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| Modeling Psychological Experimental Data Based on Linear Mixed Effects Models |
| School of Education Science / Center for Education and Economic Research, Gannan Normal University, Ganzhou 341000, China |
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Abstract In psychological experimental research, it is important not only to pay attention to the rigor of the research design but also to ensure that the statistical methods align with the research design. The existing linear mixed effects model (LMEM) is limited to correct reaction times, but incorrect reaction times also reflect important operational information of the subjects on the stimuli. Based on this, this study draws on the approach of survival analysis to censored data, proposing a LMEM of joint incorrect reaction time (JILMEM). In the example data, the JILMEM shows a clear advantage in fitting compared to the LMEM. In simulation study, JILMEM demonstrates a notable superiority over LMEM and F1/F2 test methods in accurately discerning the characteristics of various simulated scenarios and treatment effects in psychological experiments. Therefore, JILMEM can more effectively identify the characteristics of the experimental design, thereby enhancing the repeatability of the research.
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Published: 09 May 2024
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