Introducing Undergraduates to Concepts of Survey Data Analysis

Abstract

Increasingly students, particularly those in the social sciences, work with survey data collected through a more complex sampling method than a simple random sample. Failing to understand how to properly approach survey data can lead to inaccurate results. In this article, we describe a series of online data visualization applications and corresponding student lab activities designed to help students and teachers of statistics better understand survey design and analysis. The introductory and advanced materials presented are designed to focus on a conceptual understanding of survey data and provide an awareness of the challenges and potential misuse of survey data. Suggestions and examples of how to incorporate these materials are also included. Supplementary materials for this article are available online.

KEYWORDS:

• Political poll
• Shiny app
• Survey weights
• Statistics education

Supplementary Materials

List of available activities and corresponding resources.

Acknowledgments

The authors gratefully acknowledge Ruby Barnard-Mayers and Karin Yndestad for their contributions to the project as well as the anonymous reviewers and associate editor for their helpful comments and suggestions.