Methods
We will suggest a methodological approach that optimally matches your research objectives. We are experienced in a wide variety of research methods, designs, procedures, and their combinations.
The range of methods that we offer encompasses, but is not limited to:
Types of studies
- Laboratory and field studies
- Observational, correlational, and nonreactive research
- Experimental research
- Quantitative and qualitative research
- One-country and multiple-country studies
- Small- and large-scale studies (N >> 1,000)
- Cross-sectional, repeated cross-sectional, and longitudinal studies
- Evaluation research
- Concept and product tests
- Usage and attitude studies
- Naturalistic approaches (ensuring ecological validity and representativeness of data)
- Primary and secondary research
Methods for sampling participants
- Quota sampling
- Volunteer and opportunity sampling
- Random sampling
- Stratified and cluster sampling
Methods for collecting and recording data
- Face-to-face interviews (paper-and-pencil; CAPI)
- Self-administered questionnaires and postal interviews
- Telephone (CATI) and online (CAWI) interviews
- Conjoint Measurements (e.g., ACA, CBC)
- Discrete Choice Experiments
- Questionnaires, self reports, and observation records
- Diaries
- 24-hour recalls, diet histories, food-frequencies
- Signal-, interval-, and event-contingent ambulatory assessments (e.g., experience-sampling method)
- Psychometric tests
- Unobtrusive methods (e.g., physical traces, archival data)
Selection of methods used for data analysis
- Descriptive data analysis
- Imputation of missing values
- Inferential statistics
- Uni- and bivariate analyses
- Multivariate analyses
- Parametric and nonparametric data analyses
- Coding and analysis of open-ended questions
- Contingency analysis of crosstabulation tables
- Classification trees
- Correlation analysis
- Exploratory and confirmatory factor analysis
- Regression analysis
- Structural equation modelling (Path analysis, SEM)
- Analysis of variance (ANOVA)
- Discriminant analysis
- Conjoint analysis (including market simulation and segmentation)
- Correspondence analysis; multidimensional scaling
- Cluster analysis
- Price sensitivity measurement (PSM)
- Transformation and weighting of raw scores
- Item and scale analyses, determination of psychometric test properties (e.g., reliability, validity)
- Optimal scaling
- Reanalyses of existing data
