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Interpreting Conjoint Analysis Data (2009)

Covers the essentials for interpreting conjoint analysis data, including part worths, importances, shares of preference and "counting" analysis. The framework for interpreting results is developed from formal definitions of scaled data: Nominal, Ordinal, Interval, and Ratio. Common errors in interpreting conjoint analysis are highlighted.

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Lighthouse Studio

Lighthouse Studio is our flagship software for producing and analyzing online and offline surveys. It contains modules for general interviewing, choice-based conjoint, adaptive choice-based conjoint, adaptive choice analysis, choice-value analysis, and maxdiff exercises.

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Getting Started with Conjoint Analysis

New to conjoint analysis? Pick up a copy of Bryan Orme's best-selling book today!

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