Table 2.

ESTIMATE checklist for DCEs

ESTIMATE	Recommendation
Estimates	Describe the choice of parameter estimates resulting from the model appropriately and completely, including:  Whether each variable corresponds to an effects-coded level, a dummy-coded level, or a continuous change in levels  Whether each variable corresponds to a main effect or interaction effect  Whether continuous variables are linear or have an alternative functional form
Stochastic	Describe the stochastic properties of the analysis, including:  The statistical distributions of parameter estimates  The distribution of parameter estimates across the sample (preference heterogeneity)  The variance of the estimation function, including systematic differences in variance across observations (scale heterogeneity)
Trade-offs	Describe the trade-offs that can be inferred from the model, including:  The magnitude and direction of the attribute-level coefficients  The relative importance of each attribute over the range of levels included in the experiment  The rate at which respondents are willing to trade off among the attributes (marginal rate of substitution)
Interpretation	Provide interpretation of the results taking into account the properties of the statistical model, including:  Conclusions that can be drawn directly from the results  Applicability of the sample, including subgroups or segments, to the population of interest  Limitations of the results
Method	Describe the reasons for selecting the statistical analysis method used in the analysis, including:  Why the method is appropriate for analyzing the data generated by the experiment  Why the method is appropriate for addressing the underlying research question  Why the method was selected over alternative methods
Assumptions	Describe the assumptions of the model and the implications of the assumptions for interpreting the results, including:  Assumptions about the error distribution  Assumptions about the independence of observations  Assumptions about the functional form of the value function
Transparent	Describe the study in a sufficiently transparent way to warrant replication, including descriptions of:  The data setup, including handling missing data  The estimation function, including the value function and the statistical analysis method  The software used for estimation
Evaluation	Provide an evaluation of the appropriateness of the statistical analysis method to answering the research question, including:  The goodness of fit of the model  Sensitivity analysis of the model specification  Consistency of results estimated using different method