Quantifying error in effect size estimates in executive function and implicit learning

Background: Data taken from the Executive Function and Implicit Learning (EFIL) project run by Abbey Nydam and Paul Dux for the Team Honours Thesis in 2019. Uses data from 313 1st-year psychology participants on a battery of cognitive tasks including: Attentional Blink Multitasking paradigm (also referred to as single and dual task [SD]) Contextual Cuing Serial Reaction Time Task Quick guide to data -> raw data (trial level per participant) for each task is in 'raw' -> 'data' contains a folder for each task: 'AB', 'SD' (MT), 'CC' & 'SRT'. Each folder contains the outputs of the bootstrapping analysis [IMMxx.zip], and the results output, from which the figures/results were generated (generated from 'get_statistics.R'). Some of the plot setting files are also saved (except for 1 task), but these can easily be regenerated with the code.

背景：本数据集源自Abbey Nydam与Paul Dux于2019年为团队荣誉毕业论文开展的执行功能与内隐学习（Executive Function and Implicit Learning, EFIL）研究项目。本次研究使用了313名心理学专业一年级本科生在成套认知任务中的实验数据，涵盖以下范式：注意瞬脱多任务范式（亦称为单任务与双任务范式[SD]）、情境线索任务以及序列反应时任务。
数据快速说明：各任务的原始数据（单被试试次级数据）存放于`raw`目录下；`data`目录包含对应每个任务的子文件夹，分别为`AB`、`SD`（MT）、`CC`与`SRT`。每个任务子文件夹中均包含自举分析的输出文件[IMMxx.zip]，以及用于生成图表与实验结果的统计结果输出文件，此类结果通过`get_statistics.R`脚本生成。部分绘图配置文件亦有保存（其中一个任务除外），但可通过配套代码快速重新生成。