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卡住的時候先找原因

找原因比多跑一次值錢

診斷檢核

四階段的驗證管線

沒有基準線，就沒有可比較的結果

管線檢核

質性研究者的對應做法

編碼迭代與那條紅線

倫理檢核

收尾

你現在可以做的一件事

AI 賦能學術研究系列的第五課：結果不如預期時先診斷再行動、四階段驗證管線與基準線優先原則，以及質性研究者的編碼迭代與資料倫理紅線。

分析跑出來的結果不對，多數人的反應是再跑一次、換個參數、加大樣本。但真正該做的第一件事是找出原因。這一課給你一套診斷紀律、一條四階段的驗證管線，以及質性研究者的對應做法與那條不能跨的資料倫理紅線。.

第五課：做得動

<div class="simple-box-wrapper"> <div class="simple-box"> <div class="column"> <h3>Description</h3> <div class="ck-horizontal-line"><hr></div> <p>I'm a paragraph. Click to start writing that will inform, inspire, or encourage your community. We know you have so many things to share with the world. Happy editing!</p> </div> </div> </div>