ISSN : 1229-067X
본 연구의 목적은 형사사법 현장에서 정신병리의 가장을 탐지하기 위해 고안된 M-FAST(Miller Forensic Assessment of Symptoms Test)를 국내에 소개하고, M-FAST의 신뢰도 및 타당도 검증을 통해 본 검사도구가 국내 표본을 대상으로 꾀병 탐지에 있어 적합한 지를 알아보는데 있다. 이를 위하여 K대학교에서 교양강좌를 수강하는 대학생(n=92), 그리고 국립 법무병원에서 정신감정으로 인해 입원해 있는 범죄자 집단(n=66)의 M-FAST 실시 자료가 분석에 사용되었다. M-FAST 전체 25문항의 내적 일치도는 신뢰도 계수 .90으로 매우 높은 것으로 나타났다. 또한 M-FAST의 7요인 구조에 대한 확인적 요인 분석이 실시되었다. 한편, MMPI-2 타당도 척도와의 상관관계 분석을 통하여 준거관련 타당도의 증거 또한 확인하였다. 전체 실험 참자가를 꾀병 집단과 솔직 응답 집단으로 재분류하여 M-FAST의 변별력을 살펴본 결과, M-FAST 총점과 모든 하위 척도에서 꾀병 집단이 솔직 응답 집단보다 유의하게 더 높은 점수를 보인 것으로 나타났다. 한편, ROC 분석 결과 M-FAST의 AUC는 .949로, 표준오차는 .017, p<.001, 95% 신뢰구간은 .9151에서 .982의 범위로 나타나 솔직 응답 집단과 꾀병 집단을 M-FAST가 효과적으로 구분하고 있는 것으로 나타났으며, M-FAST 총점의 변별 기준점이 6점이었을 때 예측 정확률은 최대가 되는 것으로 확인되었다.
The purpose of this study is to introduce the Miller Forensic Assessment of Symptoms Test(M-FAST) which was developed for detecting malingered mental illness and to test the reliability and validity of M-FAST using Korean population. For this purpose, undergraduate students(n=92) and criminal defendants who were referred to forensic examination(n=66) were included in the study. Reliability analysis of 25 M-FAST items produced an alpha coefficient of .90. Confirmatory factor analysis for testing 7 factor model of M-FAST was also examined. Correlation analysis between M-FAST total score, scale scales and validity scales of MMPI-2 found evidence of construct validity. Total data were reclassified into two sub-groups(honest respondents group and malingered group), and the independent sample t-test was conducted to determine the difference in the M-FAST total score and 7 scale scores between two groups. The results revealed that the honest respondents group showed higher M-FAST total score and scale scores than malingered group. ROC analysis yielded an AUC of .949(SE=.017, p<.001). Finally, the optimum M-FAST total cut-off score was revealed as 6 points(sensitivity=.895, specificity=.915). These results indicates that M-FAST has high reliability and validity in this study using Korean population.
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