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contiguity"],"description":["Maximum temporal and spatial contiguity condition (reordering of the original\n  4x4 design). Kachergis, Yu, & Shiffrin (2009). Temporal contiguity in\n  cross-situational statistical learning. Proceedings of the 31st Annual Meeting\n  of the Cognitive Science Society."],"response_matrix":{}},{"train":{"words":[[4,15,5,8],[4,7,5,8],[9,7,10,8],[17,7,10,8],[5,3,10,17],[16,3,10,4],[16,5,18,4],[16,11,14,18],[3,11,14,18],[3,12,14,1],[3,12,7,1],[13,15,7,1],[13,2,9,1],[13,2,4,8],[11,2,13,16],[6,2,13,10],[6,2,9,18],[11,2,9,17],[10,1,9,17],[5,1,9,14],[5,17,12,14],[16,17,12,15],[16,14,6,15],[4,11,6,15],[7,18,6,15],[12,18,6,3],[11,8,12,13]],"objects":[[4,15,5,8],[4,7,5,8],[9,7,10,8],[17,7,10,8],[5,3,10,17],[16,3,10,4],[16,5,18,4],[16,11,14,18],[3,11,14,18],[3,12,14,1],[3,12,7,1],[13,15,7,1],[13,2,9,1],[13,2,4,8],[11,2,13,16],[6,2,13,10],[6,2,9,18],[11,2,9,17],[10,1,9,17],[5,1,9,14],[5,17,12,14],[16,17,12,15],[16,14,6,15],[4,11,6,15],[7,18,6,15],[12,18,6,3],[11,8,12,13]]},"test":[],"accuracy":[0.4062,0.375,0.5,0.3438,0.4375,0.4375,0.5938,0.4375,0.4375,0.375,0.375,0.4375,0.3125,0.2812,0.4688,0.2812,0.1875,0.5938],"n_subj":[32],"label":["4_no_spat_orig_max_tc"],"condition":["temporal contiguity only"],"description":["Maximum temporal contiguity without spatial contiguity -- same training order\n  as 1_max_temp_spat_cont_orig, but referent screen positions were not held\n  contiguous. Kachergis, Yu, & Shiffrin (2009). Temporal contiguity in\n  cross-situational statistical learning. Proceedings of the 31st Annual Meeting\n  of the Cognitive Science Society."],"response_matrix":{}},{"train":{"words":[[1,2],[7,5],[3,4],[5,6],[1,3],[7,8],[1,2],[3,4],[5,6],[2,4],[7,8],[1,2],[8,6],[3,4],[5,6],[7,8]],"objects":[[1,2],[7,5],[3,4],[5,6],[1,3],[7,8],[1,2],[3,4],[5,6],[2,4],[7,8],[1,2],[8,6],[3,4],[5,6],[7,8]]},"test":[],"accuracy":[0.34,0.34,0.34,0.34,0.34,0.34,0.34,0.34],"n_subj":[84],"label":["Suanda2014-lowCD"],"condition":["2x2 low CD"],"description":["2 words and 2 objects per training trial; 8 low contextual-diversity pairs. Accuracy is the reported group mean (no per-item breakdown available in this dataset), replicated across items. Suanda, S. H., Mugwanya, N., & Namy, L. L. (2014).\n  Cross-situational statistical word learning in young children. Journal of\n  Experimental Child Psychology, 126, 395-411.\n  https://doi.org/10.1016/j.jecp.2014.06.003"],"response_matrix":{}},{"train":{"words":[[1,2],[6,8],[3,4],[5,6],[7,8],[6,7],[1,2],[3,4],[5,6],[7,8],[1,3],[5,8],[1,4],[2,3],[5,7],[2,4]],"objects":[[1,2],[6,8],[3,4],[5,6],[7,8],[6,7],[1,2],[3,4],[5,6],[7,8],[1,3],[5,8],[1,4],[2,3],[5,7],[2,4]]},"test":[],"accuracy":[0.39,0.39,0.39,0.39,0.39,0.39,0.39,0.39],"n_subj":[84],"label":["Suanda2014-medCD"],"condition":["2x2 med CD"],"description":["2 words and 2 objects per training trial; 8 medium contextual-diversity pairs. Accuracy is the reported group mean (no per-item breakdown available in this dataset), replicated across items. Suanda, S. H., Mugwanya, N., & Namy, L. L. (2014).