Comparing Groups When There Is a Covariate

Rand R. Wilcox
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Rand R. Wilcox: University of Southern California, Department of Psychology

Chapter Chapter 10 in A Guide to Robust Statistical Methods, 2023, pp 265-304 from Springer

Abstract: Abstract This chapter deals with the goal of comparing groups when there is a covariate. Consider, for example, the Well Elderly data described in Sect. 3.1.3 . Imagine the goal is to compare males to females based on a measure of depressive symptoms (CESD). Using the data in the file A3B3C_dat.txt, no significant difference is found at the 0.05 level when comparing 20% trimmed means via Yuen’s method, and the p-value is 0.18. Similar results are obtained using an M-estimator (p-value = 0.257) or Cliff’s method described in Sect. 3.2 (p-value = 0.09 $$=0.09$$ ).

Date: 2023
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DOI: 10.1007/978-3-031-41713-9_10

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