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Showing 1 to 15 of 32 results Save | Export
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Miciak, Jeremy; Taylor, W. Pat; Denton, Carolyn A.; Fletcher, Jack M. – School Psychology Quarterly, 2015
Few empirical investigations have evaluated learning disabilities (LD) identification methods based on a pattern of cognitive strengths and weaknesses (PSW). This study investigated the reliability of LD classification decisions of the concordance/discordance method (C/DM) across different psychoeducational assessment batteries. C/DM criteria were…
Descriptors: Achievement Tests, Test Selection, Learning Disabilities, Disability Identification
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Markon, Kristian E. – Psychological Methods, 2013
Although advances have improved our ability to describe the measurement precision of a test, it often remains challenging to summarize how well a test is performing overall. Reliability, for example, provides an overall summary of measurement precision, but it is sample-specific and might not reflect the potential usefulness of a test if the…
Descriptors: Measures (Individuals), Psychometrics, Statistical Analysis, Bayesian Statistics
Keiffer, Elizabeth Ann – ProQuest LLC, 2011
A differential item functioning (DIF) simulation study was conducted to explore the type and level of impact that contamination had on type I error and power rates in DIF analyses when the suspect item favored the same or opposite group as the DIF items in the matching subtest. Type I error and power rates were displayed separately for the…
Descriptors: Test Items, Sample Size, Simulation, Identification
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Humphreys, Lloyd G. – Journal of Applied Psychology, 1973
This study considers the problem of deciding when a selection test is invalid for members of a minority group. There is both a strong empirical and theoretical basis for rejecting the choice of zero correlation between test and criterion as an appropriate null hypothesis. (Author)
Descriptors: Minority Groups, Statistical Analysis, Test Selection, Test Validity
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Harwell, Michael R. – Journal of Counseling and Development, 1988
Discusses several statistical and substantive criteria that can be used to choose between parametric and nonparametric tests. Presents a non-parametric test capable of testing a number of statistical hypotheses using existing computer packages. Provides recommendations encouraging researchers to routinely use nonparametric tests in their data…
Descriptors: Statistical Analysis, Test Format, Test Selection, Test Use
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Krishnamoorthy, K.; Xia, Yanping – Multivariate Behavioral Research, 2006
The conventional approach for testing the equality of two normal mean vectors is to test first the equality of covariance matrices, and if the equality assumption is tenable, then use the two-sample Hotelling T[superscript 2] test. Otherwise one can use one of the approximate tests for the multivariate Behrens-Fisher problem. In this article, we…
Descriptors: Statistical Analysis, Test Reliability, Test Selection, Error Patterns
Langmuir, Charles R. – Test Service Bulletin, 1954
Cross-validation in relation to choosing the best tests and selecting the best items in tests is discussed. Cross-validation demonstrated whether a decision derived from one set of data is truly effective when this decision is applied to another independent, but relevant, sample of people. Cross-validation is particularly important after…
Descriptors: Bulletins, Item Analysis, Statistical Analysis, Test Selection
Test Service Bulletin, 1952
Some aspects of test reliability are discussed. Topics covered are: (1) how high should a reliability coefficient be?; (2) two factors affecting the interpretation of reliability coefficients--range of talent and interval between testings; (3) some common misconceptions--reliability of speed tests, part vs. total reliability, reliability for what…
Descriptors: Bulletins, Correlation, Scores, Statistical Analysis
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Lambrecht, Judith J. – Delta Pi Epsilon Journal, 1999
Outlines the purposes of statistical analysis and types of research questions that can be answered. Defines data types as a guide for choosing statistical tools. Describes a hypothetical research study on teaching computer software to illustrate the use of analytical tools. (SK)
Descriptors: Business Education, Educational Research, Research Methodology, Statistical Analysis
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Beuchert, A. Kent; Mendoza, Jorge L. – Journal of Educational Measurement, 1979
Ten item discrimination indices, across a variety of item analysis situations, were compared, based on the validities of tests constructed by using each of the indices to select 40 items from a 100-item pool. Item score data were generated by a computer program and included a simulation of guessing. (Author/CTM)
Descriptors: Item Analysis, Simulation, Statistical Analysis, Test Construction
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Covin, Theron M. – Journal of School Psychology, 1977
The results of the present study suggested that PPVT and SIT IQs are not directly comparable to the WISC-R IQs when the moderate to low correlation coefficents are considered. In addition, the SIT appears to be more comparable to the WISC-R than does either Form A or Form B of the PPVT. (Author)
Descriptors: Comparative Analysis, Elementary School Students, Intelligence Tests, Measurement Instruments
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Hinkle, Dennis E.; And Others – New Directions for Institutional Research, 1988
The data collected in higher education research are not always quantitative or continuous. Statistical methods using the log-linear model provide the institutional researcher with a powerful set of tools for addressing research questions when data are categorical. (Author/MSE)
Descriptors: Data Interpretation, Higher Education, Information Utilization, Institutional Research
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Bohannon, Tom R. – New Directions for Institutional Research, 1988
Regression analysis is one of the most frequently used statistical techniques in institutional research. Principles of least squares, model building, residual analysis, influence statistics, and multi-collinearity are described and illustrated. (Author/MSE)
Descriptors: Guidelines, Higher Education, Institutional Research, Least Squares Statistics
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Moline, Arlett E. – New Directions for Institutional Research, 1988
Path analysis and linear structural relations (LISREL) provide the institutional researcher with some extremely powerful statistical tools. However, they must be applied and interpreted carefully with a full understanding of their limitations and the statistical assumptions on which they are based. (Author)
Descriptors: Data Interpretation, Higher Education, Institutional Research, Models
Goolsby, Thomas M., Jr.
The relationship between total scores and interrelationships among certain similarly named subtests of the Metropolitan and Stanford Achievement Tests are considered. The correlation of total scores for the two batteries was .89, indicating that the batteries measure essentially the same things. If one were interested in selecting a battery to…
Descriptors: Achievement Tests, Correlation, Curriculum Evaluation, Diagnostic Tests
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