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Direct linkHicks, Tyler; Rodríguez-Campos, Liliana; Choi, Jeong Hoon – American Journal of Evaluation, 2018
To begin statistical analysis, Bayesians quantify their confidence in modeling hypotheses with priors. A prior describes the probability of a certain modeling hypothesis apart from the data. Bayesians should be able to defend their choice of prior to a skeptical audience. Collaboration between evaluators and stakeholders could make their choices…
Descriptors: Bayesian Statistics, Evaluation Methods, Statistical Analysis, Hypothesis Testing
Alkin, Marvin C. – Guilford Publications, 2010
Written in a refreshing conversational style, this text thoroughly prepares students, program administrators, and new evaluators to conduct evaluations or to use them in their work. The book's question-driven focus and clear discussions about the importance of fostering evaluation use by building collaborative relationships with stakeholders set…
Descriptors: Evaluators, Evaluation Methods, Stakeholders, Data Analysis
Aas, Gro Hanne; Askling, Berit; Dittrich, Karl; Froestad, Wenche; Haug, Peder; Lycke, Kirsten Hofgaard; Moitus, Sirpa; Pyykko, Riitta; Sorskar, Anne Karine – ENQA (European Association for Quality Assurance in Higher Education), 2009
This report is a product of an European Association for Quality Assurance in Higher Education (ENQA) Workshop "Assessing educational quality: Knowledge production and the role of experts" hosted by the Norwegian Agency for Quality Assurance in Education (NOKUT) in Oslo in February, 2008. The workshop gathered representatives from higher…
Descriptors: Higher Education, Educational Quality, Quality Control, Workshops
