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Showing 1 to 15 of 17 results Save | Export
Dai, Shenghai – ProQuest LLC, 2017
This dissertation is aimed at investigating the impact of missing data and evaluating the performance of five selected methods for handling missing responses in the implementation of Cognitive Diagnostic Models (CDMs). The five methods are: a) treating missing data as incorrect (IN), b) person mean imputation (PM), c) two-way imputation (TW), d)…
Descriptors: Data, Research Problems, Research Methodology, Models
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Steiner, Peter M.; Kim, Yongnam – Society for Research on Educational Effectiveness, 2014
In contrast to randomized experiments, the estimation of unbiased treatment effects from observational data requires an analysis that conditions on all confounding covariates. Conditioning on covariates can be done via standard parametric regression techniques or nonparametric matching like propensity score (PS) matching. The regression or…
Descriptors: Observation, Research Methodology, Test Bias, Regression (Statistics)
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Hsieh, Feng-Jui – International Journal of Science and Mathematics Education, 2013
This paper discusses different conceptual frameworks for measuring mathematics pedagogical content knowledge (MPCK) in international comparison studies. Two large-scale international comparative studies, "Mathematics Teaching in the Twenty-First Century" (MT21; Schmidt et al., 2011) and the "Teacher Education and Development Study…
Descriptors: Pedagogical Content Knowledge, Mathematics Teachers, Mathematics Instruction, Foreign Countries
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Hauser, Carl; Thum, Yeow Meng; He, Wei; Ma, Lingling – Educational and Psychological Measurement, 2015
When conducting item reviews, analysts evaluate an array of statistical and graphical information to assess the fit of a field test (FT) item to an item response theory model. The process can be tedious, particularly when the number of human reviews (HR) to be completed is large. Furthermore, such a process leads to decisions that are susceptible…
Descriptors: Test Items, Item Response Theory, Research Methodology, Decision Making
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Smithson, Michael; Merkle, Edgar C.; Verkuilen, Jay – Journal of Educational and Behavioral Statistics, 2011
This paper describes the application of finite-mixture general linear models based on the beta distribution to modeling response styles, polarization, anchoring, and priming effects in probability judgments. These models, in turn, enhance our capacity for explicitly testing models and theories regarding the aforementioned phenomena. The mixture…
Descriptors: Priming, Research Methodology, Probability, Item Response Theory
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Unick, George J.; Stone, Susan – Social Work Research, 2010
The need to develop measures that tap into constructs of interest to social work, refine existing measures, and ensure that measures function adequately across diverse populations of interest is critical. Item response theory (IRT) is a modern measurement approach that is increasingly seen as an essential tool in a number of allied professions.…
Descriptors: Item Analysis, Item Response Theory, Social Work, Measurement
Lau, Abigail – ProQuest LLC, 2009
Test-takers can be required to complete a test form, but cannot be forced to demonstrate their knowledge. Even if an authority mandates completion of a test, examinees can still opt to enter responses randomly. When a test has important consequences for individuals, examinees are unlikely to behave this way. However, random responding becomes more…
Descriptors: Test Items, Simulation, Item Response Theory, Academic Ability
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Wilhelm, Oliver; Robitzsch, Alexander – Measurement: Interdisciplinary Research and Perspectives, 2009
The paper by Rupp and Templin (2008) is an excellent work on the characteristics and features of cognitive diagnostic models (CDM). In this article, the authors comment on some substantial and methodological aspects of this focus paper. They organize their comments by going through issues associated with the terms "cognitive,"…
Descriptors: Research Methodology, Test Items, Models, Diagnostic Tests
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Shujuan, Wang; Meihua, Qian; Jianxin, Zhang – Journal of Psychoeducational Assessment, 2009
This article examines the psychometric structure of the Anxiety Control Questionnaire (ACQ) in Chinese adolescents. With the data collected from 212 senior high school students (94 females, 110 males, 8 unknown), seven models are tested using confirmatory factor analyses in the framework of the multitrait-multimethod strategy. Results indicate…
Descriptors: Multitrait Multimethod Techniques, Factor Structure, Adolescents, Measures (Individuals)
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Ackerman, Terry A. – Applied Measurement in Education, 1994
When item response data do not satisfy the unidimensionality assumption, multidimensional item response theory (MIRT) should be used to model the item-examinee interaction. This article presents and discusses MIRT analyses designed to give better insight into what individual items are measuring. (SLD)
Descriptors: Evaluation Methods, Item Response Theory, Measurement Techniques, Models
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Nandakumar, Ratna – Journal of Educational Measurement, 1994
Using simulated and real data, this study compares the performance of three methodologies for assessing unidimensionality: (1) DIMTEST; (2) the approach of Holland and Rosenbaum; and (3) nonlinear factor analysis. All three models correctly confirm unidimensionality, but they differ in their ability to detect the lack of unidimensionality.…
Descriptors: Ability, Comparative Analysis, Evaluation Methods, Factor Analysis
Wang, Tianyou; Kolen, Michael J. – 1994
In this paper a quadratic curve equating method for different test forms under a random-group data-collection design is proposed. Procedures for implementing this method and related issues are described and discussed. The quadratic-curve method was evaluated with real test data (from two 30-item subtests for a professional licensure examination…
Descriptors: Comparative Analysis, Data Collection, Equated Scores, Goodness of Fit
Cox, James – 1996
This manual explains how to construct a questionnaire. It is intended for the novice researcher who has little experience in questionnaire construction. The first seven chapters discuss the following seven stages in questionnaire development: (1) establishing the guiding questions; (2) operationalizing and clarifying the guiding questions; (3)…
Descriptors: Data Analysis, Educational Research, Models, Opinions
Evans, John Andrew; Ackerman, Terry – 1994
The strengths of item-response theory (IRT) are used to examine the degree of information individual test items provide, as well as to investigate how the individual item types contribute to the overall measurement accuracy of the Illinois Goal Assessment Program (IGAP) reading test. Using the graded-response model of Samejima (1969), the amount…
Descriptors: Ability, Educational Diagnosis, Elementary Education, Elementary School Students
Bunderson, C. Victor; And Others – 1988
Educational measurement is undergoing a revolution due to the rapid dissemination of information-processing technology. The recent growth in computing resources and their widespread dissemination in daily life have brought about irreversible changes in educational measurement. Recent developments in computerized measurement are summarized by…
Descriptors: Academic Achievement, Adaptive Testing, Computer Assisted Testing, Educational Assessment
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