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Stefanie A. Wind; Benjamin Lugu – Applied Measurement in Education, 2024
Researchers who use measurement models for evaluation purposes often select models with stringent requirements, such as Rasch models, which are parametric. Mokken Scale Analysis (MSA) offers a theory-driven nonparametric modeling approach that may be more appropriate for some measurement applications. Researchers have discussed using MSA as a…
Descriptors: Item Response Theory, Data Analysis, Simulation, Nonparametric Statistics
Rashelle J. Musci; Joseph Kush; Elise T. Pas; Catherine P. Bradshaw – Grantee Submission, 2024
Given the increased focus of educational research on what works for whom and under what circumstances over the last decade, educational researchers are increasingly turning toward mixture models to identify heterogeneous subgroups among students. Such data are inherently nested, as students are nested within classrooms and schools. Yet there has…
Descriptors: Hierarchical Linear Modeling, Data Analysis, Nonparametric Statistics, Educational Research
Junming Guo; Chuanbin Liu; Han Zhang; Dan Wang; Jintao Lu – Evaluation Review, 2025
Performance management in university-based scientific research institutions is essential for driving reform, advancing education quality, and fostering innovation. However, current performance evaluation models often focus solely on research indicators, neglecting the critical interdependence between the education and research systems. This…
Descriptors: Performance Based Assessment, Institutional Evaluation, Research Universities, Scientific Research
Turner, Kyle T.; Engelhard, George, Jr. – Measurement: Interdisciplinary Research and Perspectives, 2023
The purpose of this study is to illustrate the use of functional data analysis (FDA) as a general methodology for analyzing person response functions (PRFs). Applications of FDA to psychometrics have included the estimation of item response functions and latent distributions, as well as differential item functioning. Although FDA has been…
Descriptors: Data Analysis, Item Response Theory, Psychometrics, Statistical Distributions
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
Wind, Stefanie A. – Measurement: Interdisciplinary Research and Perspectives, 2020
A major challenge in the widespread application of Mokken scale analysis (MSA) to educational performance assessments is the requirement of complete data, where every rater rates every student. In this study, simulated and real data are used to demonstrate a method by which researchers and practitioners can apply MSA to incomplete rating designs.…
Descriptors: Item Response Theory, Scaling, Nonparametric Statistics, Performance Based Assessment
Shero, Jeffrey A.; Al Otaiba, Stephanie; Schatschneider, Chris; Hart, Sara A. – Journal of Experimental Education, 2022
Many of the analytical models commonly used in educational research often aim to maximize explained variance and identify variable importance within models. These models are useful for understanding general ideas and trends, but give limited insight into the individuals within said models. Data envelopment analysis (DEA), is a method rooted in…
Descriptors: Data Analysis, Educational Research, Nonparametric Statistics, Efficiency
Sinharay, Sandip – Journal of Educational Measurement, 2017
Person-fit assessment (PFA) is concerned with uncovering atypical test performance as reflected in the pattern of scores on individual items on a test. Existing person-fit statistics (PFSs) include both parametric and nonparametric statistics. Comparison of PFSs has been a popular research topic in PFA, but almost all comparisons have employed…
Descriptors: Goodness of Fit, Testing, Test Items, Scores
Martin, Daniel P.; von Oertzen, Timo; Rimm-Kaufman, Sara E. – Society for Research on Educational Effectiveness, 2015
There is an increasing number of datasets with many participants, variables, or both, in education and other fields that often deal with large, multilevel data structures. Once initial confirmatory hypotheses are exhausted, it can be difficult to determine how best to explore the dataset to discover hidden relationships that could help to inform…
Descriptors: Data Analysis, Nonparametric Statistics, Feasibility Studies, Educational Research
Margaret Denny; Suzanne Denieffe; Majda Pajnkihar – Sage Research Methods Cases, 2017
This case study considers how a non-equivalent control group design was used in a PhD study examining the impact of a multiple intelligence teaching approach on student engagement and learning. Two groups of second year undergraduate nursing students undertook the study: a treatment group (n = 26) and a control group (n = 18). The intervention for…
Descriptors: Educational Research, Control Groups, Research Methodology, Nursing Students
Park, Jungkyu; Yu, Hsiu-Ting – Educational and Psychological Measurement, 2016
The multilevel latent class model (MLCM) is a multilevel extension of a latent class model (LCM) that is used to analyze nested structure data structure. The nonparametric version of an MLCM assumes a discrete latent variable at a higher-level nesting structure to account for the dependency among observations nested within a higher-level unit. In…
Descriptors: Hierarchical Linear Modeling, Nonparametric Statistics, Data Analysis, Simulation
Alverson, Charlotte Y.; Yamamoto, Scott H. – SAGE Open, 2016
In this study, we used a paper-pencil questionnaire to investigate whether teachers, administrators, and parents differed in their preferences and accuracy when interpreting visual data displays for decision making. For the data analysis, we used nonparametric tests due to violations of distributional assumptions for using parametric tests. We…
Descriptors: Visual Aids, Data, Decision Making, Data Analysis
Silva, João Carlos Sedraz; Zambom, Erik; Rodrigues, Rodrigo Lins; Ramos, Jorge Luis Cavalcanti; de Souza, Fernando da Fonseca – International Journal of Information and Communication Technology Education, 2018
The present article is aimed at analyzing the effects of learning analytics on students' self-regulated learning in a flipped classroom. An experiment was conducted with 96 engineering students, enrolled in a subject offered in the Flipped Classroom model. The students were divided into two groups: an experimental group (N = 51) and a control…
Descriptors: Blended Learning, Academic Achievement, Experimental Groups, Learning Strategies
Perceptions of Active Learning between Faculty and Undergraduates: Differing Views among Departments
Patrick, Lorelei E.; Howell, Leigh Anne; Wischusen, William – Journal of STEM Education: Innovations and Research, 2016
There have been numerous calls recently to increase the use of active learning in university science, technology, engineering, and math (STEM) classrooms to more actively engage students and enhance student learning. However, few studies have investigated faculty and student perceptions regarding the effectiveness of active learning or the…
Descriptors: Undergraduate Students, Student Attitudes, College Faculty, Teacher Attitudes
Ekici, Didem Inel – International Education Studies, 2016
This study aimed to determine Turkish junior high-school students' perceptions of the general problem-solving process. The Turkish junior high-school students' perceptions of the general problem-solving process were examined in relation to their gender, grade level, age and their grade point with regards to the science course identified in the…
Descriptors: Foreign Countries, Junior High School Students, Student Attitudes, Problem Solving