Seminars & Workshops

We provide educational seminars and workshops to professionals needing a knowledge of statistics and research design. We tailor our seminars to suit the needs of your business corporation or legal firm. For a sample of such seminars, see the Business Development Academy website, where we are scheduled to teach seminars on business statistics for decision makers and statistics for lawyers.

If your business or legal firm requires on-site seminars in quantitative methodology, statistics, measurement, decision modeling, or a straightforward course on the essentials of understanding the basics of statistical arguments, contact: Business Development Academy 116 Village Blvd., Ste. 309, Princeton, NJ 08540, tel. 609-919-1895

Seminars Currently Offered

Understanding Statistics for Lawyers
- Daniel J. Denis, Ph.D. 

Business Statistics for Decision Makers: Quantifying Risk and Estimating Returns
- Daniel J. Denis, Ph.D. 

Statistical & Methodological Consultation

We provide statistical consultation at every phase of your project, from hypotheses to the dissemination and publication of research findings. We are available for both short-term and long-term contracts. We provide you with the following: 

• assistance and advice in brainstorming research possibilities, advising whether your research hypotheses are amenable to statistical analyses 
• statistical analyses of your data, summarized in reports detailing and explaining each part of the software output
• assistance in presenting and disseminating your research findings at conferences and business settings
• general statistical consultation and questions on the following topics: 

Probability, independence, visual display of quantitative information and graphs, binomial distributions, central tendency, variability, sampling distributions, estimation, normal distribution, independent samples t-tests, pairwise t-tests, poisson distribution and poisson regression, null hypothesis-testing, significance-testing, statistical inference, experimental design and planning, statistical power and sample size estimation, general linear models, generalized linear models (e.g., logistic regression), analysis of variance (ANOVA), factorial analysis of variance, analysis of covariance (ANCOVA), fixed effects ANOVA, Bonferroni corrections, significance levels, effect size, Cohen's d, random effects ANOVA, mixed models ANOVA, repeated measures analysis of variance, multiple comparisons, linear contrasts, correlation, biserial correlation, point-biserial correlation, simple linear least-squares regression, non-linear regression, multiple regression, Hotelling's T, matrix algebra for multivariate statistics, multivariate analysis of variance (MANOVA), categorical data analysis, chi-square, discriminant function analysis, binary logistic regression, principal components analysis (PCA), factor analysis, exploratory factor analysis, confirmatory factor analysis, structural equation modeling, decision analysis, general Bayesian methodology, psychometric reliability, validity, standardization, item analysis, data base management, meta-analysis, survey sampling, survey analysis, STATA, SPSS, SAS, AMOS.

Some Current Consulting Projects

Evaluation of the PARK Project, SAMHSA, Yale University School of Medicine, Joy S. Kaufman, Ph.D., Associate Professor, Director of Program and Service System Evaluation. We provide statistical consulting and statistical analyses of PARK Project outcome measures. Models used include longitudinal multilevel, HLM.

Evaluation of PEP, SAMHSA, Yale University School of Medicine, Joy S. Kaufman, Ph.D., Associate Professor, Director of Program and Service System Evaluation. We provide statistical consulting on PEP. Models used include longitudinal multilevel, HLM.

National Institute on Disability and Rehabilitation Research, Office of Special Education and Rehabilitative Services, U.S. Department of Education, Grant H133B030501, Dr. Tom Seekins, Director of Rural Institute, University of Montana, Missoula, U.S.A. We provide statistical support for the sampling of rural population for the development of disability accessibility scale. 

Some Recent Consulting Projects

United States District Court / Kirkland & Ellis, LLP, International - We provided analyses of a survey used to measure public opinion regarding a legal case, and provided expert testimony on the quality and psychometric/statistical properties of the instrument.

Neurorehabilitation Outcome Measurement System - We provided reliability and validation analyses for the consulting firm Rehabilitation Research, Evaluation and Education Services (RREES). We also performed exploratory cluster analyses to identify patient profile types. These analyses were used in the development and implementation of ROMS, which is software used to track the rehabilitation of musculoskeletal injuries, traumatic brain injury, chronic pain and associated psychological conditions. The project was directed primarily by Dr. J. Douglas Salmon, Jr.

Rural Transportation Study - Rural Institute at the University of Montana - We provided statistical consulting and analysis on the availability of transportation for the disabled population in rural locations in the state of Montana. Results have been published in Seekins, T., Bridges, S., Santa, A., Denis, D., & Hartsell, A. (2007). Faith based organizations: A potential partner in rural transportation. Journal of Public Transportation. The project was headed by Dr. Tom Seekins.

Accessibility for the Disabled - This is an ongoing study which seeks to measure accessibility for disabled populations across the state of Montana. Currently, we have completed a pilot study using an accessibility measure for the city of Hamilton, Montana. Our next step is to use this pilot data to determine an appropriate sampling method for the entire state. The project is headed by Dr. Tom Seekins. 

Food on Film - R21 submitted to NIH - We provided design support and consulting on a grant proposal submitted to the National Institute of Health. If funded, the project is due to commence in early 2008.

Confirmatory Factor Analysis of IQ Measures - This project was just recently launched (Nov. 2007), and is designed to assess the factor structure of the RIAS assessment tool. The project will consist of performing confirmatory factor analyses on IQ data, as well as multiple regression analyses in order to assess incremental validity for predicting a measure of child achievement. Structural Equation Models (SEM) of IQ are also being tested. The project is headed by school psychologist Dr. Jason Nelson, Ph.D, NCSP of the University of Montana.