Abstract
When conducting an analysis of test data or survey data using Rasch techniques, missing data often is not a big problem – a student skipping an item on a test can be measured using the items they attempt. In fact, when linking test or survey forms, the issue can be thought of, in part, as a missing data issue. In this chapter we discuss why missing data often will not impact the measurement of a respondent. However, we also discuss the issue of how to view missing data. For example, should skipped items be items counted as “wrong” but items “not reached” be counted as “missing”? In this chapter, we consider several missing data issues and we explain how Winsteps can allow one to experiment with the coding of missing data with the goal of conducting accurate measures of respondents. The chapter finishes up with a student dialogue, Keywords and Phrases, Quick Tips, Data Files, References, and Additional Readings. As in almost all chapters, sample analyses are used to reinforce the chapter topic.
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References
Baghaei, P. (2007). Applying the Rasch rating-scale model to set multiple cut-offs. Rasch Measurement Transactions, 20(4), 1075–1076.
Roorda, L. D., Jones, C. A., Waltz, M., Lankhorst, G. J., Bouter, L. M., van der Eijken, J. W., et al. (2004). Satisfactory cross cultural equivalence of the Dutch WOMAC in patients with hip osteoarthritis waiting for arthroplasty. Annals of the Rheumatic Diseases, 63(1), 36–42.
Additional Readings
A number of added missing data articles of use to researchers.
DeAyala, R. J. (2003). The effect of missing data on estimating a respondent’s location using ratings data. Journal of Applied Measurement, 4, 1–9.
Ludlow, L., & O’Leary, M. (2000). What to do about missing data? Rasch Measurement Transactions, 14(2), 751.
Wang, S., Zhang, H., & Young, M. J. (2005). The effect of missing data of rating design on parameter estimations using the many-facets Rasch model. Paper presented at the annual meeting of the American Educational Research Association, Montreal, Canada. Retrieved April 2005.
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Boone, W.J., Staver, J.R., Yale, M.S. (2014). Missing Data: What Should I Do?. In: Rasch Analysis in the Human Sciences. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6857-4_18
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DOI: https://doi.org/10.1007/978-94-007-6857-4_18
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