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Amos 基本操作入 门 易黠 于 畅春园 2009.7.6
例子: Wheaton
绘制路径图
DATA
数据准 备
1 、 绘图 ,[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object]
2 、将数据 读入到 AMOS 中 ,[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object]
a.  潜在 变量命名。 ,[object Object]
b.  定 义潜变量间的关系 ( 结构模型 ) 。   ,[object Object],[object Object]
c.  为潜变量建立残差项。 ,[object Object],[object Object],[object Object]
[object Object],[object Object]
3 、 选择 AMOS 分析 选项运行模型   ,[object Object],[object Object],[object Object],[object Object]
运行模型 ,[object Object],[object Object]
[object Object]
解 释 AMOS 输出结果 ,[object Object],[object Object],[object Object],[object Object],[object Object]
评估整体拟合模型 ,[object Object],Result (Default model) Minimum was achieved Chi-square = 71.544 Degrees of freedom = 6 Probability level = .000
独立参数的 显著性检验 —— 未 标准化回归系数 Regression Weights: (Group number 1 - Default model) Estimate S.E. C.R. P Label Alienation1967 <--- SES -.110 .010 -11.045 *** Alienation1971 <--- SES -.043 .010 -4.497 *** Alienation1971 <--- Alienation1967 .607 .051 11.890 *** sei <--- SES 1.000 educatio <--- SES .192 .015 12.360 *** anomia67 <--- Alienation1967 1.000 powles67 <--- Alienation1967 .979 .062 15.889 *** anomia71 <--- Alienation1971 1.000 powles71 <--- Alienation1971 .922 .059 15.492 ***
违规估计 1 : 标准化回归系数超过 0.95 Standardized Regression Weights:  (Group number 1 - Default model) Estimate Alienation1967 <--- SES -.563 Alienation1971 <--- SES -.208 Alienation1971 <--- Alienation1967 .567 sei <--- SES .642 educatio <--- SES .841 anomia67 <--- Alienation1967 .775 powles67 <--- Alienation1967 .852 anomia71 <--- Alienation1971 .806 powles71 <--- Alienation1971 .832
违规估计 2 ,[object Object],Variances: (Group number 1 - Default model) Estimate S.E . C.R. P Label SES 185.274 21.514 8.612 *** D1 4.842 .468 10.354 *** D2 4.084 .404 10.099 *** e1 264.531 18.135 14.587 *** e2 2.804 .507 5.529 *** e3 4.729 .453 10.431 *** e4 2.563 .403 6.357 *** e5 4.396 .515 8.531 *** e6 3.072 .434 7.074 ***
正 态性检验( 3.8 原 则) ,[object Object],[object Object]
[object Object],[object Object]
拟合度综合说明   ( p188 ,荣泰生) model fit summary
缺失 值处理 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Amos 对数据类型的要求 ,[object Object],[object Object]
模型修正 ,[object Object],[object Object]
探索最佳模型 ,[object Object]
《数字 电视在中国大陆的采用:一个结构方程模型》 韦   路   李 贞芳
 
Reference ,[object Object],[object Object],[object Object]

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Amos Learning

  • 1. Amos 基本操作入 门 易黠 于 畅春园 2009.7.6
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  • 19. 独立参数的 显著性检验 —— 未 标准化回归系数 Regression Weights: (Group number 1 - Default model) Estimate S.E. C.R. P Label Alienation1967 <--- SES -.110 .010 -11.045 *** Alienation1971 <--- SES -.043 .010 -4.497 *** Alienation1971 <--- Alienation1967 .607 .051 11.890 *** sei <--- SES 1.000 educatio <--- SES .192 .015 12.360 *** anomia67 <--- Alienation1967 1.000 powles67 <--- Alienation1967 .979 .062 15.889 *** anomia71 <--- Alienation1971 1.000 powles71 <--- Alienation1971 .922 .059 15.492 ***
  • 20. 违规估计 1 : 标准化回归系数超过 0.95 Standardized Regression Weights: (Group number 1 - Default model) Estimate Alienation1967 <--- SES -.563 Alienation1971 <--- SES -.208 Alienation1971 <--- Alienation1967 .567 sei <--- SES .642 educatio <--- SES .841 anomia67 <--- Alienation1967 .775 powles67 <--- Alienation1967 .852 anomia71 <--- Alienation1971 .806 powles71 <--- Alienation1971 .832
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  • 24. 拟合度综合说明 ( p188 ,荣泰生) model fit summary
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