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- 注册时间
- 2013-11-14
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- 2014-9-15
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罗老师好,想请教您一个问题:, \% b' F: `8 S3 u4 N9 {
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我在Leadership Quaterly上面看到一篇文章,是用MSEM测试的 一个2-1-1-2 sequential mediation. % t, G+ r. E! f9 ?1 ^( H3 |6 J
( C# m) j/ ]( uNohe, C., Michaelis, B., Menges, J. I., Zhang, Z., & Sonntag, K. (2013). Charisma and organizational change: A multilevel study of perceived charisma, commitment to change, and team performance. The Leadership Quarterly, 24, 378-389.$ r* `3 U m& b! S
& c$ i+ x% R# k n在处理cross-level mediation的时侯,作者6 i: k( `3 M: L& [! `: D
“decompose the variance of a variable into its latent within-unit component (within-team variance) and a latent between-unit component (between-team variance; Lüdtke et al., 2008; Muthén & Asparouhov, 2009). Relationships between these variance components can be modeled independently at each level through the specification of structural and measurement models.”[p.383]4 n) k7 I8 |' X3 Y8 K( S5 |
3 N: f( W: [5 w: H6 v, n- U, S按照这个方法,我用Mplus把level 1的variable 分别在Level 1和Level 2作为latent variable 建Model (两个level 1的variable,每个都由7个item来衡量),然后只用Level 2的coefficients来计算the indirect effect of sequential mediation. 9 v7 k$ E2 ?1 ]0 q6 O
, A- @# h( d4 K/ J1 F虽然Mplus给出了coefficient的estimation和significance level,但是model整体“nonidentified”,然后Mplus report “THE NONIDENTIFICATION IS MOST LIKELY DUE TO HAVING MORE PARAMETERS THAN THE NUMBER OF CLUSTERS. REDUCE THE NUMBER OF PARAMETERS.”
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; c* @0 ?; [* M9 a我想这大概是主要因为每个latent variable的measure item比较多,可是group number只有39个的原因(虽然individual level sample 有1800多个)。
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; G7 r4 b9 P2 D& [- q+ z我试了另外一个model,不是用latent variable,而是用直接的aggregated variable分别在Level 1(mean of the 7 measure items) 和Level 2 (group average of the level 1 variable)参与模型运算。还是只看所有Level 2的coefficients来计算2-1-1-2的indirect sequential mediation。 Mplus就没有任何warning了。 2 }+ j( `+ e r! K( ^
/ D- d# \7 K" X! T/ E$ m$ j我想请问罗老师,如果我在limitation里面承认model有不完美的地方,我可以用我自己试的方法,不用latent variable,而是直接在Level 1和Level 2用aggregated value来计算一个2-1-1-2的模型么?
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真诚希望得到您的指点!
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, o5 M5 ~+ i/ x" [& }, N- c7 J谢谢先!
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