Despite a substantial research literature on the influence of dimensions and exercises in assessment centers (ACs), the relative impact of these two sources of variance continues to raise uncertainties because of confounding. With confounded effects, it is not possible to establish the degree to which any one effect, including those related to exercises and dimensions, influences AC ratings. In the current study (N = 698) we used Bayesian generalizability theory to unconfound all of the possible effects contributing to variance in AC ratings. Our results show that ≤ 1.11% of the variance in AC ratings was directly attributable to behavioral dimensions, suggesting that dimension-related effects have no practical impact on the reliability of ACs.Even when taking aggregation level into consideration, effects related to general performance and exercises accounted for almost all of the reliable variance in AC ratings. The implications of these findings for recent dimension-and exercise-based perspectives on ACs are discussed. When, in the context of selection, appraisal, and development, behavioral criteria are used to evaluate individuals, it is essential that these criteria are measured reliably.Unsurprisingly, therefore, the measurement properties of assessment center (AC) ratings have come under close scrutiny in the applied psychology literature. In ACs, the behavior of jobholders or candidates is sampled across several work-related situations (exercises, e.g., a role play exercise, group discussion, presentation) and is typically assessed by trained assessors in terms of pre-defined behavioral dimensions (e.g., communication skills, teamwork, planning and organizing). As a result of their multifaceted measurement properties, incorporating dimensions, exercises, and assessors, ACs provide a rich source of information about the extent to which work-related behavioral criteria can be reliably measured in a job-relevant setting.Historically, researchers have questioned the extent to which behavioral dimensions are measured reliably in ACs, and have implied that researchers should utilize an exercise-oriented approach to scoring ACs

Fundamental to disaster readiness planning is developing training strategies to compensate for the limited opportunities available for acquiring actual disaster response experience. With regard to communication, decision making and integrated emergency management response, the need to develop mental models capable of reconciling knowledge of multiple goals with the collective expertise of those responding represents a significant challenge for training. This paper explores the utility of the assessment centre as a developmental resource capable of achieving this goal. In addition to providing multiple, expertly evaluated simulations to facilitate the development and practice of specific skills, the ability of assessment centre methodology to promote tacit knowledge and self-efficacy renders it an appropriate vehicle for developing the mental models that underpin the core disaster management competencies of situational awareness and naturalistic and team decision making.

Although student integration theory, a sociologically-based model, has been the dominant explanation for student drop-out from colleges for over 40 years, it has received only mixed empirical support in residential colleges and less in non-residential colleges. Psychological theories of active choice and behavior change off er an alternative explanation for drop-out. In research at a non-residential UK university, structural equation modeling was used in two separate studies to compare a model of student dropout based on student integration theory with a psychological model based on the theory of planned behavior (TPB). In the first study (N=633), a model including TPB variables and two key student integration theory variables (academic integration, and social integration) showed good fit to the data, Although all three TPB variables predicted intention to quit, neither of the two student integration theory variables did so. The TPB variables explained over 60% of the variance in student's intention to voluntarily withdraw from college before completing their studies, and intention to withdraw was associated with actual dropout behavior. In the second study (N=180), using alternative measures of student integration theory factors, a model including both student integration theory and TPB variables had acceptable fit, and over 70% of the variance in intention to quit was explained. But only the TPB variables predicted intention to quit significantly. The benefits of adopting a process-based psychological explanation to student retention are discussed.with retention problems suffer a significant loss of income; and for countries, higher education systems which can increase social mobility and provide the specialized intellectual and skills required in the 21 st century are undermined by high levels of student attrition (Seidman, 2012, pp. 2-3). The importance of retention in higher education is reflected in the wide range of locations in which research on retention has been carried out in recent years, including Australia

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