Mplus model4d 模型讲解

使用Mplus分析中介、调节和调节中介模型

理论模型
数学模型
数学推导
代码解读

大家好，欢迎来到本教程。这一页概述了我们今天将要学习的内容。我们将循序渐进地学习如何使用Mplus软件分析中介、调节和调节中介模型。首先，我们会讲解模型的理论基础，让大家理解这些模型背后的逻辑。接下来，我们会介绍相关的数学模型和公式，这部分会比较深入，但我们会尽量用通俗易懂的方式讲解。然后，我们会对模型的数学推导过程进行详细阐述，帮助大家理解结果的计算方法。最后，也是最重要的部分，我们会讲解Mplus代码，并详细解读每一行代码的含义，让大家能够熟练运用Mplus进行分析。通过本教程，相信大家能够轻松掌握使用Mplus进行中介、调节和调节中介模型分析的技巧。如有任何疑问，请随时提出。

理论模型

数学模型

数学公式1

logit(Y) = b0 + b1M + c'X

数学公式2

logit(Y) = b0 + b1M + c'X
M = a0 + a1X

数学公式3

logit(Y) = b0 + b1M + c'X
M = a0 + a1X
logit(Y) = b0 + b1(a0 + a1X) + c'X

数学公式4

logit(Y) = b0 + b1M + c'X
M = a0 + a1X
logit(Y) = b0 + b1(a0 + a1X) + c'X
logit(Y) = b0 + a0b1 + a1b1X + c'X

数学公式5

logit(Y) = b0 + b1M + c'X
M = a0 + a1X
logit(Y) = b0 + b1(a0 + a1X) + c'X
logit(Y) = b0 + a0b1 + a1b1X + c'X
logit(Y) = (b0 + a0b1) + (a1b1 + c')X

数学公式6

logit(Y) = b0 + b1M + c'X
M = a0 + a1X
logit(Y) = b0 + b1(a0 + a1X) + c'X
logit(Y) = b0 + a0b1 + a1b1X + c'X
logit(Y) = (b0 + a0b1) + (a1b1 + c')X
间接效应：a1b1  或者 exp(a1b1)

数学公式7

logit(Y) = b0 + b1M + c'X
M = a0 + a1X
logit(Y) = b0 + b1(a0 + a1X) + c'X
logit(Y) = b0 + a0b1 + a1b1X + c'X
logit(Y) = (b0 + a0b1) + (a1b1 + c')X
间接效应：a1b1  或者 exp(a1b1)
直接效应：c'  或者 exp(c')

代码解读1

USEVARIABLES = X M Y;

代码解读2

USEVARIABLES = X M Y;
CATEGORICAL = Y;

代码解读3

USEVARIABLES = X M Y;
CATEGORICAL = Y;
ANALYSIS:
TYPE = GENERAL;
ESTIMATOR = ML;

代码解读4

USEVARIABLES = X M Y;
CATEGORICAL = Y;
ANALYSIS:
TYPE = GENERAL;
ESTIMATOR = ML;
MODEL:
Y ON M (b1);
Y ON X (cdash);
M ON X (a1);

代码解读5

USEVARIABLES = X M Y;
CATEGORICAL = Y;
ANALYSIS:
TYPE = GENERAL;
ESTIMATOR = ML;
MODEL:
Y ON M (b1);
Y ON X (cdash);
M ON X (a1);
MODEL CONSTRAINT:
NEW(a1b1 ORa1b1);
a1b1 = a1*b1;
ORa1b1 = exp(a1*b1);

代码解读6

USEVARIABLES = X M Y;
CATEGORICAL = Y;
ANALYSIS:
TYPE = GENERAL;
ESTIMATOR = ML;
MODEL:
Y ON M (b1);
Y ON X (cdash);
M ON X (a1);
MODEL CONSTRAINT:
NEW(a1b1 ORa1b1);
a1b1 = a1*b1;
ORa1b1 = exp(a1*b1);
OUTPUT:
STAND CINT(bcbootstrap);

代码解读7

USEVARIABLES = X M Y;
CATEGORICAL = Y;
ANALYSIS:
TYPE = GENERAL;
ESTIMATOR = ML;
MODEL:
Y ON M (b1);
Y ON X (cdash);
M ON X (a1);
MODEL CONSTRAINT:
NEW(a1b1 ORa1b1);
a1b1 = a1*b1;
ORa1b1 = exp(a1*b1);
OUTPUT:
STAND CINT(bcbootstrap);
USEVARIABLES = X M Y;
CATEGORICAL = Y;
ANALYSIS:
TYPE = GENERAL;
ESTIMATOR = ML;
MODEL:
Y ON X M;
M ON X;
MODEL INDIRECT:
Y IND X;
OUTPUT:
STAND CINT(bcbootstrap);

资源汇总

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