ageiat: Time Series Implicit Association Test (Age)

In MPsychoR: Modern Psychometrics with R

Description

The implicit association test (IAT) measures differential association of two target concepts with an attribute. The outcome measure is the IAT D-measure, here transformed to a Cohen's d). There are different types of IAT. This dataset contains outcomes from the age IAT (where most individuals have an implicit preference for young over old) collected on the ProjectImplicit platform (http://implicit.harvard.edu/) from January 2007 to December 2015. Within each each month the participants d-measures were averaged. This leads to a time series with 140 observations.

Usage

data("ageiat")

Format

A vector of Cohen's d-scores, measured at 108 points in time (January 2007 - December 2015).

Note

Thanks to Tessa Charlesworth and Mahzarin Banaji for sharing this dataset.

Source

Greenwald, A. G., & Banaji, M. R. (1995). Implicit social cognition: Attitudes, self-esteem, and stereotypes. Psychological Review, 102, 4-27.

Greenwald, A. G., McGhee, D.E., & Schwartz, J. K. L. (1998). Measuring individual differences in implicit cognition: The Implicit Association Test. Journal of Personality and Social Psychology, 74, 1464-1480.

Nosek, B. A., Banaji, M. R., & Greenwald, A. G. (2002). Harvesting implicit group attitudes and beliefs from a demonstration web site. Group Dynamics: Theory, Research, and Practice, 6, 101-115.

Examples

data("ageiat")
str(ageiat)

MPsychoR documentation built on June 15, 2020, 3 p.m.