DR. BRIONES, a graduate from Columbia University and former fellow at the Harvard Kennedy School of Government, taught Applied Regression Analysis and Research Methods to graduate students. In the last eight years, Victoria has worked as a dissertation and statistics consultant, helping graduate students in psychology, education, nursing, biology, and business formulate/hone their study hypotheses, arrive at better operational definitions for their study variables, improve procedures to increase the internal and the external validity of their studies, test their study hypotheses, analyze their resulting data, and understand their results.
In addition to having a strong grasp of research methods, Victoria's primary areas of expertise are in testing moderation and mediation hypotheses (using SPSS) and in testing path, measurement (via a confirmatory factor analysis or CFA), and structural models using the AMOS, LISREL, EQS, and MPlus programs. She is also able to explain relatively complex procedures and results to clients who have minimal knowledge of research methods and statistics.
Victoria is familiar with non-parametric procedures such as Mann-Whitney, Kruskal-Wallis, and chi-square tests. But her strengths lie in conducting basic (e.g., Pearson correlations, t-tests, and ANOVAs) and complex parametric procedures such as exploratory factor analysis (EFA), regression (i.e., linear, logistic, and multinomial), mixed-ANOVA, MANOVA, and discriminant analysis. Moreover, Victoria provides her clients with concise and coherent summaries of the results of these procedures.
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).
Linda Deacon has served as an independent statistical consultant since 1985. She has coordinated the data management and statistical analysis of state and federally funded longitudinal and multi-center research. She has co-authored several articles published in the fields of medicine and psychology and has assisted in the editing of statistical textbooks and documentation for statistical software. She has designed and assisted in the development of survey instruments currently in use at various medical centers, universities and county regional centers. She regularly advises doctoral candidates on the formulation, statistical analysis and interpretation of research hypotheses.
Survey design, formulating hypotheses, content organization, data analysis, results analysis, graphs and tables, PowerPoint presentations.
"Without a doubt Linda Deacon is an incredible statistician! Over the past 10 years Linda has assisted me in countless research projects. I would not be where I am in my career today without her expertise. Not only is she the warmest human being around, she is brilliant and easy to work with."
Susan Regas, PhD
Distinguished Professor of Clinical Psychology
Dr. Jeff Laurence has over 30 years of combined experience in academia and in the private research and development business sector. In addition to a bachelor's degree in Biology and Chemistry, he obtained his MS in Toxicology from the University of Kentucky and his Ph.D. in Comparative Biochemistry from the University of California, Berkeley. Throughout his career, he has mentored many students and employees. He has a particularly effective style of teaching and enjoys working with graduate students at all phases of their studies from project inception and design to obtaining their degree.
He offers comprehensive research guidance with a keen sense of content organization and assistance in the clear and focused presentation of data and study results. He brings a diverse range of writing skills to his students and clients as well, including writing and proofreading assistance with their theses, dissertations and preparation of research papers for publication in peer-reviewed journals and other scientific texts.
Thesis and Dissertation helpHe has served as an editorial reviewer for a number of scientific journals including Pesticide Science, Biochemical Pharmacology, Toxicology and Applied Pharmacology and Life Sciences and therefore has a thorough understanding of what it takes to prepare an acceptable manuscript for publication. He can also help you correspond with reviewers in the publication process.
RICK OAKS studied psychology and sociology at Harvard, received his Ph.D. in clinical psychology from Michigan, then did two post-doctoral fellowships at Yale. Since then he has taught many courses on research methods at both the undergraduate level and in a doctoral program in higher education leadership.
He is an expert in mixed methods research; that is, the sort that combines interviewing and questionnaires.
Although Rick teaches statistics (among other things), his first love is interview research. He has published three books and many articles in the field. These include studies on the meaning of work in the lives of mid-career businessmen, the family tensions that sometimes arise when first-generation college students become more educated than their parents, and the way that students can sometimes discover who they really are by temporarily dropping out of college.
RICHARD POLLARD (Ph.D. Harvard University) has held professorships at Northeastern University, University of Arizona, and Lewis & Clark College. He has served as chair or reader on numerous doctoral dissertations in management, organizational development, leadership, nursing, homeland security, and social/environmental sustainability.
He designed the doctoral programs at Colorado Technical University and served as the founding Chancellor of CTU's Institute for Advanced Studies, where he oversaw all dissertation chairs and readers. He has taught statistics and research methods at all levels from undergraduate through doctoral.
His primary areas of expertise include organizational behavior, organization development, small groups and teams, leadership, psychology, sociology, research methods and statistics.