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Three strategies for the critical use of statistical methods in psychological research
Journal article   Peer reviewed

Three strategies for the critical use of statistical methods in psychological research

G. Campitelli, G. Macbeth, R. Ospina and F. Marmolejo-Ramos
Educational and Psychological Measurement, Vol.77(5), pp.881-895
2017
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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.

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Collaboration types
Domestic collaboration
International collaboration
Citation topics
9 Mathematics
9.92 Statistical Methods
9.92.220 Robust Estimation
Web Of Science research areas
Mathematics, Interdisciplinary Applications
Psychology, Educational
Psychology, Mathematical
ESI research areas
Psychiatry/Psychology
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