Using a Gaussian Graphical Model to Explore Relationships Between Items and Variables in Environmental Psychology Research.

ABSTRACT: Exploratory analyses are an important first step in psychological research, particularly in problem-based research where various variables are often included from multiple theoretical perspectives not studied together in combination before. Notably, exploratory analyses aim to give first insights into how items and variables included in a study relate to each other. Typically, exploratory analyses involve computing bivariate correlations between items and variables and presenting them in a table. While this is suitable for relatively small data sets, such tables can easily become overwhelming when datasets contain a broad set of variables from multiple theories. We propose the Gaussian graphical model as a novel exploratory analyses tool and present a systematic roadmap to apply this model

SUBMITTER: Bhushan N 

PROVIDER: S-EPMC6521910 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature