We investigated the effect of careless or insufficient effort (C/IE) responses in a study using Amazon's Mechanical Turk. A factor mixture model was used to identify latent classes based on the pattern of responses with biases and examine the effect of C/IE responses on the fit of the theoretical model.

A number of machine learning methods can be employed in the prediction of suicide attempts. However, many models do not predict new cases well in cases with unbalanced data. The present study improved prediction of suicide attempts via the use of a generative adversarial network.

Intimate partner violence (IPV) classifications have treatment implications for couples. This study tested the psychometrics of the Continuum of Conflict and Control Relationship Scale (CCC-RS) and examined differences between violence severity and CCC-RS scales. A sample of 575 low-income, ethnically diverse participants contributed data. Results…

This study used latent profile analysis (LPA) to identify acculturation profiles. A three-profile solution fit the data best, and comparisons on demographic and psychosocial outcomes as a function of profile yielded expected results. The findings support using LPA as a parsimonious way to model acculturation without anticipating profiles in…

This study applies a multidimensional scaling (MSD) technique to investigate the structural validity of the Work Values Inventory for Adolescents with a sample of Italian students. The MSD results indicated the presence of two underlying orthogonal dimensions: individuality versus sociality and conservation versus exploration. Implications for…

A latent class analysis of dyadic perfectionism scores within a college sample (N = 369) identified four classes of participants. Controlling for gender and current dating status, class membership was associated with significant differences on several measures of relationship attitudes. Gender and class membership also significantly interacted in…

This study investigated the Outcome Questionnaire's (OQ-45) factor structure and demonstrated the use of factor mixture modeling (FMM) for the purpose of score validation. OQ-45 scores did not fit the one-class, one- and three-factor models. Use of FMM to identify a two-class model is detailed. Implications for OQ-45 users are provided. (Contains…