Simulating experimental data in R

Knowing how to simulate experimental data is an incredibly useful skill. Practically, it allows you to generate data that you can use to test your analysis scripts, making it easier to preregister those scripts along with your study plan. Theoretically, it provides you with an excellent opportunity to test your intuition about how data behaves in different experimental designs.

If Nazi = Red, and Canadian = Red, does Red = Good or Bad? Testing the limits of implicit attitude change using the Implicit Association Test

Abstract The present experiment tested the effects of indirect implicit attitude change on performance on the Implicit Association Test (IAT; Greenwald et al., 1998). The IAT is a subjective, indirect attitude measure widely used for business, research, and political purposes despite its unestablished construct validity and questionable reliability; thus, there is a growing need for research that identifies the cognitive mechanisms underlying IAT performance in order to assess its empirical value.

Are IAT Effects an artifact of design? Testing the impact of a rest period before reversing response assignments on the Implicit Association Test

Abstract Despite its popular use in academia, business, and politics, the Implicit Association Test (IAT; Greenwald et al., 1998) continues to suffer from a number of fundamental issues that give challenge to the test’s empirical value. The present research manipulated the difficulty of the IAT by introducing a rest period between the test’s congruent and incongruent blocks, in order to identify how the IAT’s design influences a test-taker’s performance.