Karen Grace-Martin

About Karen Grace-Martin

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. Specialties: Statistical Consultant for Linear Regression and General Linear Models, Missing Data, Logistic Regression, Poisson and Negative Binomial Regression, Sample Size Calculations, Mixed Models, ANOVA Online Statistics Workshop Instructor for- Missing Data - Interpreting (Even Tricky) Regression Coefficients - Assumptions of Linear Models - SPSS GLM - Repeated Measures Analysis - Calculating Power and Sample Size

Experience

1. Statistical Consultant, Online Statistics Instructor

   The Analysis Factor

   Jul 2008 — Present · Ithaca, NY, US

Education

• Union College

  BS

  1988 — 1992

• UC Santa Barbara

  MA

  1992 — 1996

• UC Santa Barbara

  MA

  1996 — 1997

Skills

• Logistic Regression
• Quantitative Research
• Sample Size Estimation
• Data Analysis
• Missing Data
• Statistical Consulting
• Stata
• Research Design
• Mixed Model
• Statistics
• R
• Statistical Modeling
• Survey Design
• Sas
• Multivariate Statistics
• Anova
• Quantitative Analytics
• Linear Mixed Models
• Research
• Linear Regression
• Multivariate Analysis
• Experimental Design
• Repeated Measures Analysis
• Analysis
• Spss
• Psychology
• Survey Research