Sustaining Engagement in Longitudinal Research With Vulnerable Families: A Mixed-Methods Study of Attrition
Bibliographic record
Abstract
The aim of this mixed-methods study was to investigate attrition at the age 10-year follow-up in a study of vulnerable children and their families living with low income following a two-generation preschool program in Calgary, Alberta, Canada. Quantitative factors associated with attrition included: (a) food bank use; (b) unstable housing; (c) child welfare involvement; (d) unpartnered status; and (e) caregiver noncompletion of high school. Qualitative themes related to attrition included: (a) income and employment; (b) health; (c) unstable housing; (d) change of guardianship; (e) domestic violence; (f) work and time management challenges; and (g) negative caregiver-child relationships. Triangulation of quantitative and qualitative results occurred using Maslow's Hierarchy of Needs; families with unmet physiological, safety, belongingness and love needs, and esteem needs were more likely to attrite. Attrition in longitudinal studies with vulnerable families is complex, affected by frequently changing life circumstances, and struggles to access necessities of life. Strategies for retaining vulnerable families in longitudinal research are offered.
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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 | 0.016 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".