What Is the Nature of Faking? Modeling Distinct Response Patterns and Quantitative Differences in Faking at the Same Time
提出一种结合因子混合模型和潜在变化分数模型的新方法，同时检验了伪造的两种竞争观点（定性反应模式与定量连续变量），并应用于497名求职者数据，结果支持伪造主要是一种连续定量变量。
Research trying to uncover the true nature of faking is currently dominated by two competing modeling approaches. One approach views faking as the manifestation of distinct and qualitatively different response patterns. Typically, mixed Rasch models are used within this approach. The alternative approach views faking as a continuous and quantitative variable resulting from the interaction between test taker personality and situational demands. Modeling techniques for this approach range from regression analyses to structural equation modeling. So far, there has been no study in which both modeling approaches have been applied within one data set. More importantly, so far there has been no methodological model in which both views of faking could have been modeled simultaneously. Within the present article such a modeling approach is introduced and applied to a data set of N = 497 applicants. By combining factor mixture modeling with a latent change score model, it was possible to test both views of faking within the same model. Findings support the view of faking mainly as a continuous and quantitative variable. Theoretical implications are discussed.