Statistics for real–life sample surveys: Non–simple–random samples and weighted data

Statistics for Real-Life Sample Surveys: Non-Simple-Random Samples and Weighted Data

Volumn , Issue , 2006, Pages 1-266

  Dorofeev, Sergey ^a   Grant, Peter ^a  

^a Roy Morgan Research Centre Pty Ltd   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84922884680     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1017/CBO9780511543265     Document Type: Book

References (61)

1. American Association for Public Opinion Research (2004). Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys, 3rd edn.
2. Baker, K., Harris, P. and O’Brien, J. (1989). Data fusion: an appraisal and experimental evaluation. Journal of the Market Research Society, 31, No. 2, 153–212.
3. Bartholomew, D. J. (1961). A method of allowing for ‘not-at-home’ bias in sample surveys. Applied Statistics, 10, 52–59.
4. Bedrick, E. J. (1983). Adjusted chi-squared tests for cross-classified tables of survey data. Biometrika, 70, No. 3, 591–595.
5. Benford, F. (1938). The law of anomalous numbers. Proceedings of the American Philosophical Society, 78, 551–572.
6. Bethlehem, J. G. and Keller, W. J. (1987). Linear weighting of sample survey data. Journal of Official Statistics, 3, 141–153.
7. Breiman, L., Friedman, J., Olshen, R. and Stone, C. (1984). Classification and Regression Trees, Wadsworth International Group.
8. Chow, S. L. (1996). Statistical Significance: Rationale, Validity and Utility, Sage.
9. Cochran, W. G. (1977). Sampling Techniques, John Wiley and Sons, 3rd edn.
10. Conway, S. (1982). The weighting game. Market Research Society Conference Papers, 193–207.
11. Deville, J.-C. (1988). Estimation Lin´eaire et Redressement sur Informations Auxiliaires d’Enquêtes par Sondage. Essais en l’Honneur d’Edmond Malinvaud, ed. A. Monfort and J. J. Laffond, Paris: Economica, pp. 915–927.
12. Deville, J.-C. and S¨arndal, C.-E. (1992). Calibration estimators in survey sampling. Journal of the American Statistical Association, 87, No. 418, 376–382.
13. Deville, J.-C., S¨arndal, C.-E. and Sautory, O. (1993). Generalized raking procedures in survey sampling, Journal of the American Statistical Association, 88, No. 423, 1013–1020.
14. Devroye, L., Gy¨orfi, L. and Lugosi, G. (1996). A Probabilistic Theory of Pattern Recognition, Springer.
15. Digby, P. G. N. and Kempton, R. A. (1987). Multivariate Analysis of Ecological Communities, Chapman and Hall.
16. Efron, B. (1979). Bootstrap methods: another look at the jackknife. Annals of Statistics, 7, 1–26.
17. Efron, B. and Tibshirani, R. J. (1993). An Introduction to the Bootstrap, Monographs on Statistics and Applied Probability 57, Chapman and Hall.
18. Everitt, B. S. (1977). The Analysis of Contingency Tables, John Wiley and Sons.
19. Fuller, W. A., McLoughlin, M. M. and Baker, H. D. (1994). Regression weighting in the presence of nonresponse with application to the 1987–1988 Nationwide Food Consumption Survey. Survey Methodology, 20, 75–85.
20. Gabler, S., H¨ader, S. and Lahiri, P. (1999). A model based justification of Kish’s formula for design effects for weighting and clustering. Survey Methodology, 25, 105–106.
21. Goodman, L. A. and Kruskal, W. H. (1954). Measures of association for cross-classifications, Journal of the American Statistical Association, 49, 732–764.
22. Greenacre, M. J. (1984). Theory and Applications of Correspondence Analysis, Academic Press.
23. Greenacre, M. J. (1993). Correspondence Analysis in Practice, Academic Press.
24. Groves, R. M. (1989). Survey Errors and Survey Costs, John Wiley and Sons.
25. Groves, R. M., Dillman, D. A., Eltinge, J. L. and Little, R. J. A. (eds) (2001). Survey Nonresponse, Wiley.
26. Harris, P. (1977). The effect of clustering on costs and sampling errors of random samples. Journal of the Market Research Society, 19, No. 3, 112–122.
27. Hill, T. P. (1995). A statistical derivation of the significant-digit law. Statistical Science, 10, No. 4, 354–363.
28. Hill, T. P. (1998). The first digit phenomenon. American Scientist, 86, 358–363.
29. Hoffman, D. L. and Franke, G. R. (1986). Correspondence analysis: graphical representation of categorical data in marketing research. Journal of Marketing Research, XXIII, (August 1986), 213–227.
30. Kalton, G. (1979). Ultimate cluster sampling. Journal of the Royal Statistical Society, Series A, 142, No. 2, 210–222.
