We design and implement both standardized and tailored methodological approaches to suit the needs of general populations as well as specific target groups, including minorities, migrants, refugees, LGBTQIA+ communities, and diasporic populations.
With the global cost of data collection increasing annually, our methodologies are continuously updated to integrate advances in technology. We specialize in transitioning data collection across modalities (e.g., face-to-face to online) while ensuring longitudinal trend integrity. Our global infrastructure enables high-quality data collection services worldwide. These services can be offered as stand-alone operations or as components of broader research engagements that include data analysis and comprehensive reporting.
Our team of quantitative researchers provides expert guidance in formulating hypotheses and aligning them with appropriate quantitative methodologies. We support clients through all stages of the research process—from identifying and collecting suitable data to performing complex analyses on existing datasets. Our statistical capabilities span from basic inferential tests (e.g., t-tests) to advanced procedures, including Bayesian inference.
Our Services Include:
Data Collection
Contextual understanding of local cultural and political environments
Questionnaire development tailored to target populations
Double translation of instruments to ensure linguistic and cultural equivalence
Development of sampling frames
Conducting interviews in local languages
Rigorous training of enumerators and supervisors
Creation of detailed training manuals
CImplementation of quality assurance protocols
Construction of statistical weights
Vetting and preprocessing of raw data
Reliability and validity assessments
Comparative evaluations of various data collection modalities (e.g., in-person, telephone, online)
Cost-sensitive strategies for data collection
Data Cleaning and Psychometric Analysis
Reliability and validity diagnostics
Psychometric evaluation, including both Classical Test Theory and Item Response Theory
Exploratory and Confirmatory Factor Analysis
Detection and resolution of data quality issues
Survey and Test Design
Designing custom surveys and assessment tools based on client needs
Developing theoretical constructs in disciplines such as sociology, education, psychology, and workforce development
Item generation and validation with alignment to constructs
Sampling frame design and stratification
Construction and application of sampling weights
Pilot testing of instruments
Routine administration of surveys or assessments
Development of scoring protocols and statistical analysis procedures
Statistical Analysis and Predictive Modeling
Univariate and multivariate group comparisons
Analysis of Variance (ANOVA), Analysis of Covariance (ANCOVA), and Multivariate ANOVA (MANOVA)
Predictive analytics and model development
Bayesian inference and other advanced modeling techniques
Presentation and interpretation of results for practical application and stakeholder communication development