在運用羅吉斯迴歸模式作資料分析時，若是違反了模式的假設，則所做出來的模式都會導致錯誤的統計推論。因此，模式的診斷常常被應用來發掘問題並判斷假設是否合理。本研究是將以往文獻中相關議題的討論做一個有系統的整理，俾便往後的研究者在作羅吉斯迴歸模式診斷時，能有一個可以依循的準則。此外，每種模式診斷的方法皆附上範例及分析過程以供參考。 / When the assumptions of logistic regression analysis are violated, any calculation of a logistic model may lead to invalid statistical inference. Diagnostics are frequently employed to explore problems and determine whether certain assumptions are reasonable. We survey relevant literatures on diagnostics and try to provide a guideline for detecting and correcting violations of logistic regression assumptions.