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Full-Text Articles in Psychology
Burnout-Depression Overlap: Nomological Network Examination And Factor-Analytic Approach, Renzo Bianchi, Irvin Sam Schonfeld
Burnout-Depression Overlap: Nomological Network Examination And Factor-Analytic Approach, Renzo Bianchi, Irvin Sam Schonfeld
Publications and Research
Burnout has been defined as a condition in which individuals are left exhausted by a long-term confrontation with unmanageable job stressors. The question of whether burnout reflects anything other than depressive responses to unresolvable stress remains an object of debate. In this 911-participant study (83% female; mean age: 42.36), we further addressed the issue of burnout-depression overlap. Burnout was assessed with the exhaustion subscale of the Maslach Burnout Inventory-General Survey (MBI-GS) and depression with the PHQ-8. The relationships of burnout and depression with three jobrelated variables – illegitimate work tasks, work-nonwork interference, and job satisfaction – and three “context-free” variables …
An Investigation Of The Accuracy Of Parallel Analysis For Determining The Number Of Factors In A Factor Analysis, Mandy Matsumoto
An Investigation Of The Accuracy Of Parallel Analysis For Determining The Number Of Factors In A Factor Analysis, Mandy Matsumoto
Mahurin Honors College Capstone Experience/Thesis Projects
Exploratory factor analysis is an analytic technique used to determine the number of factors in a set of data (usually items on a questionnaire) for which the factor structure has not been previously analyzed. Parallel analysis (PA) is a technique used to determine the number of factors in a factor analysis. There are a number of factors that affect the results of a PA: the choice of the eigenvalue percentile, the strength of the factor loadings, the number of variables, and the sample size of the study. Although PA is the most accurate method to date to determine which factors …
Refining The Evidence-Based Practice Attitude Scale (Ebpas): An Alternative Confirmatory Factor Analysis, David A. Patterson Silver Wolf (Adelv Unegv Waya) Phd, Catherine N. Dulmus Phd, Eugene Maguin Phd, Nicole Fava
Refining The Evidence-Based Practice Attitude Scale (Ebpas): An Alternative Confirmatory Factor Analysis, David A. Patterson Silver Wolf (Adelv Unegv Waya) Phd, Catherine N. Dulmus Phd, Eugene Maguin Phd, Nicole Fava
Brown School Faculty Publications
Barriers to adopting evidence-based practices into real-world mental health organizations have received considerable attention and study. One particular attempt is Aarons’s Evidence- Based Practice Attitude Scale (EBPAS), which measures a worker’s attitudes toward adopting new treatments, interventions, and practices. This study follows Aarons’s work by conducting a confirmatory factor analysis of the EBPAS administered in a large child and family human service agency in New York state (N = 1,273). Replicating Aarons et al.’s four-factor model of the EBPAS, the authors found that, within the model, the pattern of factor loadings that was apparent in previous investigations held for their …