1. my preference: work by Norman Cliff on methods for ordinal data: - book from 1996 (Ordinal Methods for Behavioral Data Analysis) - articles from 1993 (Psychol. Bullet.), 1994 (Brit. Jnl. of Math. & Stat. Psych.) and 1996 (Multiv. Behav. Research) - article by Long on Ordinal Multiple Regression (Multiple Linear Regression Viewpoints, 1998)
2. classical: - Kendall & Gibbons: Rank Correlation methods - nonparametric statistics textbooks (Conover as already suggested, Siegel&Castellan) - books by Alan Agresti on categorical data analysis 3. probably less known, like Cliff oriented towards a general framework for ordinal data analysis: Meddis, R. (1984): Statistics using ranks - a unified approach. Oxford: Blackwell. 4. a title I just found in a bibliographic database, but don't know (from description on Amazon it appears to me rather demanding for a non-mathematician, even though a reviewer says the oposite): Johnson, V.E., James, H.A., Krantz, S.G. (1999): Ordinal Data Modeling. Springer. . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