31. Kalton, G. and Flores-Cervantes, I. (1998). Weighting methods. In New Methods For Survey Research, Proceedings of the Association For Survey Computing International Conference, Southampton, UK, 1998, pp. 77–92.
32. Kendall, M. and Stuart, A. (1979). The Advanced Theory of Statistics, Griffin, Volume 2, 4th edn.
33. Keyfitz, N. (1957). Estimates of sampling variance where two units are selected from each stratum. Journal of the American Statistical Association, 52, 503–510.
34. Kish, L. (1949). A procedure for objective respondent selection within the household. Journal of the American Statistical Association, 40, 38–56.
35. Kish, L. (1965). Survey Sampling, John Wiley and Sons.
36. Kish, L. (1987). Statistical Design For Research, John Wiley and Sons.
37. Kish, L. (1987). Weighting in Deft2, The Survey Statistician June 1987. The International Association of Survey Statisticians.
38. Kish, L. (1995). Questions/answers from The Survey Statistician 1978–1994. International Association of Survey Statisticians, Section of the International Statistical Institute.
39. Lee, E., Forthofer, R. N. and Lorrimor, R. J. (1989). Analyzing Complex Surveys, Sage.
40. Lehtonen, R. and Pahkinen, E. J. (1995). Practical Methods for Design and Analysis of Complex Surveys, Wiley.
41. Levine, M., Morgan, G., Hepenstall, N., and Smith, G. (2001). Single Source – for Increased Advertising Productivity in a Multimedia World (paper presented at The Advertising Research Foundation’s ‘Week of Workshops’ Chicago 2001). Available (2006) at http://www.roymorgan.com/resources/pdf/papers20011101.pdf
42. Macfarlane Smith, J. (1972). Interviewing in Market and Social Research, Routledge and Kegan Paul.
43. Market Research Society (1994). The Opinion Polls and the 1992 General Election, London: The Market Research Society.
44. Morrison, D. E. and Henkel, R. E. (eds) (1970). The Significance Test Controversy – A Reader, Aldine.
45. Moser, C. A. and Kalton, G. (1971). Survey Methods in Social Investigation, Heinemann Educational Books, 2nd edn.
46. Politz, A. and Simmons, W. (1949). An attempt to get the not-at-homes into the sample without call-backs. Further theoretical considerations regarding the plan for eliminating call-backs. Journal of the American Statistical Association, 44, 9–31.
47. Quenouille, M. (1949). Approximation tests of correlation in time series. Journal of the Royal Statistical Society B, 11, 18–84.
48. Rao, J. N. K. and Scott, A. J. (1981). The analysis of categorical data from complex sample surveys: chi-squared tests for goodness of fit and independence in two-way tables. Journal of the American Statistical Association, 76, No. 374, 221–230.
49. Rao, J. N. K. and Scott, A. J. (1984). On the chi-squared tests for multiway contingency tables with cell proportions estimated from survey data. Annals of Statistics, 12, No. 1, 46–60.
50. Rothman, J. (1989). Data fusion and media research. Data Fusion: Proceedings of a Market Research Development Fund Seminar, London.
51. Ryan, T. P. (1997). Modern Regression Methods, John Wiley and Sons.
52. Shao, J. and Tu, D. (1995). The Jackknife and Bootstrap, Springer Series in Statistics, Springer-Verlag.
53. Sharot, T. (1986). Weighting survey results. Journal of the Market Research Society, 28, No. 3, 269–284.
54. Sheth, J. N. (1977). Multivariate Methods for Market and Survey Research. The American Marketing Association.
55. Skinner, C. J., Holt, D. and Smith, T. M. F. (1989). Analysis of Complex Surveys, Wiley.
56. Soong, R. and de Montigny, M. (2004). No Free Lunch in Data Fusion/Integration. Proceedings of the ARF/ESOMAR ‘Week of Audience Measurement’ Geneva.
57. Stephan, F. J. and McCarthy, P. J. (1958). Sampling Opinions: an Analysis of Survey Procedure, Wiley.
58. Troldahl, V. C. and Carter, R. E. (1964). Random selection of respondents within households in ‘phone surveys’. Journal of Marketing Research, 1, No. 2, 71–76.
59. United Nations (2005). Household Sample Surveys in Developing and Transitional Countries (publication no. E.05.XVII.6). United Nations.
60. Ward, J. C., Russick, B. and Rudelius, W. (1985). A test of reducing call-backs and not-at-home bias in personal interviews by weighting at-home respondents. Journal of Marketing Research, XXII, (February 1985), 66–73.
61. Zieschang, K. D. (1990). Sample weighting methods and estimation of totals in the consumer expenditure survey. Journal of the American Statistical Association, 85, 986–1001.