Statistical Assumptions of Substantive Analyses Across the General Linear Model: A Mini-Review

作者：Kim Nimon · 发表于：Frontiers in Psychology · 年份：2012 · DOI：10.3389/fpsyg.2012.00322 · 被引用次数：241 · 研究领域：Psychometric Methodologies and Testing、Sensory Analysis and Statistical Methods、Mental Health Research Topics

The validity of inferences drawn from statistical test results depends on how well data meet associated assumptions. Yet, research (e.g., Hoekstra et al., 2012) indicates that such assumptions are rarely reported in literature and that some researchers might be unfamiliar with the techniques and remedies that are pertinent to the statistical tests they conduct. This article seeks to support researchers by concisely reviewing key statistical assumptions associated with substantive statistical tests across the general linear model. Additionally, the article reviews techniques to check for statistical assumptions and identifies remedies and problems if data do not meet the necessary assumptions.