Thesis and Dissertation Advisors - Statistics
DR. VICTORIA BRIONES
DR. VICTORIA BRIONES graduated with a Ph.D. in Organizational Psychology from Columbia University. While completing her graduate studies, she taught applied regression analysis to graduate students in education and psychology. Students enjoyed her regression course because she was able to translate complex statistical concepts into a language that the “stats phobic” students could easily understand. Victoria was also an assistant lecturer in research methods (and received the highest mean evaluation for teaching performance). After graduating, she was a research vellow at Harvard University's Kennedy School of Government. As a fellow, she conducted statistical analyses and wrote articles on negotiation behavior and conflict resolution with her former dissertation adviser.
In the last two years, Victoria has worked as a statistical consultant, helping graduate students in psychology, education, nursing, biology, and business hone their study hypotheses, arrive at better operational definitions of their study variables, and improve procedures to increase the internal and/or external validity of their study. She also performed general statistical procedures such as reliability analyses, non-parametric tests (e.g., Mann-Whitney, Kruskal-Wallis, and chi-square tests), t-tests, analysis of variance (ANOVA), analysis of covariance (ANCOVA), exploratory factor analysis (EFA), and linear regression. Further, she conducted multivariate tests such as multivariate analysis of variance (MANOVA), logistic regression, and structural equation modeling (SEM; using AMOS, LISREL, and EQS). Victoria also created summary tables and graphs of statistical findings and helped students interpret their study results. More importantly, she enjoyed explaining basic statistical procedures and findings to clients who had a limited understanding of such concepts.
Scope: research methods, reliability analyses, t-tests, ANOVA, repeated-measures ANOVA, ANCOVA, exploratory and confirmatory factor analyses, multiple linear regression, logistic regression, MANOVA, structural equation modeling (AMOS, LISREL, and EQS)
TOM GRANOFF
Scope: multivariate statistics, behavioral sciences, data processing, marketing research, forensic psychology, research design, SPSS, SAS, survey research, medical research, web-based surveys, quantitative methods, focus groups, interviewing techniques, qualitative methods, correlational analysis, research methodologist, ANOVA, MANOVA, logistic regression, multiple regression, discriminant function analysis, factor analysis, Method's Chapter editing, Final Oral examination preparation.
TOM GRANOFF, Ph.D., has spent almost 30 years providing research methodological and data analysis support in academic settings using SPSS and SAS. Tom typically works on numerous scholarly projects each year. Tom assists students who are obtaining advanced degrees in psychology, counseling, education, public health, leadership, business, marketing, sociology, management, and nursing. He also worked for many years in marketing research and data processing positions in the health care industry. A popular instructor, Dr. Granoff teaches graduate-level research methods and statistics courses for Loyola Marymount University and Pepperdine University, both in Los Angeles. He prides himself in being able to explain most multivariate statistical tests in simple English without using complex mathematical formulas. Tom educates his clients so that they car take full responsibility for the contents of their study, and assists them in preparing for their oral defense. His formal education includes a Ph.D. in Clinical Psychology plus Master's degrees in Theology and Industrial/Organizational Psychology.
For research proposals (Methods Chapter), Tom provides technical assistance in the following ways: helping set up the research design, reviewing surveys, assistance in selecting appropriate statistical tests, helping determine needed sample sizes (power analyses), helping develop operational definitions; developing hypotheses/research questions; measuring constructs; and tutoring students in the understanding and usage of appropriate research and statistical terminology. Tom often edits the Methodology Chapter to ensure that the purpose statement, research questions, the hypotheses, the data gathered, and the statistical approaches are in accord.
For data analysis projects (Results Chapter), Tom’s provides ethical assistance that does not conflict with your university’s plagiarism and academic integrity policies. Tom will first have a brief free consultation with the student’s thesis/dissertation advisor and gain the appropriate permission before any formal work is conducted. After securing written permission, Tom can provide any of the following services: create suitable SPSS files, help prepare the dataset for analysis, run relevant statistical tests or teach the student how to do it themselves, provide tutoring in the interpretation of SPSS output, and provide generic examples of how SPSS output could be transformed into APA style tables and narrative. After the student has the draft of the Results Chapter, Tom can then provide technical editing to ensure the findings are presented in a clear, accurate and compelling manner.
