Web Survey Bibliography
There are at least two reasons why we are discussing inference from non-probability samples:
1. The continued predominance of non-probability samples in certain fields, certain countries, and certain domains;
2. Declining response rates having two effects: a) calling into question the extent to which we can use classical randomisation-based inference methods, even after standard non-response adjustments, and b) increasing the cost differential between probability and non-probability samples and thereby causing us to reassess the justification for probability sampling.....
Web Survey Bibliography - 55th ISI Session 2005 (12)
- The Use of Multiple Imputation to Create a Null Data Set from Nonrandomized Job Training Data; 2005; Rubin, D. B.
- Complications When Using Nonrandomized Job Training Data to Draw Causal Inferences; 2005; Raessler, S.
- Inference from non-probability samples in marketing research; 2005; Blyth, B.
- Creative Applications of Selection Bias Modelling in Market Research; 2005; Terhanian, G., Bremer, J.
- Inferential Potential of Non-Probability Samples; 2005; Lynn, P.
- Internet Survey Developments At Statistics Netherlands; 2005; Bethlehem, J.
- A Web-based Survey Creator; 2005; Payne, B., Crawford, E.
- A Comparison of Nonresponse Adjustment Methods with the Case Study of HIES; 2005; Yeanok, Y., Semi, K.
- Compilation of Composite Satisfaction Index in User Satisfaction Survey; 2005; Sam Min, K., Park, J.
- Major issues for improving the web-based data collection system; 2005; Jeon, J.
- Survey Automation through ActiveX components and XML Web Services; 2005; Segui, F.
- The Dutch Virtual Census of 2001; 2005; Nordholt, E. S.