Effectiveness of different missing data treatments in surveys with likert-type data: Introducing the relative mean substitution approach

Educational and Psychological Measurement

Volumn 59, Issue 5, 1999, Pages 725-748

  Raaijmakers, Quinten A W ^a  

^a UTRECHT UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0033243051     PISSN: 00131644     EISSN: None     Source Type: Journal    
DOI: 10.1177/0013164499595001     Document Type: Review

References (20)

1. Anderson, A. B., Basilevsky, A., & Hum, D.P.J. (1983). Missing data: A review of the literature. In P. H. Rossi, J. D. Wright, & A. B. Anderson (Eds.), Handbook of survey research (pp. 415-494). London: Academic Press.
2. Buck, S. F. (1960). A method of estimation of missing values in multivariate data suitable for use with an electronic computer. Journal of the Royal Statistical Society, B22, 302-307.
3. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum.
4. Ferber, R. (1966). Item nonresponse in a consumer survey. Public Opinion Quaterly, 30, 399-415.
5. Ford, B. L. (1976). Missing data procedures: A comparative study. Washington, DC: Statistical Reporting Service, U. S. Department of Agriculture.
6. Frane, J. W. (1976). Some simple procedures for handling missing data in multivariate analysis. Psychometrika, 41, 409-415.
7. Judge, G. G., Hill, R. C., Griffiths, W. E., Lütkepohl, H., & Lee, T. (1988). Introduction to the theory and practice of econometry (2nd ed.). New York: John Wiley.
8. Kromrey, J. D., & Hines, C. V. (1994). Nonrandomly missing data in multiple regression: An empirical comparison of common missing-data treatments. Educational and Psychological Measurement, 54, 573-593.
9. Little, R.J.A. (1988). Missing-data adjustments in large surveys. Journal of Business & Economic Statistics, 6, 287-296.
10. Little, R.J.A., & Rubin, D. B. (1987). Statistical analysis with missing data. New York: John Wiley.
11. Little, R.J.A., & Su, H. L. (1989). Item nonresponse in panel surveys. In D. Kasprzyk, G. Duncan, & M. P. Singh (Eds.), Panel surveys (pp. 400-425). New York: John Wiley.
12. Madow, W. G., Nisselson, H., Olkin, I., & Rubin, D. B. (1983). Incomplete data in sample surveys (Vols. 1-3). New York: Academic Press.
13. Meeus, W., & 't Hart, H. (1993). Jongeren in Nederland [Youth in the Netherlands]. Amersfoort, the Netherlands: Acco.
14. Nie, N. H., Hull, C. H., Jenkins, J. G., Steinbrenner, K., & Bent, D. H. (1975). Statistical package for the social sciences (2nd ed.). New York: McGraw-Hill.
15. Pigott, Th. D. (1994). Methods for handling missing data in research synthesis. In H. Cooper & L. V. Hedges (Eds.), The handbook of research synthesis (pp. 163-175). New York: Russell Sage.
16. Pregibon, D. (1975). Typical survey data: Estimation and imputation. University of Waterloo: Statistics Canada.
17. Raaijmakers, Q.A.W. ( 1997). Midpoint responses on Likert-type items: Neutral or missing values? Manuscript in preparation, University of Utrecht, the Netherlands.
18. Raymond, M. R. (1986). Missing data in evaluation research. Evaluation & The Health Professions, 9, 395-420.
19. Raymond, M. R., & Roberts, D. M. (1987). A comparison of methods for treating incomplete data in selection research. Educational and Psychological Measurement, 49, 13-26.
20. Roth, P. L., Campion, J. E., & Jones, S. D. (1996). The impact of four missing data techniques on validity estimates in human resource management. Journal of Business and Psychology, 11, 101-112.