Quantitative Research
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Definition:
Weighting is a quantitative research technique that assigns numerical multipliers to participant responses, adjusting the influence of each data point so the overall sample mirrors a defined target population on key demographic or behavioral dimensions. When a sample skews younger, more urban, or more highly educated than the population it is meant to represent, weighting corrects that imbalance before analysis begins. Common weighting variables include age, gender, region, income, and category usage. In enterprise research, weighting is essential for brand tracking, segmentation studies, and any quantitative work where sample composition affects the validity of reported figures and the decisions those figures inform.
How Conveo Does It
Conveo supports quantitative and mixed-method studies where weighting is applied to ensure findings reflect your actual target population, not just whoever completed the session. Studies launch in under 30 minutes, with recruitment running through Conveo's integrated panel network or your own participant lists, and results arrive in days rather than weeks. Every response traces back to a real participant, with no synthetic respondents or AI-generated avatars, so the data you weight is grounded in genuine human input at enterprise scale.
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Frequently asked questions.
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