Work

Introducing Undergraduates to Concepts of Survey Data Analysis

Year: 2020

Type: article

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.

Source: Journal of Statistics Education

DOI: 10.1080/10691898.2020.1720552

Authors: Pamela S. Fellers, Shonda Kuiper

Institution: Grinnell College

Language: English

Topic: Statistics Education and Methodologies

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Quality education

Open Access status: gold

Estimated APC paid: $1,134