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John R. Donoghue; Carol Eckerly – Applied Measurement in Education, 2024
Trend scoring constructed response items (i.e. rescoring Time A responses at Time B) gives rise to two-way data that follow a product multinomial distribution rather than the multinomial distribution that is usually assumed. Recent work has shown that the difference in sampling model can have profound negative effects on statistics usually used to…
Descriptors: Scoring, Error of Measurement, Reliability, Scoring Rubrics
Richard S. Balkin; Quentin Hunter; Bradley T. Erford – Measurement and Evaluation in Counseling and Development, 2024
We describe best practices in reporting reliability estimates in counseling research with consideration to precision, generalization, and diverse populations. We provide a historical context to reporting reliability estimates, the limitations of past practices, and new methods to address reliability generalization. We highlight best practices…
Descriptors: Best Practices, Reliability, Counseling, Research
Franco-Martínez, Alicia; Alvarado, Jesús M.; Sorrel, Miguel A. – Educational and Psychological Measurement, 2023
A sample suffers range restriction (RR) when its variance is reduced comparing with its population variance and, in turn, it fails representing such population. If the RR occurs over the latent factor, not directly over the observed variable, the researcher deals with an indirect RR, common when using convenience samples. This work explores how…
Descriptors: Factor Analysis, Factor Structure, Scores, Sampling
Donoghue, John R.; McClellan, Catherine A.; Hess, Melinda R. – ETS Research Report Series, 2022
When constructed-response items are administered for a second time, it is necessary to evaluate whether the current Time B administration's raters have drifted from the scoring of the original administration at Time A. To study this, Time A papers are sampled and rescored by Time B scorers. Commonly the scores are compared using the proportion of…
Descriptors: Item Response Theory, Test Construction, Scoring, Testing
Pere J. Ferrando; David Navarro-González; Fabia Morales-Vives – Educational and Psychological Measurement, 2025
The problem of local item dependencies (LIDs) is very common in personality and attitude measures, particularly in those that measure narrow-bandwidth dimensions. At the structural level, these dependencies can be modeled by using extended factor analytic (FA) solutions that include correlated residuals. However, the effects that LIDs have on the…
Descriptors: Scores, Accuracy, Evaluation Methods, Factor Analysis
Ozgul, Fatih; Kangalgil, Murat; Diker, Gurkan; Yamen, Erturk – European Journal of Educational Research, 2018
The aim of this research is to evaluate the constructivist learning environments of physical education and sport teacher candidates. For this purpose, 928 students (523 male, 405 female) selected by the appropriate sampling method from the Physical Education and Sport Teaching Department of 17 universities consisted the sample of the research. In…
Descriptors: Physical Education, Physical Education Teachers, Scores, Constructivism (Learning)
Isgör, Isa Yücel – Journal of Education and Training Studies, 2016
The purpose of this research was to investigate the predicting effect of high school students' metacognitive skills, exam anxiety and academic success levels upon their psychological well-being in a provincial center with a medium-scale population in Eastern Anatolian Region. The research group included totally 251 high school students including…
Descriptors: Well Being, Metacognition, Thinking Skills, Academic Achievement
Loyce, Onyali Chiedozie; Victor, Akinfolarin Akinwale – Online Submission, 2017
This study ascertained the principals' application of instructional leadership practices for secondary school effectiveness in Oyo State. Two research questions guided the study and two null hypotheses were tested. The descriptive survey research design was adopted for the study. The population of the study comprised 8,701 which were made of 969…
Descriptors: Principals, Instructional Leadership, Sampling, Questionnaires
Rapp, John T.; Carroll, Regina A.; Stangeland, Lindsay; Swanson, Greg; Higgins, William J. – Behavior Modification, 2011
The authors evaluated the extent to which interobserver agreement (IOA) scores, using the block-by-block method for events scored with continuous duration recording (CDR), were higher when the data from the same sessions were converted to discontinuous methods. Sessions with IOA scores of 89% or less with CDR were rescored using 10-s partial…
Descriptors: Intervals, Sampling, Comparative Analysis, Measures (Individuals)
Dziuban, Charles; Moskal, Patsy; Thompson, Jessica; Kramer, Lauren; DeCantis, Genevieve; Hermsdorfer, Andrea – Online Learning, 2015
The authors explore the possible relationship between student satisfaction with online learning and the theory of psychological contracts. The study incorporates latent trait models using the image analysis procedure and computation of Anderson and Rubin factors scores with contrasts for students who are satisfied, ambivalent, or dissatisfied with…
Descriptors: Student Attitudes, Online Courses, Scores, Learning Experience
Mcmillen, Shelley R. – ProQuest LLC, 2017
Due to the growing importance of the professional role of teachers, effective evaluation practices are essential to ensuring highly qualified educators. The problem addressed was how Volusia County School teachers in the state of Florida experienced the teacher evaluation process and how that impacted the effectiveness of instructional practices…
Descriptors: Teacher Evaluation, Case Studies, Teacher Role, Teaching Methods
Reardon, Sean F.; Ho, Andrew D. – Journal of Educational and Behavioral Statistics, 2015
In an earlier paper, we presented methods for estimating achievement gaps when test scores are coarsened into a small number of ordered categories, preventing fine-grained distinctions between individual scores. We demonstrated that gaps can nonetheless be estimated with minimal bias across a broad range of simulated and real coarsened data…
Descriptors: Achievement Gap, Performance Factors, Educational Practices, Scores
Reardon, Sean F.; Ho, Andrew D. – Grantee Submission, 2015
Ho and Reardon (2012) present methods for estimating achievement gaps when test scores are coarsened into a small number of ordered categories, preventing fine-grained distinctions between individual scores. They demonstrate that gaps can nonetheless be estimated with minimal bias across a broad range of simulated and real coarsened data…
Descriptors: Achievement Gap, Performance Factors, Educational Practices, Scores
Boller, Kimberly; Kisker, Ellen Eliason – Regional Educational Laboratory, 2014
This guide is designed to help researchers make sure that their research reports include enough information about study measures so that readers can assess the quality of the study's methods and results. The guide also provides examples of write-ups about measures and suggests resources for learning more about these topics. The guide assumes…
Descriptors: Research Reports, Research Methodology, Educational Research, Check Lists
Zimmerman, Donald W. – Journal of Educational and Behavioral Statistics, 2011
Many well-known equations in classical test theory are mathematical identities in populations of individuals but not in random samples from those populations. First, test scores are subject to the same sampling error that is familiar in statistical estimation and hypothesis testing. Second, the assumptions made in derivation of formulas in test…
Descriptors: Test Theory, Equations (Mathematics), Scores, Sampling

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