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Record W1513152578

Family Background, Family Income, Cognitive Tests Scores, Behavioural Scales and their Relationship with Post-secondary Education Participation: Evidence from the NLSCY

2008· preprint· en· W1513152578 on OpenAlexaffabout
Pierre Lefèbvre, Philip Merrigan

Bibliographic record

VenueRePEc: Research Papers in Economics · 2008
Typepreprint
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsPsychologyCognitionGraduation (instrument)Developmental psychologyFamily incomeAttendanceAggression
DOInot available

Abstract

fetched live from OpenAlex

This paper exploits the panel feature of the Canadian National Longitudinal Survey of Children and Youth (NLSCY) and the large diversity of measures collected on the children and their families over 6 cycles (1994-1995 to 2004-2005) to explain high school graduation and postsecondary education (PSE) choices of Canadian youth aged 18 to 21 observed in the most recent wave of the survey. In estimating how family background, family income, cognitive abilities, non-cognitive abilities and behavioural scores influence schooling choices they can be used as markers for identifying children at risk of not pursuing PSE. We focus on the impact of measures that are specific to the NLSCY which contains a host of scores on several dimensions such as the cognitive achievement of children (reading and math test scores); behavioural scores that measure the levels of hyperactivity, aggression, and pro-sociality; scores that measure self-esteem and self-control (non-cognitive abilities); and, finally scores that measure the quality of parenting, family dysfunction, of neighbourhoods and schools quality. The math and reading scores are particularly interesting because they are computed from objective tests and are not based on any type of recall, as compared, for example, with the youth in Transition Survey (YITS) data set.\n\nDespite the fact that income, as measured as the mean income ($2002) of the family during cycles 1 to 4, does not seem to be a key player for PSE attendance or high school graduation, the sign of its effect is generally positive and non-linear, increases for children in very low income will have a larger effect that those with higher levels. More importantly, several variables that are characteristics of low-income families play a key role for schooling attainment. For example, being from a single-parent/guardian home with a poorly educated PMK and with less than (perceived) excellent/very good health or with high levels of hyperactivity for males for high levels of agression for young teenage females will almost negate any chance of attaining the level of PSE.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.147
GPT teacher head0.408
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2008
Admission routes2
Has abstractyes

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