Policy Frameworks and Parental Choice: Using Conjoint Analysis to Understand Parental Decision Making for Child Care
Bibliographic record
Abstract
Many children in Canada and the United States experience poor-quality child care on a regular basis. Under the rubric of “parent choice,” governments continue to permit a variety of licensed care providers (centers and homes) as well as unlicensed home child care providers. Research suggests, however, that parents are not well-informed consumers about child care services, unaware of even the basic characteristics of their child’s care. In this study, we provide findings from a latent profile analysis based on a conjoint survey conducted in Toronto, Canada to better understand the factors that influence parents’ decisions in selecting child care services. Based on responses from over 700 parents, we identify five classes of parents that reflect a range of preferences in selecting child care. However, most groups show a strong preference for licensed early childhood education and care (ECEC) options. Limitations of this study and implications for policy are discussed.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".