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Learn About Managing Missing Data in R With Data From British Social Attitudes (2016): Public Trust in Political Institutions

By: & Published: 2019 | Product: SAGE Research Methods Datasets Part 2

Examples of missing data can be found in almost every dataset. Simply put, data are missing when information that is present in variables for some cases is not present for others. Missing data can pose a problem for the analysis of the data and for drawing appropriate inferences. This guide provides a basic introduction to dealing with missing data in survey research using examples from the British Social Attitudes Survey 2016. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for R.

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You can preview and download the dataset from this tab. The dataset is available in multiple file formats, compatible with most common software packages. You can also view and download the Codebook, which provides information on the structure, contents, and layout of the dataset.

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