Related Experiment Video
Updated: Aug 20, 2026

Optimization of a Quantitative Micro-neutralization Assay
Published on: December 14, 2016
Information search in the testing of quantified hypotheses: how "all," "most," "some," "few," and "none" hypotheses
David M Sanbonmatsu1, Steven S Posavac, Sam Vanous
1Department of Psychology, University of Utah, 390 South 1530 East, Rm. 502, Salt Lake City, UT 84112-0251, USA. sanbonmatsu@psych.utah.edu
Abstract:
A series of experiments examined how the search for information in the testing of hypotheses is affected by quantifiers that specify the frequency of the test relation. The experiments showed that a positive search is used more in the testing of propositions in which some instances are predicted to have the test relation than in the testing of propositions in which most or few instances are predicted to have the test relation. In addition, the studies demonstrated that a negative or disconfirmatory search is more likely to characterize tests of absolute hypotheses than tests of hypotheses of the majority or minority form. Finally, the findings indicated that a negative search also is more common in tests of hypotheses predicting the absence rather than the presence of a phenomenon. Thus, as expected, participants generally engaged in a diagnostic search rather than the confirmatory search for information that has been so ubiquitous in previous research.
Related Concept Videos
Statistical Hypothesis Testing
Statistical significance measures the probability that an observed result occurred by chance. If this probability, known as...
Types of Hypothesis Testing
When the null and alternative hypotheses are stated, it is observed that the null hypothesis is a neutral statement against which the alternative hypothesis is tested. The alternative hypothesis is a claim that instead has a certain direction. If the null hypothesis claims that p = 0.5, the alternative hypothesis would be an opposing statement to this and can be put either p > 0.5, p < 0.5, or p ≠ 0.5.
Null and Alternative Hypotheses
The null hypothesis, denoted by H0 is a statement of no difference between the variables—they are not related. This can often be considered the status quo. As a result if you cannot accept the null, it requires some action.
The alternative hypothesis, denoted by H1 or Ha, is a claim about the population that is...
What is a Hypothesis?
Accuracy and Errors in Hypothesis Testing
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5% chance...
Hypothesis: Accept or Fail to Reject?
There are two ways to indicate that the null hypothesis is not rejected. 'Accept' the null hypothesis and 'fail to...

