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Peter, Johannes; Rosman, Tom; Mayer, Anne-Kathrin; Leichner, Nikolas; Krampen, Günter – British Journal of Educational Psychology, 2016
Background: Particularly in higher education, not only a view of science as a means of finding absolute truths (absolutism), but also a view of science as generally tentative (multiplicism) can be unsophisticated and obstructive for learning. Most quantitative epistemic belief inventories neglect this and understand epistemic sophistication as…
Descriptors: Beliefs, Epistemology, Psychology, Factor Analysis
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Avsec, Stanislav; Jamšek, Janez – International Journal of Technology and Design Education, 2016
Technological literacy is identified as a vital achievement of technology- and engineering-intensive education. It guides the design of technology and technical components of educational systems and defines competitive employment in technological society. Existing methods for measuring technological literacy are incomplete or complicated,…
Descriptors: Technological Literacy, Elementary School Students, Secondary School Students, Evaluation Methods
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Hitchcock, John H.; Johanson, George A. – Research in the Schools, 2015
Understanding the reason(s) for Differential Item Functioning (DIF) in the context of measurement is difficult. Although identifying potential DIF items is typically a statistical endeavor, understanding the reasons for DIF (and item repair or replacement) might require investigations that can be informed by qualitative work. Such work is…
Descriptors: Mixed Methods Research, Test Items, Item Analysis, Measurement
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Solomon, Benjamin G.; Forsberg, Ole J. – School Psychology Quarterly, 2017
Bayesian techniques have become increasingly present in the social sciences, fueled by advances in computer speed and the development of user-friendly software. In this paper, we forward the use of Bayesian Asymmetric Regression (BAR) to monitor intervention responsiveness when using Curriculum-Based Measurement (CBM) to assess oral reading…
Descriptors: Bayesian Statistics, Regression (Statistics), Least Squares Statistics, Evaluation Methods
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Crisp, Victoria; Shaw, Stuart – Educational Studies, 2012
Validity is a central principle of assessment relating to the appropriateness of the uses and interpretations of test results. Usually, one of the inferences that we wish to make is that the score reflects the extent of a student's learning in a given domain. Thus, it is important to establish that the assessment tasks elicit performances that…
Descriptors: Test Results, Evaluation Methods, Construct Validity, Validity
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Traynor, Anne; Raykov, Tenko – Comparative Education Review, 2013
In international achievement studies, questionnaires typically ask about the presence of particular household assets in students' homes. Responses to the assets questions are used to compute a total score, which is intended to represent household wealth in models of test performance. This study uses item analysis and confirmatory factor analysis…
Descriptors: Secondary School Students, Academic Achievement, Validity, Psychometrics
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Woods, Carol M. – Applied Psychological Measurement, 2008
In Ramsay-curve item response theory (RC-IRT), the latent variable distribution is estimated simultaneously with the item parameters of a unidimensional item response model using marginal maximum likelihood estimation. This study evaluates RC-IRT for the three-parameter logistic (3PL) model with comparisons to the normal model and to the empirical…
Descriptors: Test Length, Computation, Item Response Theory, Maximum Likelihood Statistics
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Greiffenstein, Manfred F.; And Others – Psychological Assessment, 1994
A sample of chronic postconcussive patients with and without overt malingering signs was compared with objectively brain-injured patients (total sample=106) on common episodic memory and malingered amnesia measures. Findings validate commonly cited malingering measures and new methods of classifying malingering in real-world clinical samples. (SLD)
Descriptors: Classification, Clinical Diagnosis, Evaluation Methods, Measures (Individuals)
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Ross, Kenneth N. – International Journal of Educational Research, 1987
This article considers various kinds of probability and non-probability samples in both experimental and survey studies. Throughout, how a sample is chosen is stressed. Size alone is not the determining consideration in sample selection. Good samples do not occur by accident; they are the result of a careful design. (Author/JAZ)
Descriptors: Educational Assessment, Elementary Secondary Education, Evaluation Methods, Experimental Groups
Fink, Arlene – 1995
The nine-volume Survey Kit is designed to help readers prepare and conduct surveys and become better users of survey results. All the books in the series contain instructional objectives, exercises and answers, examples of surveys in use, illustrations of survey questions, guidelines for action, checklists of "dos and don'ts," and…
Descriptors: Costs, Data Collection, Educational Research, Error of Measurement
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McGrath, William E. – Library Quarterly, 1993
Argues that perception studies and ranking are lacking in validity and reliability because of small sample size, simplistic statistical analyses, and the evaluation of quality by educators. It is asserted that quality control is more valid when evaluated by the customers of education, i.e., the students. (11 references) (EA)
Descriptors: Educational Quality, Evaluation Methods, Graduate Students, Higher Education