Multivariate Location-Scale Models for Meta-Analysis Research

A research paper proposes a multivariate location-scale model for meta-analysis. The model allows between-study variances and correlations to depend on covariates, extending standard constant-heterogeneity assumptions. The work by Katrin Jansen was published in March 2026.

Use Cases

• Simulating model performance by comparing univariate and bivariate location-scale models under different estimation methods.
• Applying the proposed model to data from a meta-analysis on the effects of motivational reading instruction on reading achievement and motivation.
• Investigating how covariates influence between-study variances and correlations in multivariate meta-analyses.

Strengths

• Includes a full simulation study examining model performance.
• Provides a concrete application example using meta-analysis data on reading instruction.

Limitations

• The 6.6 MB size indicates it is primarily a document, not a structured dataset for direct analysis.
• No structured data columns or sample rows are provided for immediate computational use.

Provenance

Source

Katrin Jansen via figshare.

Collection Method

Methodological research paper with simulation and applied example.

Freshness

Last updated March 2026.