\n  Cross-situational statistical word learning in young children. Journal of\n  Experimental Child Psychology, 126, 395-411.\n  https://doi.org/10.1016/j.jecp.2014.06.003"],"response_matrix":{}},{"train":{"words":[[5,7],[1,2],[6,7],[3,4],[5,6],[7,8],[1,3],[2,6],[1,4],[3,7],[1,5],[4,8],[2,3],[6,8],[2,4],[5,8]],"objects":[[5,7],[1,2],[6,7],[3,4],[5,6],[7,8],[1,3],[2,6],[1,4],[3,7],[1,5],[4,8],[2,3],[6,8],[2,4],[5,8]]},"test":[],"accuracy":[0.48,0.48,0.48,0.48,0.48,0.48,0.48,0.48],"n_subj":[84],"label":["Suanda2014-hiCD"],"condition":["2x2 high CD"],"description":["2 words and 2 objects per training trial; 8 high contextual-diversity pairs. Accuracy is the reported group mean (no per-item breakdown available in this dataset), replicated across items. Suanda, S. H., Mugwanya, N., & Namy, L. L. (2014).\n  Cross-situational statistical word learning in young children. Journal of\n  Experimental Child Psychology, 126, 395-411.\n  https://doi.org/10.1016/j.jecp.2014.06.003"],"response_matrix":{}},{"train":{"words":[[1],[1],[1],[1],[1],[1],[2],[2],[2],[2],[2],[2],[3],[3],[3],[3],[3],[3],[4],[4],[4],[4],[4],[4],[5],[5],[5],[5],[5],[5],[6],[6],[6],[6],[6],[6],[7],[7],[7],[7],[7],[7],[8],[8],[8],[8],[8],[8]],"objects":[[1,9,10,11],[1,12,13,14],[1,15,16,17],[1,2,3,4],[1,2,5,6],[1,2,7,8],[2,10,11,12],[2,13,14,15],[2,16,17,1],[2,3,4,5],[2,3,6,7],[2,3,8,9],[3,11,12,13],[3,14,15,16],[3,17,1,2],[3,4,5,6],[3,4,7,8],[3,4,9,10],[4,12,13,14],[4,15,16,17],[4,1,2,3],[4,5,6,7],[4,5,8,9],[4,5,10,11],[5,13,14,15],[5,16,17,1],[5,2,3,4],[5,6,7,8],[5,6,9,10],[5,6,11,12],[6,14,15,16],[6,17,1,2],[6,3,4,5],[6,7,8,9],[6,7,10,11],[6,7,12,13],[7,15,16,17],[7,1,2,3],[7,4,5,6],[7,8,9,10],[7,8,11,12],[7,8,13,14],[8,16,17,1],[8,2,3,4],[8,5,6,7],[8,9,10,11],[8,9,12,13],[8,9,14,15]]},"test":[],"accuracy":[0.1795,0.1795,0.1795,0.1795,0.1795,0.1795,0.1795,0.1795],"n_subj":[64],"label":["Koehne2013-aaappp"],"condition":["AAAPPP (blocked, A-first)"],"description":["2 train/test blocks, 8 words each; 1 word and 4 objects per trial; 6 repetitions per word; 2 meanings per word: one present whenever the word is heard, one present only half the time; other objects appear only once with any other word. Manipulated the order in which trials including (P) and excluding (A) the 50%-referent were presented: blocked (AAAPPP/PPPAAA) vs. unblocked (APAPAP/PAPAPA), and whether the first encounter of a word was a P or A trial. Accuracy is the group mean across Experiments 1 and 2 (no per-item breakdown available in this dataset), replicated across items. Koehne, J., Trueswell, J. C., & Gleitman, L. R. (2013).\n  Multiple Proposal Memory in Observational Word Learning. Proceedings of the\n  Annual Meeting of the Cognitive Science Society, 35.\n  