NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Researchers1
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing 1 to 15 of 24 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Polat, Murat; Turhan, Nihan S.; Toraman, Cetin – Pegem Journal of Education and Instruction, 2022
Testing English writing skills could be multi-dimensional; thus, the study aimed to compare students' writing scores calculated according to Classical Test Theory (CTT) and Multi-Facet Rasch Model (MFRM). The research was carried out in 2019 with 100 university students studying at a foreign language preparatory class and four experienced…
Descriptors: Comparative Analysis, Test Theory, Item Response Theory, Student Evaluation
Peer reviewed Peer reviewed
Direct linkDirect link
Lee, Minji K.; Sweeney, Kevin; Melican, Gerald J. – Educational Assessment, 2017
This study investigates the relationships among factor correlations, inter-item correlations, and the reliability estimates of subscores, providing a guideline with respect to psychometric properties of useful subscores. In addition, it compares subscore estimation methods with respect to reliability and distinctness. The subscore estimation…
Descriptors: Scores, Test Construction, Test Reliability, Test Validity
Peer reviewed Peer reviewed
Direct linkDirect link
Sinharay, Sandip; Haberman, Shelby J. – International Journal of Testing, 2014
Recently there has been an increasing level of interest in subtest scores, or subscores, for their potential diagnostic value. Haberman (2008) suggested a method to determine if a subscore has added value over the total score. Researchers have often been interested in the performance of subgroups--for example, those based on gender or…
Descriptors: Scores, Achievement Tests, Language Tests, English (Second Language)
Peer reviewed Peer reviewed
Direct linkDirect link
Sinharay, Sandip – Journal of Educational Measurement, 2010
Recently, there has been an increasing level of interest in subscores for their potential diagnostic value. Haberman suggested a method based on classical test theory to determine whether subscores have added value over total scores. In this article I first provide a rich collection of results regarding when subscores were found to have added…
Descriptors: Scores, Test Theory, Simulation, Reliability
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Kelcey, Ben; McGinn, Daniel; Hill, Heather – Society for Research on Educational Effectiveness, 2013
Recent policy has charged schools and districts with maintaining highly qualified teachers and differentiating among teachers in terms of their effectiveness (U.S. Department of Education, 2009). This emphasis has driven the development and implementation of teacher quality measures which are increasingly being used to evaluate teachers with…
Descriptors: Teacher Effectiveness, Measures (Individuals), Observation, Teacher Evaluation
Sinharay, Sandip – Educational Testing Service, 2010
Recently, there has been an increasing level of interest in subscores for their potential diagnostic value. Haberman (2008) suggested a method based on classical test theory to determine whether subscores have added value over total scores. This paper provides a literature review and reports when subscores were found to have added value for…
Descriptors: Scores, Correlation, Reliability, Item Response Theory
Peer reviewed Peer reviewed
Direct linkDirect link
He, Qingping; Hayes, Malcolm; Wiliam, Dylan – Research Papers in Education, 2013
The accuracy of the results of the national tests in English, mathematics and science taken by 11-year olds in England has been a matter of much debate since their introduction in 1994, with estimates of the proportion of students incorrectly classified varying from 10 to 30%. Using live data from the 2009 and 2010 administration of the national…
Descriptors: Foreign Countries, National Curriculum, Accuracy, Classification
Peer reviewed Peer reviewed
Direct linkDirect link
Sussman, Joshua; Beaujean, A. Alexander; Worrell, Frank C.; Watson, Stevie – Measurement and Evaluation in Counseling and Development, 2013
Item response models (IRMs) were used to analyze Cross Racial Identity Scale (CRIS) scores. Rasch analysis scores were compared with classical test theory (CTT) scores. The partial credit model demonstrated a high goodness of fit and correlations between Rasch and CTT scores ranged from 0.91 to 0.99. CRIS scores are supported by both methods.…
Descriptors: Item Response Theory, Test Theory, Measures (Individuals), Racial Identification
Green-Gibson, Andrea – ProQuest LLC, 2011
This mixed, causal-comparative study was an investigation of culture infusion methods and AYP of two different public schools in Chicago, a school that infuses African culture and a school that does not. The purpose of the study was to identify if there was a significant causative relationship between culture infusion methods and Adequate Yearly…
Descriptors: Urban Schools, Public Schools, Correlation, Academic Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
Wiberg, Marie; Sundstrom, Anna – Practical Assessment, Research & Evaluation, 2009
A common problem in predictive validity studies in the educational and psychological fields, e.g. in educational and employment selection, is restriction in range of the predictor variables. There are several methods for correcting correlations for restriction of range. The aim of this paper was to examine the usefulness of two approaches to…
Descriptors: Predictive Validity, Predictor Variables, Correlation, Mathematics
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Haberman, Shelby J. – ETS Research Report Series, 2008
In educational testing, subscores may be provided based on a portion of the items from a larger test. One consideration in evaluation of such subscores is their ability to predict a criterion score. Two limitations on prediction exist. The first, which is well known, is that the coefficient of determination for linear prediction of the criterion…
Descriptors: Scores, Validity, Educational Testing, Correlation
Peer reviewed Peer reviewed
Direct linkDirect link
Biswas, Ajoy Kumar – Applied Psychological Measurement, 2006
This article studies the ordinal reliability of (total) test scores. This study is based on a classical-type linear model of observed score (X), true score (T), and random error (E). Based on the idea of Kendall's tau-a coefficient, a measure of ordinal reliability for small-examinee populations is developed. This measure is extended to large…
Descriptors: True Scores, Test Theory, Test Reliability, Scores
Peer reviewed Peer reviewed
Frary, Robert B.; Zimmerman, Donald W. – Educational and Psychological Measurement, 1984
The correlation between bias components of test scores and unbiased observed scores is shown to be an effective predictor of changes in reliability and validity resulting from elimination of bias. Plausible assumptions about value of correlation and size of related variance components indicate that reducation in reliability and validity is a…
Descriptors: Correlation, Scores, Test Bias, Test Reliability
Peer reviewed Peer reviewed
Gardner, Robert C.; Erdle, Stephen – Educational and Psychological Measurement, 1986
This article evaluated criticisms by Stevens and Aleamoni (1986) of an article by Gardner and Erdle (1984) on aggregation using either raw or standard scores. It was demonstrated that their criticisms were unfounded. (Author)
Descriptors: Correlation, Factor Analysis, Raw Scores, Scores
Peer reviewed Peer reviewed
Spencer, Bruce D. – Journal of Educational Measurement, 1983
Because test scores are ordinal not cordinal attributes, the average test score often is a misleading way to summarize the scores of a group of individuals. Similarly, correlation coefficients may be misleading summary measures of association between test scores. Proper, readily interpretable, summary statistics are developed from a theory of…
Descriptors: Correlation, Measurement Techniques, Scores, Statistical Analysis
Previous Page | Next Page ยป
Pages: 1  |  2