I will develop mixed effects and multilevel models for your research data
Expert Data Analyst: Turning Data into Insights or Academic Excellence
Level 1
Has met certain performance criteria and shows strong potential in the marketplace.
About this Gig
Need advanced multilevel modeling for nested or longitudinal data? I'll develop and evaluate mixed effects models that properly handle your data structure and research questions.
12+ years multilevel modeling expertise
200+ complex statistical projects
R, SPSS, Stata, HLM proficiency
Publication-ready methodology sections
What you get:
- Data structure assessment & preparation
- Random/fixed effects specification
- Model building & comparison
- Assumption testing & diagnostics
- ICC calculations & variance decomposition
- Model interpretation & effect sizes
- Complete syntax & methodology write-up
Perfect for: PhD students, researchers, longitudinal studies, clustered data analysis
I handle: Nested data, repeated measures, growth curves, cross-classified models
Delivery: Full analysis report + syntax + consultation for interpretation
Transform complex data structures into rigorous statistical models!
Technology:
Excel
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Stata
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SPSS
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RStudio
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Jamovi
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Gretl
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Other
Expertise:
Experiment design
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Regression testing
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Other
Programming language:
R
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Other
My Portfolio
Other Data Analytics Services I Offer
FAQ
How do I know if I need multilevel modeling?
If your data has clustering (students in schools, patients in hospitals, repeated measures) or hierarchical structure, multilevel models are essential. I'll assess your data structure and recommend the appropriate approach.
Can you handle longitudinal growth curve models?
Absolutely! I specialize in growth curve modeling, change over time analysis, and trajectory modeling. This includes linear, quadratic, and piecewise growth models with individual and group-level predictors.
What software do you recommend for multilevel analysis?
I work with MPlus, R (lme4, nlme), SPSS Mixed Models, Stata xtmixed. I'll recommend MPlus as the best option based on your model complexity, data size, and institutional software availability.