https://escholarship.org/uc/item/5gp8j5qs"],"response_matrix":{}},{"train":{"words":[[1],[1],[1],[1],[1],[1],[2],[2],[2],[2],[2],[2],[3],[3],[3],[3],[3],[3],[4],[4],[4],[4],[4],[4],[5],[5],[5],[5],[5],[5],[6],[6],[6],[6],[6],[6],[7],[7],[7],[7],[7],[7],[8],[8],[8],[8],[8],[8]],"objects":[[1,9,10,11],[1,2,3,4],[1,12,13,14],[1,2,5,6],[1,15,16,17],[1,2,7,8],[2,10,11,12],[2,3,6,7],[2,13,14,15],[2,3,8,9],[2,16,17,1],[2,3,4,5],[3,11,12,13],[3,4,5,6],[3,14,15,16],[3,4,7,8],[3,17,1,2],[3,4,9,10],[4,12,13,14],[4,5,6,7],[4,15,16,17],[4,5,8,9],[4,1,2,3],[4,5,10,11],[5,13,14,15],[5,6,7,8],[5,16,17,1],[5,6,9,10],[5,2,3,4],[5,6,11,12],[6,14,15,16],[6,7,8,9],[6,17,1,2],[6,7,10,11],[6,3,4,5],[6,7,12,13],[7,15,16,17],[7,8,9,10],[7,1,2,3],[7,8,11,12],[7,4,5,6],[7,8,13,14],[8,16,17,1],[8,9,10,11],[8,2,3,4],[8,9,12,13],[8,5,6,7],[8,9,14,15]]},"test":[],"accuracy":[0.2305,0.2305,0.2305,0.2305,0.2305,0.2305,0.2305,0.2305],"n_subj":[64],"label":["Koehne2013-apapap"],"condition":["APAPAP (unblocked, A-first)"],"description":["2 train/test blocks, 8 words each; 1 word and 4 objects per trial; 6 repetitions per word; 2 meanings per word: one present whenever the word is heard, one present only half the time; other objects appear only once with any other word. Manipulated the order in which trials including (P) and excluding (A) the 50%-referent were presented: blocked (AAAPPP/PPPAAA) vs. unblocked (APAPAP/PAPAPA), and whether the first encounter of a word was a P or A trial. Accuracy is the group mean across Experiments 1 and 2 (no per-item breakdown available in this dataset), replicated across items. Koehne, J., Trueswell, J. C., & Gleitman, L. R. (2013).\n  Multiple Proposal Memory in Observational Word Learning. Proceedings of the\n  Annual Meeting of the Cognitive Science Society, 35.\n  https://escholarship.org/uc/item/5gp8j5qs"],"response_matrix":{}},{"train":{"words":[[1],[1],[1],[1],[1],[1],[2],[2],[2],[2],[2],[2],[3],[3],[3],[3],[3],[3],[4],[4],[4],[4],[4],[4],[5],[5],[5],[5],[5],[5],[6],[6],[6],[6],[6],[6],[7],[7],[7],[7],[7],[7],[8],[8],[8],[8],[8],[8]],"objects":[[1,2,3,4],[1,9,10,11],[1,2,5,6],[1,12,13,14],[1,2,7,8],[1,15,16,17],[2,3,4,5],[2,10,11,12],[2,3,6,7],[2,13,14,15],[2,3,8,9],[2,16,17,1],[3,4,5,6],[3,11,12,13],[3,4,7,8],[3,14,15,16],[3,4,9,10],[3,17,1,2],[4,5,6,7],[4,12,13,14],[4,5,8,9],[4,15,16,17],[4,5,10,11],[4,1,2,3],[5,6,7,8],[5,13,14,15],[5,6,9,10],[5,16,17,1],[5,6,11,12],[5,2,3,4],[6,7,8,9],[6,14,15,16],[6,7,10,11],[6,17,1,2],[6,7,12,13],[6,3,4,5],[7,8,9,10],[7,15,16,17],[7,8,11,12],[7,1,2,3],[7,8,13,14],[7,4,5,6],[8,9,10,11],[8,16,17,1],[8,9,12,13],[8,2,3,4],[8,9,14,15],[8,5,6,7]]},"test":[],"accuracy":[0.2305,0.2305,0.2305,0.2305,0.2305,0.2305,0.2305,0.2305],"n_subj":[64],"label":["Koehne2013-papapa"],"condition":["PAPAPA (unblocked, P-first)"],"description":["2 train/test blocks, 8 words each; 1 word and 4 objects per trial; 6 repetitions per word; 2 meanings per word: one present whenever the word is heard, one present only half the time; other objects appear only once with any other word. Manipulated the order in which trials including (P) and excluding (A) the 50%-referent were presented: blocked (AAAPPP/PPPAAA) vs. unblocked (APAPAP/PAPAPA), and whether the first encounter of a word was a P or A trial. Accuracy is the group mean across Experiments 1 and 2 (no per-item breakdown available in this dataset), replicated across items. Koehne, J., Trueswell, J. C., & Gleitman, L. R. (2013).\n  Multiple Proposal Memory in Observational Word Learning. Proceedings of the\n  Annual Meeting of the Cognitive Science Society, 35.