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Otrar, Mustafa – Educational Sciences: Theory and Practice, 2007
The science of education has focused on alternative educational approaches for years with a view to meeting the needs of wide student audiences in classes. One of the sources of the differences in learning performance at class environment is the learning styles. This study has been conducted to develop a learning styles scale for students at the…
Descriptors: Validity, Audiences, Measures (Individuals), Factor Analysis
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Pena, Elizabeth D. – Child Development, 2007
In cross-cultural child development research there is often a need to translate instruments and instructions to languages other than English. Typically, the translation process focuses on ensuring linguistic equivalence. However, establishment of linguistic equivalence through translation techniques is often not sufficient to guard against…
Descriptors: Research Methodology, Linguistics, Validity, Child Development
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Hahs-Vaughn, Debbie; Zygouris-Coe, Vicky; Fiedler, Rebecca – Technology, Pedagogy and Education, 2007
Online professional development is multidimensional. It encompasses: a) an online, web-based format; b) professional development; and most likely c) specific objectives tailored to and created for the respective online professional development course. Evaluating online professional development is therefore also multidimensional and as such both…
Descriptors: Professional Development, Online Courses, Blended Learning, Evaluation Methods
Levine, Michael V.; Saxe, David H. – 1976
A novel use of periodic functions, called the periodic procedure, was recently introduced to make practical the use of certain physical measurement ideas in psychology. This paper reports a successful attempt to apply the periodic procedure to an important psychological measurement problem, the measurement of aptitude test item difficulties. The…
Descriptors: Aptitude Tests, Item Analysis, Test Reliability
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D'Agostino, Ralph B.; Cureton, Edward E. – Educational and Psychological Measurement, 1975
The problem of selecting the size of the tails from a sample drawn from a distribution of test scores for item analysis study is discussed. (Author)
Descriptors: Correlation, Item Analysis, Sampling, Test Results
Stanley, Gordon – J Psychol, 1969
Descriptors: Adult Education, College Students, Item Analysis
Bart, William M. – 1981
This state-of-the-art review describes the genesis, structure, methods, applications, limitations and goals of the ordering analytic approach to hierarchical analysis, with specific reference to its relevance and use in educational, psychology and behavioral sciences. Hierarchy is defined as an "ordering" of objects such that the…
Descriptors: Item Analysis, Methods, Psychometrics, Test Items
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Schnittjer, Carl J.; Cartledge, Carolyn M. – Educational and Psychological Measurement, 1976
Conducts a comparative investigation of selected item analysis programs currently available which could serve as a base for judicious program selection and use. (RC)
Descriptors: Comparative Analysis, Computer Programs, Item Analysis
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Dunlap, William R. – Educational and Psychological Measurement, 1978
The Q Sort method is a rank order procedure. A FORTRAN program is described which calculates a total value for any group of cases for the items in the Q Sort, and rank orders the items according to this composite value. (Author/JKS)
Descriptors: Computer Programs, Item Analysis, Q Methodology
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Sirotnik, Ken – Educational and Psychological Measurement, 1972
This note refers to EJ 056 482. (CB)
Descriptors: Item Analysis, Item Sampling, Mathematical Applications
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Tucker, Ledyard R.; And Others – Psychometrika, 1972
Some suggestions for computations are given for simultaneous determination of squared multiple correlations for all measures. (Authors)
Descriptors: Correlation, Item Analysis, Mathematical Applications, Statistics
Monk, Janice J.; Stallings, William M. – J Educ Res, 1970
Descriptors: Item Analysis, Test Construction, Test Results
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Gable, Robert K.; Pruzek, Robert M. – Journal of Experimental Education, 1971
Descriptors: Item Analysis, Measurement Instruments, Tests, Values
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Ashman, A. – Education in Chemistry, 1971
Descriptors: Chemistry, Item Analysis, Test Construction, Testing
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Olsson, Ulf; And Others – Psychometrika, 1982
The polyserial and point polyserial correlations are discussed as generalizations of the biserial and point biserial correlations. The relationship between the polyserial and point polyserial correlation is derived. Some practical applications of the polyserial correlation are described. (Author/JKS)
Descriptors: Algorithms, Correlation, Item Analysis, Statistical Analysis
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