研究建議

本節根據研究過程與結論，提出以下幾點建議：

一、從本研究結論中可得知，在試題存在違反局部獨立的情形下，HLM6.03 估計 參數精準度較 BILOG-MG 佳，因此可以 HLM 軟體代替 BILOG-MG 進行參 數估計。

二、從本研究的結果中可發現，兩模式在一些模擬因子組合下的估計效果指標，

並無呈現相同的趨勢，推測可能與本研究所設定的複製次數 50 次有關，因 此建議未來研究者可提高複製次數，可使結果更趨於穩定。

三、本研究中只設定三個模擬因子，未來的研究可增加模擬因子，像是題組數等，

使研究結果更具完整性。

四、本研究結果中，在某些模擬情境裡存在著無法解釋的估計表現趨勢，推測可 能是由於本研究在產生模擬資料時，利用 SAS 軟體一次產生 50 筆資料集而 導致模擬資料存在異常情況，建議未來相關的模擬研究在產生資料時，一次 產生一筆資料集。

五、本研究在估計軟體 HLM6.03 中，選用 REML 估計法，而 BILOG- MG 選用 ML 估計法，因此參數的估計效果是由模式與估計法一起造成。建議未來研 究者可使用相同的估計法，更可突顯參數估計效果是由模式所造成的差異。

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