Rigorous quantitative research methods delivering statistically robust data across Caribbean and Latin American markets. From survey design to advanced analytics.
Choose the right methodology based on your research objectives, target audience, and budget.
Web-based questionnaires distributed via email, panel, or social media.
Computer-Assisted Telephone Interviewing with trained interviewers.
In-person interviews using tablets or mobile devices.
SMS and app-based surveys optimized for smartphone completion.
Rigorous quality controls ensure your data is accurate, reliable, and actionable.
Hidden questions that verify respondent engagement
Remove responses completed too quickly to be genuine
Identify respondents selecting same answer repeatedly
Review text responses for relevance and coherence
Detect duplicate or suspicious IP addresses
Re-contact subset of respondents to verify answers
From basic frequencies to advanced multivariate analysis, we extract meaningful insights.
Frequencies, means, medians, standard deviations
Use: Understanding what the data shows
Compare results across segments or groups
Use: Finding differences between demographics
T-tests, ANOVA, chi-square tests
Use: Validating significance of differences
Identify drivers and predictors
Use: Understanding what influences outcomes
Reduce variables to underlying dimensions
Use: Simplifying complex data sets
Group respondents by similar characteristics
Use: Market segmentation
Caribbean Panel Members
Trained Interviewers
Languages Supported
Markets Covered
Quantitative research methods are systematic approaches to collecting and analyzing numerical data. They include surveys, experiments, structured observations, and secondary data analysis. These methods enable statistical analysis, hypothesis testing, and generalization of findings to larger populations.
The main quantitative data collection methods include: online surveys, telephone interviews (CATI), face-to-face interviews (CAPI), mail surveys, mobile surveys, and structured observation. Each method has advantages depending on your target audience, budget, and research objectives.
We ensure data quality through: rigorous questionnaire design and testing, interviewer training and monitoring, attention checks and trap questions, speedster detection, straightlining analysis, IP verification, back-checking of interviews, and statistical validation of results.
Sample size depends on: desired confidence level (typically 95%), margin of error (typically +/-5%), population size, and expected variation in responses. For most consumer studies, 300-500 respondents per segment provides statistically reliable results. We calculate optimal sample sizes for each project.
Our team of research experts will design and execute a quantitative study tailored to your objectives.
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