Item response theory (IRT) models are factor for dichotomous or polytomous variables (i.e., item responses). The symmetric logistic probit link functions most frequently utilized modeling items. In this article, we propose an IRT model and items using the asymmetric generalistic function that covers a lot of functions. Compared to based on function, generalized additionally estimates two parame...

Multiple Logistic Regression Just as in OLS regression, logistic models can include more than one predictor. The analysis options are similar to regression. One can choose to select variables, as with a stepwise procedure, or one can enter the predictors simultaneously, or they can be entered in blocks. Variations of the likelihood ratio test can be conducted in which the chi-square test (G) is...