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Jona Lilienthal; Sibylle Sturtz; Christoph Schürmann; Matthias Maiworm; Christian Röver; Tim Friede; Ralf Bender – Research Synthesis Methods, 2024
In Bayesian random-effects meta-analysis, the use of weakly informative prior distributions is of particular benefit in cases where only a few studies are included, a situation often encountered in health technology assessment (HTA). Suggestions for empirical prior distributions are available in the literature but it is unknown whether these are…
Descriptors: Bayesian Statistics, Meta Analysis, Health Sciences, Technology
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Jhong Yun Kim; Andrew Keane – International Journal for Educational and Vocational Guidance, 2024
Despite stakeholders' desire for organizations to participate in corporate social responsibility (CSR) activities, some organizations do not invest in CSR due to uncertainty around the value it provides to performance. This research investigates the effect size of the relationship between CSR and performance via a meta-analysis of 17 articles. A…
Descriptors: Social Responsibility, Corporations, Job Performance, Work Environment
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Martin Brunner; Sophie E. Stallasch; Oliver Lüdtke – Journal of Research on Educational Effectiveness, 2024
To assess the meaningfulness of an intervention effect on students' achievement, researchers may apply empirical benchmarks as standards for comparisons, involving normative expectations for students' academic growth as well as performance gaps between weak and average schools or policy-relevant groups (e.g., male and female students, students…
Descriptors: Foreign Countries, Meta Analysis, Benchmarking, Intervention