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Weighting Survey Data II – Statistical Weighting Methods

Weighting Survey Data II – Statistical Weighting Methods

In the past, insight professionals adjusted datasets using a core set of demographics. This set included sex, age, race, ethnicity, geographic location, and education. Researchers would adjust any discrepancies occurring between the sample and the population of interest. Significant theoretical developments have increased the use of statistical weighting methods that consider various auxiliary variables for adjusting datasets…

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Complete Guide on Weighting Survey Data

Complete Guide on Weighting Survey Data

Research within the social sciences is developed, carried out, and interpreted a little differently than, let’s say, medicine. Quantifying human attributes, opinions, and behavior to measure them and infer conclusions required a shift from conventional research methodologies…

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Survey Validation and Ensuring Congruity

Survey Validation and Ensuring Congruity

Research within the social sciences is developed, carried out, and interpreted a little differently than, let’s say, medicine. Quantifying human attributes, opinions, and behavior to measure them and infer conclusions required a shift from conventional research methodologies…

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Customer Retention and Metrics You Should Track

Customer Retention and Metrics You Should Track

Research within the social sciences is developed, carried out, and interpreted a little differently than, let’s say, medicine. Quantifying human attributes, opinions, and behavior to measure them and infer conclusions required a shift from conventional research methodologies…

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10 Business Uses for Conjoint Analysis

10 Business Uses for Conjoint Analysis

Conjoint Analysis, also called Discrete Choice Modeling is a research method and statistical technique used by researchers and marketers worldwide. It is a way to examine choices made by decision-makers based on various available features, pricing, and brands…

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