Count data in psychological applied research

Jaume Vives, Josep Maria Losilla, María Florencia Rodrigo

Research output: Contribution to journalArticleResearchpeer-review

16 Citations (Scopus)

Abstract

As some authors have noticed in fields other than psychology, level of measurement and distributional characteristics of count data are commonly not taken into account, so that they are analysed as normally distributed continuous variables, and therefore some general linear model is applied. In this work, we review a random sample of 457 articles published in the last four years in journals with the highest impact factor in the Journal Citation Reports (JCR Social Sciences Edition) of the Institute for Scientific Information. The goals are to know how often count variables appear in psychological applied research and which data analyses are used when dealing with count response variables. Examination showed that there is a notable presence of count variables, especially in some topics in psychology and a remarkable misapplication of the general linear model. One deals with causes and consequences of this approach to data analysis and suggests the use of specific models to analyse count data. © Psychological Reports 2006.
Original languageEnglish
Pages (from-to)821-835
JournalPsychological Reports
Volume98
DOIs
Publication statusPublished - 1 Jun 2006

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