AMOS模型输出结果卡方太大，P值显著，怎么修正模型

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各位高手帮帮忙，我是AMOS新手，利用459个样本数据，进行了AMOS模型拟合，但结果非常不理想：Computation of degrees of freedom (Default model)

Number of distinct sample moments:	190
Number of distinct parameters to be estimated:	47
Degrees of freedom (190 - 47):	143

Result (Default model)
Minimum was achieved
Chi-square = 1340.716
Degrees of freedom = 143
Probability level = .000







RMSEA

Model

RMSEALO 90HI 90PCLOSE

Default model

.135.129.142.000

Independence model

.183.177.189.000


Baseline Comparisons

Model

NFI
Delta1
RFI
rho1
IFI
Delta2
TLI
rho2
CFI

Default model

.520.426.548.454.543

Saturated model

1.0001.0001.000

Independence model

.000.000.000.000.000

RMR, GFI

Model

RMRGFIAGFIPGFI

Default model

.131.755.675.569

Saturated model

.0001.000

Independence model

.256.510.456.459希望各位帮我解决一下这个问题，多多感谢！
Baseline Comparisons

Model

NFI
Delta1
RFI
rho1
IFI
Delta2
TLI
rho2
CFI

Default model

.520.426.548.454.543

Saturated model

1.0001.0001.000

Independence model

.000.000.000.000.000
Parsimony-Adjusted Measures

Model

PRATIOPNFIPCFI

Default model

.836.435.454

Saturated model

.000.000.000

Independence model

1.000.000.000
NCP

Model

NCPLO 90HI 90

Default model

1197.7161084.1921318.672

Saturated model

.000.000.000

Independence model

2621.2812453.7442796.166
FMIN

Model

FMINF0LO 90HI 90

Default model

2.9272.6152.3672.879

Saturated model

.000.000.000.000

Independence model

6.0975.7235.3586.105
RMSEA

Model

RMSEALO 90HI 90PCLOSE

Default model

.135.129.142.000

Independence model

.183.177.189.000
AIC

Model

AICBCCBICCAIC

Default model

1434.7161439.0081628.7811675.781

Saturated model

380.000397.3521164.5201354.520

Independence model

2830.2812832.0162908.7332927.733
ECVI

Model

ECVILO 90HI 90MECVI

Default model

3.1332.8853.3973.142

Saturated model

.830.830.830.868

Independence model

6.1805.8146.5616.183
HOELTER

Model

HOELTER
.05
HOELTER
.01

Default model

5964

Independence model

3436

Execution time summary

Minimization:	.344
Miscellaneous:	.219
Bootstrap:	.000
Total:	.563

Parsimony-Adjusted Measures

Model

PRATIOPNFIPCFI

Default model

.836.435.454

Saturated model

.000.000.000

Independence model

1.000.000.000
NCP

Model

NCPLO 90HI 90

Default model

1197.7161084.1921318.672

Saturated model

.000.000.000

Independence model

2621.2812453.7442796.166
FMIN

Model

FMINF0LO 90HI 90

Default model

2.9272.6152.3672.879

Saturated model

.000.000.000.000

Independence model

6.0975.7235.3586.105
RMSEA

Model

RMSEALO 90HI 90PCLOSE

Default model

.135.129.142.000

Independence model

.183.177.189.000
AIC

Model

AICBCCBICCAIC

Default model

1434.7161439.0081628.7811675.781

Saturated model

380.000397.3521164.5201354.520

Independence model

2830.2812832.0162908.7332927.733
ECVI

Model

ECVILO 90HI 90MECVI

Default model

3.1332.8853.3973.142

Saturated model

.830.830.830.868

Independence model

6.1805.8146.5616.183
HOELTER

Model

HOELTER
.05
HOELTER
.01

Default model

5964

Independence model

3436

Execution time summary

Minimization:	.344
Miscellaneous:	.219
Bootstrap:	.000
Total:	.563

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关键词：AMOS模型 输出结果 amos AMO independence 模型

请各位多多帮忙！江湖救急！

以下为部分数据

补充数据如下：

模型本身界定有误，其次，存在一些不显著的路径。此外还应该看看修正指标，从中找问题。

关键看修正指标

南南数据 发表于 2015-2-3 18:12
模型本身界定有误，其次，存在一些不显著的路径。此外还应该看看修正指标，从中找问题。

非常感谢您的解答，但是因为我是新手入门，对照着书本做的，知道要进行修正，但不知道怎么操作，您方便详细告诉我怎样操作吗？

laodong1983 发表于 2015-2-3 18:49
关键看修正指标

谢谢您的回答，修正指标我应该从哪里知道要修正哪些呢

楼主你解决了吗，我也是遇到了类似的问题，修正了模型之后卡方自由度比值小于3，但是P值还是显著

Summer-silence 发表于 2015-2-3 20:16
谢谢您的回答，修正指标我应该从哪里知道要修正哪些呢

OUTPUT里面有个选项“Modification indices”，选上之后在输出中会有这一项，就是软件经过计算之后认为需要修正的内容。选择MI值高，并且理论上可以解释的地方进行修正。