simsem: Simulated Data for Structural Equation Modeling Studies

simsem provides a framework for generating simulated data for Monte Carlo studies in structural equation modeling. The dataset is authored by Sunthud Pornprasertmanit and is hosted on the paperswithcode platform. Its specific size, row count, and last update date are not provided.

Use Cases

• Conducting power analysis for structural equation models based on the simulation framework.
• Evaluating model fit indices under various conditions based on the Monte Carlo simulation capability.
• Planning and testing methods for handling missing data based on the described simulation purposes.

Strengths

• Framework is designed for a specific, advanced statistical methodology (structural equation modeling).
• Author attribution (Sunthud Pornprasertmanit) is provided.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

paperswithcode

Collection Method

Simulated data generated via a Monte Carlo framework.

Time Range

Temporal coverage is unknown.

Freshness

Last update date is unknown; freshness unverified.

Geography

Spatial coverage is unknown.