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 _____.

Which of the following statements best explains why a researcher might commit a Type I error, even if their study has no design flaws or bias?

Dr. Carter conducts an experiment to see if listening to classical music while studying improves test scores. In reality, classical music has no effect on test scores (the null hypothesis is true in the population). However, due to random sampling error, Dr. Carter's sample happens to perform extremely well, resulting in a statistically significant difference with $p < .05$. Dr. Carter rejects the null hypothesis and concludes that classical music improves test scores. In this scenario, Dr. Carter has committed a(n) ____.

A research team is planning several methodological approaches to a study. Analyze how each design choice or statistical scenario affects the probability of committing a Type I error, and match the scenario to its corresponding impact on the Type I error rate.