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A. Stephen Lenz; Carla Smith; Amber Meegan – Measurement and Evaluation in Counseling and Development, 2024
The Professional Quality of Life Scale (ProQOL) has an extensive history of use that often relies on inductions of reliability from precedent literature. We completed a systematic review of the literature and extracted sample-specific reliability estimates for ProQOL subscale scores. Random effects meta-analytic modeling was implemented to…
Descriptors: Literature Reviews, Quality of Working Life, Professional Identity, Meta Analysis
Jason Rose – ProQuest LLC, 2024
Death anxiety has been an unremitting agent of the human experience. The psychological dilemma posed by the awareness and forecasting of death can increase anxiety, thus affecting well-being through the compulsive desire or will to persist (Becker, 1973; Yalom, 1980). Such psychological armor can manifest in conscious and unconscious behaviors,…
Descriptors: Death, Anxiety, Counselor Training, Student Attitudes
Jaskyte, Kristina; Butkeviciene, Ruta; Danuseviciene, Lina; Jurkuviene, Ramune – Creativity Research Journal, 2020
Work values, which describe what employees seek from their jobs and which parts of their jobs are important to them, have been linked to employees' response to work situations, organizational commitment, and job satisfaction. One work value that has not received adequate attention when exploring the link between work values and employees'…
Descriptors: Employee Attitudes, Work Attitudes, Values, Creativity
Rafaella Sale; Sarah Kate Bearman; Rebecca Woo; Nichole Baker – Administration and Policy in Mental Health and Mental Health Services Research, 2021
Measurement feedback systems (MFSs) that routinely collect and report client progress to mental health therapists have demonstrated beneficial impact on outcomes in numerous studies, with evidence that there is a dose-response relationship related to the implementation of the MFS. The current study examined the impact of MFS implementation…
Descriptors: Mental Health, Public Agencies, Feedback (Response), Youth
Frey, Jodi Jacobson; Hopkins, Karen; Osteen, Philip; Callahan, Christine; Hageman, Sally; Ko, Jungyai – Journal of Social Work Education, 2017
In social work and other community-based human services settings, clients often present with complex financial problems. As a need for more formal training is beginning to be addressed, evaluation of existing training is important, and this study evaluates outcomes from the Financial Stability Pathway (FSP) project. Designed to prepare…
Descriptors: Social Work, Caseworkers, Human Services, Financial Needs
McDuffy, Moriel S. – ProQuest LLC, 2016
This study used a non-experimental design to examine whether job satisfaction, rumination, age and years of experience predict burnout among human service workers serving high-risk populations. The study also used a stepwise regression to assess whether job satisfaction, rumination, age, or years of experience predict burnout equally. Burnout was…
Descriptors: Job Satisfaction, Burnout, Age Differences, Experience
Selig, James P.; Trott, Arianna; Lemberger, Matthew E. – Journal for Specialists in Group Work, 2017
Researchers in group counseling often encounter complex data from individual clients who are members of a group. Clients in the same group may be more similar than clients from different groups and this can lead to violations of statistical assumptions. The complexity of the data also means that predictors and outcomes can be measured at both the…
Descriptors: Group Counseling, Hierarchical Linear Modeling, Research, Client Characteristics (Human Services)
Regional Educational Laboratory Mid-Atlantic, 2020
Pittsburgh Public Schools (PPS), the Propel Schools charter network, and the Allegheny County Department of Human Services (DHS) want to better identify students at risk for academic problems in the near term. The stakeholders partnered with the Regional Education Laboratory Mid-Atlantic to develop an approach for identifying at-risk students…
Descriptors: Elementary Secondary Education, At Risk Students, Welfare Services, Child Welfare
Dedey, Florence; Wu, Lily; Ayettey, Hannah; Sanuade, Olutobi A.; Akingbola, Titilola S.; Hewlett, Sandra A.; Tayo, Bamidele O.; Cole, Helen V.; de-Graft Aikins, Ama; Ogedegbe, Gbenga; Adanu, Richard – Health Education & Behavior, 2016
Background: Breast cancer is the leading cause of cancer-related mortality among women in Ghana. Data are limited on the predictors of poor outcomes in breast cancer patients in low-income countries; however, prolonged waiting time has been implicated. Among breast cancer patients who received treatment at Korle Bu Teaching Hospital, this study…
Descriptors: Foreign Countries, Medical Schools, Cancer, Time Perspective
Curran, Laura; Sanchez Mayers, Ray; Fulghum, Fontaine – Journal of Teaching in Social Work, 2017
Online programs have proliferated rapidly in higher education, and this reality holds true for social work education as well. Employing a mixed methods design, this study looked at employer perceptions of online degrees compared to traditional degrees. Data was collected through an online survey that included Likert type and open-ended questions…
Descriptors: Human Services, Administrator Attitudes, Online Courses, Social Work
Using Data from Schools and Child Welfare Agencies to Predict Near-Term Academic Risks. REL 2020-027
Bruch, Julie; Gellar, Jonathan; Cattell, Lindsay; Hotchkiss, John; Killewald, Phil – Regional Educational Laboratory Mid-Atlantic, 2020
This report provides information for administrators, researchers, and student support staff in local education agencies who are interested in identifying students who are likely to have near-term academic problems such as absenteeism, suspensions, poor grades, and low performance on state tests. The report describes an approach for developing a…
Descriptors: At Risk Students, Data Use, Child Welfare, Predictor Variables
Regional Educational Laboratory Mid-Atlantic, 2020
The document are the appendixes for the full report, "Using Data from Schools and Child Welfare Agencies to Predict Near-Term Academic Risks." The study team collected and linked five academic years of student-level administrative data from Pittsburgh Public Schools (PPS), Propel Schools, and the Allegheny County Department of Human…
Descriptors: Elementary Secondary Education, Public Schools, Charter Schools, At Risk Students