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Dichotomizing independent variables with responses on a 5-Likert scale for logistic regression analysis in SPSS can be done, but it's important to carefully consider the implications of this transformation. Dichotomization may lead to loss of information and statistical power, as well as potential oversimplification of the relationship between the independent variable and the outcome. Researchers should assess the validity and reliability of dichotomized variables, consider alternative modeling approaches (e.g., ordinal logistic regression), and interpret the results cautiously, taking into account the limitations of dichotomization.