Consequences of Survey Nonresponse

By Andrey Peytchev. 2013

173 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Health Professions, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/c22e327e2321ece808409dcc831ce63580e708d4

How researchers see this paper

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

In Economics and Econometrics

1. Shimon Sarraf
2. Leah K. Peck
3. Leo Poom
4. A. Wåhlberg
5. E. Howe
6. Kevin Fosnacht

In General Health Professions

1. Leo Poom
2. A. Wåhlberg

In Sociology and Political Science

1. Shimon Sarraf
2. Leah K. Peck
3. Leo Poom
4. A. Wåhlberg
5. E. Howe
6. Kevin Fosnacht
7. S. van der Linden

Citations in the corpus

• An Empirical Test of Nonresponse Bias in Internet Surveys (2015, background): “This can be interpreted either as results of random fluctuations in the data or as due to response bias induced by very specific circumstances, as concluded by Peytcheva (2013).”
• How Important are High Response Rates for College Surveys? (2016, background): “Peytchev (2013) goes further and argues that the use of response rate as the singular measure of survey representativeness is flawed, as “it is nonresponse bias that is feared, not nonresponse itself” (p. 89).”