Statistical Methods for Risk-Outcome Research: Being Sensitive to Longitudinal Structure

被引:34
作者
Cole, David A. [1 ]
Maxwell, Scott E. [2 ]
机构
[1] Vanderbilt Univ, Dept Psychol & Human Dev, Nashville, TN 37203 USA
[2] Univ Notre Dame, Dept Psychol, Notre Dame, IN 46556 USA
关键词
risk; outcome; longitudinal; trajectory; statistics; STATE-OCCASION MODEL; DEPRESSION; CHILD;
D O I
10.1146/annurev-clinpsy-060508-130357
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
The relation between risk and outcome consists of myriad, complex, longitudinal processes. To study these relations requires research designs and statistical methods that are sensitive to the longitudinal structure of the risk, the outcome, and the risk-outcome relation. This review presents four longitudinal characteristics that can complicate psychopathology risk-outcome research. We represent each complication with an example data set. We demonstrate how conventional statistical approaches can yield highly misleading results. Finally, we review alternative statistical approaches that can handle these complications quite well.
引用
收藏
页码:71 / 96
页数:26
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