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Direct linkSevero, Milton; Gaio, A. Rita; Povo, Ana; Silva-Pereira, Fernanda; Ferreira, Maria Amélia – Anatomical Sciences Education, 2015
In theory the formula scoring methods increase the reliability of multiple-choice tests in comparison with number-right scoring. This study aimed to evaluate the impact of the formula scoring method in clinical anatomy multiple-choice examinations, and to compare it with that from the number-right scoring method, hoping to achieve an…
Descriptors: Anatomy, Multiple Choice Tests, Scoring, Decision Making
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
Peer reviewedSerlin, Ronald C.; Kaiser, Henry F. – Educational and Psychological Measurement, 1978
When multiple-choice tests are scored in the usual manner, giving each correct answer one point, information concerning response patterns is lost. A method for utilizing this information is suggested. An example is presented and compared with two conventional methods of scoring. (Author/JKS)
Descriptors: Correlation, Factor Analysis, Item Analysis, Multiple Choice Tests
Download full textThompson, Janet G.; Weiss, David J. – 1980
The relative validity of adaptive and conventional testing strategies using non-test variables as one set of external criteria was investigated. A total of 101 college students completed both a variable length stradaptive test and peaked conventional test; a second group of 131 college students completed a variable length Bayesian adaptive test…
Descriptors: Achievement Tests, Adaptive Testing, College Entrance Examinations, Computer Assisted Testing
