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Livingston, Samuel A. – Journal of Educational and Behavioral Statistics, 2006
This article suggests a graphic technique that uses P-P plots to show the extent to which two groups differ on two variables. It can be used even if the variables are measured in completely different, noncomparable units. The comparison is symmetric with respect to the variables and the groups. It reflects the differences between the groups over…
Descriptors: Comparative Analysis, Groups, Differences, Graphs
Kirkland, Arleen; Stehr, B. W., Ed. – Bus Educ Forum, 1969
Descriptors: Business Education, Educational Testing, Grading, Student Evaluation
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Bell, R. DerMont – Business Education Forum, 1972
Descriptors: Business Education, Educational Testing, Testing Problems, Tests
Shapiro, Bernard J.; Shapiro, Phyllis P. – Elem Sch J, 1970
Opposes Holt's suggestion to eliminate testing; states that the evils he suggested are not inherent in testing but in test administration and interpretation. Supports material-imbedded tests using unobtrusive measures. (MH)
Descriptors: Educational Practices, Educational Testing, Testing, Testing Problems
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Munz, D. C.; Jacobs, P. D. – British Journal of Educational Psychology, 1971
Descriptors: Anxiety, Educational Testing, Item Analysis, Test Construction
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Ackerman, Terry – Applied Psychological Measurement, 1996
This paper illustrates how graphical analyses can enhance the interpretation and understanding of multidimensional item response theory (IRT) analyses. Examples of different graphical representations are presented, including item response surfaces, information vectors, and centroid plots of trait distributions. All graphs are intended to…
Descriptors: Data Analysis, Educational Testing, Item Response Theory
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McCoy, Keith M. – Popular Measurement, 2000
Discusses the relationship between statistics and measurement for educators and test developers in particular. Using both approaches can develop linear measures and provide further analyses of the developed measures. (SLD)
Descriptors: Educational Testing, Measurement Techniques, Statistics, Test Construction
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Bartolucci, Francesco; Forcina, Antonio – Psychometrika, 2005
The assumptions underlying item response theory (IRT) models may be expressed as a set of equality and inequality constraints on the parameters of a latent class model. It is well known that the same assumptions imply that the parameters of the manifest distribution have to satisfy a more complicated set of inequality constraints which, however,…
Descriptors: Inferences, Educational Testing, Item Response Theory, Models
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Von Davier, Matthias; Yamamoto, Kentaro – Applied Psychological Measurement, 2004
The generalized partial-credit model (GPCM) is used frequently in educational testing and in large-scale assessments for analyzing polytomous data. Special cases of the generalized partial-credit model are the partial-credit model--or Rasch model for ordinal data--and the two parameter logistic (2PL) model. This article extends the GPCM to the…
Descriptors: Educational Testing, Item Response Theory, Models, Measurement
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Driscoll, Donna; Halcoussis, Dennis; Svorny, Shirley – Economics of Education Review, 2008
In many states, standardized tests are used to hold schools accountable for student academic achievement. To motivate improvement in test scores, financial awards are given to teachers and administrators in schools that show the greatest gains. However, failure to adjust for initial conditions may put awards out of the reach of some schools and…
Descriptors: Awards, Standardized Tests, Academic Achievement, Accountability
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Cole, James S.; Bergin, David A.; Whittaker, Tiffany A. – Contemporary Educational Psychology, 2008
We investigated motivation for taking low stakes tests. Based on expectancy-value theory, we expected that the effect of student perceptions of three task values (interest, usefulness, and importance) on low stakes test performance would be mediated by the student's reported effort. We hypothesized that all three task value components would play a…
Descriptors: Undergraduate Students, Student Motivation, Scores, Predictor Variables
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Liu, Yuming; Schulz, E. Matthew; Yu, Lei – Journal of Educational and Behavioral Statistics, 2008
A Markov chain Monte Carlo (MCMC) method and a bootstrap method were compared in the estimation of standard errors of item response theory (IRT) true score equating. Three test form relationships were examined: parallel, tau-equivalent, and congeneric. Data were simulated based on Reading Comprehension and Vocabulary tests of the Iowa Tests of…
Descriptors: Reading Comprehension, Test Format, Markov Processes, Educational Testing
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Marshall, Bethan – English Teaching: Practice and Critique, 2008
This article looks at the controversial starting of testing, its boycott, the subsequent years of protest and, in October 2008, the apparent end of key stage examining in England. It considers a possible alternative to the tests based on a project carried out at King's College London based on portfolio assessment.
Descriptors: Portfolio Assessment, Alternative Assessment, English Instruction, Evaluation Methods
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Hwang, Gwo-Jen; Chu, Hui-Chun; Yin, Peng-Yeng; Lin, Ji-Yu – Computers & Education, 2008
The national certification tests and entrance examinations are the most important tests for proving the ability or knowledge level of a person. To accurately evaluate the professional skills or knowledge level, the composed test sheets must meet multiple assessment criteria such as the ratio of relevant concepts to be evaluated and the estimated…
Descriptors: Item Banks, Knowledge Level, Educational Testing, Evaluation Criteria
Behrens, John T.; Mislevy, Robert J.; DiCerbo, Kristen E.; Levy, Roy – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2010
The world in which learning and assessment must take place is rapidly changing. The digital revolution has created a vast space of interconnected information, communication, and interaction. Functioning effectively in this environment requires so-called 21st century skills such as technological fluency, complex problem solving, and the ability to…
Descriptors: Evidence, Student Evaluation, Educational Assessment, Influence of Technology
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