\n  https://escholarship.org/uc/item/5gp8j5qs"],"response_matrix":{}},{"train":{"words":[[1],[1],[1],[1],[1],[1],[2],[2],[2],[2],[2],[2],[3],[3],[3],[3],[3],[3],[4],[4],[4],[4],[4],[4],[5],[5],[5],[5],[5],[5],[6],[6],[6],[6],[6],[6],[7],[7],[7],[7],[7],[7],[8],[8],[8],[8],[8],[8]],"objects":[[1,2,3,4],[1,2,5,6],[1,2,7,8],[1,9,10,11],[1,12,13,14],[1,15,16,17],[2,3,4,5],[2,3,6,7],[2,3,8,9],[2,10,11,12],[2,13,14,15],[2,16,17,1],[3,4,5,6],[3,4,7,8],[3,4,9,10],[3,11,12,13],[3,14,15,16],[3,17,1,2],[4,5,6,7],[4,5,8,9],[4,5,10,11],[4,12,13,14],[4,15,16,17],[4,1,2,3],[5,6,7,8],[5,6,9,10],[5,6,11,12],[5,13,14,15],[5,16,17,1],[5,2,3,4],[6,7,8,9],[6,7,10,11],[6,7,12,13],[6,14,15,16],[6,17,1,2],[6,3,4,5],[7,8,9,10],[7,8,11,12],[7,8,13,14],[7,15,16,17],[7,1,2,3],[7,4,5,6],[8,9,10,11],[8,9,12,13],[8,9,14,15],[8,16,17,1],[8,2,3,4],[8,5,6,7]]},"test":[],"accuracy":[0.3215,0.3215,0.3215,0.3215,0.3215,0.3215,0.3215,0.3215],"n_subj":[64],"label":["Koehne2013-pppaaa"],"condition":["PPPAAA (blocked, P-first)"],"description":["2 train/test blocks, 8 words each; 1 word and 4 objects per trial; 6 repetitions per word; 2 meanings per word: one present whenever the word is heard, one present only half the time; other objects appear only once with any other word. Manipulated the order in which trials including (P) and excluding (A) the 50%-referent were presented: blocked (AAAPPP/PPPAAA) vs. unblocked (APAPAP/PAPAPA), and whether the first encounter of a word was a P or A trial. Accuracy is the group mean across Experiments 1 and 2 (no per-item breakdown available in this dataset), replicated across items. Koehne, J., Trueswell, J. C., & Gleitman, L. R. (2013).\n  Multiple Proposal Memory in Observational Word Learning. Proceedings of the\n  Annual Meeting of the Cognitive Science Society, 35.\n  https://escholarship.org/uc/item/5gp8j5qs"],"response_matrix":{}},{"train":{"words":[[15,10,13,18],[8,5,1,11],[13,14,15,16],[2,4,6,17],[5,16,14,18],[17,3,13,12],[8,4,3,9],[3,1,7,11],[16,6,12,2],[14,17,5,18],[6,5,10,12],[5,11,7,9],[16,4,18,13],[2,10,4,7],[4,1,3,9],[10,15,11,17],[13,2,18,8],[2,7,9,10],[12,8,4,2],[11,6,14,16],[12,3,6,7],[17,9,15,6],[7,8,14,11],[16,1,18,15],[1,5,12,8],[9,1,3,10],[15,14,17,13]],"objects":[[15,10,13,18],[8,5,1,11],[13,14,15,16],[2,4,6,17],[5,16,14,18],[17,3,13,12],[8,4,3,9],[3,1,7,11],[16,6,12,2],[14,17,5,18],[6,5,10,12],[5,11,7,9],[16,4,18,13],[2,10,4,7],[4,1,3,9],[10,15,11,17],[13,2,18,8],[2,7,9,10],[12,8,4,2],[11,6,14,16],[12,3,6,7],[17,9,15,6],[7,8,14,11],[16,1,18,15],[1,5,12,8],[9,1,3,10],[15,14,17,13]]},"test":[],"accuracy":[0.4516,0.1935,0.5484,0.2903,0.5161,0.2903,0.4194,0.1613,0.5484,0.1935,0.3548,0.3226,0.4194,0.2258,0.4194,0.0645,0.0968,0.1935],"n_subj":[31],"label":["1olap3tr_contr"],"condition":["1 overlap per 3 trials, contr"],"description":["Kachergis, G., Yu, C., & Shiffrin, R. M. (2009). Temporal contiguity in cross-situational statistical learning. Proceedings of the 31st Annual Meeting of the Cognitive Science Society. 