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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
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
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
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
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
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
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
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
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
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
Peng Ding; Jiannan Lu – Grantee Submission, 2017
Practitioners are interested in not only the average causal effect of a treatment on the outcome but also the underlying causal mechanism in the presence of an intermediate variable between the treatment and outcome. However, in many cases we cannot randomize the intermediate variable, resulting in sample selection problems even in randomized…
Descriptors: Principals, Social Stratification, Scores, Causal Models
Mander, David J.; Lester, Leanne – Educational and Developmental Psychologist, 2023
Objective: To explore the symptomatic features of homesickness in Australian adolescent males during their first year at boarding school, as well as its dimensionality, coping strategies, and the relationship with academic, resilience, emotional and mental health factors. Method: Drawing on a larger, longitudinal study (n = 174 students), survey…
Descriptors: Measurement Techniques, Student Adjustment, Psychological Patterns, Foreign Countries
Da Yan – Assessment & Evaluation in Higher Education, 2024
The aim of the study was to examine the effects of rubric co-creation on peer feedback. From a social constructivist perspective, rubric co-creation might have the ability to promote the quality of feedback messages, interactivities within feedback processes, and uptake of feedback information in a peer-based collaborative setting of higher…
Descriptors: Foreign Countries, Scoring Rubrics, Peer Evaluation, Peer Relationship
Zubaida Shraim; Assile AlAmili; Shaikha Al Shehhi; Zeina Hojeij – Cogent Education, 2024
The United Arab Emirates (UAE) aims to improve its education sector by recruiting qualified and diverse student teachers. Therefore, the aim of this study was to examine the factors affecting student motivation to enroll in colleges of education. Using simple random sampling, a total of 199 consenting students were recruited to participate in this…
Descriptors: Foreign Countries, Education Majors, Schools of Education, Student Motivation

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