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Patriota, Alexandre Galvão – Educational and Psychological Measurement, 2017
Bayesian and classical statistical approaches are based on different types of logical principles. In order to avoid mistaken inferences and misguided interpretations, the practitioner must respect the inference rules embedded into each statistical method. Ignoring these principles leads to the paradoxical conclusions that the hypothesis…
Descriptors: Hypothesis Testing, Bayesian Statistics, Statistical Inference, Statistical Analysis
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Ding, Cherng G.; Jane, Ten-Der; Wu, Chiu-Hui; Lin, Hang-Rung; Shen, Chih-Kang – International Journal of Behavioral Development, 2017
It has been pointed out in the literature that misspecification of the level-1 error covariance structure in latent growth modeling (LGM) has detrimental impacts on the inferences about growth parameters. Since correct covariance structure is difficult to specify by theory, the identification needs to rely on a specification search, which,…
Descriptors: Statistical Analysis, Statistical Inference, Systems Approach, Sample Size
Mistler, Stephen A.; Enders, Craig K. – Journal of Educational and Behavioral Statistics, 2017
Multiple imputation methods can generally be divided into two broad frameworks: joint model (JM) imputation and fully conditional specification (FCS) imputation. JM draws missing values simultaneously for all incomplete variables using a multivariate distribution, whereas FCS imputes variables one at a time from a series of univariate conditional…
Descriptors: Statistical Analysis, Comparative Analysis, Hierarchical Linear Modeling, Computer Simulation
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Balkin, Richard S.; Richey Gosnell, Katelyn M.; Holmgren, Andrew; Osborne, Jason W. – Measurement and Evaluation in Counseling and Development, 2017
Nonlinear effects are both underreported and underrepresented in counseling research. We provide a rationale for evaluating nonlinear effects and steps to evaluate nonlinear relationships in counseling research. Two heuristic examples are provided along with discussion of the results and advantages to evaluating nonlinear effects.
Descriptors: Counseling, Research, Evaluation Methods, Heuristics
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Luo, Shi-Jian; Dong, Ye-Nan – International Journal of Technology and Design Education, 2017
Inspiration plays an important role in the design activities and design education. This paper describes "ancient cultural artefacts" as "cultural inspiration," consisting of two types called "cultural-pictorial inspiration" (CPI) and "cultural-textual inspiration" (CTI). This study aims to test the important…
Descriptors: Design, Cultural Awareness, Cultural Influences, Statistical Analysis
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Shaw, Stephanie M.; Martino, Rosemary; Mahdi, Ali; Sawyer, Forrest Kip; Mathur, Sunita; Hope, Andrew; Agur, Anne M. – Journal of Speech, Language, and Hearing Research, 2017
Purpose: Suprahyoid muscles play a critical role in swallowing. The arrangement of the fiber bundles and aponeuroses has not been investigated volumetrically, even though muscle architecture is an important determinant of function. Thus, the purpose was to digitize, model in three dimensions, and quantify the architectural parameters of the…
Descriptors: Human Body, Motor Reactions, Computer Simulation, Statistical Analysis
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Travers, Jason C.; Cook, Bryan G.; Cook, Lysandra – Learning Disabilities Research & Practice, 2017
"p" values are commonly reported in quantitative research, but are often misunderstood and misinterpreted by research consumers. Our aim in this article is to provide special educators with guidance for appropriately interpreting "p" values, with the broader goal of improving research consumers' understanding and interpretation…
Descriptors: Statistical Analysis, Special Education, Research, Hypothesis Testing
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Jan, Show-Li; Shieh, Gwowen – Journal of Educational and Behavioral Statistics, 2017
Equivalence assessment is becoming an increasingly important topic in many application areas including behavioral and social sciences research. Although there exist more powerful tests, the two one-sided tests (TOST) procedure is a technically transparent and widely accepted method for establishing statistical equivalence. Alternatively, a direct…
Descriptors: Sample Size, Statistical Analysis, Computer Software, Costs
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Wang, Yan; Rodríguez de Gil, Patricia; Chen, Yi-Hsin; Kromrey, Jeffrey D.; Kim, Eun Sook; Pham, Thanh; Nguyen, Diep; Romano, Jeanine L. – Educational and Psychological Measurement, 2017
Various tests to check the homogeneity of variance assumption have been proposed in the literature, yet there is no consensus as to their robustness when the assumption of normality does not hold. This simulation study evaluated the performance of 14 tests for the homogeneity of variance assumption in one-way ANOVA models in terms of Type I error…
Descriptors: Comparative Analysis, Statistical Analysis, Robustness (Statistics), Observation
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Harbaugh, Allen G.; Liu, Min – AERA Online Paper Repository, 2017
This research examines the effects of single-value response style contamination on measures of model fit and model convergence issues. A simulation study examines the effects resulting from percentage of contamination, number of manifest, number of reverse coded items, magnitude of standardized factor loadings, response scale granularity, and…
Descriptors: Goodness of Fit, Sample Size, Statistical Analysis, Test Format
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Wolfe, Katie; Dickenson, Tammiee S.; McGrath, Kathleen Virginia; Miller, Bridget – AERA Online Paper Repository, 2017
Although visual analysis has been the primary method of analysis in single-case designs (SCD), numerous statistical analyses have been developed to quantify SCD intervention effects and enable SCDs to be included in evidence-based practice reviews. This study investigated the correspondence between expert visual analysis and three effect sizes for…
Descriptors: Research Design, Statistical Analysis, Effect Size, Graphs
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Huang, Hung-Yu – Educational and Psychological Measurement, 2020
In educational assessments and achievement tests, test developers and administrators commonly assume that test-takers attempt all test items with full effort and leave no blank responses with unplanned missing values. However, aberrant response behavior--such as performance decline, dropping out beyond a certain point, and skipping certain items…
Descriptors: Item Response Theory, Response Style (Tests), Test Items, Statistical Analysis
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Page, Lindsay C.; Lenard, Matthew A.; Keele, Luke – AERA Open, 2020
Clustered observational studies (COSs) are a critical analytic tool for educational effectiveness research. We present a design framework for the development and critique of COSs. The framework is built on the counterfactual model for causal inference and promotes the concept of designing COSs that emulate the targeted randomized trial that would…
Descriptors: Educational Research, Observation, Research Design, Statistical Analysis
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Barnow, Burt S.; Greenberg, David H. – American Journal of Evaluation, 2020
This paper reviews the use of multiple trials, defined as multiple sites or multiple arms in a single evaluation and replications, in evaluating social programs. After defining key terms, the paper discusses the rationales for conducting multiple trials, which include increasing sample size to increase statistical power; identifying the most…
Descriptors: Evaluation, Randomized Controlled Trials, Experiments, Replication (Evaluation)
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Baumer, Benjamin S.; Bray, Andrew P.; Çetinkaya-Rundel, Mine; Hardin, Johanna S. – Journal of Statistics Education, 2020
We designed a sequence of courses for the DataCamp online learning platform that approximates the content of a typical introductory statistics course. We discuss the design and implementation of these courses and illustrate how they can be successfully integrated into a brick-and-mortar class. We reflect on the process of creating content for…
Descriptors: Statistical Analysis, Statistics, Introductory Courses, Teaching Methods
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