Three Strategies for the Critical Use of Statistical Methods in Psychological Research
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| Title: | Three Strategies for the Critical Use of Statistical Methods in Psychological Research |
|---|---|
| Language: | English |
| Authors: | Campitelli, Guillermo, Macbeth, Guillermo, Ospina, Raydonal, Marmolejo-Ramos, Fernando |
| Source: | Educational and Psychological Measurement. Oct 2017 77(5):881-895. |
| Availability: | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com |
| Peer Reviewed: | Y |
| Page Count: | 15 |
| Publication Date: | 2017 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Research Methodology, Hypothesis Testing, Psychology, Social Science Research, Statistical Analysis, Statistical Significance, Visualization, Cognitive Processes, Prediction, Statistical Distributions, Hierarchical Linear Modeling, Comparative Analysis |
| DOI: | 10.1177/0013164416668234 |
| ISSN: | 0013-1644 |
| 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. |
| Abstractor: | As Provided |
| Number of References: | 54 |
| Entry Date: | 2017 |
| Accession Number: | EJ1154549 |
| Database: | ERIC |
| 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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| ISSN: | 0013-1644 |
| DOI: | 10.1177/0013164416668234 |
