It Pays to Switch? Consequences of Changing Answers on Multiple-Choice Examinations

1972 ◽  
Vol 31 (2) ◽  
pp. 667-673 ◽  
Author(s):  
Russell Foote ◽  
Charles Belinky

Common observation indicates a widely held folk-admonition among students and teachers that it is unwise to switch answers to questions on multiple-choice tests because the first response selected is more apt to be correct than a subsequently selected alternative answer. With Ss from two introductory college psychology courses which differed in terms of instructors, format of tests used, and enrollment (222 vs 162), it was found that across four examinations in each of the courses: (a) about 55% of all changes of answers made were positive (i.e., from an incorrect to the correct alternative), (b) approximately 24% of all changes made were neutral (i.e., from one wrong alternative to another such answer), and (c) less than 22% of all changes made were negative (i.e., from an initially correct answer to an erroneous response). In addition, to provide this information—which clearly invalidates the folk-admonition to students—did not alter the average rate at which they switched answers.

1984 ◽  
Vol 54 (2) ◽  
pp. 419-425
Author(s):  
R. A. Weitzman

In an ideal multiple-choice test, defined as a multiple-choice test containing only items with options that are all equally guessworthy, the probability of guessing the correct answer to an item is equal to the reciprocal of the number of the item's options. This article presents an asymptotically exact estimator of the test-retest reliability of an ideal multiple-choice test. When all test items have the same number of options, computation of the estimator requires, in addition to the number of options per item, the same information as computation of the Kuder-Richardson Formula 21: the total number of items answered correctly on a single testing occasion by each person tested. Both for ideal multiple-choice tests and for nonideal multiple-choice tests for which the average probability of guessing the correct answer to an item is equal to the reciprocal of the number of options per item, Monte Carlo data show that the estimator is considerably more accurate than the Kuder-Richardson Formula 21 and, in fact, is very nearly exact in populations of the order of 1000 persons.


1968 ◽  
Author(s):  
J. Brown Grier ◽  
Raymond Ditrichs

2009 ◽  
Author(s):  
Jeri L. Little ◽  
Elizabeth Ligon Bjork ◽  
Ashley Kees

1997 ◽  
Vol 74 (10) ◽  
pp. 1185 ◽  
Author(s):  
Gaspard T. Rizzuto ◽  
Fred Walters

2021 ◽  
Vol 105 ◽  
pp. 104439
Author(s):  
Tram Nguyen ◽  
Toan Bui ◽  
Hamido Fujita ◽  
Tzung-Pei Hong ◽  
Ho Dac Loc ◽  
...  

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