Federal Management Partners

It is common to model responses to surveys within latent variable frameworks (e.g., item response theory [IRT], confirmatory factor analysis [CFA]) and use model fit indices to evaluate model-data congruence. Unfortunately, research shows that people occasionally engage in careless responding (CR) when completing online surveys. While CR has the potential to negatively impact model fit, this issue has not been systematically explored. To better understand the CR-fit linkage, two studies were conducted. In study 1, participants' response behaviors were experimentally shaped and used to embed aspects of a comprehensive simulation (study 2) with empirically informed data. For this simulation, 144 unique conditions (which varied the sample size, number of items, CR prevalence, CR severity, and CR type), two latent variable models (IRT, CFA), and six model fit indices (χ2, RMSEA, SRMSR [CFA] and M2, RMSEA, SRMSR [IRT]), were examined. The results indicated that CR deteriorates model fit under most circumstances, though these effects are nuanced, variable, and contingent on many factors. These findings can be leveraged by researchers and practitioners to improve survey methods, obtain more accurate survey results, develop more precise theories, and enable more justifiable data-driven decisions.

Cloud computing is gaining popularity in higher education settings, but the costs and benefits of this tool have gone largely unexplored. The purpose of this study was to examine the factors that lead to technology adoption in a higher education setting. Specifically, we examined a range of predictors and outcomes relating to the acceptance of a cloud computing platform in rural and urban community colleges. Drawing from the Technology Acceptance Model 3 (TAM3) (Venkatesh, V. and Bala, H., 2008. Technology Acceptance Model 3 and a research agenda on interventions. Decision Sciences, 39 (2), 273–315), we build on the literature by examining both the actual usage and future intentions; further, we test the direct and indirect effects of a range of predictors on these outcomes. Approximately 750 community college students enrolled in basic computing skills courses participated in this study; findings demonstrated that background characteristics such as the student's ability to travel to campus had influenced the usefulness perceptions, while ease of use was largely determined by first-hand experiences with the platform, and instructor support. We offer recommendations for community college administrators and others who seek to incorporate cloud computing in higher education settings.

This study examines the psychological impact of viewing disturbing media on investigators engaged in computer forensics work. Twenty-eight federal law enforcement personnel who investigate Internet child pornography cases completed measures of secondary traumatic stress disorder (STSD) and burnout. Substantial percentages of investigators reported poor psychological well-being. Greater exposure to disturbing media was related to higher levels of STSD and cynicism. STSD and burnout scores were related to increased protectiveness of family, reliance on co-workers, general distrust, and turnover intentions. On a positive note, investigators scored high in professional efficacy, indicating they feel their work makes a difference. Furthermore, personnel with supportive relationships scored lower on both STSD and burnout.