Three strategies for the critical use of statistical methods in psychological research
Campitelli, G., Macbeth, G., Ospina, R. and Marmolejo-Ramos, F. (2017) Three strategies for the critical use of statistical methods in psychological research. Educational and Psychological Measurement, 77 (5). pp. 881-895.
*Subscription may be required
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.
Item Type: | Journal Article |
---|---|
Publisher: | SAGE Publications |
Copyright: | © 2017 by SAGE Publications |
URI: | http://researchrepository.murdoch.edu.au/id/eprint/53768 |
![]() |
Item Control Page |