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Paul J. Dizona – ProQuest LLC, 2022
Missing data is a common challenge to any researcher in almost any field of research. In particular, human participants in research do not always respond or return for assessments leaving the researcher to rely on missing data methods. The most common methods (i.e., Multiple Imputation and Full Information Maximum Likelihood) assume that the…
Descriptors: Pretests Posttests, Research Design, Research Problems, Dropouts
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Raykov, Tenko; Pusic, Martin – Educational and Psychological Measurement, 2023
This note is concerned with evaluation of location parameters for polytomous items in multiple-component measuring instruments. A point and interval estimation procedure for these parameters is outlined that is developed within the framework of latent variable modeling. The method permits educational, behavioral, biomedical, and marketing…
Descriptors: Item Analysis, Measurement Techniques, Computer Software, Intervals
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Pooja Rana; Mithilesh Kumar Dubey; Lovi Raj Gupta; Amit Kumar Thakur – Interactive Learning Environments, 2024
In recent years, the system of student learning and academic emotions has been taken seriously to re-engineer the teaching-learning process at all levels of education. This research paper considers both aspects of assessing the translation of knowledge i.e. qualitative and quantitative. In the current scenario, quantitative and qualitative…
Descriptors: Educational Assessment, Outcomes of Education, Models, Evaluation Methods
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De Jesus Alvares Mendes Junior, Isaias; Alves, Maria Do Céu – Cogent Education, 2023
Several studies with quantitative, qualitative or theoretical approaches have been carried out, focusing on the application of the Balanced Scorecard (BSC) in the educational sector. However, despite the literature on the subject, it is difficult to draw an overview of the use of the BSC in this sector. In order to fill this gap, our research…
Descriptors: Evaluation Methods, Statistical Analysis, Research Reports, Databases
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Heckman, Sarah; Carver, Jeffrey C.; Sherriff, Mark; Al-zubidy, Ahmed – ACM Transactions on Computing Education, 2022
Context: Computing Education Research (CER) is critical to help the computing education community and policy makers support the increasing population of students who need to learn computing skills for future careers. For a community to systematically advance knowledge about a topic, the members must be able to understand published work thoroughly…
Descriptors: Computer Science Education, Educational Research, Periodicals, Replication (Evaluation)
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Akdere, Mesut; Jiang, Yeling; Lobo, Flavio Destri – European Journal of Training and Development, 2022
Purpose: As new technologies such as immersive and augmented platforms emerge, training approaches are also transforming. The virtual reality (VR) platform provides a completely immersive learning experience for simulated training. Despite increased prevalence of these technologies, the extent literature is lagging behind in terms of evaluating…
Descriptors: Training, Computer Simulation, Educational Technology, Program Evaluation
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Gunduz, Ali; Gunduzalp, Cengiz; Kocka, Ömer; Goktas, Yüksel – Participatory Educational Research, 2023
This study investigates the trends of doctoral dissertations produced in Türkiye in the field of Educational Technologies. 292 doctoral dissertations were included in this study which was conducted in the design of document analysis in the period between 2011 and 2020. The dissertations were put to content analysis by using the Dissertation…
Descriptors: Educational Technology, Educational Research, Trend Analysis, Content Analysis
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Lingbo Tong; Wen Qu; Zhiyong Zhang – Grantee Submission, 2025
Factor analysis is widely utilized to identify latent factors underlying the observed variables. This paper presents a comprehensive comparative study of two widely used methods for determining the optimal number of factors in factor analysis, the K1 rule, and parallel analysis, along with a more recently developed method, the bass-ackward method.…
Descriptors: Factor Analysis, Monte Carlo Methods, Statistical Analysis, Sample Size
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Braun, Robert; Ravn, Tine; Frankus, Elisabeth – Research Ethics, 2020
In this paper we reflect on the looming question of what constitutes expertise in ethics. Based on an empirical program that involved qualitative and quantitative as well as participatory research elements we show that expertise in research ethics and integrity is based on experience in the assessment processes. We then connect traditional…
Descriptors: Integrity, Ethics, Participatory Research, Qualitative Research
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To, Jessica; Panadero, Ernesto; Carless, David – Assessment & Evaluation in Higher Education, 2022
The analysis of exemplars of different quality is a potentially powerful tool in enabling students to understand assessment expectations and appreciate academic standards. Through a systematic review methodology, this paper synthesises exemplar-based research designs, exemplar implementation and the educational effects of exemplars. The review of…
Descriptors: Research Design, Scoring Rubrics, Peer Evaluation, Self Evaluation (Individuals)
Jacob M. Schauer; Kaitlyn G. Fitzgerald; Sarah Peko-Spicer; Mena C. R. Whalen; Rrita Zejnullahi; Larry V. Hedges – Grantee Submission, 2021
Several programs of research have sought to assess the replicability of scientific findings in different fields, including economics and psychology. These programs attempt to replicate several findings and use the results to say something about large-scale patterns of replicability in a field. However, little work has been done to understand the…
Descriptors: Statistical Analysis, Research Methodology, Evaluation Methods, Replication (Evaluation)
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Reichardt, Charles S. – American Journal of Evaluation, 2022
Evaluators are often called upon to assess the effects of programs. To assess a program effect, evaluators need a clear understanding of how a program effect is defined. Arguably, the most widely used definition of a program effect is the counterfactual one. According to the counterfactual definition, a program effect is the difference between…
Descriptors: Program Evaluation, Definitions, Causal Models, Evaluation Methods
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Wind, Stefanie A.; Peterson, Meghan E. – Language Testing, 2018
The use of assessments that require rater judgment (i.e., rater-mediated assessments) has become increasingly popular in high-stakes language assessments worldwide. Using a systematic literature review, the purpose of this study is to identify and explore the dominant methods for evaluating rating quality within the context of research on…
Descriptors: Language Tests, Evaluators, Evaluation Methods, Interrater Reliability
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Riley, Barbara L.; Kernoghan, Alison; Stockton, Lisa; Montague, Steve; Yessis, Jennifer; Willis, Cameron D. – Research Evaluation, 2018
Assessing societal impacts of research is more difficult than assessing advances in knowledge. Methods to evaluate research impact on policy processes and outcomes are especially underdeveloped, and are needed to optimize the influence of research on policy for addressing complex issues such as chronic diseases. Contribution analysis (CA), a…
Descriptors: Foreign Countries, Evaluation Methods, Public Health, Research and Development Centers
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Ponce-Renova, Hector F. – Journal of New Approaches in Educational Research, 2022
This paper's objective was to teach the Equivalence Testing applied to Educational Research to emphasize recommendations and to increase quality of research. Equivalence Testing is a technique used to compare effect sizes or means of two different studies to ascertain if they would be statistically equivalent. For making accessible Equivalence…
Descriptors: Educational Research, Effect Size, Statistical Analysis, Intervals
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