**Read me** --------------- All trial-level data is provided after the application of clean-up steps described in the Results and Discussion. There are eight data files, and one R script containing analyses. **R code** ---------- > `analysis_1_and_2.R` Description: code for all analyses presented in the paper. ---------- **Data Files** --------------- > `stim_novel_compounds.csv` Description: stimuli list for novel compounds with sentences and lexical properties. - compound: novel compound - c1: compound’s left constituent - c2: compound’s right constituent - compound_id: compound’s id number - list: experimental list of the sentence (2 levels: A and B) - sentence: sentence frame compound was presented in - sent_pos: compound’s position in the sentence - context: the context type (2 levels: supportive and non-supportive) - entropy_c: compound’s entropy score in sentence context - entropy_i: compound’s entropy score in isolation - c1_freq: Wikipedia per million frequency of left constituent - c2_freq: Wikipedia per million frequency of right constituent - length: length of compound (in characters) - s_entropy_c: z-transformed entropy score of compound in sentence context - s_entropy_i: z-transformed entropy score of compound in isolation - s_c1_freq: z-transformed Wikipedia per million frequency of left constituent (logged) - s_c2_freq: z-transformed Wikipedia per million frequency of right constituent (logged) - s_length: z-transformed compound length - s_sent_pos: z-transformed compound’s position in the sentence ---------- > `stim_existing_compounds.csv` Description: stimuli list for existing compounds with sentences and lexical properties. - compound: existing compound - c1: compound’s left constituent - c2: compound’s right constituent - compound_id: compound’s id number - list: experimental list of the sentence (2 levels: A and B) - sentence: sentence frame compound was presented in - sent_pos: compound’s position in the sentence - context: the context type (2 levels: supportive and non-supportive) - entropy_c: compound’s entropy score in sentence context - entropy_i: compound’s entropy score in isolation - c1_freq: Wikipedia per million frequency of left constituent - c2_freq: Wikipedia per million frequency of right constituent - whole_freq: Wikipedia per million frequency of compound - length: length of compound (in characters) - left_whole: semantic transparency of left constituent - right_whole: semantic transparency of right constituent - s_entropy_c: z-transformed entropy score of compound in sentence context - s_entropy_i: z-transformed entropy score of compound in isolation - s_c1_freq: z-transformed Wikipedia per million frequency of left constituent (logged) - s_c2_freq: z-transformed Wikipedia per million frequency of right constituent (logged) - s_whole_freq: z-transformed Wikipedia per million frequency of compound (logged) - s_length: z-transformed compound length - s_left_whole: z-transformed semantic transparency of left constituent - s_right_whole: z-transformed semantic transparency of right constituent - s_sent_pos: z-transformed compound’s position in the sentence ---------- > `spr_dat_novel_compounds.csv` Description: trial-level self-paced reading data for novel compounds with sentences and lexical properties. - subject_id: participant ID - compound: novel compound - c1: compound’s left constituent - c2: compound’s right constituent - compound_id: compound’s id number - list: experimental list of the sentence (2 levels: A and B) - sentence: sentence frame compound was presented in - context: the context type (2 levels: supportive and non-supportive) - rt: reading time, in milliseconds - trial_number: trial number in experiment - sent_pos: compound’s position in the sentence - entropy_c: compound’s entropy score in sentence context - entropy_i: compound’s entropy score in isolation - c1_freq: Wikipedia per million frequency of left constituent - c2_freq: Wikipedia per million frequency of right constituent - length: length of compound (in characters) - pre_target_length: length of word preceding the target (in characters) - pre_target_Lfrequency: log word frequency of word preceding the target - s_entropy_c: z-transformed entropy score of compound in sentence context - s_entropy_i: z-transformed entropy score of compound in isolation - s_c1_freq: z-transformed Wikipedia per million frequency of left constituent (logged) - s_c2_freq: z-transformed Wikipedia per million frequency of right constituent (logged) - s_length: z-transformed compound length - s_trial_index: z-transformed trial number - s_sent_pos: z-transformed compound’s position in the sentence - s_pre_target_length: z-transformed length of word preceding the target (in characters) - s_pre_target_Lfrequency: z-transformed log word frequency of word preceding the target ---------- > `spr_dat_existing_compounds.csv` Description: trial-level self-paced reading data for existing compounds with sentences and lexical properties. - subject_id: participant ID - compound: novel compound - c1: compound’s left constituent - c2: compound’s right constituent - compound_id: compound’s id number - list: experimental list of the sentence (2 levels: A and B) - sentence: sentence frame compound was presented in - context: the context type (2 levels: supportive and non-supportive) - rt: reading time, in milliseconds - trial_number: trial number in experiment - sent_pos: compound’s position in the sentence - entropy_c: compound’s entropy score in sentence context - entropy_i: compound’s entropy score in isolation - c1_freq: Wikipedia per million frequency of left constituent - c2_freq: Wikipedia per million frequency of right constituent - whole_freq: Wikipedia per million frequency of compound - length: length of compound (in characters) - left_whole: semantic transparency of left constituent - right_whole: semantic transparency of right constituent - pre_target_length: length of word preceding the target (in characters) - pre_target_Lfrequency: log word frequency of word preceding the target - s_entropy_c: z-transformed entropy score of compound in sentence context - s_entropy_i: z-transformed entropy score of compound in isolation - s_c1_freq: z-transformed Wikipedia per million frequency of left constituent (logged) - s_c2_freq: z-transformed Wikipedia per million frequency of right constituent (logged) - s_whole_freq: z-transformed Wikipedia per million frequency of compound (logged) - s_length: z-transformed compound length - s_left_whole: z-transformed semantic transparency of left constituent - s_right_whole: z-transformed semantic transparency of right constituent - s_trial_index: z-transformed trial number - s_sent_pos: z-transformed compound’s position in the sentence - s_pre_target_length: z-transformed length of word preceding the target (in characters) - s_pre_target_Lfrequency: z-transformed log word frequency of word preceding the target ---------- > `SGKST_2018_poss_rel_isolated_existing_compounds_trials.csv` Description: trial-level possible relations task data for existing compounds presented in isolation. Data was collected in Schmidtke, Kuperman, Gagné, Spalding, and Tucker (2018). Entropy scores have previously been made available, but not the trial-level data. - subject_id: participant ID - compound: compound - c1: compound’s left constituent - c2: compound’s right constituent - presentation: presentation type - relation_choice: participant’s relational interpretation for that compound ---------- > `poss_rel_isolated_novel_compounds_trials.csv` Description: trial-level possible relations task data for novel compounds presented in isolation. - subject_id: participant ID - compound: compound - c1: compound’s left constituent - c2: compound’s right constituent - presentation: presentation type - relation_choice: participant’s relational interpretation for that compound ---------- > `poss_rel_context_existing_compounds_trials.csv` Description: trial-level possible relations task data for existing compounds presented in context during self-paced reading. - subject_id: participant ID - trial_index: trial number - compound: compound - c1: compound’s left constituent - c2: compound’s right constituent - compound_number: existing compound number - presentation: presentation type - list: experimental list of the sentence (2 levels: A and B) - relation_choice: participant’s relational interpretation for that compound ---------- > `poss_rel_context_novel_compounds_trials.csv` Description: trial-level possible relations task data for novel compounds presented in context during self-paced reading. - subject_id: participant ID - trial_index: trial number - compound: novel compound - c1: compound’s left constituent - c2: compound’s right constituent - compound_number: novel compound number - presentation: presentation type - list: experimental list of the sentence (2 levels: A and B) - relation_choice: participant’s relational interpretation for that compound ----------