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A randomized trial of humor effects on test anxiety and test performance

Authors: Ronald A Berk; Joy Nanda;

A randomized trial of humor effects on test anxiety and test performance

Abstract

AbstractThis investigation tested the hypothesis of humor effects on test anxiety to improve test performance. A pretest-posttest control group design was employed to determine differences between humorous and serious versions of the same test content. One graduate biostatistics course of 98 students participated. Based on three independent test administrations, ANCOVAs were computed to isolate the effects of humorous directions only, humorous items only, and the combination of both on emotional/physiological and worry/cognitive anxiety symptoms and biostatistics achievement. Humorous directions had a statistically significant (p < .05) impact on constructed-response item performance for the first test (descriptive statistics), with an effect size of .43. Multiple-choice test performance correlated negatively with the two pre-anxiety subscales (r = −.46, p < .001), explaining up to 21% of the variance. The limitations of very low pre-anxiety levels and very high test performance precluded any other significant effects. The contributions of the humor technique used in the study and the value of measuring situation-specific anxiety immediately before and after a real testing condition were discussed.

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Average
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