Methods and Tools
Quantify utilizes a spectrum of validated social science methods, tailored to each research question. Methods and tools employed by Quantify are categorized into the following headings.
01 Quantitative Methods
These form the backbone of our empirical research. They are based on:
a. Structured Surveys and Public Opinion Polling
Designed to measure attitudes, perceptions, and behaviors. The sampling strategies include stratified, cluster, and multi-stage random sampling to ensure representativeness.
b. Statistical Modeling and Inferential Analysis
Through regression analysis, multilevel modeling, and time-series analysis to uncover relationships and causal patterns. These methods are used in studies of electoral behavior, social trends, and policy impact evaluation.
c. Data Analytics and Computational Techniques
To analyze large datasets from official data sources (e.g., national surveys, administrative records).
02 Qualitative and Mixed Methods
This method is employed to interpret nuanced social and cultural dynamics. It includes:
a. In-Depth Interviews & Focus Groups
Conducted with key informants, community stakeholders, and opinion leaders to complement survey findings with human narratives.
b. Case Studies
Method used for rigorous comparative case analysis for policy learning.
c. Content and Discourse Analysis
Systematic analysis of media content, political speeches, legislation, and social media discourse. Employed in studies of digital politics and polarization.
d. Ethnographic Observation
Context-rich fieldwork to support understanding of cultural practices, social cohesion mechanisms, and community engagement.
03. Research Tools
Integration of modern platforms to collect, manage, and analyze data efficiently:
Survey Platforms
Qualtrics, SurveyCTO, Google Forms. Tools are chosen based on field conditions and population access.
Statistical Software
R, Stata, SPSS, Python for data processing, modeling, and visualization.
Geospatial Analysis
Employing QGIS and ArcGIS for mapping socio-economic and environmental data.
Text and Network Analysis
NVivo, MAXQDA for qualitative analysis; Gephi and Python libraries for network analysis.
04. Sampling and Representativeness
- National & Subnational Surveys: Stratification by region, gender, age, and socio-economic indicators.
- Panel & Longitudinal Designs: Used for trend analysis over time.
- Quota Sampling: Applied where probability sampling is logistically infeasible but statistical control is required.
- Note: All sampling strategies are accompanied by margin of error calculations and confidence interval reporting.
05. Ethical Standards
- Informed ConsentExplanation of purpose, voluntary participation, and data protection.
- Anonymity and ConfidentialityIdentities are protected and personal data is securely stored.
- Institutional Review ComplianceApplied on all major studies for ethical clearance consistent with international standards.
06. Reporting, Visualization and Dissemination
Prioritizing clear, accessible evidence communication across multiple platforms: