文章基本信息

标题：Using Multinomial Logistic Models To Predict Adolescent Behavioral Risk
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作者：Peng, Chao-Ying Joanne ; Nichols, Rebecca Naegle
期刊名称：Journal of Modern Applied Statistical Methods
出版年度：2003
卷号：2
期号：1
页码：16
出版社：Wayne State University
摘要：Multinomial logistic regression was applied to data comprising 432 adolescents’ self reports of engagement in risky behaviors. Results showed that gender, intention to drop from the school, family structure, self-esteem, and emotional risk were effective predictors collectively. Three methodological issues were highlighted: (1) the use of odds ratio, (2) the absence of an extension of the Hosmer and Lemeshow test for multinomial logistic models, and (3) the missing data problem. Psychologists and educators can utilize findings to plan prevention programs, as well as to apply the versatile and effective logistic technique in psychological, educational, and health research concerning adolescents.
关键词：Adolescent behavior; self-esteem; behavioral risk; emotional risk; family structure; multinominal logistic model; logistic modeling