Mplus model1c 模型讲解

Mplus调节效应分析教程：基于多组方法

理论模型
数学模型
代码解读
结果解读与条件效应计算

大家好，欢迎来到本节 Mplus 调节效应分析教程。本教程将手把手教你如何用 Mplus 进行简单的调节效应分析，重点讲解如何利用多组方法处理二分调节变量。我们会依次讲解四个部分：首先，我们会介绍一下本教程使用的理论模型，也就是我们想要研究的变量之间的关系；然后，我们会给出这个模型对应的数学表达形式，也就是用数学公式来描述变量之间的关系；接下来，我们会详细解读 Mplus 的代码，包括每一个语句的含义和作用，让你能够轻松上手；最后，我们会讲解如何解读Mplus的输出结果，并进行条件效应的计算和解释。本教程基于 Andrew Hayes 的 PROCESS 程序示例改编，力求简单易懂，帮助大家快速掌握 Mplus 在调节分析中的应用。希望大家能够通过本教程，学习到如何用 Mplus 进行调节分析，并能够将其应用到自己的研究中。请大家跟着我的讲解，一步一步学习。

理论模型

数学模型

数学公式1

Y = b0 + b1X + b2W + b3XW

数学公式2

Y = b0 + b1X + b2W + b3XW
Y = (b0 + b2W) + (b1 + b3W)X

数学公式3

Y = b0 + b1X + b2W + b3XW
Y = (b0 + b2W) + (b1 + b3W)X
b1 + b3W

数学公式4

Y = b0 + b1X + b2W + b3XW
Y = (b0 + b2W) + (b1 + b3W)X
b1 + b3W
当 W = 0 时，Y = b0 + b1X
当 W = 1 时，Y = (b0 + b2) + (b1 + b3)X

代码解读1

USEVARIABLES = X W Y XW;

代码解读2

USEVARIABLES = X W Y XW;
GROUPING = W (0 = GP0 1 = GP1);

代码解读3

USEVARIABLES = X W Y XW;
GROUPING = W (0 = GP0 1 = GP1);
ANALYSIS:
TYPE = GENERAL;
ESTIMATOR = ML;

代码解读4

USEVARIABLES = X W Y XW;
GROUPING = W (0 = GP0 1 = GP1);
ANALYSIS:
TYPE = GENERAL;
ESTIMATOR = ML;
MODEL:
Y ON X;

代码解读5

USEVARIABLES = X W Y XW;
GROUPING = W (0 = GP0 1 = GP1);
ANALYSIS:
TYPE = GENERAL;
ESTIMATOR = ML;
MODEL:
Y ON X;
MODEL GP0:
[Y](b0g0);
Y ON X (b1g0);
Y (vary);

代码解读6

USEVARIABLES = X W Y XW;
GROUPING = W (0 = GP0 1 = GP1);
ANALYSIS:
TYPE = GENERAL;
ESTIMATOR = ML;
MODEL:
Y ON X;
MODEL GP0:
[Y](b0g0);
Y ON X (b1g0);
Y (vary);
MODEL GP1:
[Y](b0g1);
Y ON X (b1g1);
Y (vary);

代码解读7

USEVARIABLES = X W Y XW;
GROUPING = W (0 = GP0 1 = GP1);
ANALYSIS:
TYPE = GENERAL;
ESTIMATOR = ML;
MODEL:
Y ON X;
MODEL GP0:
[Y](b0g0);
Y ON X (b1g0);
Y (vary);
MODEL GP1:
[Y](b0g1);
Y ON X (b1g1);
Y (vary);
MODEL CONSTRAINT:
NEW(b3);
b3 = b1g1 - b1g0;

代码解读8

USEVARIABLES = X W Y XW;
GROUPING = W (0 = GP0 1 = GP1);
ANALYSIS:
TYPE = GENERAL;
ESTIMATOR = ML;
MODEL:
Y ON X;
MODEL GP0:
[Y](b0g0);
Y ON X (b1g0);
Y (vary);
MODEL GP1:
[Y](b0g1);
Y ON X (b1g1);
Y (vary);
MODEL CONSTRAINT:
NEW(b3);
b3 = b1g1 - b1g0;
PLOT(LINEGP0 LINEGP1);
LOOP(XVAL,1,5,0.1);
LINEGP0 = b0g0 + b1g0*XVAL;
LINEGP1 = b0g1 + b1g1*XVAL;

代码解读9

USEVARIABLES = X W Y XW;
GROUPING = W (0 = GP0 1 = GP1);
ANALYSIS:
TYPE = GENERAL;
ESTIMATOR = ML;
MODEL:
Y ON X;
MODEL GP0:
[Y](b0g0);
Y ON X (b1g0);
Y (vary);
MODEL GP1:
[Y](b0g1);
Y ON X (b1g1);
Y (vary);
MODEL CONSTRAINT:
NEW(b3);
b3 = b1g1 - b1g0;
PLOT(LINEGP0 LINEGP1);
LOOP(XVAL,1,5,0.1);
LINEGP0 = b0g0 + b1g0*XVAL;
LINEGP1 = b0g1 + b1g1*XVAL;
PLOT: TYPE = plot2;

代码解读10

USEVARIABLES = X W Y XW;
GROUPING = W (0 = GP0 1 = GP1);
ANALYSIS:
TYPE = GENERAL;
ESTIMATOR = ML;
MODEL:
Y ON X;
MODEL GP0:
[Y](b0g0);
Y ON X (b1g0);
Y (vary);
MODEL GP1:
[Y](b0g1);
Y ON X (b1g1);
Y (vary);
MODEL CONSTRAINT:
NEW(b3);
b3 = b1g1 - b1g0;
PLOT(LINEGP0 LINEGP1);
LOOP(XVAL,1,5,0.1);
LINEGP0 = b0g0 + b1g0*XVAL;
LINEGP1 = b0g1 + b1g1*XVAL;
PLOT: TYPE = plot2;
OUTPUT: STAND CINT;

资源汇总

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