Logistic regressions predicting a verdict of guilt.

<p>Null and residual deviances are shown at the bottom of the table, for assessing overall model fit.</p><p>° <i>p <</i> 0.10.</p><p>* <i>p</i> < 0.05.</p><p>** <i>p</i> < 0.01.</p><p>Logistic regressions predicting a verdict of guilt.</p

Operationalization of ID Quality.

<p>Columns indicate differences in the key witness's testimony across the “weak” and “strong” ID Quality conditions. All other aspects of the evidence were held constant across conditions.</p><p>Operationalization of ID Quality.</p

Participant Comprehension, confidence, and influence.

<p>Means and standard deviations of mock jurors' comprehension of the judicial instruction, confidence in their verdict, and agreement that the testimony of the key eyewitness was “influential in [their] verdict decision.” All responses were on a 1–6 point Likert scale, with higher numbers indicating greater comprehension, confidence, or agreement.</p><p>Participant Comprehension, confidence, and influence.</p

Proportion of Guilty verdicts (and 95% confidence intervals) by Instruction and ID Quality.

<p>Proportion of Guilty verdicts (and 95% confidence intervals) by Instruction and ID Quality.</p