我看了一些文獻,提到CFA樣本數的標準
1. Ding (1995): "if N was bigger (i.e. 200 or more), improper solutions were rare even the p/r = 2 or 3." number of indicator per factor = p/r ratio.
意指樣本數 > 200時,即使每個因素底下只有2或3個變項,也較不會出現不合適的結果。
2. Bentler (1987): "with less than 200 subject...The ratio of sample size to number of free parameters may be able to go as low as 5:1... a ratio of at least 10:1 may be more appropriate for arbitrary distributions."
此處的比率是指樣本數比參數數目。樣本數標準為比率 5:1-10:1,但至少要有200位樣本數。
FDT研究的參數數目為10,依據標準需要樣本數200。
FDT的參數數目如何計算出來?
回覆刪除參數數目的計算:每個變項的因素負荷量 + 每個變項的誤差值
回覆刪除FDT模式:2個因素,attention因素有3個變項(指標),executive functions因素有2個變項(指標)。
FDT的參數數目的計算:5個變項的因素負荷量 + 5個變項的誤差值 = 10