Karen Grace-Martin

Current

Owner at The Analysis Factor
Co-Author at Data Analysis With SPSS, 3rd Edition

Past

Statistical Consultant at Cornell University

Education

University of California, Santa Barbara
University of California, Santa Barbara
Union College

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Recommended

1 person has recommended Karen

Connections

49 connections

Industry

Research

Websites

Karen Grace-Martin’s Summary

Karen Grace-Martin, founder and president of The Analysis Factor, is a professional statistical consultant with Masters degrees in applied statistics and social psychology. Her career started in psychology research, where frustration in applying statistics led her to take more and more statistics classes, ultimately 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.

The Analysis Factor is dedicated to giving researchers the statistical services, resources, and support that they need to conduct quality research. Karen founded The Analysis Factor because she believes that the the frustration and overwhelm that researchers often experience in implementing statistics comes not from their own lack of ability, but from the lack of support they encounter as they learn new skills.

Karen was a statistical consultant at Cornell University for seven years before founding The Analysis Factor. Karen has worked with clients from undergraduate honor’s 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-authored, 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.

Karen Grace-Martin’s Specialties:

Linear Regression and General Linear Models, Missing Data, Logistic Regression, Poisson and Negative Binomial Regression, Sample Size Calculations, Mixed Models, ANOVA

Karen Grace-Martin’s Experience

Owner

The Analysis Factor

(Research industry)

Currently holds this position
Co-Author

Data Analysis With SPSS, 3rd Edition

(Writing and Editing industry)

2003 — Present (6 years )

Data Analysis With SPSS, by Stephen Sweet and Karen Grace-Martin, is an introductory statistics book using SPSS. It is written for sociology majors and uses data from the States Database and the General Social Survey.

It focuses on the concepts in statistics, and allows students to do the calculations in SPSS, rather than confusing them with hand calculations. Students learn both basic statistics and SPSS.
Statistical Consultant

Cornell University

(Research industry)

June 1999 — June 2006 (7 years 1 month)

As a statistical consultant at Cornell's Office of Statistical Consulting, I supported researchers in the Colleges of Human Ecology and Agricultural and Life Sciences who were implementing statistics in their research. I did one-on-one consulting, created and presented workshops, and wrote for and edited StatNews, our occasional newsletter.

Karen Grace-Martin’s Education

University of California, Santa Barbara

MA , Applied Statistics , 1996 — 1997
University of California, Santa Barbara

MA , Social Psychology , 1992 — 1996
Union College

BS , Psychology , 1988 — 1992

Additional Information

Karen Grace-Martin’s Websites:

Karen Grace-Martin’s Interests:

Sample Size Calculations, Linear Regression, General Linear Models, Missing Data, Logistic Regression, Poisson and Negative Binomial Regression, Complex Sampling, ANOVA, Multivariate Analysis