Literaturnachweis - Detailanzeige
| Autor/inn/en | Hicks, Tyler; Rodríguez-Campos, Liliana; Choi, Jeong Hoon |
|---|---|
| Titel | Bayesian Posterior Odds Ratios: Statistical Tools for Collaborative Evaluations |
| Quelle | In: American Journal of Evaluation, 39 (2018) 2, S.278-289 (12 Seiten)Infoseite zur Zeitschrift
PDF als Volltext (1); PDF als Volltext kostenfreie Datei (2) |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 1098-2140 |
| DOI | 10.1177/1098214017704302 |
| Schlagwörter | Bayesian Statistics; Evaluation Methods; Statistical Analysis; Hypothesis Testing; Probability; Educational Cooperation; Partnerships in Education; Evaluators; Stakeholders; Expertise; Teamwork; Group Dynamics; Research Methodology |
| Abstract | 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 more defensible. This article describes how evaluators and stakeholders could combine their expertise to select rigorous priors for analysis. The article first introduces Bayesian testing, then situates it within a collaborative framework, and finally illustrates the method with a real example. (As Provided). |
| Anmerkungen | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2020/1/01 |
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