Principles of survey research: part 5: populations and samples

By Barbara A. Kitchenham, Shari Lawrence Pfleeger. SOEN, 2002

396 citations recorded by the source corpus.

Subfields: Information Systems, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/9406e38388ad9bc0d1875e10d7342336510c450d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

1. Sebastian Baltes
2. Paul Ralph
3. Patricia Lago
4. Henry Muccini
5. Ivano Malavolta
6. Patrizio Pelliccione
7. Antony Tang

In Human-Computer Interaction

1. Sebastian Baltes
2. Paul Ralph

Citations in the corpus

• Describing Populations and Samples in Doctoral Student Research (2021, background): “For example, those who choose to participate may differ in important ways from those who choose not to participate, providing an imbalanced or biased view of the population of interest (Kitchenham & Pfleeger, 2002).”
• What Industry Needs from Architectural Languages: A Survey (2013, background): “…decisions and architectural solutions [2], driving analysis techniques (like testing, model and consistency checking, performance analysis [3], [4], [5], [6]), for code generation purposes in model-driven engineering [7], [8], for product line engineering [9], for risks and cost estimation…”
• Sampling in software engineering research: a critical review and guidelines (2020, background): “Practically speaking, any selection without using a random number generator is probably not random.4 Research on and guidelines for probability sampling are often written from the perspective of positivist questionnaire studies (e.g. Kitchenham and Pfleeger 2002).”