Dataset for paper "Anticipating causes and consequences" - Experiment 1 Late Effect Data with Differences
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https://sussex.figshare.com/articles/Dataset_for_paper_Anticipating_causes_and_consequences_currently_under_review_-_Experiment_1_Late_Effect_Data_with_Differences/11637489
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资源简介:
<b>Data for paper appearing in Journal of Memory and Language 2020</b><br><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 6720ms into display until the end of the display - 10sec after initial presentation)<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.
<b>本数据集对应发表于《记忆与语言期刊》(Journal of Memory and Language)2020年的论文</b><br><br>本文件为可导入R软件作为数据框用于分析的逗号分隔值(CSV)文件,具体分析变量如下:<br><br>因变量:dplooks,即被试对NP1与NP2图片的注视比例差值(计算时段为刺激呈现后6720ms至试次结束,即初始呈现后10秒的整个时间段内的平均注视比例差)<br>自变量:VBias,即动词的因果偏向(注:结果偏向指向另一NP)<br><br>随机效应来源:Part代表被试,Item代表刺激项目<br><br>自变量为数值型变量,其余变量均为因子型变量;数据文件中包含其余所有变量。
提供机构:
University of Sussex
创建时间:
2020-02-05



