The research scientists at Deloosh are also leading academics in
consumer behaviour. They can handle the industry's most difficult projects, from conjoint studies through to experimental and mixed-mode methodologies.
Research Methods
Deloosh staff are capable of performing
advanced statistical analysis to maximise the information in the raw data.
- Experimental/group differences analysis using M/ANOVA or t-tests.
- Causal predictions
using regression (including advanced LISREL analysis and mediation tests)
- Discriminant
Analysis for identifying and segmenting unique groups of consumers
- Cluster Analysis
for categorising respondents into groups
- Factor Analysis for categorising respondents
into groups based on personality traits
- Conjoint Analysis and simulations for determining
optimal mix of product attributes and levels.
In addition to our technologically advanced research design and
data collection service, Deloosh offer
advanced data analysis. Deloosh’s team of research scientists have advanced PhD’s in Marketing, specialising in a wide range of multivariate statistical data analysis techniques, including conjoint analysis, structural equation modelling, and factor analysis. After data is processed, coded and screened, raw data may be delivered in a variety of formats including CSV, Excel, or SPSS), or in an executive summary report of cross tabs, pie charts, and bar graphs emphasising the most relevant information.