Using Ngene for advanced DCE design
Using Ngene for advanced DCE design NGENE is required for advanced DCE designs - Bayesian priors, complex constraints, generic-specific parameters, and designs SurveyEngine's built-in generator...
Knowledge-Base
D-efficiency - what makes a good experimental design?
What makes a good experimental design? D-efficiency measures how precisely a design estimates preference parameters. Most researchers use it without understanding what drives it. What...
Blocking and versions in DCE experimental designs
Blocking and versions in DCE experimental designs A full D-efficient design may require 20 or more choice sets - too many for any single respondent....
Labelled vs unlabelled designs in health DCEs
Labelled vs unlabelled designs in health DCEs Labelled and unlabelled DCEs measure different things. The choice between them has direct consequences for what the estimates...
Dominant alternative design in health preference DCEs
Dominant alternative design in health preference DCEs A dominant alternative is one that is strictly better on every attribute. Including one by accident destroys the...
Adding consistency checks to a patient preference DCE
Adding consistency checks to a patient preference DCE Consistency checks detect respondents who are not reading the choice sets. They are a standard data quality...
Choosing the payment vehicle in environmental DCEs
Choosing the payment vehicle in environmental DCEs The payment vehicle determines what respondents think they are actually agreeing to pay. It affects WTP estimates as...
Opt-out design in environmental valuation choice experiments
Opt-out design in environmental valuation choice experiments The opt-out alternative is contested in environmental DCEs. Excluding it biases WTP upward; including it requires careful handling...
RP/SP consistency checks in transport DCE studies
RP/SP consistency checks in transport DCE studies In combined RP/SP transport studies, inconsistencies between revealed and stated preference data reveal respondents who are not engaging...
Diurnal activity checks for transport SP survey fraud detection
Diurnal activity checks for transport SP survey fraud detection When do genuine transport survey respondents complete surveys? Not at 3am. Unusual completion timing is one...
Detecting speeders and straightliners in DCE data
Detecting straightliners and speeders in Survey data Straightliners and Speeder are a common forms of inattentive responding research. Detecting them early prevents contaminated data from...
Incidence rate monitoring in DCE fieldwork
Incidence rate monitoring in DCE fieldwork Incidence rate should be stable throughout fieldwork. A rising IR is the clearest early warning sign of organised panel...
Fraud detection toolkit
Fraud detection toolkit This page collects together the various insights used in fraud detection at SurveyEngine and follows our well received November webinar.“Incompetents, Accomplices, or...
Inattentive respondents in health preference DCE studies
Inattentive respondents in health preference DCE studies Inattentive patient respondents bias WTP estimates in ways that are invisible to standard model fit statistics - and...
Adverse event monitoring in health preference surveys
Adverse event monitoring in health preference surveys In studies conducted in the context of a drug development programme, adverse events disclosed by patients during the...
Scope insensitivity as a data quality indicator in environmental DCEs
Scope insensitivity as a data quality indicator in environmental DCEs Scope insensitivity is not just a validity threat - it is a data quality signal...
Detecting and handling protest responses in environmental DCEs
Detecting and handling protest responses in environmental DCEs Protest responses in environmental DCEs are not data quality failures - they are genuine expressions of objection...
What is a discrete choice experiment?
What is a discrete choice experiment? A DCE reveals how people make trade-offs and how much they value each attribute of a product, service, or...
Stakeholder sampling in environmental preference studies
Stakeholder sampling in environmental preference studies Environmental policies often affect specific stakeholder groups - farmers, fishers, land managers, local communities - whose preferences may differ...