Therefore, when the dependent variable consists of several categories, a maximum likelihood estimator, such as multinomial logit or probit, should be used instead of the ordinary least square estimator ( 2). However, using the standard linear regression for the analysis of a double-level or multi-level outcome can lead to unsatisfactory results because the validity of this regression model relies on the variability of the outcome being the same for all values of predictors, which is contrary to the nature of double-level or multi-level outcomes ( 1). It is essential in a standard linear regression analysis that dependent variables are continuous.
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