Understanding Ethnic Differences in Student Success at Universities in New Zealand Using Linked Administrative Data
Notice bibliographique
Résumé
Using administrative data provided by a New Zealand university, Cao and Maloney (2018) examined the academic differences in first-year course completion and GPA achievement between the main ethnic minority groups (Māori, Pasifika and Asian) and European. The authors found that roughly a quarter of the Māori/Pasifika-European gaps in academic outcomes could be explained by observable factors that included personal characteristics, high school backgrounds and university enrolment patterns. The current thesis extends Cao and Maloney (2018) in two ways. First, it uses more data on personal, family and school backgrounds that stored in a large database, the IDI, which is maintained and operated by Statistics New Zealand. Second, this is national-level analysis on a broader range of university outcomes including participation, first- and second-year course completions, and, finally, qualification completion. The original study sample in this thesis is comprised of approximately 180,000 individuals who turned 15 years old in the years 2010 to 2012 and were enrolled in a school in New Zealand. These students are split into three age-15 cohorts. Second-year course analysis is restricted to the 2010 and 2011 cohorts, while degree completion analysis is further limited to the 2010 cohort. Based on ethnicity prioritisation, the population is ethnically broken down into 57.1% European, 21% Māori, 10.3% Asian, 9.1% Pasifika, 1.8% MELAA and 0.8% from other ethnicities. Probit with Maximum Likelihood, Fractional Probit and decomposition techniques are used to answer the research questions. Other personal characteristics, school characteristics, parent-related factors and university factors are included in our analysis. The regression results show clear patterns that are relatively in line with the literature. First, there are some sizeable overall differences between the ethnic minority and the European students. The most academically disadvantaged groups are Māori and Pasifika, who, when compared to European, are much less likely to undertake bachelor studies at university, complete their courses in the first and second years, or complete a degree qualification. Asian are initially more likely to participate in university relative to European, but to have lower levels of performance in the later stages of university studies. Our decomposition results indicate that giving Māori and Pasifika the same characterises as European could close most of these ethnic gaps in university participation, no more than half of the gaps in course completions and about one quarter of the gaps in degree completion.
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Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,015 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,006 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».