ISPOR Conjoint Analysis Good Research Practices Checklist
A checklist to help researchers and reviewers properly report and assess conjoint analysis studies in health research, ensuring transparency and quality.
At a glance
Use when
Evaluating or reporting a conjoint analysis study in health research, preparing a manuscript, or conducting peer review.
Avoid when
Using for non-conjoint methods or when assessing clinical outcomes without preference data.
Inputs
Design and results of a conjoint analysis study in health research
Outputs
Assessment of reporting quality and methodological rigor of a conjoint analysis study
How it works
Developed by the ISPOR Good Research Practices for Conjoint Analysis Task Force, this checklist provides standardized criteria for reporting and evaluating conjoint analysis applications in health research, covering study design, methodology, analysis, and interpretation.
- HTA domains
- Patient and Social Aspects
- Categories
- Reporting StandardsTransparency
- Assumptions
- The checklist assumes that adherence to its items improves the validity, transparency, and reproducibility of conjoint analysis studies.
- Strengths
- Developed by an expert task force, peer-reviewed, promotes standardization and transparency in reporting, widely recognized in health research.
- Limitations
- May not cover all context-specific nuances of novel conjoint methodologies; focused on reporting rather than methodological innovation.
- Also known as
- ISPOR Conjoint Analysis Checklist
Questions this answers
- › Did the study clearly define the attributes and levels included in the conjoint analysis?
- › Was the experimental design appropriate and clearly described?
- › Were the methods for data collection and analysis adequately reported?
- › Were the results interpreted in the context of study limitations?
- › Is the study transparent and reproducible based on the reported details?
- › Were potential biases addressed and minimized?
References & sources
Similar by meaning
- ISPOR-AMCP-NPC Questionnaire for Indirect Treatment Comparisons/Network Meta-Analysis
- ISPOR Prospective Observational Studies to Assess Comparative Effectiveness Good Research Practices Task Force Report
- ISPOR Good Research Practices for Retrospective Database Analysis Checklist (Part I)
- ISPOR Quantitative Benefit-Risk Assessment Good Practices
- ISPOR Statistical Methods for the Analysis of Discrete-Choice Experiments
Beta record. Based on the original catalogue summary; primary-source enrichment pending.