Ordinal Pattern Analysis in Comparative Psychology: A Flexible Alternative to Null Hypothesis Significance Testing Using an Observation Oriented Modeling Paradigm
| Autor: | Charles I. Abramson, David Philip Arthur Craig |
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| Rok vydání: | 2018 |
| Předmět: |
Comparative psychology
Statistical assumption Method of analysis 030204 cardiovascular system & hematology Honey bees Null Hypothesis Significance Testing Variety (cybernetics) 03 medical and health sciences Observation Oriented Modeling 0302 clinical medicine Individual Analysis Horses 030212 general & internal medicine Analysis of variance Rattlesnakes Psychology General Psychology Ordinal Pattern Analysis Cognitive psychology Statistical hypothesis testing Diversity (business) Ordinal pattern |
| Zdroj: | Craig, David Philip Arthur; & Abramson, Charles I. (2018). Ordinal pattern analysis in comparative psychology-A flexible alternative to null hypothesis significance testing using an observation oriented modeling paradigm. International Journal of Comparative Psychology. Retrieved from: http://www.escholarship.org/uc/item/08w0c08s |
| ISSN: | 2168-3344 0889-3667 |
| DOI: | 10.46867/ijcp.2018.31.01.10 |
| Popis: | Author(s): Craig, David Philip Arthur; Abramson, Charles I | Abstract: The data of comparative psychology generally differ from the majority of data collected within mainstream psychology in several key respects – most notably in the diversity of forms of measurement and fewer number of subjects. We believe null hypothesis significance testing may not be the most appropriate method of analysis for comparative psychology for these reasons. Comparative psychology has a rich history of performing several analyses on a few subjects due to a philosophical interest in individual subject behavior, along with group assessments. Since first being published in 2011, Observation Oriented Modeling has successfully been used to analyze individual subjects’ responses from honey bees, horses, humans, and rattlesnakes. Observation Oriented Modeling is highly flexible and has allowed comparative researchers to perform a variety of assessments comparable to null hypothesis significance testing’s T-Tests, One-way ANOVA, and Repeated-Measures ANOVA while producing easily-interpretable and, most importantly, relevant results. This paper describes the diverse manners in which comparative psychologists can assess individual and group performances without concerns of statistical assumptions and limitations that complicate assessments when employing Null Hypothesis Significance Testing. |
| Databáze: | OpenAIRE |
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