Design
- Experimental Design
- Instrument Design and Development
- Including questionnaire/survey design
- Reliability and validity testing of all instruments
- Sample size determination using power analysis
- Database Construction and Management
Analysis
- Analytic Methods
- Descriptive statistics including measures of central tendency and dispersion
- TURF (Total Unduplicated Reach and Frequency) analysis
- Nonparametric tests
- t and z tests
- Correlation analysis
- Analysis of Variance (ANOVA) including post hoc comparisons to locate effects
- Multivariate Analysis of Variance (MANOVA)
- Analysis of Covariance (ANCOVA) with post hoc comparisons
- Multivariate Analysis of Covariance (MANCOVA)
- Repeated measures ANOVA, ANCOVA, MANOVA, MANCOVA
- Python & R extension functions for SPSS
- Missing data imputation methods
- Statistical Model Development
- Developing advanced predictive models, profiling models, and scoring models
- Model testing and validation
- Building simulators to test different scenarios in the marketplace
- Factor analysis, including reliability testing of factor structures
- Principal Components analysis
- Cluster analysis, including Two Step and hierarchical procedures
- Linear, multiple, partial least squares (PLS), non-linear, logistic, and multinomial logistic regression
- Tradeoff models, including Conjoint, Discrete Choice and related adaptive/hybrid designs (with simulation)
- Correspondence analysis
- Exhaustive Chi-square Automatic Interaction Detection (Exhaustive CHAID), particularly effective for market segmentation
- Bayesian modeling
- Trend analysis, Forecasting and Time series
- Demand Forecast Modeling
- Optimization, including resource, pricing and discounting
- Price sensitivity including log-log elasticity models and SUR (seemingly unrelated regressions)
- Preference/recommendation engine algorithm creation, development and deployment
- Quantifying social media impact on purchase behavior
- Creating machine learning algorithms to maximize predictive accuracy
- Experimental Design
- Marketing Mix Modeling (MMM)
- Reporting
- Complete reports including sophisticated graphics, recommendations, and an executive summary
- Customized, interactive, reporting tools to efficiently explore your own data to avoid the drudgery of voluminous PowerPoint reports
- Dashboards & simulators (usually in Excel w/a VBA interface)
Implementation
- Extensive experience interfacing with ad agencies, sales and marketing teams, and actual sales personnel to apply and implement research findings.
Training
- Instruction is available, on a group or individual basis, for a wide range of statistical procedures. AAS has extensive experience with most IBM SPSS modules.