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A dataset of affordance production norms for 2,825 concrete English nouns, capturing how many and what kinds of actions each noun affords. Participants were asked to list all the actions they could perform with or on each object, producing both summary statistics (affordance set size, production counts) and per-noun ratings from previous norming studies.

Format

A data frame with 2825 rows and 11 variables.

Source

Maxwell, N.P., Huff, M.J., Hajnal, A., Namias, J.M., Blau, J.J.C., Day, B., Marsh, K.L., Meagher, B.R., Shelley-Tremblay, J.F., Thomas, G.F., & Wagman, J.B. (2024). Affordance norms for 2825 concrete nouns. Behavior Research Methods, 56, 8480–8491. doi:10.3758/s13428-024-02436-w

Details

The affordance-specific measures — affordance_count, n_affordance, n_participants, and afss (cue set size) — are unique dimensions not available in any other dictionary in this package. Body-object interaction (boi_mean), concreteness (concreteness_mean), word frequency (freq_zipf), age of acquisition (aoa_mean), and cue set size (qss) are included from the original dataset for convenience, though some overlap with other dictionaries.

Note: boi_mean has 23 missing values, freq_zipf has 162, aoa_mean has 85, and qss has 1,523 (over half the dataset).

Variables

  • term. the English concrete noun (lowercase)

  • n_participants. total number of participants who rated the noun

  • n_affordance. number of participants who named at least one affordance

  • affordance_count. total number of affordance responses produced

  • afss. affordance set size (number of participants providing responses for the cue)

  • boi_mean. mean body-object interaction rating (1–7 scale; NA for 23 nouns)

  • concreteness_mean. mean concreteness rating (1–5 scale)

  • freq_zipf. SUBTLEX-US Zipf frequency (NA for 162 nouns)

  • aoa_mean. mean age-of-acquisition in years (NA for 85 nouns)

  • qss. cue set size from free association norms (NA for 1,523 nouns)

  • source. data source attribution ("maxwell_2024")