Quantitative research and data collection services

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

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