RONALD B. MARKS, PhD
Ronald B. Marks, PhD was a marketing professor, now retired from the University of Wisconsin. He received his Ph.D. from the University of Missouri - Columbia, with a major in Marketing and minor in statistics. During his thirty year career, he taught undergraduate and graduate market research and multivariate statistics amongst other courses. He made extensive usage of SPSS, Minitab, and LISREL in both teaching and research. His research credentials in the use of multivariate statistics are evidenced in articles, such as: "A Structural Equation Model of Predictors for Effective Online Learning," Journal of Management Education, 29 (4), August, 2005 and "Psychometric Evaluation of the ADAPTS Scale," Journal of Personal Selling and Sales Management, Vol. XVI (4) (Fall, 1996, 53-56)
He attended seminars in "Multivariate Statistics" at the University of Colorado and "General Structural Equation ("Lisrel") Models," (Introduction and Advanced) at the Inter University Consortium for Political and Social Research, University of Michigan, Ann Arbor. He also conducted similar faculty seminars in Multivariate Statistics at the University of Wisconsin.
In counseling dissertation students and business clients, his experience is that "a problem well defined is half solved." Or as Tom Peters suggested in his best-selling book on management, "if you don't know where you are going, you are likely to end up somewhere else." That is, no matter how arcane the statistics employed, they will never compensate for poorly stated hypotheses and literature review. Hence, when consulting with students, he helps them first develop lucid, operational hypotheses and then determines which statistical methods to use, rather than the converse.
Scope: multivariate statistics, behavioral sciences, marketing research, research design, SPSS, Minitab, structural equation modeling (LISREL), survey research, web-based surveys, quantitative methods, correlation, ANOVA, MANOVA, multiple regression, discriminant analysis, factor analysis, methodology chapter editing, nonparametric tests (such as chi-square or Mann-Whitney U Test), statistical application to social science data (e.g. psychology, sociology, economics) and business data (e.g. finance, business, and marketing), can aid with set-up of data files, analysis of sample characteristics, can also help develop persuasive Power Point presentations for oral defenses or business presentations. Additional Information >>
RAY D. MOORING, PHD
Raymond D. Mooring, Ph.D. has spent nearly a decade studying, teaching, and analyzing statistics. He received a Ph.D. in Atmospheric Science with a concentration in Statistical Climatology from Georgia Institute of Technology.
While working for the US Department of Treasury as a Statistician, Ray has authored or co-authored over 25 sensitive, but unclassified technical reports. In this capacity, he conducted data analysis for research teams, provided assistance to other analysts when initiating, planning, implementing, controlling, modifying, and executing all parts of a research project, and reviewed and analyzed all material produced for studies for reasonableness and accuracy.
Ray has taught statistics to undergraduate business majors and graduate MBA students. He currently teaches statistics to non-Math majors. In addition, Ray has provided statistical support to students in diverse fields such as climatology, mechanical engineering, electrical engineering, chemistry, education, finance, biology, and even ministry.
Ray can help clients demystify statistics. Regardless if you need help in conceptualizing the methodology section of your dissertation, setting up your experiments, analyzing your results, interpret your results, or proving or disproving your company’s hypothesis, Ray will be able to provide you with accurate answers that are easy to understand and actionable.
Finally, Ray takes pride in teaching others statistics. As a result, he will teach short statistics courses to your department or company. If you do not have a training budget for your employees, providing a short course is an economical way to train several employees in the fundamentals and applications of statistics. Short course notes may also be provided if you like.
Scope:
Science – Statistical Analysis, Biostatistics, Abstracts, Dissertations and Theses, Reports, Research Papers, Presentations, Curriculum Development, Fact Checking
Technical – Statistical Analysis, Tutorials and Training Materials, White Papers, Reports
Social Science – Statistical Analysis, Market Research Survey Design
Business – Statistical Analysis
----SPSS, SAS, MATLAB, statistical analysis, developing methodology for experiments, statistics tutor (will provide lecture notes that explain statistical techniques simply), data entry, preparation of tables and graphs, writing reports of findings, nonparametric data analysis, time series analysis, spectral analysis, forecasting and prediction, model creation and validation, spatial analysis, design of experiments, hypothesis testing, principal component analysis, Anova and regression analysis, clustering methods, applying statistical methods to scientific data (e.g. environmental science, biology, physics), applying statistical methods to social science data (e.g. psychology, sociology, economics), applying statistical methods to financial data (e.g. finance, business, and marketing), survey design, distribution fitting of data, statistics education of non-math majors.
DR. WILLIAM NASBY
Dr. William Nasby received his Ph.D. in Personality and Development/Applied Multivariate Statistics from Harvard University in 1980 and his B.A. in Psychology from Brown University in 1975. His subject-matter expertise spans a wide range of psychological subfields, including Personality, Developmental Psychology, Social Psychology (especially social cognition), Evolutionary Psychology, the Psychology of Emotion, Cognitive Experimental Psychology (especially the interactions between affect and cognition), and Clinical Psychology (notably major depression, anxiety disorders, dissociative disorders, PTSD, and the evaluation of treatment outcome and therapeutic process). In addition, Dr. Nasby has attained professional recognition for his expertise in Multivariate Statistics, Psychological Assessment (clinical and personality), Psychometrics (psychological measurement as well as test construction and evaluation), and Research Design/Methodology.
