Pairwise lexical similarity of construct definitions — tf_redundancy

Computes Jaccard similarity for every unordered pair of construct definitions. Returns a data frame with one row per pair, sorted by descending similarity then (a, b) ascending. The flag column is "review" when similarity meets or exceeds the configured redundancy_similarity_max threshold, otherwise "ok".

Usage

tf_redundancy_check(theory)

Arguments

theory: A theory object (named list).

Value

A data frame with columns a, b, similarity, flag.

References

Le, H., Schmidt, F. L., Harter, J. K., & Lauver, K. J. (2010). The problem of empirical redundancy of constructs. Organizational Behavior and Human Decision Processes, 112(2), 112-125. doi:10.1016/j.obhdp.2010.02.003

Lawson, K. M., & Robins, R. W. (2021). Sibling constructs. Personality and Social Psychology Review, 25(4), 344-366. doi:10.1177/10888683211047101

Examples

theory <- tf_theory("demo-1", "A demonstration theory") |>
  tf_add_construct("c_arousal", "Arousal",
                   "Bodily activation in response to a stressor.") |>
  tf_add_construct("c_threat", "Perceived threat",
                   "Appraised danger in response to a stressor.")
tf_redundancy_check(theory)
#>           a        b similarity flag
#> 1 c_arousal c_threat      0.333   ok