Abstract
Every statistic requires some assumptions. This paper examines some of the assumptions in regression-style analyses of the stability of self-esteem, and inspects the consequences of some of the assumptions one makes with regard to measurement error and the distribution of variables.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright (c) 1999 Lee M. Wolfle (Author)
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