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Michael J. Mahometa, Ph.D.

Mahometa statistics staff w 1

Technical Areas of Interest: Design and collection of data for experiments in the behavioral sciences, T-test, ANOVA, ANCOVA, MANOVA (independent and dependent designs), Regression (including OLS, logistic, and multinomial logistic), moderation analysis within regression.

Appointment Availability: Mon 12:30-2:30pm, Tues 3-5pm, Thurs 10am-12pm

Background: Dr. Mahometa received his Ph.D. in Psychology from The University of Texas at Austin in 2006. His major course work was completed in Behavioral Neuroscience, with a minor in Statistics. His background in animal models of learning makes him familiar with full factorial designs - which he is expanding to include classic DOE concepts. He is currently available to assist graduate students and faculty in study methodology, data analysis, data presentation, and result writing. He is most familiar with the following statistical software packages: SPSS, SAS, R, Stata, JMP, StatView, SuperANOVA.

Education: Ph.D., Psychology, University of Texas at Austin, 2006; B.S., Psychology, University of Scranton, 1998

Sally Ragsdale, M.S.

Amen statistics staff 2 1Technical Areas of Interest: General Linear Models, ANOVA, Logistic Regression, Mixed Models, Longitudinal Data Analysis, Exploratory and Confirmatory Factor Analysis, Mediation and Moderation.

Appointment Availability: Tues 10am-12pm, Wed 10am-12pm, Fri 10am-12pm

Background: Sally received her Master of Science degree in Statistics from the University of Texas at Austin in 2012. For her Master’s Report, she wrote a program in R which calculates the linear model estimates for bivariate data with correlated measurement errors. Prior to graduate school, she worked for four years as a statistical analyst for a survey research company specializing in transportation survey analysis. She is most familiar with the R, SPSS, and Stata statistical software packages, but also uses Matlab and SAS.

Education: M.S., Statistics, University of Texas at Austin, 2012; B.A., Mathematics, University of Texas at Austin, 2006

Erika Hale, M.S.

Hale statistics staff 1Technical Areas of Interest: T-tests, Nonparametric tests, ANOVA and repeated-measures ANOVA, ANCOVA, MANOVA, Regression, Logistic regression, Mediation and Moderation, Factor analysis, Generalized Linear Models, Mixed models, Survival analysis, SEM

Appointment Availability: Tues 12:30-2:30pm, Wed 12:30-2:30pm, Thurs 12:30-2:30pm

Background: Erika received her Master of Science degree in Statistics from Florida State University in 1993. After graduating, she joined Merck, Inc. as a statistician on Phase I, II, and III clinical trials. She then worked for a contract research organization on numerous statistical projects with clients in the pharmaceutical industry. She has been a statistical consultant for the Division of Statistics and Scientific Computation since September, 2007 and has taught SPSS for the UT Summer Statistics Institute. Erika uses the SPSS, Stata, and SAS statistical packages as well as R.

Education: M.S., Statistics, Florida State University, 1993; B.S., Mathematics, University of Texas at Austin, 1992