Three Strategies for the Critical Use of Statistical Methods in Psychological Research

Author:

Campitelli Guillermo1,Macbeth Guillermo23,Ospina Raydonal4,Marmolejo-Ramos Fernando5

Affiliation:

1. Edith Cowan University, Joondalup, Western Australia, Australia

2. National Scientific and Technical Research Council, Buenos Aires, Argentina

3. National University of Entre Ríos, Concepción del Uruguay, Entre Ríos, Argentina

4. Federal University of Pernambuco, Recife, Brazil

5. Stockholm University, Stockholm, Sweden

Abstract

We present three strategies to replace the null hypothesis statistical significance testing approach in psychological research: (1) visual representation of cognitive processes and predictions, (2) visual representation of data distributions and choice of the appropriate distribution for analysis, and (3) model comparison. The three strategies have been proposed earlier, so we do not claim originality. Here we propose to combine the three strategies and use them not only as analytical and reporting tools but also to guide the design of research. The first strategy involves a visual representation of the cognitive processes involved in solving the task at hand in the form of a theory or model together with a representation of a pattern of predictions for each condition. The second approach is the GAMLSS approach, which consists of providing a visual representation of distributions to fit the data, and choosing the best distribution that fits the raw data for further analyses. The third strategy is the model comparison approach, which compares the model of the researcher with alternative models. We present a worked example in the field of reasoning, in which we follow the three strategies.

Publisher

SAGE Publications

Subject

Applied Mathematics,Applied Psychology,Developmental and Educational Psychology,Education

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