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Missing data in the analysis of multilevel and dependent data (Example data...
- zenodo.org
binUpdated Jul 20, 2023
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EmailClick to copy linkLink copiedCiteSimon Grund; Simon Grund; Oliver Lüdtke; Oliver Lüdtke; Alexander Robitzsch; Alexander Robitzsch (2023). Missing data in the analysis of multilevel and dependent data (Example data sets) [Dataset]. http://doi.org/10.5281/zenodo.7773614binAvailable download formatsUnique identifierhttps://doi.org/10.5281/zenodo.7773614Dataset updatedJul 20, 2023Dataset provided bySpringerAuthorsSimon Grund; Simon Grund; Oliver Lüdtke; Oliver Lüdtke; Alexander Robitzsch; Alexander RobitzschLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionExample data sets 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 data sets used in both example analyses (Examples 1 and 2) 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:
ID= group identifier (1-2000)
x= numeric (Level 1)
y= numeric (Level 1)
w= binary (Level 2)In all data sets, missing values are coded as "NA".
- z
Missing data in the analysis of multilevel and dependent data (Examples)
- zenodo.org
- data.niaid.nih.gov
binUpdated Jul 20, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteSimon Grund; Simon Grund; Oliver Lüdtke; Oliver Lüdtke; Alexander Robitzsch; Alexander Robitzsch (2023). Missing data in the analysis of multilevel and dependent data (Examples) [Dataset]. http://doi.org/10.5281/zenodo.8168054binAvailable download formatsUnique identifierhttps://doi.org/10.5281/zenodo.8168054Dataset updatedJul 20, 2023Dataset provided bySpringerAuthorsSimon Grund; Simon Grund; Oliver Lüdtke; Oliver Lüdtke; Alexander Robitzsch; Alexander RobitzschLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionExample 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:
ID= group identifier (1-2000)
x= numeric (Level 1)
y= numeric (Level 1)
w= binary (Level 2)In all data sets, missing values are coded as "NA".
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FacebookTwitterEmailAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Example data sets 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 data sets used in both example analyses (Examples 1 and 2) 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:
ID = group identifier (1-2000)
x = numeric (Level 1)
y = numeric (Level 1)
w = binary (Level 2)
In all data sets, missing values are coded as "NA".