Grice James W
Department of Psychology, Oklahoma State University , Stillwater, OK, USA.
Front Psychol. 2015 Jul 24;6:1007. doi: 10.3389/fpsyg.2015.01007. eCollection 2015.
A novel approach for conceptualizing and analyzing data from psychological studies is presented and discussed. This approach is centered on model building in an effort to explicate the structures and processes believed to generate a set of observations. These models therefore go beyond the variable-based, path models in use today which are limiting with regard to the types of inferences psychologists can draw from their research. In terms of analysis, the newer approach replaces traditional aggregate statistics such as means, variances, and covariances with methods of pattern detection and analysis. While these methods are person-centered and do not require parametric assumptions, they are both demanding and rigorous. They also provide psychologists with the information needed to draw the primary inference they often wish to make from their research; namely, the inference to best explanation.
本文提出并讨论了一种用于概念化和分析心理学研究数据的新方法。这种方法以模型构建为核心，旨在阐释那些被认为会产生一组观测结果的结构和过程。因此，这些模型超越了当今使用的基于变量的路径模型，后者在心理学家能够从其研究中得出的推论类型方面存在局限性。在分析方面，新方法用模式检测和分析方法取代了传统的汇总统计量，如均值、方差和协方差。虽然这些方法以个体为中心，且不需要参数假设，但它们既要求严格又严谨。它们还为心理学家提供了从研究中得出他们通常希望做出的主要推论所需的信息；即对最佳解释的推论。
