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Weibel, Stephanie; Popp, Maria; Reis, Stefanie; Skoetz, Nicole; Garner, Paul; Sydenham, Emma – Research Synthesis Methods, 2023
Evidence synthesis findings depend on the assumption that the included studies follow good clinical practice and results are not fabricated or false. Studies which are problematic due to scientific misconduct, poor research practice, or honest error may distort evidence synthesis findings. Authors of evidence synthesis need transparent mechanisms…
Descriptors: Identification, Randomized Controlled Trials, Integrity, Evaluation Methods
Teague R. Henry; Zachary F. Fisher; Kenneth A. Bollen – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Model-Implied Instrumental Variable Two-Stage Least Squares (MIIV-2SLS) is a limited information, equation-by-equation, noniterative estimator for latent variable models. Associated with this estimator are equation-specific tests of model misspecification. One issue with equation-specific tests is that they lack specificity, in that they indicate…
Descriptors: Bayesian Statistics, Least Squares Statistics, Structural Equation Models, Equations (Mathematics)
Reiber, Fabiola; Pope, Harrison; Ulrich, Rolf – Sociological Methods & Research, 2023
Randomized response techniques (RRTs) are useful survey tools for estimating the prevalence of sensitive issues, such as the prevalence of doping in elite sports. One type of RRT, the unrelated question model (UQM), has become widely used because of its psychological acceptability for study participants and its favorable statistical properties.…
Descriptors: Surveys, Responses, Cheating, Deception
Anagha Vaidya; Sarika Sharma – Interactive Technology and Smart Education, 2024
Purpose: Course evaluations are formative and are used to evaluate learnings of the students for a course. Anomalies in the evaluation process can lead to a faulty educational outcome. Learning analytics and educational data mining provide a set of techniques that can be conveniently applied to extensive data collected as part of the evaluation…
Descriptors: Course Evaluation, Learning Analytics, Formative Evaluation, Information Retrieval
Balfe, Catherine; Button, Patrick; Penn, Mary; Schwegman, David J. – Field Methods, 2023
Audit correspondence studies are field experiments that test for discriminatory behavior in active markets. Researchers measure discrimination by comparing how responsive individuals ("audited units") are to correspondences from different types of people. This article elaborates on the tradeoffs researchers face between sending audited…
Descriptors: Field Studies, Experiments, Audits (Verification), Researchers
Mauer, Victoria; Savell, Shannon; Davis, Alida; Wilson, Melvin N.; Shaw, Daniel S.; Lemery-Chalfant, Kathryn – Journal of Early Adolescence, 2021
This study examined caregivers' longitudinal reports of adolescent multiracial categorization across the ages of 9.5, 10.5, and 14 years, and adolescents' reports of their own multiracial categorization at the age of 14 years. A portion of caregivers' reports of adolescent multiracial status were inconsistent across the years of the study; some…
Descriptors: Adolescents, Multiracial Persons, Classification, Identification
Drimer-Batca, Daniel; Iaccarino, Jonathan M.; Fine, Alan – Research Ethics, 2019
In order to assess the status of retraction notices for publications involving research misconduct, we collected and analyzed information from the Office of Research Integrity website. This site lists confirmed instances of misconduct in research supported by the National Institutes of Health. Over a 10-year period, 200 publications derived from…
Descriptors: Biomedicine, Ethics, Research Problems, Publications
Doroudi, Shayan; Brunskill, Emma – International Educational Data Mining Society, 2017
In this paper, we investigate two purported problems with Bayesian Knowledge Tracing (BKT), a popular statistical model of student learning: "identifiability" and "semantic model degeneracy." In 2007, Beck and Chang stated that BKT is susceptible to an "identifiability problem"--various models with different…
Descriptors: Bayesian Statistics, Research Problems, Models, Learning
Doroudi, Shayan; Brunskill, Emma – Grantee Submission, 2017
In this paper, we investigate two purported problems with Bayesian Knowledge Tracing (BKT), a popular statistical model of student learning: "identifiability" and "semantic model degeneracy." In 2007, Beck and Chang stated that BKT is susceptible to an "identifiability problem"--various models with different…
Descriptors: Bayesian Statistics, Research Problems, Statistical Analysis, Models

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