MPlus 4 統計分析軟體

　

Mplus軟體兩個主要的功能－使用簡單和一般性的模組化。Mplus 介紹許多獨一無二的特徵，包含在方程結構模型(structural equation modeling), growth modeling, mixture modeling, multilevel modeling，並結合這些模型化特徵。

　

Mplus 被分成一個基本的程式和三個可以增加在基本程式上的模組。Mplus基本程式藉著連續潛在被描述的因子和隨機效應，所產生的變數來估計模型。它提供了因子分析模型(factor analysis models)、路徑分析模型(path analysis models)、方程結構模型(SEM)和發展模型(growth models)。三個模組是a Mixture Add-On, a Multilevel Add-On, and a Combination Add-On。這樣的安排可以讓使用者彈性地選擇附加的模組來滿足她們分析的需要，購買基本程式後附加的模組可以在任何時候被購買。

　

發現 Mplus 的強大功能和易於使用

　

Mplus is a comprehensive modeling program that integrates random effect, factor, and latent class analysis in both cross-sectional and longitudinal settings and for both single-level and multi-level data.

　

■ Cross-Sectional Analyses

● Factor analysis and structural equation modeling - unique features for categorical and multilevel data
● Multilevel regression analysis - unique features for combining random effects and factors
● Latent class analysis - unique features for covariates and complex sample data
● Finite mixture analysis - unique features for model testing and complex sample data
● Complier-average causal effect estimation in randomized trials - unique features for complex samples and missing data with latent ignorability

　

■ Longitudinal Analyses

● Mixed-effects repeated measures modeling - unique features for latent trajectory class analysis
● Multilevel analysis - unique features for 3-level growth modeling
● Discrete-time survival analysis - unique features for mixtures of latent classes
　

■ Monte Carlo Simulations

● Estimation and power investigations for
- Random effect models
- Multilevel models
- Mixture models

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