Big Things Have Small Beginnings: An Assortment of “Minor” Methodological Misunderstandings
讨论了显著性检验、元分析、多元回归、因子分析、结构方程建模、效度和异常值等常见方法论问题，帮助研究者避免误解。
Most statistical/methodological topics seem to have certain components that are poorly understood by many researchers. The purpose of this paper was to discuss some of the problem areas in significance testing, meta-analysis, multiple regression, factor analysis, structural equations modeling, validity, and outliers. These topics were chosen because they have generated a variety of problems for researchers, and because these problems have come to my attention through reviews of journal submissions, discussions with colleagues, and my own reading of the published literature.