Jan Eric Blumenstiel
Biographic Data
| ID | 192610 |
|---|---|
| NAME | Jan Eric Blumenstiel |
| GIVEN NAMES | Jan Eric |
| FAMILY NAME | Blumenstiel |
| SIGNATURE | BLUMENSTIEL J E |
| AFFILIATIONS | University of Mannheim |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 17 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2018 |
| H-INDEX | 2 |
Experimental Evidence on Reducing Nonresponse Bias through Case Prioritization
To reduce nonresponse bias in surveys, it has been suggested that researchers allocate additional fieldwork efforts to cases with low estimated response propensity. If these efforts are successful, nonresponse bias may be reduced by changing the variance of response propensities and hence the covariance between response propensities and variables of interest. The present study provides experimental evidence about how to intervene on low-propensit…
Changing motivations, time of the voting decision, and short-term volatility - The dynamics of voter heterogeneity
Why Do Respondents Break Off Web Surveys and Does It Matter? Results From Four Follow-up Surveys
With the rise of Web survey research high breakoff rates are increasingly considered a major shortcoming. Based on the framework for the explanation of Web survey participation, three categories of predictors have been identified as major causes for breakoff: Respondent-related factors, survey design, and page and question characteristics (Peytchev, 2009, pp. 76–82). While there are many findings on the impact of questionnaire, question, and surv…
Changing motivations, time of the voting decision, and short-term volatility - The dynamics of voter heterogeneity
Why Do Respondents Break Off Web Surveys and Does It Matter? Results From Four Follow-up Surveys
With the rise of Web survey research high breakoff rates are increasingly considered a major shortcoming. Based on the framework for the explanation of Web survey participation, three categories of predictors have been identified as major causes for breakoff: Respondent-related factors, survey design, and page and question characteristics (Peytchev, 2009, pp. 76–82). While there are many findings on the impact of questionnaire, question, and surv…
Why Do Respondents Break Off Web Surveys and Does It Matter? Results From Four Follow-up Surveys
With the rise of Web survey research high breakoff rates are increasingly considered a major shortcoming. Based on the framework for the explanation of Web survey participation, three categories of predictors have been identified as major causes for breakoff: Respondent-related factors, survey design, and page and question characteristics (Peytchev, 2009, pp. 76–82). While there are many findings on the impact of questionnaire, question, and surv…
Changing motivations, time of the voting decision, and short-term volatility - The dynamics of voter heterogeneity
Experimental Evidence on Reducing Nonresponse Bias through Case Prioritization
To reduce nonresponse bias in surveys, it has been suggested that researchers allocate additional fieldwork efforts to cases with low estimated response propensity. If these efforts are successful, nonresponse bias may be reduced by changing the variance of response propensities and hence the covariance between response propensities and variables of interest. The present study provides experimental evidence about how to intervene on low-propensit…
Political science (3 works) · Econometrics (2 works) · Economics (2 works) · Mathematics (2 works) · Psychology (2 works) · Social Media and Politics (2 works) · Statistics (2 works) · Survey Methodology and Nonresponse (2 works) · Applied Psychology (1 works) · Business (1 works)