View source: R/combineIATfourblocks.R
combineIATfourblocks | R Documentation |
The first step after importing IAT data is collapsing the IAT data into two variables, typically labeled “compatible” and “incompatible.” Data analysis for the IAT requires comparing responses in the "compatible" blocks against performance in the "incompatible" blocks. However, the Qualtrics IAT runs four permutations of the IAT, counterbalancing left/right starting positions of both targets and categories (although research has consistently failed to find any left/right bias on the IAT; e.g., Greenwald et al., 1998; Nosek et al., 2005). As a result of these four permutations, any one block of trials (e.g., the compatible critical block) is distributed across four variables. Thus, it must be combined back together. This is done with the combineIATfourblocks
function. Typically, four variables are of interest (compatible practice, incompatible practice, compatible critical, incompatible critical; see Greenwald et al., 2003; Nosek et al., 2005). Thus, we must create these four variables. The positioning of this information varies depending on the permutation. For example, if Target A starts on the right initially paired with the positive category (RP permutation), then the compatible block comes first and block 3 (RP.3) and block 4 (RP.4) contain compatible practice and critical blocks. However, if Target A starts on the right initially paired with negative (RN permutation), then the incompatible block comes first and this same information comes in blocks 6 and 7 (RN.6 and RN.7). The IAT analysis script (and examples below) have done the work of locating this information for you and are ready to run (so long as users do not alter variable names in the Qualtrics survey).
combineIATfourblocks(name1, name2, name3, name4)
name1 |
A vector of responses representing a critical block (either compatible or incompatible) of trials for one of the four IAT permutations. |
name2 |
A vector of responses representing a critical block (either compatible or incompatible) of trials for another of the four IAT permutations. |
name3 |
A vector of responses representing a critical block (either compatible or incompatible) of trials for another of the four IAT permutations. |
name4 |
A vector of responses representing a critical block (either compatible or incompatible) of trials for another of the four IAT permutations. |
Returns a single vector of responses that contains all four permutations collapsed into one vector.
Greenwald, A. G., McGhee, D. E., & Schwartz, J. L. K. (1998). Measuring individual differences in implicit cognition: The Implicit Association Test. Journal of Personality and Social Psychology, 74, 1464–1480. https://doi.org/10.1037/0022-3514.74.6.1464
Greenwald, A. G., Nosek, B. A., & Banaji, M. R. (2003). Understanding and using the Implicit Association Test: I. An improved scoring algorithm. Journal of Personality and Social Psychology, 85, 197–216. https://doi.org/10.1037/0022-3514.85.2.197
Nosek, B. A., Greenwald, A. G., & Banaji, M. R. (2005). Understanding and using the implicit association test: II. Method variables and construct validity. Personality and Social Psychology Bulletin, 31, 166–180. https://doi.org/10.1177/0146167204271418
See www.iatgen.wordpress.com for tutorials and files.
## Not run:
### Collapse IAT critical blocks down ####
dat$compatible.crit <- combineIATfourblocks(dat$Q4.RP4, dat$Q18.LP4, dat$Q14.RN7, dat$Q28.LN7)
dat$incompatible.crit <- combineIATfourblocks(dat$Q7.RP7, dat$Q21.LP7, dat$Q11.RN4, dat$Q25.LN4)
### Collapse IAT practice blocks ####
dat$compatible.prac <- combineIATfourblocks(dat$Q3.RP3, dat$Q17.LP3, dat$Q13.RN6, dat$Q27.LN6)
dat$incompatible.prac <- combineIATfourblocks(dat$Q6.RP6, dat$Q20.LP6, dat$Q10.RN3, dat$Q24.LN3)
## End(Not run)
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