Data for: Exploring the comparative adequacy of a unimanual and a bimanual stimulus-response setup for use with three-alternative choice response time tasks

Response setups for use with three+ alternative choice designs offer competing conceptualizations that stimulus-response setups can draw from, especially as paradigm complexity increases. We explore this topic through comparing a unimanual (Experiment 1, N = 34) and a bimanual response setup (Experiment 2, N = 32) for use with a complex three-alternative forced choice task. Crucially, one of the stimulus categories (‘mixed’) was composed of stimulus elements from the other two stimulus categories used in that task. A simple three-alternative forced choice task (reference button task) was included to isolate the motoric component of response registration. This dataset contains ten files; two RStudio code files allowing for easy replication of how the analyses was conducted, two .txt containing this code, five datafiles containing the raw data the code draws from, and one readme.txt file. This version contains updated code for the analyses of error rate, using a binomial rather than a gamma family for GLM model fitting.适用于三类及以上备选选择任务设计的反应范式（response setups）提供了多种竞争性概念框架，刺激-反应研究范式可从中借鉴，尤其当实验范式复杂度提升时。本研究通过对比单手动反应设置（实验1，N=34）与双手动反应设置（实验2，N=32）在复杂三择迫选任务（three-alternative forced choice task）中的应用，对该主题展开探究。尤为关键的是，该任务中的一类刺激类别（“混合类”）由另外两类刺激类别的刺激元素构成。此外还设置了一项简易三择迫选任务（参照按键任务，reference button task），用以分离反应登记过程中的运动成分。本数据集共包含10个文件：2个可直接复现本次分析流程的RStudio代码文件，2个存储该代码的TXT文本文件，5个存储代码所依赖的原始数据的数据文件，以及1个readme.txt说明文件。本版本更新了错误率分析的相关代码，针对广义线性模型（GLM, Generalized Linear Model）拟合环节，采用二项分布族替代伽马分布族。