https://handbook.gradientmetrics.com/products/maxdiff-experiments/ Recent content in MaxDiff Experiments on Handbook Hugo -- gohugo.io https://handbook.gradientmetrics.com/products/maxdiff-experiments/what-is-maxdiff/ Mon, 01 Jan 0001 00:00:00 +0000 https://handbook.gradientmetrics.com/products/maxdiff-experiments/what-is-maxdiff/ Introduction When to use MaxDiff? Designing MaxDiff Experiments Rules of Thumb Design with large numbers of alternatives Prohibitions Anchored MaxDiff Introduction Our customers are constantly making choices, some conscious, but most unconscious. Regular surveys questions with traditional question scales are unable to get to the core of why a consumer makes his or her decision. Most of these scales don’t simulate real-life conditions, which always include some type of real trade-offs. https://handbook.gradientmetrics.com/products/maxdiff-experiments/analyzing-maxdiff/ Mon, 01 Jan 0001 00:00:00 +0000 https://handbook.gradientmetrics.com/products/maxdiff-experiments/analyzing-maxdiff/ Introduction Analyzing MaxDiffs with g6tr.md Using g6tr.md Reading MaxDiff data Asserting the data Tidying the data Modeling the data Extracting model statistics Alternative Analyses Count Analysis Hierarchical Bayes Latent Class Analysis Standard Logit Models Introduction A general guide on how MaxDiff works A practical example in R An in-depth case study A guide to MaxDiff in R with theMaxDiffpackage Analyzing MaxDiffs with g6tr. https://handbook.gradientmetrics.com/products/maxdiff-experiments/synthesizing-maxdiff/ Mon, 01 Jan 0001 00:00:00 +0000 https://handbook.gradientmetrics.com/products/maxdiff-experiments/synthesizing-maxdiff/ Summary Metrics Output Table Output Plot Summary Metrics After the analysis determines the utility coefficients, outputs and deliverables can be prepared to showcase the findings of the study. The utilities are the building blocks of all of the summary metrics. The core summary metrics that typically accompany MaxDiff analysis are detailed below: Preference Share: The preference share is the measurement of the probability that an item would be chosen over another if a respondent was asked to select the best from all options.