4 words and 4 objects per training trial (symmetric design), 27 trials, 18-word vocabulary -- a reordering of the original 4x4 schedule manipulating how many trials separate a pair's repeated co-occurrences (temporal contiguity). This condition: 1 overlap per 3 trials, contr (control order). See data-raw/add_temporal_contiguity_overlap.R."],"response_matrix":{}},{"train":{"words":[[7,8,17,9],[15,10,13,6],[8,5,1,11],[13,14,15,16],[2,4,6,17],[5,16,14,3],[17,18,11,12],[4,3,8,9],[3,1,7,11],[16,6,12,2],[14,15,17,18],[5,6,10,12],[5,13,7,9],[16,4,1,3],[2,10,4,15],[14,18,3,13],[10,15,11,17],[1,2,7,8],[2,18,9,10],[13,12,14,4],[1,5,15,8],[9,1,6,10],[11,2,6,16],[12,13,18,7],[17,9,5,3],[7,16,14,11],[4,8,18,12]],"objects":[[7,8,17,9],[15,10,13,6],[8,5,1,11],[13,14,15,16],[2,4,6,17],[5,16,14,3],[17,18,11,12],[4,3,8,9],[3,1,7,11],[16,6,12,2],[14,15,17,18],[5,6,10,12],[5,13,7,9],[16,4,1,3],[2,10,4,15],[14,18,3,13],[10,15,11,17],[1,2,7,8],[2,18,9,10],[13,12,14,4],[1,5,15,8],[9,1,6,10],[11,2,6,16],[12,13,18,7],[17,9,5,3],[7,16,14,11],[4,8,18,12]]},"test":[],"accuracy":[0.2903,0.4194,0.2581,0.1613,0.3871,0.0968,0.4516,0.6452,0.2581,0.1935,0.2258,0.0645,0.2581,0.2581,0.3548,0.2581,0.3226,0.129],"n_subj":[31],"label":["temp_cont_1olap2tr_contr"],"condition":["1 overlap per 2 trials, contr"],"description":["Kachergis, G., Yu, C., & Shiffrin, R. M. (2009). Temporal contiguity in cross-situational statistical learning. Proceedings of the 31st Annual Meeting of the Cognitive Science Society. 4 words and 4 objects per training trial (symmetric design), 27 trials, 18-word vocabulary -- a reordering of the original 4x4 schedule manipulating how many trials separate a pair's repeated co-occurrences (temporal contiguity). This condition: 1 overlap per 2 trials, contr (control order). See data-raw/add_temporal_contiguity_overlap.R."],"response_matrix":{}},{"train":{"words":[[7,8,17,9],[15,10,13,6],[8,5,1,11],[13,14,15,16],[2,4,6,17],[5,16,14,3],[17,18,11,12],[3,8,4,9],[4,3,7,11],[16,1,12,2],[14,15,17,18],[5,6,10,12],[9,7,6,5],[16,13,1,3],[2,10,4,15],[14,18,3,13],[10,15,11,17],[1,2,7,8],[2,1,9,10],[18,12,6,4],[13,5,15,8],[9,1,14,10],[11,2,6,16],[12,13,18,7],[17,9,5,3],[7,16,14,11],[4,8,18,12]],"objects":[[7,8,17,9],[15,10,13,6],[8,5,1,11],[13,14,15,16],[2,4,6,17],[5,16,14,3],[17,18,11,12],[3,8,4,9],[4,3,7,11],[16,1,12,2],[14,15,17,18],[5,6,10,12],[9,7,6,5],[16,13,1,3],[2,10,4,15],[14,18,3,13],[10,15,11,17],[1,2,7,8],[2,1,9,10],[18,12,6,4],[13,5,15,8],[9,1,14,10],[11,2,6,16],[12,13,18,7],[17,9,5,3],[7,16,14,11],[4,8,18,12]]},"test":[],"accuracy":[0.4194,0.4839,0.3548,0.4839,0.4194,0.4194,0.2581,0.6774,0.3871,0.4194,0.5484,0.3548,0.2903,0.4194,0.4194,0.2581,0.5161,0.3226],"n_subj":[31],"label":["temp_cont_2olap2tr_contr"],"condition":["2 overlap per 2 trials, contr"],"description":["Kachergis, G., Yu, C., & Shiffrin, R. M. (2009). Temporal contiguity in cross-situational statistical learning. Proceedings of the 31st Annual Meeting of the Cognitive Science Society. 4 words and 4 objects per training trial (symmetric design), 27 trials, 18-word vocabulary -- a reordering of the original 4x4 schedule manipulating how many trials separate a pair's repeated co-occurrences (temporal contiguity). This condition: 2 overlap per 2 trials, contr (control order). See data-raw/add_temporal_contiguity_overlap.R."],"response_matrix":{}}]