childhood educators’ (ECEs) self-efficacy is often predictive of their ability and likelihood of promoting healthy activity behaviors in childcare settings. To date, ECEs’ physical activity and sedentary behavior–related self-efficacy has been measured in a variety of ways in childcare-based research, creating difficulty when comparing across studies. To identify the different approaches ECEs’ self-efficacy is assessed, the current study aimed to compare all existing tools that quantitatively measure physical activity and sedentary behavior–related self-efficacy of pre- and in-service ECEs. Seven online databases were searched for original, peer-reviewed, English-written journal articles. Articles were deemed eligible if they employed a tool which measured physical activity and/or sedentary behavior–related self-efficacy of pre- or in-service ECEs. A total of 16 studies were included in this review, and 13 unique tools were identified. All tools measured task self-efficacy ( n = 13), while only 1 tool measured barrier self-efficacy, and approximately half of the tools ( n = 7; 54%) reported on the validity and reliability. Great variability existed among the self-efficacy items included in the tools; however, common constructs included: teaching/leading physical activity, fundamental movement skill development, and physical activity programming. Very few tools mentioned sedentary behavior ( n = 2) and outdoor/risky play ( n = 2). Given the low number of studies that tested validity and reliability of their self-efficacy tools, the lack of consideration for barrier self-efficacy, and the paucity of tools that fully encompassed physical activity, sedentary behavior, and outdoor play considerations for ECEs, future research is needed to validate a new, reliable tool.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it