Most cited decision sciences papers
- Verified
The natural selection of bad science
Smaldino, P. E., & McElreath, R. (2016) · Royal Society Open Science
Meta-analysis and systematic reviewsPsychology Research and Bibliometrics
Cited by 860
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Transformative Paradigm: Mixed Methods and Social Justice
Mertens, D. M. (2007) · Journal of Mixed Methods Research
Evaluation and Performance AssessmentCommunity Health and Development
Cited by 860
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Psychometric qualities of a brief self-rated fatigue measure
Michielsen, H. J., De Vries, J., & Van Heck, G. L. (2003) · Journal of Psychosomatic Research
Psychometric Methodologies and TestingSleep and Work-Related Fatigue
Cited by 860
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How can systematic reviews incorporate qualitative research? A critical perspective
Dixon-Woods, M., Bonas, S., Booth, A., Jones, D. R., Miller, T., Sutton, A. J., Shaw, R. L., Smith, J. A., & Young, B. (2006) · Qualitative Research
Meta-analysis and systematic reviewsQualitative Research Methods and Applications
Cited by 860
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The interplay between theory and method
Van Maanen, J., Sørensen, J. B., & Mitchell, T. R. (2007) · Academy of Management Review
Business Strategies and Management ResearchBusiness and Management Studies
Cited by 860
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Choice overload: A conceptual review and meta-analysis
Chernev, A., Böckenholt, U., & Goodman, J. (2015) · Journal of Consumer Psychology
Decision-Making and Behavioral EconomicsConsumer Market Behavior and Pricing
Cited by 858
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Affective space is bipolar.
Russell, J. A. (1979) · Journal of Personality and Social Psychology
Psychometric Methodologies and TestingPsychological Testing and Assessment
Cited by 857
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Rethinking Internal Consistency in Cronbach’s Alpha
Vaske, J. J., Beaman, J., & Sponarski, C. C. (2017) · Leisure Sciences
Psychometric Methodologies and TestingSurvey Methodology and Nonresponse
Cited by 856
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The Medical Review Article: State of the Science
MULROW, C. D. (1987) · Annals of Internal Medicine
Meta-analysis and systematic reviewsAcademic Writing and Publishing
Cited by 856
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Data science and prediction
Dhar, V. (2013) · Communications of the ACM
Big Data Technologies and ApplicationsBig Data and Business Intelligence
Cited by 856
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Reporting guideline for overviews of reviews of healthcare interventions: development of the PRIOR statement.
Gates, M., Gates, A., Pieper, D., Fernandes, R. M., Tricco, A. C., Moher, D., Brennan, S. E., Li, T., Pollock, M., Lunny, C., et al. (2022) · BMJ
Meta-analysis and systematic reviewsDelphi Technique in Research
Cited by 856
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What are scoping studies? A review of the nursing literature
Davis, K., Drey, N., & Gould, D. (2009) · International Journal of Nursing Studies
Meta-analysis and systematic reviewsHealth Sciences Research and Education
Cited by 855
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Factor analysis and scale revision.
Reise, S. P., Waller, N. G., & Comrey, A. L. (2000) · Psychological Assessment
Psychometric Methodologies and TestingPsychological Testing and Assessment
Cited by 855
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Reluctance to vaccinate: Omission bias and ambiguity
Ritov, I., & Baron, J. (1990) · Journal of Behavioral Decision Making
Decision-Making and Behavioral EconomicsRisk Perception and Management
Cited by 854
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Predictors of online buying behavior
Bellman, S., Lohse, G. L., & Johnson, E. J. (1999) · Communications of the ACM
Technology Adoption and User BehaviourConsumer Behavior and Marketing Influence
Cited by 854
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Methods for defining and determining the clinical significance of treatment effects: description, application and alternatives
Jacobson, N. S., Roberts, L. J., Berns, S. B., & McGlinchey, J. B. (1999) · Journal of Consulting and Clinical Psychology
Psychometric Methodologies and TestingPsychotherapy Techniques and Applications
Cited by 853
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When Knowledge Wins: Transcending the Sense and Nonsense of Academic Rankings
Adler, N. J., & Harzing, A.-W. (2009) · Academy of Management Learning & Education
scientometrics and bibliometrics researchHigher Education Governance and Development
Cited by 853
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The GRADE Working Group clarifies the construct of certainty of evidence
Hultcrantz, M., Rind, D., Akl, E. A., Treweek, S., Mustafa, R. A., Iorio, A., Alper, B. S., Meerpohl, J. J., Murad, M. H., Ansari, M. T., et al. (2017) · Journal of Clinical Epidemiology
Meta-analysis and systematic reviewsClinical practice guidelines implementation
Cited by 853
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Extending the two-stage information systems continuance model: incorporating UTAUT predictors and the role of context: Context, expectations and IS continuance
Venkatesh, V., Thong, J. Y. L., Chan, F. K. Y., Hu, P. J.-H., & Brown, S. A. (2011) · Information Systems Journal
Technology Adoption and User BehaviourE-Government and Public Services
Cited by 852
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Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence
Collins, G. S., Dhiman, P., Andaur Navarro, C. L., Ma, J., Hooft, L., Reitsma, J. B., Logullo, P., Beam, A. L., Peng, L., Van Calster, B., et al. (2021) · BMJ Open
Meta-analysis and systematic reviewsStatistical Methods in Epidemiology
Cited by 852
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Artificial Intelligence in FinTech: understanding robo-advisors adoption among customers
Belanche, D., Casaló, L. V., & Flavián, C. (2019) · Industrial Management & Data Systems
Technology Adoption and User BehaviourFinTech, Crowdfunding, Digital Finance
Cited by 851
- Verified · note
Human Judgment and Social Policy: Irreducible Uncertainty, Inevitable Error, Unavoidable Injustice
Hammond, K. R. (1996)
Decision-Making and Behavioral EconomicsClinical Reasoning and Diagnostic Skills
Cited by 851
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Unpacking black boxes: mechanisms and theory building in evaluation
Astbury, B., & Leeuw, F. L. (2010) · American Journal of Evaluation
Evaluation and Performance AssessmentQualitative Comparative Analysis Research
Cited by 850
- Verified
Procrastination and Obedience
Akerlof, G., & Akerlof, G. (1991) · Unknown
Decision-Making and Behavioral EconomicsExperimental Behavioral Economics Studies
Cited by 849
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