File Drawer Problem

p-hacking

Replication of Studies in Psychology

Example of Type I and Type II Errors

In null hypothesis testing, which of the following best defines a Type I error?

A researcher evaluates a new cognitive training program that, in reality, has no effect on memory. Due to an unusual sample, the statistical analysis produces a significant result, causing the researcher to incorrectly conclude that the program works. This situation describes a Type I error.

To understand a Type I error, one must distinguish between the true state of the population and the decision made by the researcher. Match each component of a Type I error to the description that best explains its role.

A Type I error is the result of a specific logical failure during the hypothesis-testing process. Arrange the following events in the correct order to illustrate the progression of a Type I error, starting from the actual state of the population to the researcher's final conclusion.

You are designing a computer simulation to help students visualize the logic of statistical decision-making in psychology. To successfully create a scenario where the software can generate a Type I error, which combination of population characteristics and decision rules must you program into the model?

In psychological research, a Type I error is also known as a 'false positive.'

A researcher must decide between two significance levels for a study on a new behavioral therapy. They evaluate the trade-offs and conclude that it is more damaging to give patients 'false hope' with a treatment that does not work than to miss a potentially helpful therapy. To align with this evaluation, the researcher selects a lower $\alpha$ level to minimize the probability of a _____.