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Munz, D. C.; Jacobs, P. D. – British Journal of Educational Psychology, 1971
Descriptors: Anxiety, Educational Testing, Item Analysis, Test Construction
Shoemaker, David M. – J Educ Meas, 1970
Descriptors: Item Analysis, Multiple Choice Tests, Test Results
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Barker, Harry R.; Fowler, Raymond D. – Journal of Clinical Psychology, 1971
Descriptors: Factor Analysis, Item Analysis, Rating Scales, Tests
Orlinsky, David E.; and others – J Clin Psychol, 1970
Analyses of reports of patients' problematic concerns indicated, among other things, that patients and therapists generally agreed when concerns were present or absent in therapy session, but differed in interpretive emphasis. (CK)
Descriptors: Attitudes, Item Analysis, Patients, Problem Solving
Dillman, Caroline M.; Rahmlow, Harold F. – NSPI Journal, 1970
Descriptors: Educational Objectives, Evaluation Methods, Item Analysis, Tests
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Wolfe, John H. – Psychometrika, 1981
In tailored testing, it is important to determine the optimal difficulty of the next item to be presented to the examinee. It is shown that the difference that maximizes information for the three-parameter normal ogive response model is greater than the optimal difference for the three-parameter logistic model. (Author/JKS)
Descriptors: Item Analysis, Latent Trait Theory, Measurement Techniques
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Aiken, Lewis R. – Educational and Psychological Measurement, 1979
The dependence of item discrimination index (D) on item difficulty index (p), and the relationship of D and p to the phi coefficient are delineated. A table of critical values of D significant at the .10 and .05 levels, with p ranging from .10 to .90, is presented. (Author/CTM)
Descriptors: Correlation, Item Analysis, Statistical Significance, Tables (Data)
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Kumar, M. Rajesh; Kumar, R. Krishna – Journal on School Educational Technology, 2008
The trend of using e-learning as a teaching tool is now rapidly expanding into education. Although e-learning environments are becoming popular there is minimal research on the impact of e-learning on the teachers. The purpose of this study is to develop a tool to measure the impact of e-learning on the teachers' of higher education in the Indian…
Descriptors: Electronic Learning, Higher Education, Foreign Countries, Teachers
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Patrick, Kate; Bedford, Anthony; Romagnano, Stephanie; Bedford, Michelle; Barber, James – Journal of Institutional Research, 2008
Like other universities, RMIT recognises the significance of graduates' ratings of their experience and has had a long-term commitment to improving student learning. As at other universities, RMIT's standard subject-level survey (the Course Experience Survey [CES]) incorporates items from the national Course Experience Questionnaire, with the aim…
Descriptors: Factor Analysis, Student Surveys, Intellectual Disciplines, Educational Improvement
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Pinto, Maria – Journal of Librarianship and Information Science, 2008
In accordance with the recent philosophy of quality in higher education embraced by European institutions, a checklist for the qualitative evaluation of service charters in academic libraries is proposed. The checklist is based on the existing literature on the topic, not only the large number of research papers on quality issues in general, but…
Descriptors: Check Lists, Academic Libraries, Library Services, Evaluation Criteria
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Stichter, Kenneth – Journal of Educational Research & Policy Studies, 2008
The purpose of this study was to analyze one high school district's use of student survey data to measure district-wide goal achievement. The premise was that student school climate factors may serve as a more robust measure of district goal attainment than the district's use of discrete item analysis. The data were gathered from archived biennial…
Descriptors: Academic Achievement, Student Surveys, School Districts, Factor Analysis
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Arning, K.; Ziefle, M. – Behaviour & Information Technology, 2008
Prior computer expertise represents one of the most important predictors of performance when interacting with ICT (Information and Communication Technologies) and acquiring computer skills. Due to demographic changes, the older adult will become increasingly important as a potential user. However, there is a lack of instruments for the assessment…
Descriptors: Knowledge Level, Questionnaires, Older Adults, Computers
Walt, Nancy; Atwood, Kristin; Mann, Alex – Journal of Technology, Learning, and Assessment, 2008
The purpose of this study was to determine whether or not survey medium (electronic versus paper format) has a significant effect on the results achieved. To compare survey media, responses from elementary students to British Columbia's Satisfaction Survey were analyzed. Although this study was not experimental in design, the data set served as a…
Descriptors: Student Attitudes, Factor Analysis, Foreign Countries, Elementary School Students
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Lahey, Benjamin B.; Applegate, Brooks; Chronis, Andrea M.; Jones, Heather A.; Williams, Stephanie Hall; Loney, Jan; Waldman, Irwin D. – Journal of Clinical Child and Adolescent Psychology, 2008
Lahey and Waldman proposed a developmental propensity model in which three dimensions of children's emotional dispositions are hypothesized to transact with the environment to influence risk for conduct disorder, heterogeneity in conduct disorder, and comorbidity with other disorders. To prepare for future tests of this model, a new measure of…
Descriptors: Behavior Disorders, Psychopathology, Child Behavior, Factor Analysis
Vaden-Kiernan, Michael; Jones, Debra Hughes; McCann, Erin – National Staff Development Council, 2009
The National Staff Development Council (NSDC), a private, nonprofit association, has outlined high standards for educator professional learning. One demonstration of NSDC's commitment to the goal of ensuring all schools support and use high standards for professional learning is the organization's investment in developing an instrument to assess…
Descriptors: Evidence, Psychometrics, Faculty Development, Academic Standards
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