Your statistics project done to the highest standards of quality, ethics, and service, while you focus on your research.

At The Analysis Factor, we are on a mission to improve researchers’ statistical capacity. But there are times when turning your statistics over to a professional makes sense.

Do you:

• have part of a project that has to be done in an unfamiliar software package or with a specific, highly difficult statistical technique that would require months of training to complete yourself
• want the added authority of a statistician listed on a grant proposal
• want and need a professional statistician on your team, but don’t have the space, funding, or time to hire a staff member

So we have partnered with some amazing statisticians, to whom you can turn over your data with confidence.

Although they are not employees of The Analysis Factor, they are part of our network of independent professionals.  As such, we highly recommend their work and support them with resources and advice when needed.

As part of our network, they abide by our high standards of client privacy and customer service.

To get started, simply:

1. download and fill out a  New Client Questionnaire.

2. Email it back to consulting@theanalysisfactor.com.

3. Our consulting coordinator will send it on to your preferred statistician, who will contact you to learn more about your project.  You and the statistician can then make sure it’s a good fit.

That’s it.  If you have a preference for which of our partners you’d like to work with, just indicate it on the questionnaire.  If you aren’t sure who would be a good fit, we’ll be happy to recommend someone based on your research topic, statistical analysis, timeline, and software needs.

Our Partners

(in alphabetical order)

Maike Rahn, PhD

Maike’s analysis specialties include:

• linear regression
• logistic regression
• linear mixed models
• complex survey analysis
• factor analysis

She works mostly with SAS, but takes projects that require SPSS as well.

Maike is a health scientist with a strong background in data analysis. Her experience in statistical analysis stems from her work as a nutritional scientist at Cornell University and as a health researcher in clinical settings in New York City.   Maike has a Ph.D. from Cornell University.

Jane Yank, PhD

Jane Yank’s areas of statistical expertise include:

• exploratory data analysis, t-tests and ANOVAs
• categorical data analysis
• linear regression
• linear mixed models
• discussing and refining research questions

She uses R, SPSS, and Minitab.

Jane  has a PhD in kinesiology with a concentration in statistics and master’s degrees in social work and human development.   Currently, she consults for a large medical system and teaches research courses at a small liberal arts college in Minnesota.