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Dittrich, Dino; Leenders, Roger Th. A. J.; Mulder, Joris – Sociological Methods & Research, 2019
Currently available (classical) testing procedures for the network autocorrelation can only be used for falsifying a precise null hypothesis of no network effect. Classical methods can be neither used for quantifying evidence for the null nor for testing multiple hypotheses simultaneously. This article presents flexible Bayes factor testing…
Descriptors: Correlation, Bayesian Statistics, Networks, Evaluation Methods
Porter, Kristin E. – Journal of Research on Educational Effectiveness, 2018
Researchers are often interested in testing the effectiveness of an intervention on multiple outcomes, for multiple subgroups, at multiple points in time, or across multiple treatment groups. The resulting multiplicity of statistical hypothesis tests can lead to spurious findings of effects. Multiple testing procedures (MTPs) are statistical…
Descriptors: Statistical Analysis, Program Effectiveness, Intervention, Hypothesis Testing
Okada, Kensuke – Research Synthesis Methods, 2015
This paper proposes a new method to evaluate informative hypotheses for meta-analysis of Cronbach's coefficient alpha using a Bayesian approach. The coefficient alpha is one of the most widely used reliability indices. In meta-analyses of reliability, researchers typically form specific informative hypotheses beforehand, such as "alpha of…
Descriptors: Correlation, Bayesian Statistics, Meta Analysis, Hypothesis Testing
Porter, Kristin E. – Grantee Submission, 2017
Researchers are often interested in testing the effectiveness of an intervention on multiple outcomes, for multiple subgroups, at multiple points in time, or across multiple treatment groups. The resulting multiplicity of statistical hypothesis tests can lead to spurious findings of effects. Multiple testing procedures (MTPs) are statistical…
Descriptors: Statistical Analysis, Program Effectiveness, Intervention, Hypothesis Testing
Alzaid, Jawaher Mohammed – International Education Studies, 2017
This study aims at finding out the effect of peer assessment on the evaluation process of students. The hypothesis underlying this study is that assessment is an integral part of the learning process, which should play an important role in the educational model. The current study will emphasize the importance of using peer assessment as a tool to…
Descriptors: Foreign Countries, College Students, Peer Evaluation, Student Evaluation
Porter, Kristin E. – MDRC, 2016
In education research and in many other fields, researchers are often interested in testing the effectiveness of an intervention on multiple outcomes, for multiple subgroups, at multiple points in time, or across multiple treatment groups. The resulting multiplicity of statistical hypothesis tests can lead to spurious findings of effects. Multiple…
Descriptors: Statistical Analysis, Program Effectiveness, Intervention, Hypothesis Testing
Butler, Michelle A.; Katayama, Andrew D.; Schindling, Casey; Dials, Katherine – Journal of Educational Research, 2018
Although testing accommodations for standardized assessments are available for students with disabilities, interpretation remains challenging. The authors explored resilience to see if it could contribute to the interpretation of academic success for students who are deaf or hard of hearing or blind or have low vision. High school students (30…
Descriptors: Deafness, Blindness, Resilience (Psychology), Student Evaluation
Gorbunova, Tatiana N. – European Journal of Contemporary Education, 2017
The subject of the research is to build methodologies to evaluate the student knowledge by testing. The author points to the importance of feedback about the mastering level in the learning process. Testing is considered as a tool. The object of the study is to create the test system models for defence practice problems. Special attention is paid…
Descriptors: Testing, Evaluation Methods, Feedback (Response), Simulation
Spencer, Bryden – ProQuest LLC, 2016
Value-added models are a class of growth models used in education to assign responsibility for student growth to teachers or schools. For value-added models to be used fairly, sufficient statistical precision is necessary for accurate teacher classification. Previous research indicated precision below practical limits. An alternative approach has…
Descriptors: Monte Carlo Methods, Comparative Analysis, Accuracy, High Stakes Tests
Lang, Tim – International Journal of Sustainability in Higher Education, 2015
Purpose: The purpose of this paper is to test the hypothesis that there are correlations between campus sustainability initiatives and environmental performance, as measured by resource consumption and waste generation performance metrics. Institutions of higher education would like to imply that their campus sustainability initiatives are good…
Descriptors: Sustainability, Climate, Wastes, Energy Conservation
Luce, Christine; Kirnan, Jean P. – Journal of the Scholarship of Teaching and Learning, 2016
Contradictory results have been reported regarding the accuracy of various methods used to assess student learning in higher education. The current study examined student learning outcomes across a multi-section and mult-iinstructor psychology research course with both indirect and direct assessments in a sample of 67 undergraduate students. The…
Descriptors: Undergraduate Students, Psychology, Methods Courses, Student Evaluation
Andjelic, Svetlana; Cekerevac, Zoran – Education and Information Technologies, 2014
This article presents the original model of the computer adaptive testing and grade formation, based on scientifically recognized theories. The base of the model is a personalized algorithm for selection of questions depending on the accuracy of the answer to the previous question. The test is divided into three basic levels of difficulty, and the…
Descriptors: Computer Assisted Testing, Educational Technology, Grades (Scholastic), Test Construction
Rust, Dianna Z.; Ikard, William L. – Journal of Continuing Higher Education, 2016
Prior learning assessment (PLA) is the process of evaluating learning, regardless of when or where the learning occurred, and, if the learning is at the college level, awarding college credit to the possessor of that learning. This article provides an overview of the PLA program at a large public U.S. institution and presents the findings of the…
Descriptors: Prior Learning, Public Colleges, Higher Education, Outcomes of Education
Rusconi, Patrice; Marelli, Marco; D'Addario, Marco; Russo, Selena; Cherubini, Paolo – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2014
Evidence evaluation is a crucial process in many human activities, spanning from medical diagnosis to impression formation. The present experiments investigated which, if any, normative model best conforms to people's intuition about the value of the obtained evidence. Psychologists, epistemologists, and philosophers of science have proposed…
Descriptors: Experimental Psychology, Models, Intuition, Evidence
Rosman, Tom; Mayer, Anne-Kathrin; Krampen, Günter – Assessment & Evaluation in Higher Education, 2015
This article examines the significance of information literacy self-assessments in higher education with a special focus on situational conditions increasing their explanatory power. First, it was hypothesised that self-assessments of information literacy correlate higher with factual information literacy if measured after the administration of…
Descriptors: Achievement Tests, Information Literacy, Educational Practices, Higher Education

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