Development and Psychometric Properties of an Extended Theory of Planned Behavior Questionnaire for Childbearing Intentions and Behaviors in Iran
Bibliographic record
Abstract
BACKGROUND: Childbearing is the most important determinant of population fluctuations, and its study is more important than other population phenomena. Owing to the lack of a valid questionnaire based on the extended theory of planned behavior, this mixed-method study was conducted to determine the validity and reliability of a questionnaire designed to examine related belief-based factors on the intention to bear children in Iranian society. METHODS: This study was conducted in two phases in Hamadan city, western Iran, in 2021. Phase 1 consisted of an extensive literature review and a qualitative study using a directed content analysis approach to generate an item pool. Psychometrics were measured in phase 2, including content, face, and construct validity. Reliability was assessed based on internal consistency and stability. The collected data were analyzed using IBM SPSS and AMOS ver. 24.0. RESULTS: Mean content validity ratio and content validity index were 0.7 and 0.85, respectively. Exploratory factor analysis of the 32 items identified an eight-factor solution. These factors jointly accounted for 79.1% of the observed variance in the outcome variables. Confirmatory factor analysis indicated a good fit for the data. The internal consistency based on Cronbach's α was 0.85 (0.71-0.93). In addition, stability was confirmed using the test-retest method and intraclass correlation coefficient (0.74-0.94). CONCLUSION: The designed questionnaire is a valid and reliable instrument for evaluating related belief-based factors on the intention and behavior of childbearing among married men and women in Iran.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".