Here are some ideas for possible research projects (including Masters and PhDs, etc) involving 1000minds.
Feel free to help yourself!
- A comparison (‘bake-off’) of 1000minds’ PAPRIKA method versus the Analytic Hierarchy Process (AHP) or other ‘scoring’ methods
- A comparison of the predictive accuracy of 1000minds’ PAPRIKA method versus methods based on data and regression-type analysis (e.g. logit)
- How do methods and software like the PAPRIKA method and 1000minds compare against simple back-of-the-envelope methods involving equal weights and linear scales?
- EVIDEM versus 1000minds for health technology prioritization. What are their strengths and weaknesses?
- Yes, but is 1000minds reliable? An investigation into the test-retest reliability of the PAPRIKA method
- What difference does it make to MCDM results if the criteria are specified in absolute versus relative terms?
- Using cluster analysis to test the relationship between individuals’ preference values (weights) and how they categorize alternatives (both collected using 1000minds’ group decision-making)
- ‘Mechanical’ versus ‘holistic’ methods for making selection decisions (e.g. hiring, admission to medical school, etc)
- And the winner is ... Can the Oscars be predicted using Mult-Criteria Decision-Making / Conjoint Analysis?
- What does it mean to be a ‘spiritual’ person? What are the relevant dimensions of spirituality and their relative importance?
- Constructing a Human Development or Happiness Index (e.g. Human Development Index): What are the appropriate components and what are their weights?
- Trustworthy vs. Competent vs. ‘Good to Deal With’? What do customers want most from professionals such as lawyers, accountants, financial advisors, etc?
- What are the ‘right’ weights for a business reputation index, and do different stakeholders have different weights?
- Extending the Index of Freedom in the World by deriving weights for its components by surveying the people of the world
- Creating an instrument for assessing an organization’s overall ‘business excellence’ based on multiple dimensions of performance (e.g. leadership, strategic planning, customer focus, measurement, workforce, operations, results)
- How much do citizens value treatments targeted at the sickest patients, including the terminally ill, relative to ‘ordinary’ treatments?
- What do investors look for when constructing an investment portfolio (apart from just risk and return)?
- What matters most to investors when assessing start-up companies or entrepreneurs in which to invest?
- Estimation of value sets – personalised and aggregated – for the EQ-5D health state system
- Participatory democracy for public funding of science research: What are society’s research priorities?
- What makes art valuable? A conjoint analysis of art as an investment
- How important to university senior managers (e.g. deans, vice-chancellors, presidents) is teaching and community service relative to research, and what trade-offs are they willing to make when hiring or promoting?
- What are the most important elements in students’ courses – e.g. at school, university or polytechnic?
- Use of Multi-Criteria Decision Analysis for drug formulary decision-making and management
- What characteristics of a public health service (or health provider) are the most important to health service users?
- A conjoint analysis into why so few New Zealanders ride bicycles to work and school
- What do tourists value most when visiting wilderness areas or other tourist attractions?
Want to use 1000minds?
We support academics and students with discounted academic licenses and academic awards.
Contact us if you want to use 1000minds for teaching and you’d like us to send you a dedicated URL for your students to quickly enrol for their own user accounts so they can use 1000minds (e.g. class project).
To mention 1000minds in your research, we recommend a reference like this:
1000minds (2020), 1000minds decision-making and conjoint analysis software, https://www.1000minds.com
The reference for the article underpinning the PAPRIKA method is:
P Hansen & F Ombler (2008), “A new method for scoring multi-attribute value models using pairwise rankings of alternatives”, Journal of Multi-Criteria Decision Analysis 15, 87-107.