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Detection of random response and impression management in the PAI : II. Detection indices

Abstract

In this study the indices that identify random response and impression management were developed and tested. Applying stepwise discriminant analysis to university student's data, discriminant function was derived and classification rate was calculated. Each index of random, negative impression, and positive impression response set was composed with 4 scales (ICN, INF, ALC, DRG), 5 scales (ICN, NIM, ARD, PAR, WRM), and 7 scales (INF, PIM, ANX, NON, RXR, DOM, WRM), respectively. Overall rates of the classification for these three discriminant functions were 95.5%, 93.7%, 94.7%. These results suggest the following: To identify certain response set correctly, it is appropriate co consider individual validity scale and several scale scores which elevated significantly in each response set.

keywords
PAI, response set, random response, negative impression, positive impression
Submission Date
2001-09-30
Revised Date
2001-10-26
Accepted Date
2001-10-26

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