Modification and initial testing of the Family Communication Questionnaire (FCQ) for Japanese child-rearing families in the period one month postpartum
Bibliographic record
Abstract
The aim of the present study was to develop and validate a modified version of the Family Communication Questionnaire (FCQ) for women in the period one month postpartum with a focus on communication with the woman’s partner, own mother, and friends. The FCQ can measure the frequency of communication between women and their partners, own mothers, and friends across four childcare-related domains by methods such as face-to-face interaction, telephone, e-mail, and social networking services. In the present study, a total of 500 mothers were recruited from a facility in the Kansai region of Japan from February to July 2017 to complete a survey including a modified version of the FCQ and the General Functioning Subscale of the Family Assessment Device (FAD-GF). Two weeks later, 49 of 100 mothers asked completed a test-retest. After excluding responses that were incomplete for > 10% of the items in each domain, 399 (79.8%) valid responses were included in the analysis. The distribution of scores showed a floor effect for all scores except for those with the husband. The intraclass correlation coefficients for couple (woman-her partner), woman-her own mother, and woman-her friends were 0.719-0.897, 0.871-0.987, and -0.088-0.452, respectively, and Cronbach’s α coefficients were 0.886, 0.897, and 0.897, respectively. The FCQ and FAD-GF total scores were negatively correlated. The modified FCQ developed in the present study shows good internal consistency, stability, and validity for communication between mothers, their husbands, and their own mothers during the period one month postpartum.
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".