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Gepubliceerd in:

10-07-2020 | Original Paper

Adolescent Family Experiences Predict Young Adult Educational Attainment: A Data-Based Cross-Study Synthesis With Machine Learning

Auteurs: Xiaoran Sun, Nilam Ram, Susan M. McHale

Gepubliceerd in: Journal of Child and Family Studies | Uitgave 10/2020

Abstract

Grounded in theory and research on the role of adolescent family experiences in young adult educational attainment, this study took the novel step of synthesizing results from prior studies and using a machine learning (ML) approach to address three questions: (1) By incorporating adolescent family experience factors examined across prior studies in a single analysis, how accurately can we predict young adult educational attainment? (2) Which family experience factors are the best predictors of young adult educational attainment? (3) What complex patterns among family experience predictors merit further examination? Based on a review of 101 publications that used National Longitudinal Study of Adolescent Health data to investigate links between adolescent family experiences and young adult attainment, we identified 53 family experience independent variables. We used an ML-based approach to train and test models with these 53 Wave I family variables (adolescent in Grade 7–12) as predictors of both college enrollment (N = 4598) and graduation (N = 4180) at Wave IV (young adult mean age = 28.88, SD = 1.76). Our models (1) obtained prediction accuracies of 73.43% and 72.33% for college enrollment, and 79.10% and 79.07% for college graduation, (2) identified the best predictors of college enrollment and graduation, including family socioeconomic characteristics and parent educational expectations, and (3) highlight nonlinear patterns for further examination. This study advanced understanding of how adolescent family experiences may influence educational attainment and provided a paradigm for developmental research to synthesize existing findings into novel discoveries with large-scale datasets.

vorige artikel The Moral Emotions of Guilt and Shame in Children: Relationship with Parenting and Temperament

volgende artikel Child Hostility toward a Parent with a History of Depression and Family Functioning

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Titel: Adolescent Family Experiences Predict Young Adult Educational Attainment: A Data-Based Cross-Study Synthesis With Machine Learning
Auteurs: Xiaoran Sun
Nilam Ram
Susan M. McHale
Publicatiedatum: 10-07-2020
Uitgeverij: Springer US
Gepubliceerd in: Journal of Child and Family Studies / Uitgave 10/2020
Print ISSN: 1062-1024
Elektronisch ISSN: 1573-2843
DOI: https://doi.org/10.1007/s10826-020-01775-5

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