Effects of @entity15285 on detecting feigned XXXX with the Category test.

@entity1 @entity131 @entity73 @entity15285 @entity1062
In a replication and extension of previous research (Tenhula _ Sweet, 1996), the current study investigated the utility of the Category Test (CT) for detecting feigned @entity73 . Ninety-two undergraduate @entity1 were randomly assigned to one of three groups and administered the CT. A Coached Simulator group was instructed to simulate @entity73 and was provided test-taking strategies to avoid detection. An Uncoached Simulator group was simply instructed to feign impairment. A control group was instructed to perform optimally. In addition, the CT results of 30 @entity131 ( @entity131 ) @entity1 were analyzed. The results largely supported the utility of five CT malingering indicators identified by Tenhula and Sweet: (a) number of errors on subtests I and II, (b) number of errors on subtest VII, (c) total @entity1062 , (d) number of errors on 19 "easy" items, and (e) number of criteria exceeded. Correct Classification rates of the five indicators for Uncoached Simulators and optimal performance controls ranged from 87% to 98%. Correct Classification rates for the @entity131 @entity1 ranged from 70% to 100%. In addition, significantly more Coached Simulators were misclassified as nonsimulators on four of the CT malingering indicators, relative to their Uncoached counterparts. A decision rule of > 1 error on subtests I and II was consistently the most accurate malingering indicator, regardless of degree of @entity15285 or presence of @entity131 . This indicator correctly classified 76% of all simulators and 100% of the optimal performance controls and @entity131 @entity1 . Implications of providing @entity1 with test-taking strategies and the utility of these CT malingering indicators for various populations are discussed.
