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Alireza Akbari; Mohammadtaghi Shahnazari – Journal of Applied Research in Higher Education, 2025
Purpose: The primary objective of this research paper was to examine the objectivity of the preselected items evaluation (PIE) method, a prevalent translation scoring method deployed by international institutions such as UAntwerpen, UGent and the University of Granada. Design/methodology/approach: This research critically analyzed the scientific…
Descriptors: Evaluation Methods, Translation, Difficulty Level, Validity
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Megan Lee; Danielle Augustine; Melinda Moore – Field Methods, 2025
Narratives that dominant the discourse of the experiences of people of color, specifically in education settings, are incomplete. Therefore, identifying methodological approaches that emphasize the perspectives of minoritized groups is essential. Counternarratives have been applied to help (re)tell stories of the oppressed to challenge dominant…
Descriptors: Minority Groups, Critical Race Theory, Perspective Taking, Ethnicity
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Yinying Wang; Joonkil Ahn – Educational Management Administration & Leadership, 2025
School leadership research literature has a large number of widely used constructs. Could fewer constructs bring more clarity? This study evaluates construct content validity, defined as the extent to which a measure's items reflect a theoretical content domain, in school leadership literature. To do so, we reviewed 29 articles that used Teaching…
Descriptors: Network Analysis, Construct Validity, Content Validity, Instructional Leadership
Xiangyi Liao – ProQuest LLC, 2024
Educational research outcomes frequently rely on an assumption that measurement metrics have interval-level properties. While most investigators know enough to be suspicious of interval-level claims, and in some cases even question their findings given such doubts, there is a lack of understanding regarding the measurement conditions that create…
Descriptors: Item Response Theory, Educational Research, Measurement, Evaluation Methods
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Zachary K. Collier; Minji Kong; Olushola Soyoye; Kamal Chawla; Ann M. Aviles; Yasser Payne – Journal of Educational and Behavioral Statistics, 2024
Asymmetric Likert-type items in research studies can present several challenges in data analysis, particularly concerning missing data. These items are often characterized by a skewed scaling, where either there is no neutral response option or an unequal number of possible positive and negative responses. The use of conventional techniques, such…
Descriptors: Likert Scales, Test Items, Item Analysis, Evaluation Methods
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Yuan Tian; Xi Yang; Suhail A. Doi; Luis Furuya-Kanamori; Lifeng Lin; Joey S. W. Kwong; Chang Xu – Research Synthesis Methods, 2024
RobotReviewer is a tool for automatically assessing the risk of bias in randomized controlled trials, but there is limited evidence of its reliability. We evaluated the agreement between RobotReviewer and humans regarding the risk of bias assessment based on 1955 randomized controlled trials. The risk of bias in these trials was assessed via two…
Descriptors: Risk, Randomized Controlled Trials, Classification, Robotics
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Dongho Shin – Grantee Submission, 2024
We consider Bayesian estimation of a hierarchical linear model (HLM) from small sample sizes. The continuous response Y and covariates C are partially observed and assumed missing at random. With C having linear effects, the HLM may be efficiently estimated by available methods. When C includes cluster-level covariates having interactive or other…
Descriptors: Bayesian Statistics, Computation, Hierarchical Linear Modeling, Data Analysis
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Zi-Gang Ge; Yuanyuan Zhao; Yong Liu – Journal of Pedagogical Research, 2024
This paper tries to probe the common quality issues in academic master theses of education majors and propose some possible countermeasures. The study sampled and evaluated 275 academic master theses of education majors in China to examine common quality issues in them, and used a questionnaire to survey 210 academic master's degree candidates of…
Descriptors: Education Majors, Masters Theses, Graduate Students, Evaluation Methods
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Ben Kelcey; Fangxing Bai; Amota Ataneka; Yanli Xie; Kyle Cox – Society for Research on Educational Effectiveness, 2024
We develop a structural after measurement (SAM) method for structural equation models (SEMs) that accommodates missing data. The results show that the proposed SAM missing data estimator outperforms conventional full information (FI) estimators in terms of convergence, bias, and root-mean-square-error in small-to-moderate samples or large samples…
Descriptors: Structural Equation Models, Research Problems, Error of Measurement, Maximum Likelihood Statistics