Analysis methods
We use those data analysis methods that are most appropriate in order to reach the defined project objectives:
- MaxDiff / Best Worst Scaling (BWS) > Further information
- Commitment Model and Share of Wallet Predictor > Further information
- Partial Least Squares (PLS) > Further information
- Conjoint analyses (ACBC/ACA/CBC)
- Price Sensitivity Meter (PSM) / Van Westendorp > Further information
- Gabor Granger Method > Further information
In addition, we apply the following statistical and data mining techniques, if required to fulfill the project objectives:
- correlation analyses
- Jaccard analyses
- significance testing
- regression analyses
- discriminant analyses
- factor analyses
- cluster analyses
- multidimensional scaling
- decision tree analyses