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. 2017 Oct;77(5):855-867.
doi: 10.1177/0013164416667985. Epub 2016 Oct 6.

Observation-Oriented Modeling: Going Beyond "Is It All a Matter of Chance"?

James W Grice  1 , Maria Yepez  1 , Nicole L Wilson  2 , Yuichi Shoda  2
Affiliations

Observation-Oriented Modeling: Going Beyond "Is It All a Matter of Chance"?

James W Grice et al. Educ Psychol Meas. 2017 Oct.

Abstract

An alternative to null hypothesis significance testing is presented and discussed. This approach, referred to as observation-oriented modeling, is centered on model building in an effort to explicate the structures and processes believed to generate a set of observations. In terms of analysis, this novel approach complements traditional methods based on means, variances, and covariances with methods of pattern detection and analysis. Using data from a previously published study by Shoda et al., the basic tenets and methods of observation-oriented modeling are demonstrated and compared with traditional methods, particularly with regard to null hypothesis significance testing.

Keywords: inference to best explanation; integrated model; null hypothesis significance testing; observation-oriented modeling.

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Conflict of interest statement

Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1.
Figure 1.
Integrated model for Shoda et al.’s study.
Figure 2.
Figure 2.
Anxiety, inferiority, and stress ratings for Participant 9.
Figure 3.
Figure 3.
Overwhelmed, nervousness, and stress ratings for Participant 5.
See this image and copyright information in PMC

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