Confirmation, disconfirmation, and information in hypothesis testing
Klayman and Ha analyse hypothesis testing and describe a positive test strategy, examining cases expected to have the property of interest. They argue it is often a good way to determine whether a hypothesis is true or false under realistic conditions, that it can produce systematic errors and inefficiencies, and that whether a strategy is appropriate depends on its interaction with the task. The paper is analytical and reports no sample.
Klayman and Ha analyse hypothesis testing and describe a positive test strategy, examining cases expected to have the property of interest. They argue it is often a good way to determine whether a hypothesis is true or false under realistic conditions, that it can produce systematic errors and inefficiencies, and that whether a strategy is appropriate depends on its interaction with the task. The paper is analytical and reports no sample.
Written from the abstract as recorded in the vault concept note The Positive Test Strategy, 2026-10-31.
What our sources record
Recorded when this source was checked, figures included, with page references and quotation marks removed.
Klayman, J., & Ha, Y.-W. (1987). Confirmation, disconfirmation, and information in hypothesis testing. Psychological Review, 94(2), 211-228. doi:10.1037/0033-295X.94.2.211.