Preadmission schooling context helps to predict examination performance throughout medical school
| Autor: | Neil Stringer, Michael Chan, Philip Wing Keung Chan, Yaw Bimpeh |
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| Rok vydání: | 2016 |
| Předmět: |
Male
Predictive validity Students Medical education Context (language use) Standardized test Structural equation modeling Education 03 medical and health sciences 0302 clinical medicine Mathematics education Humans Medicine 030212 general & internal medicine Socioeconomic status Schools Medical business.industry 05 social sciences 050301 education Regression analysis General Medicine Achievement Educational attainment Socioeconomic Factors Cohort Female Educational Measurement business 0503 education Demography |
| Zdroj: | Europe PubMed Central |
| ISSN: | 1573-1677 1382-4996 |
| Popis: | This study investigates the effects of socioeconomic status and schooling on the academic attainment of a cohort of students at a single medical school (N = 240). Partial least squares structural equation modelling was used to explore how students' summative assessment scores over 4 years of medical school were affected by: attainment in secondary school examinations (GCSEs and A-levels); the Income Deprivation Affecting Children Index (IDACI) rank associated with students' home postcodes; the performance of students' A-level institutions, measured as the percentage of A-level students achieving 3 A-levels at AAB or higher in two or more facilitating subjects. The effects were consistent across time; the final linear regression model used students' cumulative scores (the basis of the medical school's UK Foundation Programme submission) as the dependent variable. The final model fit was quite poor (R(2) = .184, n = 178). IDACI Rank was non-significant and excluded from the final model. Both GCSE (.340, p |
| Databáze: | OpenAIRE |
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