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Cox, Kyle; Kelcey, Benjamin – Journal of Experimental Education, 2019
We derive sample-allocation formulas that maximize the power of several mediation tests in two-level-group-randomized studies under a linear cost structure and fixed budget. The results suggest that the optimal individual sample size is typically smaller than that associated with the detection of a main effect and is frequently less than 10 under…
Descriptors: Sample Size, Statistical Analysis, Costs, Monte Carlo Methods
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No, Unkyung; Hong, Sehee – Educational and Psychological Measurement, 2018
The purpose of the present study is to compare performances of mixture modeling approaches (i.e., one-step approach, three-step maximum-likelihood approach, three-step BCH approach, and LTB approach) based on diverse sample size conditions. To carry out this research, two simulation studies were conducted with two different models, a latent class…
Descriptors: Sample Size, Classification, Comparative Analysis, Statistical Analysis
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Samar Tfaili – International Society for Technology, Education, and Science, 2023
The main purpose of this study is to assess pre-service and public elementary mathematics school teachers' conceptual understanding and computational abilities of fractions. 20 pre-service mathematics teachers and 24 in-service mathematics teachers participated in this study. In-service teachers were divided into two categories; one for teachers…
Descriptors: Fractions, Preservice Teachers, Teacher Education Programs, Comparative Analysis
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Soland, James; Thum, Yeow Meng – Journal of Research on Educational Effectiveness, 2022
Sources of longitudinal achievement data are increasing thanks partially to the expansion of available interim assessments. These tests are often used to monitor the progress of students, classrooms, and schools within and across school years. Yet, few statistical models equipped to approximate the distinctly seasonal patterns in the data exist,…
Descriptors: Academic Achievement, Longitudinal Studies, Data Use, Computation
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Önen, Emine – Universal Journal of Educational Research, 2019
This simulation study was conducted to compare the performances of Frequentist and Bayesian approaches in the context of power to detect model misspecification in terms of omitted cross-loading in CFA models with respect to the several variables (number of omitted cross-loading, magnitude of main loading, number of factors, number of indicators…
Descriptors: Factor Analysis, Bayesian Statistics, Comparative Analysis, Statistical Analysis
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Ginat, David – Informatics in Education, 2021
The notion of algorithm may be perceived in different levels of abstraction. In the lower levels it is an operational set of instructions. In higher levels it may be viewed as an object with properties, solving a problem with characteristics. Novices mostly relate to the lower levels. Yet, higher levels are very relevant for them as well. We…
Descriptors: Problem Solving, Computation, Comparative Analysis, Competence
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Rios, Joseph A.; Guo, Hongwen; Mao, Liyang; Liu, Ou Lydia – International Journal of Testing, 2017
When examinees' test-taking motivation is questionable, practitioners must determine whether careless responding is of practical concern and if so, decide on the best approach to filter such responses. As there has been insufficient research on these topics, the objectives of this study were to: a) evaluate the degree of underestimation in the…
Descriptors: Response Style (Tests), Scores, Motivation, Computation
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Ning, Ling; Luo, Wen – Journal of Experimental Education, 2018
Piecewise GMM with unknown turning points is a new procedure to investigate heterogeneous subpopulations' growth trajectories consisting of distinct developmental phases. Unlike the conventional PGMM, which relies on theory or experiment design to specify turning points a priori, the new procedure allows for an optimal location of turning points…
Descriptors: Statistical Analysis, Models, Classification, Comparative Analysis
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Green, Samuel; Xu, Yuning; Thompson, Marilyn S. – Educational and Psychological Measurement, 2018
Parallel analysis (PA) assesses the number of factors in exploratory factor analysis. Traditionally PA compares the eigenvalues for a sample correlation matrix with the eigenvalues for correlation matrices for 100 comparison datasets generated such that the variables are independent, but this approach uses the wrong reference distribution. The…
Descriptors: Factor Analysis, Accuracy, Statistical Distributions, Comparative Analysis
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Haans, Antal – Practical Assessment, Research & Evaluation, 2018
Contrast analysis is a relatively simple but effective statistical method for testing theoretical predictions about differences between group means against the empirical data. Despite its advantages, contrast analysis is hardly used to date, perhaps because it is not implemented in a convenient manner in many statistical software packages. This…
Descriptors: Comparative Analysis, Statistical Analysis, Matrices, Computer Software
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Komboz, Basil; Strobl, Carolin; Zeileis, Achim – Educational and Psychological Measurement, 2018
Psychometric measurement models are only valid if measurement invariance holds between test takers of different groups. Global model tests, such as the well-established likelihood ratio (LR) test, are sensitive to violations of measurement invariance, such as differential item functioning and differential step functioning. However, these…
Descriptors: Item Response Theory, Models, Tests, Measurement
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Posid, Tasha; Cordes, Sara – Developmental Psychology, 2018
While much research has focused on understanding the process by which young children learn to count, little work has explored the effects of direct instruction on this process. In the current study, we explored the impacts of training children in an explicit counting procedure on two distinct cardinality tasks. Two- to 5-year-old children first…
Descriptors: Computation, Direct Instruction, Young Children, Instructional Effectiveness
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Kim, Kyung Yong; Lee, Won-Chan – Applied Measurement in Education, 2017
This article provides a detailed description of three factors (specification of the ability distribution, numerical integration, and frame of reference for the item parameter estimates) that might affect the item parameter estimation of the three-parameter logistic model, and compares five item calibration methods, which are combinations of the…
Descriptors: Test Items, Item Response Theory, Comparative Analysis, Methods
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Hwang, Wu-Yuin; Hoang, Anh; Tu, Ya-Han – Asia-Pacific Education Researcher, 2020
Although geometry is important and strongly related to our surroundings, students still have few chances to learn it through practicing in authentic contexts. Therefore, ubiquitous geometric (UG) APP in mobile devices was developed in this study and allowed students to apply and practice geometry in authentic contexts. This study focused on the…
Descriptors: Geometry, Mathematics Instruction, Telecommunications, Handheld Devices
Keslair, François; Paccagnella, Marco – OECD Publishing, 2020
This paper illustrates similarities and differences between two international surveys that assess adults' skills: the Programme for the International Assessment of Adult Competencies (PIAAC) and the Skills Towards Employment and Productivity (STEP) survey. In particular, the paper highlights the issues that can arise for researchers interested to…
Descriptors: Adults, Skills, Surveys, Global Approach
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