Analysis of Ordinal Categorical Data, 2nd edn by Alan Agresti

By Ivy Liu. 2011

248 citations recorded by the source corpus.

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Connecting religion and work: Patterns and influences of work-faith integration (2011, methodology): “Since the dependent variable and several independent variables were measured on an ordinal (Likert) rather than interval scale, we used ordinal logistic regression to test most relationships (Agresti, 2010).”
A consistent test of independence based on a sign covariance related to Kendall's tau (2010, methodology): “Ordinal data frequently arise in many fields, though especially often in social and biomedical science (Kendall and Gibbons [13], Agresti [1]).”
Ordinal regression: A review and a taxonomy of models (2021, methodology): “Nowadays a multitude of models and corresponding software are available, for an overview of classical models see, for example, Agresti (2010, 2013), Tutz (2012).”
The polarizing effect of economic inequality on class identification: Evidence from 44 countries (2012, background): “Put another way, the random effect tells us how much the cut-points shift from the mean for a particular country (see Agresti, 2010: 281–287 for more details).”
The importance of wine attributes for purchase decisions: A study of Italian consumers’ perception (2013, methodology): “and to the specific nature of the judgment process (Agresti, 2010; Powers and Xie, 2000; Franses and Paap, 2001; Tutz, 2012).”