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Sideridis, Georgios D.; Jaffari, Fathima – Measurement and Evaluation in Counseling and Development, 2022
The present study describes an R function that implements six corrective procedures developed by Bartlett, Swain, and Yuan in the correction of 21 statistics associated with the omnibus Chi-square test, the residuals, or fit indices in confirmatory factor analysis (CFA) and structural equation modeling (SEM).
Descriptors: Statistical Analysis, Goodness of Fit, Factor Analysis, Structural Equation Models
Traci Kutaka; Pavel Chernyavskiy; Carson Keeter; Julie Sarama; Douglas Clements – Society for Research on Educational Effectiveness, 2021
Background: Data on children's ability to answer assessment questions correctly paints an incomplete portrait of what they know and can do mathematically; yet, it remains a common basis for program evaluation. Indeed, pre-post-assessment correctness is necessary but insufficient evidence for making inferences about learning and program…
Descriptors: Kindergarten, Learning Trajectories, Learning Strategies, Thinking Skills
Hayes, Timothy; Usami, Satoshi – Educational and Psychological Measurement, 2020
Recently, quantitative researchers have shown increased interest in two-step factor score regression (FSR) approaches to structural model estimation. A particularly promising approach proposed by Croon involves first extracting factor scores for each latent factor in a larger model, then correcting the variance-covariance matrix of the factor…
Descriptors: Regression (Statistics), Structural Equation Models, Statistical Bias, Correlation
Sauder, Derek; DeMars, Christine – Applied Measurement in Education, 2020
We used simulation techniques to assess the item-level and familywise Type I error control and power of an IRT item-fit statistic, the "S-X"[superscript 2]. Previous research indicated that the "S-X"[superscript 2] has good Type I error control and decent power, but no previous research examined familywise Type I error control.…
Descriptors: Item Response Theory, Test Items, Sample Size, Test Length
Nguyen, Trang Quynh; Stuart, Elizabeth A. – Journal of Educational and Behavioral Statistics, 2020
We address measurement error bias in propensity score (PS) analysis due to covariates that are latent variables. In the setting where latent covariate X is measured via multiple error-prone items W, PS analysis using several proxies for X--the W items themselves, a summary score (mean/sum of the items), or the conventional factor score (i.e.,…
Descriptors: Error of Measurement, Statistical Bias, Error Correction, Probability
Rachatasumrit, Napol; Koedinger, Kenneth R. – International Educational Data Mining Society, 2021
Student modeling is useful in educational research and technology development due to a capability to estimate latent student attributes. Widely used approaches, such as the Additive Factors Model (AFM), have shown satisfactory results, but they can only handle binary outcomes, which may yield potential information loss. In this work, we propose a…
Descriptors: Models, Student Characteristics, Feedback (Response), Error Correction
Nicewander, W. Alan – Educational and Psychological Measurement, 2018
Spearman's correction for attenuation (measurement error) corrects a correlation coefficient for measurement errors in either-or-both of two variables, and follows from the assumptions of classical test theory. Spearman's equation removes all measurement error from a correlation coefficient which translates into "increasing the reliability of…
Descriptors: Error of Measurement, Correlation, Sample Size, Computation
Bonet, Nicolás; Garcés, Kelly; Casallas, Rubby; Correal, María Elsa; Wei, Ran – Computer Science Education, 2018
Bad smells affect maintainability and performance of model-to-model transformations. There are studies that define a set of transformation bad smells, and some of them propose techniques to recognize and--according to their complexity--fix them in a (semi)automated way. In academia it is necessary to make students aware of this subject and provide…
Descriptors: Foreign Countries, Graduate Students, Masters Programs, Programming
Kamiya, Nobuhiro – TESL-EJ, 2018
Second and foreign language teachers often say that they correct students' oral errors "naturally" in their classes. In fact, the operationalization of incidental oral corrective feedback also states that it arises "naturally" in a communicative task. This notion was confirmed in a study that I conducted with four ESL teachers…
Descriptors: Oral Language, Feedback (Response), Incidental Learning, Learning Processes
Williams, David M.; Bergström, Zara; Grainger, Catherine – Autism: The International Journal of Research and Practice, 2018
Among neurotypical adults, errors made with high confidence (i.e. errors a person strongly believed they would not make) are corrected more reliably than errors made with low confidence. This 'hypercorrection effect' is thought to result from enhanced attention to information that reflects a 'metacognitive mismatch' between one's beliefs and…
Descriptors: Metacognition, Autism, Pervasive Developmental Disorders, Bayesian Statistics
Yang, Chunliang; Potts, Rosalind; Shanks, David R. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
Generating errors followed by corrective feedback enhances retention more effectively than does reading--the benefit of errorful generation--but people tend to be unaware of this benefit. The current research explored this metacognitive unawareness, its effect on self-regulated learning, and how to alleviate or reverse it. People's beliefs about…
Descriptors: Metacognition, Learning Strategies, Retention (Psychology), Feedback (Response)
Phillips, Gary W.; Jiang, Tao – Practical Assessment, Research & Evaluation, 2016
Power analysis is a fundamental prerequisite for conducting scientific research. Without power analysis the researcher has no way of knowing whether the sample size is large enough to detect the effect he or she is looking for. This paper demonstrates how psychometric factors such as measurement error and equating error affect the power of…
Descriptors: Error of Measurement, Statistical Analysis, Equated Scores, Sample Size
Engür, Doruk – Educational Research and Reviews, 2018
The effective ways of error correction in teaching musical harmony have been neglected. Making students realize their mistakes and have them think over them are assumed to be helpful in harmony teaching. In this sense, correction code technique is thought to be beneficial for students to realize their mistakes and solve them on their own. Forty…
Descriptors: Music Education, Error Correction, Music, Feedback (Response)
Fuentes, Steven – ProQuest LLC, 2017
Usability heuristics have been established for different uses and applications as general guidelines for user interfaces. These can affect the implementation of industry solutions and play a significant role regarding cost reduction and process efficiency. The area of electronic workflow document management (EWDM) solutions, also known as…
Descriptors: Usability, Heuristics, Documentation, Information Management
Rich, Patrick R.; Zaragoza, Maria S. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
The piecemeal reporting of unfolding news events can lead to the reporting of mistaken information (or misinformation) about the cause of the newsworthy event, which later needs to be corrected. Studies of the "continued influence effect" have shown, however, that corrections are not entirely effective in reversing the effects of initial…
Descriptors: Experimental Psychology, News Reporting, Misconceptions, Error Correction