Traditional full-profile conjoint is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
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Conjoint and discrete-choice techniques
Experimental choice methods that estimate trade-offs, utilities, attribute importance and likely preference under alternative offers.
Methods family
Experimental choice methods that estimate trade-offs, utilities, attribute importance and likely preference under alternative offers.
Use methods only after defining the estimand, data structure, assumptions, validation plan and decision consequence.
Conjoint analysis is a family of experimental methods that decomposes choices or evaluations into part-worth utilities for product or service attributes. It is used to estimate trade-offs, attribute importance, willingness to pay and preference under alternative configurations.
Read the full entry →Choice-based conjoint presents repeated sets of alternative profiles and asks respondents to choose. The resulting choice model estimates attribute utilities and supports market simulations under stated assumptions.
Read the full entry →Choice-based conjoint presents repeated sets of alternative profiles and asks respondents to choose. The resulting choice model estimates attribute utilities and supports market simulations under stated assumptions.
Read the full entry →Menu-based conjoint is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →Partial-profile conjoint is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →Paired conjoint is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →Ranking-based conjoint is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →Rating-based conjoint is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Best-worst conjoint is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Hybrid conjoint is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Hierarchical Bayes conjoint estimates respondent-level utilities by partially pooling individual information through a population distribution. It improves individual estimates but remains dependent on design quality and model assumptions.
Latent-class conjoint is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Aggregate conjoint is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Individual-level conjoint is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Discrete-choice experiments is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Conditional logit models is a method within conjoint and discrete-choice techniques. Experimental choice methods that estimate trade-offs, utilities, attribute importance and likely preference under alternative offers. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Multinomial logit models is a method within conjoint and discrete-choice techniques. Experimental choice methods that estimate trade-offs, utilities, attribute importance and likely preference under alternative offers. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Mixed-logit models is a method within conjoint and discrete-choice techniques. Experimental choice methods that estimate trade-offs, utilities, attribute importance and likely preference under alternative offers. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Random-parameters logit is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Nested-logit models is a method within conjoint and discrete-choice techniques. Experimental choice methods that estimate trade-offs, utilities, attribute importance and likely preference under alternative offers. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Hierarchical Bayes choice modelling is a method within conjoint and discrete-choice techniques. Experimental choice methods that estimate trade-offs, utilities, attribute importance and likely preference under alternative offers. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Share-of-preference simulation is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
First-choice simulation is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Randomised first-choice simulation is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Market-share simulation is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Willingness-to-pay estimation is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Attribute-importance estimation is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Utility estimation is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Interaction effects in conjoint is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Prohibitions in conjoint design is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Alternative-specific designs is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Experimental-design efficiency is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
D-efficient designs is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Balanced-overlap designs is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Conjoint sample-size calculation is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Conjoint holdout tasks is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Conjoint validity is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Conjoint-based pricing is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Conjoint-based portfolio optimisation is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Browse linked method entries
Traditional full-profile conjoint
Traditional full-profile conjoint is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodAdaptive conjoint analysis
Conjoint analysis is a family of experimental methods that decomposes choices or evaluations into part-worth utilities for product or service attributes. It is used to estimate trade-offs, attribute importance, willingness to pay and preference under alternative configurations.
Open methodChoice-based conjoint
Choice-based conjoint presents repeated sets of alternative profiles and asks respondents to choose. The resulting choice model estimates attribute utilities and supports market simulations under stated assumptions.
Open methodAdaptive choice-based conjoint
Choice-based conjoint presents repeated sets of alternative profiles and asks respondents to choose. The resulting choice model estimates attribute utilities and supports market simulations under stated assumptions.
Open methodMenu-based conjoint
Menu-based conjoint is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodPartial-profile conjoint
Partial-profile conjoint is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodPaired conjoint
Paired conjoint is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodRanking-based conjoint
Ranking-based conjoint is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodRating-based conjoint
Rating-based conjoint is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodBest-worst conjoint
Best-worst conjoint is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodHybrid conjoint
Hybrid conjoint is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodHierarchical Bayes conjoint
Hierarchical Bayes conjoint estimates respondent-level utilities by partially pooling individual information through a population distribution. It improves individual estimates but remains dependent on design quality and model assumptions.
Open methodLatent-class conjoint
Latent-class conjoint is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodAggregate conjoint
Aggregate conjoint is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodIndividual-level conjoint
Individual-level conjoint is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodDiscrete-choice experiments
Discrete-choice experiments is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodConditional logit models
Conditional logit models is a method within conjoint and discrete-choice techniques. Experimental choice methods that estimate trade-offs, utilities, attribute importance and likely preference under alternative offers. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Open methodMultinomial logit models
Multinomial logit models is a method within conjoint and discrete-choice techniques. Experimental choice methods that estimate trade-offs, utilities, attribute importance and likely preference under alternative offers. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Open methodMixed-logit models
Mixed-logit models is a method within conjoint and discrete-choice techniques. Experimental choice methods that estimate trade-offs, utilities, attribute importance and likely preference under alternative offers. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Open methodRandom-parameters logit
Random-parameters logit is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodNested-logit models
Nested-logit models is a method within conjoint and discrete-choice techniques. Experimental choice methods that estimate trade-offs, utilities, attribute importance and likely preference under alternative offers. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Open methodHierarchical Bayes choice modelling
Hierarchical Bayes choice modelling is a method within conjoint and discrete-choice techniques. Experimental choice methods that estimate trade-offs, utilities, attribute importance and likely preference under alternative offers. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Open methodShare-of-preference simulation
Share-of-preference simulation is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodFirst-choice simulation
First-choice simulation is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodRandomised first-choice simulation
Randomised first-choice simulation is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodMarket-share simulation
Market-share simulation is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodWillingness-to-pay estimation
Willingness-to-pay estimation is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodAttribute-importance estimation
Attribute-importance estimation is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodUtility estimation
Utility estimation is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodInteraction effects in conjoint
Interaction effects in conjoint is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodProhibitions in conjoint design
Prohibitions in conjoint design is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodAlternative-specific designs
Alternative-specific designs is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodExperimental-design efficiency
Experimental-design efficiency is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodD-efficient designs
D-efficient designs is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodBalanced-overlap designs
Balanced-overlap designs is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodConjoint sample-size calculation
Conjoint sample-size calculation is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodConjoint holdout tasks
Conjoint holdout tasks is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodConjoint validity
Conjoint validity is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodConjoint-based pricing
Conjoint-based pricing is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodConjoint-based portfolio optimisation
Conjoint-based portfolio optimisation is a statistical or analytical concept within conjoint and discrete-choice techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
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