색상환 회상 과제의 반응 자료에 대한 혼합 모형 분석 절차의 이해

Understanding the Procedure of Mixed-Model Analysis for Response Data Acquired from a Color-Wheel Recall Task

초록

The present study characterized properties of response data derived from a color-wheel recall task that is used for examining properties of visual working memory (VWM) representations, and emphasized several considerations to be kept in mind when applying a procedure of mixed-model analysis. In order to address the considerations, the study introduced two major hypothesis of VWM representations, and described characteristics of the mixed-model analysis that are mathematically applied when testing the hypotheses. To specifically introduce the detailed procedure of mixed-model analysis, a set of simulation data was generated based on general characteristics of participants in color-wheel recall tasks, and influence of changes in trial numbers and recall accuracies on variability of recall responses was assessed. The results of assessment showed that a decrease of the trial numbers and recall accuracies together led to a substantial increase in the variability of the recall responses. The results indicate that considering both the numbers of trials in each experimental condition and the average recall accuracies of each participant would be important to derive a consistent pattern of results among studies where one uses a color-wheel recall task to examine the properties of VWM representations.

키워드

시각작업기억; 표상; 색상환 회상 과제; 혼합 모형; 시뮬레이션; visual working memory; representation; color-wheel recall task; mixed-model; simulation
제목
색상환 회상 과제의 반응 자료에 대한 혼합 모형 분석 절차의 이해
제목 (타언어)
Understanding the Procedure of Mixed-Model Analysis for Response Data Acquired from a Color-Wheel Recall Task
저자
김대규; 현주석
DOI
10.37727/jkdas.2019.21.2.1015
발행일
2019-04
저널명
Journal of The Korean Data Analysis Society
권
21
호
2
페이지
1015 ~ 1030