有任何問題歡迎來信徵詢

最新版 Mplus V5.1 於2008年5月更新

Mplus是一個統計建模軟體為研究者提供了一個靈活的工具來分析數據，提供了多種選擇，具有易於使用的圖形界面和展示數據分析結果的模式,估計和算法。Mplus允許一起分析橫斷面和縱向數據，單層和多層數據，來自不同的母體的數據，無論可見或不可見的異質。可分析可見的變數是continuous, censored, binary, ordered categorical (ordinal), unordered categorical (nominal), counts或這些變數類型的組合。Mplus對遺漏值、複雜的調查數據和多層次的數據也有特別的功能。此外，Mplus對在蒙地卡羅模擬研究的任何可產生和分析數據的模型具有強大功能。

The generality of the Mplus modeling framework comes from the unique use of both continuous and categorical latent variables. Continuous latent variables are used to represent factors corresponding to unobserved constructs, random effects corresponding to individual differences in development, random effects corresponding to variation in coefficients across groups in hierarchical data, frailties corresponding to unobserved heterogeneity in survival time, liabilities corresponding to genetic susceptibility to disease, and latent response variable values corresponding to missing data. Categorical latent variables are used to represent latent classes corresponding to homogeneous groups of individuals, latent trajectory classes corresponding to types of development in unobserved populations, mixture components corresponding to finite mixtures of unobserved populations, and latent response variable categories corresponding to missing data.

主要功能:

1. 回歸分析和路徑

2. 探索性因素分析

3. 驗證性因素分析、結構方程建模

4. 生長建模與生存分析

5. 混合建模橫斷面數據

6. 縱向數據混合建模

7. 多造型複雜調查數據

8. 多層次混合建模

9. 蒙特卡洛研究