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Simsek, Ahmet Salih – International Journal of Assessment Tools in Education, 2023
Likert-type item is the most popular response format for collecting data in social, educational, and psychological studies through scales or questionnaires. However, there is no consensus on whether parametric or non-parametric tests should be preferred when analyzing Likert-type data. This study examined the statistical power of parametric and…
Descriptors: Error of Measurement, Likert Scales, Nonparametric Statistics, Statistical Analysis
Guo, Hongwen; Robin, Frederic; Dorans, Neil – Journal of Educational Measurement, 2017
The early detection of item drift is an important issue for frequently administered testing programs because items are reused over time. Unfortunately, operational data tend to be very sparse and do not lend themselves to frequent monitoring analyses, particularly for on-demand testing. Building on existing residual analyses, the authors propose…
Descriptors: Testing, Test Items, Identification, Sample Size
McGrath, April – Teaching & Learning Inquiry, 2016
Quantitative results from empirical studies are common in the field of Scholarship of Teaching and Learning (SoTL), but it is important to remain aware of what the results from our studies can, and cannot, tell us. Oftentimes studies conducted to examine teaching and learning are constrained by class size. Small sample sizes negatively influence…
Descriptors: Scholarship, Instruction, Learning, Class Size
Suh, Youngsuk – Journal of Educational Measurement, 2016
This study adapted an effect size measure used for studying differential item functioning (DIF) in unidimensional tests and extended the measure to multidimensional tests. Two effect size measures were considered in a multidimensional item response theory model: signed weighted P-difference and unsigned weighted P-difference. The performance of…
Descriptors: Effect Size, Goodness of Fit, Statistical Analysis, Statistical Significance
Steiner, Peter M.; Wong, Vivian – Society for Research on Educational Effectiveness, 2016
Despite recent emphasis on the use of randomized control trials (RCTs) for evaluating education interventions, in most areas of education research, observational methods remain the dominant approach for assessing program effects. Over the last three decades, the within-study comparison (WSC) design has emerged as a method for evaluating the…
Descriptors: Randomized Controlled Trials, Comparative Analysis, Research Design, Evaluation Methods
Seastrom, Marilyn – Institute of Education Sciences, 2017
The Every Student Succeeds Act (ESSA) of 2015 (Public Law 114-95) requires each state to create a plan for its statewide accountability system. In particular, ESSA calls for state plans that include strategies for reporting education outcomes by grade for all students and for economically disadvantaged students, students from major racial and…
Descriptors: Accountability, Best Practices, Information Security, Sample Size
Hyman, Susan L.; Stewart, Patricia A.; Foley, Jennifer; Cain, Usa; Peck, Robin; Morris, Danielle D.; Wang, Hongyue; Smith, Tristram – Journal of Autism and Developmental Disorders, 2016
To obtain information on the safety and efficacy of the gluten-free/casein-free (GFCF) diet, we placed 14 children with autism, age 3-5 years, on the diet for 4-6 weeks and then conducted a double-blind, placebo-controlled challenge study for 12 weeks while continuing the diet, with a 12-week follow-up. Dietary challenges were delivered via weekly…
Descriptors: Dietetics, Sample Size, Statistical Analysis, Statistical Significance
Zimmerman, Donald W. – Psicologica: International Journal of Methodology and Experimental Psychology, 2012
In order to circumvent the influence of correlation in paired-samples and repeated measures experimental designs, researchers typically perform a one-sample Student "t" test on difference scores. That procedure entails some loss of power, because it employs N - 1 degrees of freedom instead of the 2N - 2 degrees of freedom of the…
Descriptors: Correlation, Statistical Analysis, Statistical Significance, Scores
Hightower, Christy; Scott, Kerry – Issues in Science and Technology Librarianship, 2012
Many librarians use data from surveys to make decisions about how to spend money or allocate staff, often making use of popular online tools like Survey Monkey. In this era of reduced budgets, low staffing, stiff competition for new resources, and increasingly complex choices, it is especially important that librarians know how to get strong,…
Descriptors: Librarians, Surveys, Statistical Inference, Statistics
Liu, Xiaofeng Steven – International Journal of Mathematical Education in Science and Technology, 2012
The statistical power of a significance test is closely related to the length of the confidence interval (i.e. estimate precision). In the case of a "Z" test, the length of the confidence interval can be expressed as a function of the statistical power. (Contains 1 figure and 1 table.)
Descriptors: Statistical Analysis, Intervals, Statistical Significance, Statistics
Kurt, Mehmet; Bilginer, Hayriye – Online Submission, 2016
In the globalizing world economy, for the realization of international trade is increasing the need for foreign language learning. TR63 (Kahramanmaras, Osmaniye and Hatay) region is increasing its export every day. Besides these advances, interest is awakening in foreign language education among the region. In preparing syllabus for this kind of…
Descriptors: Cognitive Style, Second Language Learning, Foreign Countries, Geographic Regions
Schimmack, Ulrich – Psychological Methods, 2012
Cohen (1962) pointed out the importance of statistical power for psychology as a science, but statistical power of studies has not increased, while the number of studies in a single article has increased. It has been overlooked that multiple studies with modest power have a high probability of producing nonsignificant results because power…
Descriptors: Psychological Studies, Statistical Analysis, Probability, Statistical Significance
Diliberti, Melissa; Jackson, Michael; Kemp, Jana – National Center for Education Statistics, 2017
This report presents findings on crime and violence in U.S. public schools, using data from the 2015-16 School Survey on Crime and Safety (SSOCS:2016). First administered in school year 1999-2000 and repeated in school years 2003-04, 2005-06, 2007-08, 2009-10, and 2015-16, SSOCS provides information on school crime-related topics from the…
Descriptors: Crime, Violence, Discipline, School Safety
Apa Browne, Lynn Geri – ProQuest LLC, 2014
Elementary grade students in a mid-Atlantic state school district have not been meeting academic standards on state assessments. Research indicates that academic achievement is connected to self-directed readiness to learn; however, often the instruction in strategies for student self-directed readiness to learn remains teacher-centered. The…
Descriptors: Elementary School Students, Goal Orientation, Learning Strategies, Learning Readiness
Alexandrowicz, Rainer W. – Educational Research and Evaluation, 2011
The linear logistic test model (LLTM) is a valuable and approved tool in educational research, as it allows for modelling cognitive components involved in a cognitive task. It allows for a rigorous assessment of fit by means of a Likelihood Ratio Test (LRT). This approach is genuine to the Rasch family of models, yet it suffers from the unsolved…
Descriptors: Statistical Analysis, Item Response Theory, Models, Sample Size

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