NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 8 results Save | Export
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
Rozell, Timothy G.; Johnson, Jessica; Sexten, Andrea; Rhodes, Ashley E. – Journal of College Science Teaching, 2017
Students in a junior- and senior-level Anatomy and Physiology course have the opportunity to correct missed exam questions ("regrade") and earn up to half of the original points missed. The three objectives of this study were to determine if: (a) performance on the regrade assignment was correlated with scores on subsequent exams, (b)…
Descriptors: Physiology, Scores, Grades (Scholastic), Exit Examinations
Peer reviewed Peer reviewed
Direct linkDirect link
Zaidi, Nikki B.; Hwang, Charles; Scott, Sara; Stallard, Stefanie; Purkiss, Joel; Hortsch, Michael – Anatomical Sciences Education, 2017
Bloom's taxonomy was adopted to create a subject-specific scoring tool for histology multiple-choice questions (MCQs). This Bloom's Taxonomy Histology Tool (BTHT) was used to analyze teacher- and student-generated quiz and examination questions from a graduate level histology course. Multiple-choice questions using histological images were…
Descriptors: Taxonomy, Anatomy, Graduate Students, Scoring Formulas
Saupe, Joe L.; Eimers, Mardy T. – Association for Institutional Research (NJ1), 2011
Critics of testing for admission purposes cite the moderate correlations of admissions test scores with success in college. In response, this study applies formulas from classical measurement theory to observed correlations to correct for restricted variances in predictor and success variables. Estimates of the correlations in the population of…
Descriptors: High School Graduates, College Entrance Examinations, Scores, Correlation
Peer reviewed Peer reviewed
Direct linkDirect link
Kreiner, Svend – Applied Psychological Measurement, 2011
To rule out the need for a two-parameter item response theory (IRT) model during item analysis by Rasch models, it is important to check the Rasch model's assumption that all items have the same item discrimination. Biserial and polyserial correlation coefficients measuring the association between items and restscores are often used in an informal…
Descriptors: Item Analysis, Correlation, Item Response Theory, Models
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
Roudabush, Glenn E. – 1975
The objective of this study was to show that standardized reading scores could be adequately estimated from scores on a criterion-referenced test in reading. This would reduce classroom test time, while, at the same time, provide the kinds of information teachers need to guide instruction, and the kinds of information administrators require for…
Descriptors: Achievement Tests, Correlation, Criterion Referenced Tests, Equated Scores
Rippey, Robert M. – 1971
Technical improvements, which may be made in the reliability and validity of tests through confidence scores, are discussed. However, studies indicate that subjects do not handle their confidence uniformly. (MS)
Descriptors: Computer Programs, Confidence Testing, Correlation, Difficulty Level