A Multilevel Analysis of the Contribution of Individual, Socioeconomic and Geographical Factors on Kindergarten Children’s Developmental Vulnerability: a Saskatchewan Province Wide Study

Soltanifar M, Pahwa P and Muhajarine N
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Soltanifar M: Biostatistics Division, University of Toronto, Canada
Pahwa P: Collaborative Program in Biostatistics, University of Saskatchewan, Canada
Muhajarine N: Collaborative Program in Biostatistics, University of Saskatchewan, Canada

Biostatistics and Biometrics Open Access Journal, 2017, vol. 3, issue 4, 101-114

Abstract: This study determines the strength of the effect and significance of different predictors of children’s developmental vulnerability and multiple challenges using multilevel modeling of nested data measured at levels of child, neighbourhood and regional geographies. Furthermore, delving into greater depth, this study identifies which factors are predictors at each level of the nested hierarchy, which factors present modified effects due to two or more predictors from cross-levels of the nested hierarchy, and the variations of effects across different levels of the hierarchy.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:3:y:2017:i:4:p:101-114

DOI: 10.19080/BBOAJ.2017.03.555618

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