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变化分析:个体生长建模

Analysis of change: modeling individual growth.

作者信息

Francis D J, Fletcher J M, Stuebing K K, Davidson K C, Thompson N M

机构信息

Department of Psychology, University of Houston, Texas 77204-5341.

出版信息

J Consult Clin Psychol. 1991 Feb;59(1):27-37. doi: 10.1037//0022-006x.59.1.27.

DOI:10.1037//0022-006x.59.1.27
PMID:2002140
Abstract

Research on change is complicated by problems of measurement and analysis stemming from a conceptualization of change as a series of accumulating increments and decrements. In contrast, individual growth curves depict change as a continuous process underlying individual performance. These two perspectives are reviewed, and some problems with the use of difference scores in the study of change are clarified. Traditional methods are contrasted with growth curve analysis for the purposes of measuring change and studying its correlates. An illustrative example of the use of growth curves is provided from research on recovery of cognitive function following pediatric closed head injury.

摘要

由于将变化概念化为一系列累积的增量和减量所产生的测量和分析问题,有关变化的研究变得复杂。相比之下,个体生长曲线将变化描绘为个体表现背后的连续过程。本文回顾了这两种观点,并阐明了在变化研究中使用差异分数时存在的一些问题。为了测量变化并研究其相关因素,将传统方法与生长曲线分析进行了对比。本文从儿童闭合性颅脑损伤后认知功能恢复的研究中提供了一个使用生长曲线的示例。

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