Turkish Adaptation of Preschool Children’s Science Motivation Scale: A Validity and Reliability Study
Bibliographic record
Abstract
The aim of the study is to adapt Preschool Children’s Science Motivation Scale (PCSMS) developed by Oppermann et al. into Turkish and conduct the validity and reliability analyses. This scale is considered important in terms of evaluating the science motivation of preschool children through the science concepts they are familiar with, based on their daily life experiences. The research data were obtained from 303 children attending preschool education in central districts of Adana. The findings of exploratory factor analysis, a two-factor structure named self-confidence and enjoyment consist of 28 items was determined in accordance with the original structure of the scale. Confirmatory factor analysis showed that this two-factor structure showed good fit. Subsequently, the study proceeded to reliability analyses and Cronbach’s α and Composite Reliability values were calculated. In consequence of the study, it was seen that the original form of the scale and the goodness of fit and internal consistency values obtained within the scope of the adaptation form coincided. The findings of the study indicate that the Turkish version of the PCSMS is valid and reliable for Turkish preschoolers.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".