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Dataset for paper "Anticipating causes and consequences" - Experiment 1 Early Effect Data with Differences

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DataCite Commons2020-08-26 更新2025-04-17 收录
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https://sussex.figshare.com/articles/Dataset_for_paper_Anticipating_causes_and_consequences_currently_under_review_-_Experiment_1_Early_Effect_Data_with_Differences/11637465/2
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资源简介:
<b>Dataset for paper appearing in Journal of Memory and Language 2020</b><br>csv file for import into R as data frame<br>for the analysis:<br><br>Dependent Variable - dplooks - difference in proportion of looks to NP1 and NP2 pictures (averaged across 200 - 1200ms from the beginning of the conjunction "and so")<br>Independent Variable<br>VBias - causal bias of verb (note that consequentiality bias is to the other NP)<br><br>Sources of random effects<br>Part - participantsItem - items<br>IV is numerical, other variables are factors<br>Other variables are included in the file.

发表于《Journal of Memory and Language》2020年期刊的论文配套数据集<br>可作为数据框导入R语言的CSV格式文件<br>用于本分析的数据集说明如下:<br><br>因变量:dplooks,指被试对名词短语1(NP1, Noun Phrase 1)与名词短语2(NP2, Noun Phrase 2)图片的注视比例差值,该值取连词"and so"起始后200ms至1200ms时间窗口内的平均注视比例差值<br>自变量<br>VBias:动词的因果偏向性(注:结果偏向性指向另一名词短语)<br><br>随机效应来源<br>Part(被试)、Item(实验材料)<br>自变量为数值型变量,其余变量均为因子型变量<br>其余变量均包含于本数据文件中。
提供机构:
University of Sussex
创建时间:
2020-08-11
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