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Dichotomizing independent variables with 5-Likert scale responses in logistic regression analysis using SPSS can be done, but researchers should carefully consider the implications of this transformation. Dichotomization may lead to loss of information, decreased statistical power, and 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. Additionally, sensitivity analysis and validation with independent datasets can help evaluate the robustness of the logistic regression model and the reliability of the findings.