Overview

Unleash the full power of the Advanced versions Latent GOLD® and Latent GOLD® Choice with the new LG-Syntax^TM add-on module. Among the many new features, the Syntax module will allow you to estimate many new models including hidden Markov models, score new data files, submit runs in batch-mode, impute missing data, include only selected cases and obtain new output.

Advanced Option for Latent GOLD and LG Choice

The Advanced option contains additional advanced features for continuous latent variables (CFactors), multilevel modeling, and survey options for complex sample data. Learn More

Capabilities

• Run in interactive or batch mode
• Use saved models to score new cases
• Simulate data from any model
• Perform power calculations
• Impute (fill in) missing values in input data file
• Obtain additional output without re-estimating model
• Powerful / more flexible control over parameter restrictions
• Many new modeling capabilities:
• Seamless data fusion -- regress with several dependent variables to develop
• hybrid LC Choice / rating models
• hybrid MaxDiff / rating models
• Scale-factor adjusted LC choice models
• Latent path models
• Hidden Markov models
• Plus much more!

See our LG-Syntax Module brochure for more details

Tutorials

All sample datasets and sample .lgf (and .lgs) files used the tutorial below are downloaded to your computer when you install the demo version of Latent GOLD. To download individual datasets and .lgf files, please refer to our Sample Datasets Page.

Tutorial 1: Getting Started with LG-Syntax download PDF          + overview - overview This tutorial introduces the use of the LG-Syntax module, an add-on to the Advanced version of Latent GOLD. In this tutorial we utilize the data which was also used in ‘Tutorial #3: LC Regression with Repeated Measures.’ Since it is quite easy to setup a GUI model in Latent GOLD using the LG4.5 Windows Menu system, it is often useful to begin with a GUI model containing the basic elements of the desired syntax model. This GUI model can then be converted to an initial syntax model automatically using the ‘Generate Syntax’ option from the ‘Model’ menu. The goal of this tutorial is to illustrate this process, as well as show how to modify LG-Equations to obtain additional models. In this tutorial we will: Introduce the use of LG-Syntax Show how the LG-Syntax can be generated from a GUI model Examine the Equations section of the LG-Syntax Modify the LG-Equations to specify a different LC regression model See how parameter restrictions may be specified in different ways using the syntax We will reuse the data from ‘Tutorial 3: LC regression with Repeated Measures’ in this tutorial. While the data were generated under the assumption of the ordinal logit model, for simplicity in introducing the equation section of the LG-Syntax we will treat the dependent variable as continuous rather than ordinal, so that the models obtained are LC (linear) regression models.

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Latent GOLD

Latent GOLD 4.5 is a powerful latent class and finite mixture program. Latent GOLD contains separate modules for estimating three different model structures -- LC Cluster models, Discrete Factor (DFactor) models, and LC Regression models. Learn More

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