A multilevel analysis of whole family functioning using the McMaster Family Assessment Device.
Bibliographic record
Abstract
This study demonstrates the use of multilevel modeling to examine influences on ratings of whole family functioning collected from multiple family members (N=26,614) living in 11,023 families with 1 or more dependent children aged 0 to 24 years. Results indicate that 45.7% of the variance in ratings of whole family functioning was shared among family members, whereas 54.3% was nonshared. Family-level characteristics, such as socioeconomic status (SES), family structure and composition, and family well-being, accounted for 30.6% of between-family variation (i.e., shared perceptions). Individual-level characteristics, such as sex, age, dependent child status, education, and well-being, accounted for 5.6% of within-family variance (i.e., unique perceptions). There was significant between-family variation in the relationship between dependent child status and ratings of family functioning, and increased rating discrepancies among members of the same family were linked with higher levels of family SES. The findings attest to the validity of measuring whole family functioning directly from self-report ratings provided from multiple family members. However, caution is warranted when assessments are available only from single respondents.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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 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".