Development of a user-friendly software for the Ratcliff's diffusion model analysis and it's application to the Implicit Association Test

2016 Fiscal Year Final Research Report

• Project/Area Number: 25380988
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Experimental psychology
• Research Institution: Kyoto Koka Women's University
• Principal Investigator: DOI Junko 京都光華女子大学, キャリア形成学部, 教授 (00301713)
• Research Collaborator: TSUCHIYA Hidemitsu 有限会社スピナッチ・パワー
• Project Period (FY): 2013-04-01 – 2017-03-31
• Keywords: parameter estimation / diffusion model / IAT / response time / fast-dm / model fit

Outline of Final Research Achievements

The Implicit Association Test (IAT) is a computer-based psychological experiment and is now widely used in a variety of fields of psychology as an effective measure of a person’s implicit attitudes. However, it has been pointed out several factors unrelated to implicit attitudes, the tentative condition of body and mind, strategic effects and so on, considerably affect the IAT results. In order to assess individual differences, decomposing of the IAT effect into the indicators of implicit attitudes and other confounding factors is very important.

In this study, we have proposed to analyze the IAT data based on the Ratcliff’s diffusion model and have shown the possibility that the diffusion model analysis provides a theory-based tools to filter out IAT effects from confound factors. In addition, we have developed a user-friendly software in order to facilitate the application of diffusion model analyses, based on fast-dm-30 by Jochen Voss and Andreas Voss.

Free Research Field

数理神経科学　心理統計　実験心理学