Dataset - Inferential false memory for emotional events in older adults

Dataset and R code for the analysis on "Inferential False Memory for Emotional Events in Older Adults"<br>The analysis in R employs MCMC estimation methods that may take long (from a few minutes for fitting a single model to serveral hours--or days--for cycles computing sensitivity analyses).<br>The dataset reports observations on 76 healthy older adults.<br>The dataset is presented in the long form, i.e., there is one row per single response (each participant gave 90 responses). This allows to fit mixed-effects logistic regressions on recognition data. If any statistics is to be computed at the participant level, averaging data by participant (column "ID") is recommended first.<br><br>Recognition responses are reported in column "Response" (1 refers to "yes", 0 refers to "no"). CWMS is Verbal Working Memory. GDS is Geriatric Depression Scale. In column "Type", "trg_inco" and "fa_inco" refers to items presented at the very beginning and end of the encoding procedure only to avoid primacy or recency effects; "gapfilling" refers to gap-filling distractors, "causal" refers to causal antecedent distractors, "target" refers to target (or "hit") items.

本数据集与配套R代码，用于开展《老年人情绪事件的推论性错误记忆》相关分析。
本分析采用R语言编写，使用马尔可夫链蒙特卡洛（Markov Chain Monte Carlo, MCMC）估计方法，运算耗时跨度较大：单模型拟合仅需数分钟，而敏感性分析的循环计算则可能耗时数小时乃至数天。
本数据集包含76名健康老年人的观测数据。
数据集采用长格式（long form）存储，即每条单一反应对应一行数据（每名参与者共提供90条反应）。该格式支持对再认数据开展混合效应逻辑回归建模。若需在参与者层面计算统计量，建议首先按照参与者ID列（"ID"）对数据进行分组平均。
再认反应存储于列"Response"中，其中1代表“是”，0代表“否”。CWMS为言语工作记忆（Verbal Working Memory），GDS为老年抑郁量表（Geriatric Depression Scale）。在列"Type"中，"trg_inco"与"fa_inco"指仅在编码流程的起始与末尾呈现、用以规避首因效应或近因效应的项目；"gapfilling"指代补白干扰项，"causal"指代因果前因干扰项，"target"指代靶项目（或称“击中”项目）。