Description Usage Arguments Details Author(s) References See Also Examples
Adapted from Roenker, Thompson, & Brown (1971). Computes ARC using the correct recall (N) of an individual or group. Also produces several other out-dated measures of category clustering and the componets of ARC (E(r), N, Repetitions, and Max).
Use when:
You want correct (1) items counted toward N - AND
There are NO intrusions present in data - OR
You want intrusions (blank NAs) to count as their own category but NOT toward N.
See "details" for more on the formula, notation definitions, and further explanation.
1 | ARC_correct(correct, category)
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correct |
Numeric vector representing correct (1) and incorrect (0) responses. |
category |
Numeric or character vector representing category membership of associated item in x column. |
ARC = [r − E(r)] / [max − E(r)]
E(r) = [ (∑ni^2) / N ] − 1
r = number of category repetitions
N = number of recalled items (ONLY correct)
c = number of recalled categories (including intrusions)
max = N − c and
ni = number of items recalled in each recalled category (including intrusions)
General - This will count category repetitions (but NOT repeated blank (NA) entries) and the correct N is used in all computations (max and E(r)) - BUT, blanks (NAs) will count as a category in E(r). Be sure data is properly processed (according to your protocol) before using.
Garrett. D Greeley
Ph.D. Student - Cognitive Science
Stony Brook University, NY
Roenker, D. L., Thompson, C. P., & Brown, S. C. (1971). Comparison of measures for the estimation of clustering in free recall. Psychological Bulletin, 76(1), 45–48. https://doi.org/10.1037/h0031355
ARC_correct_intrude()
ARC_total()
ARC_total_intrude()
1 2 3 4 5 6 | Data adapted from Roenker et al. (1971) - Also see ARC_3SE and other example data in the package for more examples and formatting.
recall_correct <- c(1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1)
recall_category <- c("a","a", NA ,"a","a","b","a","c","b","b","b","b","c","b","c","c","c","c")
ARC_correct(recall_correct, recall_category)
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