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How Systematically Increasing Estimator Variables Affects The Confidence-Accuracy Relationship, Amber M. Giacona
How Systematically Increasing Estimator Variables Affects The Confidence-Accuracy Relationship, Amber M. Giacona
Graduate Theses and Dissertations
Researchers have used signal-detection theory-based approach to show that when police use proper practices with eyewitnesses, highly confident witnesses will be highly accurate even when viewing conditions may be suboptimal (Wixted & Wells, 2017). This is referred to as the pristine conditions hypothesis. There have been multiple, and often contradictory, studies that have investigated the relationship between viewing conditions and memory degradation (Giacona et al., 2021; Grabman et al., 2019; Lockamyeir et al, 2020; Semmler et al., 2018). In the current study, I systematically manipulated five estimator variables (lighting, distance, retention interval, exposure duration, and race) as either suboptimal or …