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Cipriani, Giam Pietro – Journal of Economic Education, 2018
A considerable literature in economics and psychology observes substantial gender differences in risk aversion, confidence, and responses to high pressure. In the educational measurement literature, it has been argued that these differences could disadvantage female students when taking multiple-choice tests, especially if there is a penalty for…
Descriptors: Gender Differences, Guessing (Tests), Academic Failure, Multiple Choice Tests
Smith, Ben O.; Wagner, Jamie – Journal of Economic Education, 2018
In 2016, Walstad and Wagner developed a procedure to split pre-test and post-test responses into four learning types: positive, negative, retained, and zero learning. This disaggregation is not only useful in academic studies; but also provides valuable insight to the practitioner: an instructor would take different mitigating actions in response…
Descriptors: Pretests Posttests, Value Added Models, Guessing (Tests), Monte Carlo Methods
Walstad, William B.; Rebeck, Ken – Journal of Economic Education, 2017
The "Test of Financial Literacy" (TFL) was created to measure the financial knowledge of high school students. Its content is based on the standards and benchmarks stated in the "National Standards for Financial Literacy" (Council for Economic Education 2013). The test development process involved extensive item writing and…
Descriptors: Tests, Money Management, Literacy, High School Students
Butters, Roger B.; Walstad, William B. – Journal of Economic Education, 2011
Interest is growing at the precollege level in computer testing (CT) instead of paper-and-pencil testing (PT) for subjects in the school curriculum, including economics. Before economic educators adopt CT, a better understanding of its likely effects on test-taking behavior and performance compared with PT is needed. Using two volunteer student…
Descriptors: Computer Assisted Testing, Economics Education, Grade 8, Grade 9

Reid, Frank J. – Journal of Economic Education, 1976
Examines the conventional scoring formula for multiple-choice tests and proposes an alternative scoring formula which takes into account the situation in which the student does not know the right answer but is able to eliminate one or more of the incorrect alternatives. (Author/AV)
Descriptors: Economics Education, Guessing (Tests), Higher Education, Multiple Choice Tests