Three more attempts to prevent faking good in personality questionnaires

This paper describes the attempt to prevent faking good in personality questionnaires by several (new) means. Firstly, an analog response format was used instead of forced choice or another categorical response format; results based on the replication of an earlier experiment are presented. Secondly, the hypothesis that an “over-kill” number of items cause an examinee to finally give up faking good was considered. Thirdly, the hypothesis was tested that faking good can be prevented by use of a warning instruction stating that the computer is able to identify whether or not an examinee’s answers fit a realistic personality profile. Both the latter hypotheses were investigated and rejected in another experiment. The same is true as concerns the replication of the experiment applying an analog response format. However, it is argued that the experiments described in this paper use volunteers as subjects; evidence is given that answering behavior changes considerably, depending on whether an examinee is a job appli-cant or merely a volunteer

On a Practitioner’s Need of Further Development of Wechsler Scales. Adaptive Intelligence Diagnosticum (AID 2).

Las baterías de tests de inteligencia de Wechsler todavía son populares a pesar de presentar limitaciones psicométricas y una cierta carencia de mejoras y ampliación de contenidos. En este trabajo se presenta un nuevo enfoque que cubre las necesidades de las tradicionales pruebas de Wechsler. El enfoque en cuestión es el Diagnóstico de Inteligencia Adaptativa (AID 2; Kubinger & Wurst, 2000). Debido a su diseño ramificado, AID 2 es más económico y ofrece otras ventajas, como pruebas paralelas y formas abreviadas. AID 2 ofrece un método de investigación para identificar trastornos específicos del desarrollo y dificultades de aprendizaje. Incluye una introducción no verbal opcional y un programa de apoyo para la observación retrospectiva de desajustes conductuales. También ofrece indicadores discriminativos de retraso intelectual vs. progreso intelectual.Las baterías de tests de inteligencia de Wechsler todavía son populares a pesar de presentar limitaciones psicométricas y una cierta carencia de mejoras y ampliación de contenidos. En este trabajo se presenta un nuevo enfoque que cubre las necesidades de las tradicionales pruebas de Wechsler. El enfoque en cuestión es el Diagnóstico de Inteligencia Adaptativa (AID 2; Kubinger & Wurst, 2000). Debido a su diseño ramificado, AID 2 es más económico y ofrece otras ventajas, como pruebas paralelas y formas abreviadas. AID 2 ofrece un método de investigación para identificar trastornos específicos del desarrollo y dificultades de aprendizaje. Incluye una introducción no verbal opcional y un programa de apoyo para la observación retrospectiva de desajustes conductuales. También ofrece indicadores discriminativos de retraso intelectual vs. progreso intelectual

Linear Logistic Test Modeling with R

The present paper gives a general introduction to the linear logistic test model (Fischer, 1973), an extension of the Rasch model with linear constraints on item parameters, along with eRm (an R package to estimate different types of Rasch models; Mair, Hatzinger, & Mair, 2014) functions to estimate the model and interpret its parameters. The applications of the model in test validation, hypothesis testing, cross-cultural studies of test bias, rule-based item generation, and investigating construct irrelevant factors which contribute to item difficulty are explained. The model is applied to an English as a foreign language reading comprehension test and the results are discussed. Accessed 7,390 times on https://pareonline.net from January 01, 2014 to December 31, 2019. For downloads from January 1, 2020 forward, please click on the PlumX Metrics link to the right

Three more attempts to prevent faking good in personality questionnaires

This paper describes the attempt to prevent faking good in personality questionnaires by several (new) means. Firstly, an analog response format was used instead of forced choice or another categorical response format; results based on the replication of an earlier experiment are presented. Secondly, the hypothesis that an “over-kill” number of items cause an examinee to finally give up faking good was considered. Thirdly, the hypothesis was tested that faking good can be prevented by use of a warning instruction stating that the computer is able to identify whether or not an examinee’s answers fit a realistic personality profile. Both the latter hypotheses were investigated and rejected in another experiment. The same is true as concerns the replication of the experiment applying an analog response format. However, it is argued that the experiments described in this paper use volunteers as subjects; evidence is given that answering behavior changes considerably, depending on whether an examinee is a job appli-cant or merely a volunteer