By Professor Kristy Martire

Preprints

Martire K; Edmond G, 2024, How well do lay people comprehend statistical statements from forensic scientists?, , http://dx.doi.org/10.31219/osf.io/67fgp

Robson SG; Faasse K; Gordon E-R; Jones S; Smith N; Martire K, 2024, People Who Believe Implausible Claims are not Cognitive Misers: Evidence from Evaluation Tasks, , http://dx.doi.org/10.31234/osf.io/n35sc

Robson SG; Faasse K; Martire K, 2024, Valuing different forms of knowledge predicts belief in epistemically suspect claims: Development and validation of the Foundations of Knowledge Questionnaire, , http://dx.doi.org/10.31234/osf.io/cz975

Martire K, 2023, In what way are you qualified? Understanding epistemic (in)competence and expert persuasion through the courtroom of My Cousin Vinny, , http://dx.doi.org/10.31219/osf.io/ahkdj

Neal TMS; Martire K; Johan JL; Mathers E; Otto RK, 2022, The Law Meets Psychological Expertise: Eight Best Practices to Improve Forensic Psychological Assessment, , http://dx.doi.org/10.31234/osf.io/6vtf2

Growns B; Martire K; Mattijssen EJAT, 2022, Individual differences in distributional statistical learning: better frequency ‘discriminators’ are better explicit ‘estimators’, , http://dx.doi.org/10.31234/osf.io/y8w4r

Martire K; Montgomery-Farrer B, 2020, Judging Experts: Australian Magistrates’ Evaluations of Expert Opinion Quality, , http://dx.doi.org/10.31234/osf.io/ycvbk

Growns B; Martire K, 2020, Forensic Feature-Comparison Expertise: Statistical Learning Facilitates Visual Comparison Performance, , http://dx.doi.org/10.31234/osf.io/pzfjb

Martire K; Navarro D; Edmond G, 2020, Exploring Juror Evaluations of Expert Opinions Using the Expert Persuasion Expectancy (ExPEx) Framework, , http://dx.doi.org/10.31234/osf.io/euh9g

Martire K; Bali A; Ballantyne K; Edmond G; Kemp R; Found B, 2020, Forensic science evidence: Naive estimates of false positive error rates and reliability, , http://dx.doi.org/10.31234/osf.io/anxur

Martire K; Navarro D; Edmond G; Newell BR, 2019, On the likelihood of 'encapsulating all uncertainty', , http://dx.doi.org/10.31234/osf.io/suf8p

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