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Hayden, Robert W. – Journal of Statistics Education, 2019
Recent years have seen increasing interest in incorporating resampling methods into introductory statistics courses and the high school mathematics curriculum. While the use of permutation tests for data from experiments is a step forward, the use of simple bootstrap methods for sampling situations is more problematical. This article demonstrates…
Descriptors: Sampling, Statistical Inference, Introductory Courses, College Mathematics
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Guo, Hongwen; Dorans, Neil J. – ETS Research Report Series, 2019
The Mantel-Haenszel delta difference (MH D-DIF) and the standardized proportion difference (STD P-DIF) are two observed-score methods that have been used to assess differential item functioning (DIF) at Educational Testing Service since the early 1990s. Latentvariable approaches to assessing measurement invariance at the item level have been…
Descriptors: Test Bias, Educational Testing, Statistical Analysis, Item Response Theory
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Sahin, Murat Dogan; Aybek, Eren Can – International Journal of Assessment Tools in Education, 2019
This report aims to introduce the fundamental features of the free Jamovi software to academics in the field of educational measurement for use at undergraduate and graduate level research. As such, after introducing the R based interface and the integrated development environment, the core functions of Jamovi are presented, the installation for…
Descriptors: Computer Software, Statistical Analysis, Meta Analysis, Bayesian Statistics
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Oleson, Jacob J.; Brown, Grant D.; McCreery, Ryan – Journal of Speech, Language, and Hearing Research, 2019
Purpose: Clinicians depend on the accuracy of research in the speech, language, and hearing sciences to improve assessment and treatment of patients with communication disorders. Although this work has contributed to great advances in clinical care, common statistical misconceptions remain, which deserve closer inspection in the field. Challenges…
Descriptors: Statistics, Speech Language Pathology, Research, Statistical Analysis
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Xiao, ZhiMin; Higgins, Steve; Kasim, Adetayo – Journal of Experimental Education, 2019
Lord's Paradox occurs when a continuous covariate is statistically controlled for and the relationship between a continuous outcome and group status indicator changes in both magnitude and direction. This phenomenon poses a challenge to the notion of evidence-based policy, where data are supposed to be self-evident. We examined 50 effect size…
Descriptors: Statistical Analysis, Decision Making, Research Methodology, Scores
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Cook, Jessica; Chen, Cuixian; Reid-Griffin, Angelia – Journal of Effective Teaching in Higher Education, 2019
In a society where first hand work experience is greatly valued many universities or institutions of higher education have designed their Quality enhancement plan (QEP) to address student applied learning. This paper is the results of a university's QEP plan, called Experiencing Transformative Education Through Applied Learning or ETEAL. This…
Descriptors: Experiential Learning, Learning Analytics, College Students, Statistical Analysis
Hedges, Larry V.; Schauer, Jacob M. – Grantee Submission, 2019
Formal empirical assessments of replication have recently become more prominent in several areas of science, including psychology. These assessments have used different statistical approaches to determine if a finding has been replicated. The purpose of this article is to provide several alternative conceptual frameworks that lead to different…
Descriptors: Statistical Analysis, Replication (Evaluation), Meta Analysis, Hypothesis Testing
Peng Ding; Luke W. Miratrix – Grantee Submission, 2019
For binary experimental data, we discuss randomization-based inferential procedures that do not need to invoke any modeling assumptions. We also introduce methods for likelihood and Bayesian inference based solely on the physical randomization without any hypothetical super population assumptions about the potential outcomes. These estimators have…
Descriptors: Causal Models, Statistical Inference, Randomized Controlled Trials, Bayesian Statistics
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Sims, Sam; Anders, Jake; Zieger, Laura – Journal of Research on Educational Effectiveness, 2022
Comparative interrupted time series (CITS) designs evaluate impact by modeling the relative deviation from trends among a treatment and comparison group after an intervention. The broad applicability of the design means it is widely used in education research. Like all non-experimental evaluation methods however, the internal validity of a given…
Descriptors: Validity, Comparative Analysis, Statistical Analysis, Intervention
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Merchant, Stefan; Rich, Jessica; Klinger, Don A. – Canadian Journal of Educational Administration and Policy, 2022
Both school and district administrators use the results of standardized, large-scale tests to inform decisions about the need for, or success of, educational programs and interventions. However, test results at the school level are subject to random fluctuations due to changes in cohort, test items, and other factors outside of the school's…
Descriptors: Standardized Tests, Foreign Countries, Generalizability Theory, Scores
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Chae, Nancy; Backer, Adrienne; Mullen, Patrick R.; Cakmak, Zeynep – Professional School Counseling, 2022
The purpose of this article is to provide a resource for school counselors to recognize key indicators of quality quantitative research and make informed decisions about incorporating scholarly works into school counseling practice and comprehensive program development. We describe quality indicators of quantitative research by walking readers…
Descriptors: School Counselors, Research Utilization, Decision Making, School Counseling
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Deke, John; Finucane, Mariel; Thal, Daniel – National Center for Education Evaluation and Regional Assistance, 2022
BASIE is a framework for interpreting impact estimates from evaluations. It is an alternative to null hypothesis significance testing. This guide walks researchers through the key steps of applying BASIE, including selecting prior evidence, reporting impact estimates, interpreting impact estimates, and conducting sensitivity analyses. The guide…
Descriptors: Bayesian Statistics, Educational Research, Data Interpretation, Hypothesis Testing
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Ding, Jian-Hua; Jin, Xian-Wen; Shuai, Ling-Ying – Teaching Statistics: An International Journal for Teachers, 2017
In this article, the degrees of freedom of the sample variance are simulated by using the Visual Basic for Applications of Microsoft Excel 2010. The simulation file dynamically displays why the sample variance should be calculated by dividing the sum of squared deviations by n-1 rather than n, which is helpful for students to grasp the meaning of…
Descriptors: Spreadsheets, Worksheets, Statistical Analysis, Simulation
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Blozis, Shelley A.; Harring, Jeffrey R. – Sociological Methods & Research, 2017
Latent curve models have become a popular approach to the analysis of longitudinal data. At the individual level, the model expresses an individual's response as a linear combination of what are called "basis functions" that are common to all members of a population and weights that may vary among individuals. This article uses…
Descriptors: Statistical Analysis, Models, Calculus, Longitudinal Studies
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Cox, Bradley E.; Nachman, Brett Ranon – Journal of Postsecondary Education and Disability, 2020
This paper provides practical guidance for scholars and practitioners looking to develop more rigorous, comprehensive, and inclusive research that could guide proactive efforts to improve access, experiences, and outcomes for college students with disabilities. To do so, we (a) identify critical challenges affecting research and assessment related…
Descriptors: College Students, Students with Disabilities, Statistical Analysis, Student Evaluation
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