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Karen Grace-Martin
Karen Grace-Martin, the founder
and president of The Analysis Factor, is a professional statistical
consultant with Masters degrees in both applied statistics and social
psychology. Her career started in psychology research, where her
frustration in applying statistics to her data led her to learn more
statistics. She soon realized that her favorite part of research
was data analysis, leading to a career change. Her background in
experimental research and working with real data has been invaluable in
understanding the challenges that researchers face in using statistics.
Karen was a professional
statistical consultant at Cornell University for seven years before
founding The Analysis Factor. Karen has worked with clients from
undergraduate honors students on their first research project to
tenured Ivy League professors, as well as non-profits and
businesses. Her ability to understand what researchers need and
to explain technical information at the level of the researcher’s
understanding has been one of her strongest assets as a
consultant. She treats all clients with respect, and derives
genuine satisfaction from the relief she hears in their voices when
they realize that someone can help them.
Before consulting, Karen taught
statistics courses for economics, psychology, and sociology majors at
the University of California, Santa Barbara and Santa Barbara City
College. She has co-written an introductory statistics textbook
with Stephen Sweet: Data Analysis with SPSS. Karen has developed
and presented many statistics workshops, most recently on missing data,
logistic regression, and interpreting regression parameters.
Publications:
Sweet, Stephen A. and Karen
Grace-Martin. 2008. Data Analysis with SPSS, 3rd Ed.
Pearson Education.
Hutchens, Robert M. and Karen
Grace-Martin. 2004. “Employer Willingness to Permit Phased
Retirement: Why are Some More Willing Than Others?” Industrial
& Labor Relations Review, 59(4): 525-46.
Chang, Yao-Chien, Karen
Grace-Martin, & William B. Miller. 2004. Efficacy of
Exogenous Applications for Reducing Upper Leaf Necrosis in Lilium ‘Star
Gazer.’ HortScience, 39(2), 272-275.
Frongillo, Edward, Cara Olsen,
Francoise Vermeylen, & Karen Grace-Martin (2000). A Taxonomy
of Statistical Services: Organizing a University Statistical Consulting
Office. Persented at the Joint Statistical Meetings,
Indianapolis, IN.
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