I provide professional consultation for research design and data analysis. I have extensive experience with applied statistics, including teaching, consulting, and use in my own research.
I can help make sure you get the best evidence you can to answer the questions you want answered. I help my clients connect their ideas to data at every stage of the process, including study design, survey design and assessment, data cleaning, selecting appropriate analysis techniques, implementation, and interpretation of results.
I look forward to helping you understand your data!
Mar 22, 2017 · 32 minute read
One of the most widely-used models is the confirmatory factor analysis
(CFA). It specifies how a set of observed variables are related to some
underlying latent factor or factors. In this post, I step through how to
run a CFA in R using the lavaan package, how to interpret your output,
and how to write up the results.
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Mar 21, 2017 · 1 minute read
This website is relatively new, but I’ve been writing about stats and data analysis online for a while. Here are some links to explanations and tutorials I’ve written over the years, many of which focus on implementation in R.
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