Missing data in the analysis of multilevel and dependent data (Examples)

Example data sets and computer code for the book chapter titled "Missing Data in the Analysis of Multilevel and Dependent Data" submitted for publication in the second edition of "Dependent Data in Social Science Research" (Stemmler et al., 2015). This repository includes the computer code (".R") and the data sets from both example analyses (Examples 1 and 2). The data sets are available in two file formats (binary ".rda" for use in R; plain-text ".dat"). The data sets contain simulated data from 23,376 (Example 1) and 23,072 (Example 2) individuals from 2,000 groups on four variables: <code>ID</code> = group identifier (1-2000)<br> <code>x</code> = numeric (Level 1)<br> <code>y</code> = numeric (Level 1)<br> <code>w</code> = binary (Level 2) In all data sets, missing values are coded as "NA".本数据集与计算机代码来自投稿至《社会科学研究中的相依数据》（Stemmler等，2015）第二版的学术章节《多层与相依数据分析中的缺失数据》。本代码仓库包含两项示例分析（示例1与示例2）的计算机代码（".R"格式）及对应数据集。数据集提供两种文件格式：适配R语言的二进制".rda"格式，以及纯文本".dat"格式。数据集包含来自2000个群体的23376名（示例1）与23072名（示例2）个体的模拟数据，共包含4个变量：<code>ID</code>为群体标识符（取值范围1-2000）；<code>x</code>为数值型水平1（Level 1）变量；<code>y</code>为数值型水平1（Level 1）变量；<code>w</code>为二分类水平2（Level 2）变量。所有数据集中的缺失值均以"NA"进行编码。