With over 20 years of experience as a professor, first at a major university and then at a doctoral program in clinical psychology (APA-accredited), Dr. Nasby received numerous awards for excellence and innovation both in teaching and in research. His teaching awards include courses in Personality (Theory, Research, and Assessment), Psychological Assessment, Psychology as a Social Science, the Cognitive-Affective Bases of Behavior, Research Methodology, Introductory Statistics, Intermediate Statistics, Multivariate Statistics, and Alternative Methodologies.
ELIZABETH L. PEARMAN
Scope: Educational Psychology - Program Evaluation, Research Methods, Statistics, Measurement
ELIZABETH L. PEARMAN, Ph.D. has spent more than 17 years designing surveys, analyzing data using SAS and SPSS, programming SAS and SPSS, developing assessments for unique situations, research design, developing sampling frames, calculating sample size, program evaluation, qualitative design, and qualitative analysis. Along with being an independent consultant in program evaluation, she teaches graduate classes Master's and Doctoral level research methods, qualitative methods, program evaluation, statistical programming, and lifespan development at the University of Northern Colorado for the Department of Applied Statistics and Research Methods and the Department of Educational Psychology. Elizabeth has completed over 40 program evaluations for clients, made more than 40 presentations at national conferences, published articles in several different fields, and authored three books. She has served on 25 dissertation committees and has consulted with another 40+ doctoral students on design, statistics, statistical programming, conceptualization, and writing in fields diverse as: sports administration, special education, educational leadership, human rehabilitation, educational psychology, applied statistics, school psychology, music education, chemistry education, biology education, instructional technology, psychology, reading, early childhood, and others. Her formal education includes a B.M. from the University of Missouri at Kansas City, an M.A. and Ph.D. from the University of Northern Colorado in Educational Psychology specializing in research methods, measurement/assessment, program evaluation and statistics.
Additional Information >>JANE SCOTT
DR. JANE SCOTT received her Ph.D. in quantitative psychology with an emphasis on personality psychology from the University of California, Davis. After teaching statistics and research methods for several years at UC Davis and in Hawaii while providing statistics consulting on the side, she now provides full-time statistics consulting. She lives on the island of St. Croix in the Caribbean where she enjoys sun and surf in addition to statistics.
Jane can help you analyze your data and interpret the results using SAS, SPSS, or Minitab. She can help you understand, implement, and interpret statistical procedures such as t tests (single-sample t test, independent t test, dependent or paired t test), ANOVAs (one-way ANOVA, two-way ANOVA, repeated measures ANOVA, MANOVA, ANCOVA), nonparametric procedures (chi-square, Mann-Whitney U test, Kruskal-Wallis, Wilcoxon, Friedman, McNemar, Cochran, Fisher’s Exact Test) correlation, multiple regression, logistic regression, factor analysis, principal component analysis (PCA), mediation, moderation, and cox regression, among others. She can run the appropriate analyses for addressing your hypotheses, make APA-style tables or figures for presenting your results, and guide you in the appropriate presentation of your results.
Jane can also provide simple explanations or computations for such statistical concepts as variance, standard deviation, z-scores and the normal distribution, the central limit theorem, type-I and type-II errors (alpha and beta), power, effect size, R-squared or the coefficient of determination, and the Pearson Product Moment Correlation Coefficient, as well as concepts from psychometrics such as reliability and validity.
Jane received her bachelor’s degree in English from the University of California, Berkeley, so she spent her undergraduate years developing her writing and communication skills, which enable her to communicate mathematical concepts clearly. She loves to help students hone their methodology chapters, formulate clear hypotheses, and clearly articulate the appropriate analyses for testing each hypothesis. An animated teacher and public speaker, Jane can also help you develop effective Power Point presentations for classes or oral defenses.
Additional Information >>EILEEN ZURBRIGGEN
EILEEN ZURBRIGGEN has provided statistical consulting for numerous master's and Ph.D. theses, has taught doctoral level statistics courses for the past 7 years and has presented statistical workshops at national conferences.
She received a Ph.D. in Personality Psychology from the University of Michigan, and subsequently completed an advanced post-doctoral fellowship in probability, statistics, methodology, and quantitative techniques at New York University.
Her areas of advanced expertise include analysis of variance (including ANOVA, MANOVA, ANCOVA), multiple regression, logistic regression, exploratory and confirmatory factor analysis, and structural equation modeling (SEM, using software packages such as LISREL, AMOS, and EQS).
Additional Information >>
