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- Supplementary materials for "True Clauses and False Connections"Supplementary materials contain raw data sets (with potentially identifying information about participants, such as their MTurk IDs, removed) for the three experiments reported in the manuscript and a PDF file listing all the experimental materials used in these experiments.
- Dataset
- Data for: Do Particle Verbs Share a Representation with their Root Verbs? Evidence from Structural PrimingWe report three structural priming experiments that examine the lexical representations of particle verbs and their root verbs. We therefore tested whether priming is boosted by lexical overlap between prime and target verb. In Experiment 1, we had six prime sentences (with two structures (DO vs. PO) and three prime verbs (Root verb vs. Particle verb vs. Different verb) and one target picture with the root verbs as target verbs. Therefore, in data 'E1.txt', there are three colums called "condition(6 levels)", "syn(DO/PO), "verb(root,part,diff)". In Experiment 2, we had eight prime sentences (with two structures (DO vs. PO) and three prime verbs (Root verb vs. Particle verb vs. Different verb vs. Different-Particle verb) and one target picture with the particle verbs as target verbs. Therefore, in data 'E2.txt', there are three colums called "condition(8 levels)", "syn(DO/PO), "verb(root,part,diff,diffpart)". In Experiment 3, we had six prime sentences (with two structures (DO vs. PO) and three prime verbs (Different Root verb vs. Particle verb vs. Different verb) and one target picture with the particle verbs as target verbs. Therefore, in data 'E3.txt', there are three colums called "condition(6 levels)", "syn(DO/PO), "verb(diffroot,part,diff)". We also included the code scripts for three experiments and experimental materials in this data set.
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- Data for: 'She practise every day but still make mistakes': Spoken and written production of inflectional morphology among L1 Mandarin speakers of English.This dataset contains original coded data for the paper listed above: The data files should be viewed in the following order: Experiment 1: 1a_masterfile.csv / Omissions_1a_masterfile.csv / OPT scores.csv Experiment 2: 1b_masterfile.csv / Omissions_1b_masterfile.csv / 1b_M_scores.csv Experiment 3: written_masterfile.csv / Omissions_W_masterfile.csv / written_M_scores Modality: Experiment.masterfile.csv / Omissions_Mod.csv
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- Data for: Effects of phonological neighbourhood density and frequency in picture naming.This data includes raw data for the Australian picture naming data, the British picture naming data, and the DRC-SEM simulations data. The additional Excel file includes column names in full for each of these datasets, if relevant.
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- Data for: Sound symbolism in vowel production: Interaction between producing vowels and representing conceptual magnitudeThe data for Experiments 1-3
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- Data for: Linguistic focus guides attention during encoding and refreshing Working Memory contentThis data set was collected through a series of four blank-screen eye-tracking paradigm to investigate the encoding and refreshing of linguistically focused elements in Working Memory. Fur further details contact Tamas Kaldi. kaldi.tamas@nytud.mta.hu
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- Data for: A Note Regarding Discrepant Findings in Episodic Memory as an Individual Difference in Retrieval PracticeSee Manuscript
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- Data for: The dependence of root extraction in a non-concatenated morphology on the word-specific orthographic contextRaw data and statistical analyses
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- Data for: The dependence of root extraction in a non-concatenated morphology on the word-specific orthographic contextRaw data, code and analysis output
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- Data for: The dependence of root extraction in a non-concatenated morphology on the word-specific orthographic contextRaw data; code and output
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