A Simple and Transparent Alternative to Repeated Measures ANOVA:

SAGE Open

James W. Grice¹ 

关键词: Observation Oriented Modeling;    Ordinal Pattern Analysis;    individual analysis;    repeated measures ANOVA;    honeybee;   

DOI  :  10.1177/2158244015604192

学科分类：社会科学、人文和艺术（综合）

来源: Sage Journals

【 摘 要 】

Observation Oriented Modeling is a novel approach toward conceptualizing and analyzing data. Compared with traditional parametric statistics, Observation Oriented Modeling is more intuitive, relatively free of assumptions, and encourages researchers to stay close to their data. Rather than estimating abstract population parameters, the overarching goal of the analysis is to identify and explain distinct patterns within the observations. Selected data from a recent study by Craig et al. were analyzed using Observation Oriented Modeling; this analysis was contrasted with a traditional repeated measures ANOVA assessment. Various pitfalls in traditional parametric analyses were avoided when using Observation Oriented Modeling, including the presence of outliers and missing data. The differences between Observation Oriented Modeling and various parametric and nonparametric statistical methods were finally discussed.

【 授权许可】

CC BY