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Cross-situational word learning experiment data

Usage

xsl_datasets

Format

An object of class list of length 47.

Details

Most conditions are scored with get_perf() (choice among all objects). Conditions whose test offered only some of the objects carry a test specification – for each tested word, the objects offered – and are scored with mafc_test(): the four 4AFC conditions (211-214), and the 12 filtering conditions (filt*E_*L; Kachergis, Yu, & Shiffrin, 2012). In the filtering conditions each word co-occurs with its own object and its partner's, and was tested twice: with the partner's object absent (items 1-12, own object correct) and with its own object absent (items 13-24, partner's object correct; test$correct), so accuracy has 24 entries (see data-raw/fix_filtering_tests.R). Condition 214's participants were tested with condition 213's 4AFC displays, so the two share a test (see data-raw/fix_4afc_tests.R).

Every condition also carries a response_matrix: for each test item, how many participants chose each object, from which accuracy is exactly recoverable (see data-raw/fix_freqcd_add_responses.R and data-raw/raw_responses.R, which document the source files and each source's participant exclusions).