Cade Massey
General Decision Sciences · 2014–2018
A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 28 researchers here, as inferred from the citation graph.
Subfields
- General Decision Sciences — 10 citations into it; #245 of 1,995 by trust here, #180 by citations
- Management Science and Operations Research — 6 citations into it; #1,600 of 11,946 by trust here, #700 by citations
Whom Cade Massey trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Cade Massey overall
- Bo Cowgill
- Chiara Longoni
- J. Logg
- Vivian Lai
- Jason Burton
- Catherine E. Tucker
- Aaron Baird
- Ben Green
- Jennifer M. Logga
Papers from Cade Massey's perspective
Ordered by how strongly the researchers Cade Massey trusts endorse each paper. Same corpus, a different order for every researcher.
- Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models (Behavior Research Methods)
- Comparative efficiency of informal (subjective, impressionistic) and formal (mechanical, algorithmic) prediction procedures: The clinical–statistical controversy.
- Clinical versus mechanical prediction: a meta-analysis.
- Algorithm aversion: people erroneously avoid algorithms after seeing them err.
- The trouble with overconfidence. (Psychology Review)
- Signal and Noise: Why So Many Predictions Fail – but Some Don't
- Do patients trust computers
- Stubborn Reliance on Intuition and Subjectivity in Employee Selection (Industrial and Organizational Psychology)
- Decision Bias in the Newsvendor Problem with a Known Demand Distribution: Experimental Evidence.: Experimental Evidence.
- Lancaster University Management School Working Paper 2007 / 005 Against your better judgment ? How organizations can improve their use of management judgment in forecasting
Their papers
- Algorithm aversion: people erroneously avoid algorithms after seeing them err. (2015) — 2,547 citations
- Overcoming Algorithm Aversion: People Will Use Imperfect Algorithms If They Can (Even Slightly) Modify Them (2018) — 1,011 citations
- Understanding Algorithm Aversion: Forecasters Erroneously Avoid Algorithms After Seeing them Err (2014) — 18 citations