# Challenges in Survey Research

arXiv: https://arxiv.org/abs/1908.05899 · HTML: https://mlsanity.com/paper/1908.05899/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 16 Aug 2019.

## Built on by (most cited first, 2 of 2)

- [Naming the Pain in Machine Learning-Enabled Systems Engineering](https://mlsanity.com/paper/2406.04359/) (2024)
- [Pattern Discovery and Validation Using Scientific Research Methods](https://mlsanity.com/paper/2107.06065/) (2021)

## Abstract (arXiv)

While being an important and often used research method, survey research has been less often discussed on a methodological level in empirical software engineering than other types of research. This chapter compiles a set of important and challenging issues in survey research based on experiences with several large-scale international surveys. The chapter covers theory building, sampling, invitation and follow-up, statistical as well as qualitative analysis of survey data and the usage of psychometrics in software engineering surveys.