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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
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Calver, Michael; Fletcher, Douglas – American Biology Teacher, 2020
Data collected in many biology laboratory classes are on ratio or interval scales where the size interval between adjacent units on the scale is constant, which is a critical requirement for analysis with parametric statistics such as t-tests or analysis of variance. In other cases, such as ratings of disease or behavior, data are collected on…
Descriptors: Statistical Analysis, Data Collection, Biology, Science Laboratories
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Van Norman, Ethan R.; Ysseldyke, James E. – School Psychology Review, 2020
Within multitiered systems of support, assessment practices that limit the amount of time students miss instruction should be prioritized. At the same time, decisions about student response to intervention need to be based upon technically adequate data. We evaluated the impact of data collection frequency and trend estimation method on the…
Descriptors: Data Collection, Adaptive Testing, Computer Assisted Testing, Computation
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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
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Marshall, Margaret J.; Duffy, Ashlee Mills; Powell, Stephen; Bartlett, Lesley Erin – International Journal of ePortfolio, 2017
An ePortfolio Assessment Institute (AI) structured as a faculty development opportunity was undertaken to increase faculty confidence in teaching and assessing ePortfolios and to collect reliable data about student performance on four learning outcomes associated with an institutionwide ePortfolio initiative. Faculty raters participated in the…
Descriptors: Electronic Publishing, Portfolio Assessment, Faculty Development, Data Collection
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Ju, Boryung; Jin, Tao – Information Research: An International Electronic Journal, 2013
Introduction: The Delphi technique is widely used in library and information science research. However, many researchers in the field fail to employ standard statistical tests when using this technique. This makes the technique vulnerable to criticisms of its reliability and validity. The general goal of this article is to explore how…
Descriptors: Nonparametric Statistics, Delphi Technique, Library Science, Information Science
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Kalaian, Sema A.; Kasim, Rafa M. – Practical Assessment, Research & Evaluation, 2012
The Delphi survey technique is an iterative mail or electronic (e-mail or web-based) survey method used to obtain agreement or consensus among a group of experts in a specific field on a particular issue through a well-designed and systematic multiple sequential rounds of survey administrations. Each of the multiple rounds of the Delphi survey…
Descriptors: Delphi Technique, Mail Surveys, Online Surveys, Data Collection
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Rosmaniar, Widhyanti; Marzuki, Shahril Charil bin Hj. – Higher Education Studies, 2016
The purpose of this study is to look closely at how aspects of instructional leadership, and organizational learning affect the quality of madrasah in improving the quality of graduate the state madrasah aliyah. The experiment was conducted using a quantitative approach with descriptive and inferential methods, in inferential methods used…
Descriptors: Principals, Instructional Leadership, Workplace Learning, Organizational Development
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Young, Forest; Baker, Robert F. – Psychometrika, 1975
The Individual Scaling with Individual Subjects (ISIS) procedure appears to be a viable implementation of an incomplete design for collecting real as well as simulated data. Applied to a multidimensional set of data, it reduced the number of judgments required by more than half and yet gave the same number of dimensions. (Author/RC)
Descriptors: Correlation, Data Collection, Matrices, Multidimensional Scaling
Holland, Paul W.; Thayer, Dorothy T. – 1989
A new and unified approach to test equating is described that is based on log-linear models for smoothing score distributions and on the kernel method of nonparametric density estimation. The new method contains both linear and standard equipercentile methods as special cases and can handle several important equating data collection designs. An…
Descriptors: Data Collection, Equated Scores, Estimation (Mathematics), Nonparametric Statistics
Subkoviak, Michael J.; Roecks, Alan L. – 1975
The present study examined three different methods of data collection in which subjects judged proximity between object pairs. One method required subjects to partition objects into homogeneous subsets; the second entailed rating object pairs on a similarity-dissimilarity continuum; and the third involved comparing inter-object proximities to a…
Descriptors: Data Collection, Distance, Evaluation Methods, Higher Education
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Cliff, Norman; And Others – Applied Psychological Measurement, 1988
A method for ordering persons and items when all responses are ordinal was developed and applied to several sets of questionnaire data (from undergraduates) and one set of archeological data. The method provides a possible nonparametric treatment of data usually treated by more traditional psychometric methods. (SLD)
Descriptors: Archaeology, Data Analysis, Data Collection, Higher Education
Wheeler, Patricia; Elias, Patricia J. – 1976
The Beginning Teacher Evaluation Study (BTES), Phase II, was a research project on effective teaching behavior--what teachers do that significantly affects what and how pupils learn. The purposes of Phase II were to (1) develop an assessment system for measuring teacher and pupil behaviors and other factors which could influence each of them and…
Descriptors: Academic Achievement, Achievement Tests, Data Collection, Elementary Education
Stallings, Jane A. – 1977
A complex research and development process is required to study instructional processes and student outcomes effectively. In order to study the instructional process it is essential to select or develop instruments that can describe a total event. Understanding the classroom process necessitates having a record of the environment, the materials,…
Descriptors: Classroom Environment, Classroom Observation Techniques, Data Collection, Elementary Secondary Education
Loadman, William E. – 1976
A nonmetric multidimensional scaling technique was employed to determine the characteristics of the ideal professor. Subsequently, the results were compared across varying levels of program personnel, including administrators, faculty, staff and students. Centered in a relatively self-contained academic program of a large midwestern university,…
Descriptors: Administrator Attitudes, College Faculty, College Instruction, College Students