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Kogar, Hakan – Journal of Education and Learning, 2018
The aim of the present research study was to compare the findings from the nonparametric MSA, DIMTEST and DETECT and the parametric dimensionality determining methods in various simulation conditions by utilizing exploratory and confirmatory methods. For this purpose, various simulation conditions were established based on number of dimensions,…
Descriptors: Evaluation Methods, Nonparametric Statistics, Statistical Analysis, Factor Analysis
Pearl, Judea – Sociological Methods & Research, 2017
We address the task of determining, from statistical averages alone, whether a population under study consists of several subpopulations, unknown to the investigator, each responding to a given treatment markedly differently. We show that such determination is feasible in three cases: (1) randomized trials with binary treatments, (2) models where…
Descriptors: Statistical Analysis, Models, Social Science Research, Randomized Controlled Trials
Wyse, Adam E.; Seo, Dong Gi – Practical Assessment, Research & Evaluation, 2014
This article provides a brief overview and comparison of three conditional growth percentile methods; student growth percentiles, percentile rank residuals, and a nonparametric matching method. These approaches seek to describe student growth in terms of the relative percentile ranking of a student in relationship to students that had the same…
Descriptors: Academic Achievement, Achievement Gains, Evaluation Methods, Statistical Analysis
Tendeiro, Jorge N.; Meijer, Rob R. – Journal of Educational Measurement, 2014
In recent guidelines for fair educational testing it is advised to check the validity of individual test scores through the use of person-fit statistics. For practitioners it is unclear on the basis of the existing literature which statistic to use. An overview of relatively simple existing nonparametric approaches to identify atypical response…
Descriptors: Educational Assessment, Test Validity, Scores, Statistical Analysis
Finch, Holmes; Edwards, Julianne M. – Educational and Psychological Measurement, 2016
Standard approaches for estimating item response theory (IRT) model parameters generally work under the assumption that the latent trait being measured by a set of items follows the normal distribution. Estimation of IRT parameters in the presence of nonnormal latent traits has been shown to generate biased person and item parameter estimates. A…
Descriptors: Item Response Theory, Computation, Nonparametric Statistics, Bayesian Statistics
Socha, Alan; DeMars, Christine E.; Zilberberg, Anna; Phan, Ha – International Journal of Testing, 2015
The Mantel-Haenszel (MH) procedure is commonly used to detect items that function differentially for groups of examinees from various demographic and linguistic backgrounds--for example, in international assessments. As in some other DIF methods, the total score is used to match examinees on ability. In thin matching, each of the total score…
Descriptors: Test Items, Educational Testing, Evaluation Methods, Ability Grouping
Rigler, Kenneth L.; Cook-Benjamin, Lorie; Wieland, Regi; Tholstrup, Carrie – Cogent Education, 2016
The purpose of this survey study was to collect faculty perceptions toward changes made to the faculty merit evaluation process in a college of education at a state comprehensive university. The changes in the evaluation occurred over a two-year period, where a formative rubric and faculty self-assessment were incorporated into the merit…
Descriptors: Inclusion, Merit Rating, Self Evaluation (Individuals), Teacher Evaluation
Kalkan, Ömür Kaya; Kelecioglu, Hülya – Educational Sciences: Theory and Practice, 2016
Linear factor analysis models used to examine constructs underlying the responses are not very suitable for dichotomous or polytomous response formats. The associated problems cannot be eliminated by polychoric or tetrachoric correlations in place of the Pearson correlation. Therefore, we considered parameters obtained from the NOHARM and FACTOR…
Descriptors: Sample Size, Nonparametric Statistics, Factor Analysis, Correlation
Mostowfi, Sara; Mamaghani, Nasser Koleini; Khorramar, Mehdi – International Journal of Environmental and Science Education, 2016
Due to a progressive deterioration of our planet and its resources, environmental education has become important and children are required to understand environmental issues at an early ages. So, they can cultivate the positive changes in the future. Over the past decade, many new evaluation methods have developed for evaluating user experience…
Descriptors: Instructional Design, Play, Educational Games, Elementary School Students
Porter, Kristin E.; Balu, Rekha – MDRC, 2016
Education systems are increasingly creating rich, longitudinal data sets with frequent, and even real-time, data updates of many student measures, including daily attendance, homework submissions, and exam scores. These data sets provide an opportunity for district and school staff members to move beyond an indicators-based approach and instead…
Descriptors: Models, Prediction, Statistical Analysis, Elementary Secondary Education
Yildirim, Serkan; Kaban, Abdullatif; Yildirim, Gürkan; Çelik, Embiya – Turkish Online Journal of Educational Technology - TOJET, 2016
Digital badges are the components demonstrating competency and knowledge of the learners. The use of digital badges used to reflect the skills of learners is becoming increasingly widespread in the teaching environments. In addition, these badges are starting to take their places among documents such as certificates and diplomas. In this study,…
Descriptors: Foreign Countries, Recognition (Achievement), Evaluation Methods, Information Storage
Ebert-May, Diane; Derting, Terry L.; Henkel, Timothy P.; Maher, Jessica Middlemis; Momsen, Jennifer L.; Arnold, Bryan; Passmore, Heather A. – CBE - Life Sciences Education, 2015
The availability of reliable evidence for teaching practices after professional development is limited across science, technology, engineering, and mathematics disciplines, making the identification of professional development "best practices" and effective models for change difficult. We aimed to determine the extent to which…
Descriptors: Science Instruction, Science Teachers, Student Centered Learning, STEM Education
McKenna, Ann F.; Hynes, Morgan M.; Johnson, Amy M.; Carberry, Adam R. – European Journal of Engineering Education, 2016
Product archaeology as an educational approach asks engineering students to consider and explore the broader societal and global impacts of a product's manufacturing, distribution, use, and disposal on people, economics, and the environment. This study examined the impact of product archaeology in a project-based engineering design course on…
Descriptors: Environmental Education, Global Education, Economic Impact, Social Influences
Joost C. F. de Winter; Dimitra Dodou – Practical Assessment, Research & Evaluation, 2010
Likert questionnaires are widely used in survey research, but it is unclear whether the item data should be investigated by means of parametric or nonparametric procedures. This study compared the Type I and II error rates of the "t" test versus the Mann-Whitney-Wilcoxon (MWW) for five-point Likert items. Fourteen population…
Descriptors: Evaluation Methods, Questionnaires, Likert Scales, Statistical Analysis
Kaplan, David; Turner, Alyn – OECD Publishing (NJ1), 2012
The OECD Program for International Student Assessment (PISA) and the OECD Teaching and Learning International Survey (TALIS) constitute two of the largest ongoing international student and teacher surveys presently underway. Data generated from these surveys offer researchers and policy-makers opportunities to identify particular educational…
Descriptors: Outcomes of Education, Teacher Surveys, Policy Analysis, Educational Change
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