Objective The Brunswik lens model typically represents a judge's accuracy using parameters derived from linear regression. This is not optimal if the judgment or the ecological criterion is dichotomous. Alternative approaches, modeling dichotomies using logistic regression, or linearizing judgments with confidence ratings, have not been compared with the same data. Method Four techniques for deriving lens model equation parameters were compared: 1) linear and 2) logistic regression applied to dichotomous patient outcomes and judgments; 3) linear regression with confidence-adjusted judgments but dichotomous patient outcomes; and 4) a hybrid with a linear model of the confidence-adjusted judgments and a logistic model of the patient outcomes. Results Judgment accuracy (ra) was slightly higher with confidence adjustment of the categorical judgments. The logistic lens model accounted for a higher proportion of ra than the linear lens model; the confident-linear and hybrid lens models were intermediate. For up to a quarter of participants, different methods identified different cues as most important. Display condition differences in achievement ra and in lens model components are similar with all lens model methods. Conclusion Each of the three alternative lens model equation methods improves on the linear lens model equation's decomposition of the accuracy of dichotomous judgments. Confidence adjustment improves achievement although it requires additional work from the subjects. The logistic lens model equation explains the highest proportion of achievement, but with a small stimulus set it is more vulnerable to cue intercorrelations than either the linear or the confident linear lens model equation.

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关于二分标准的二分判断的替代镜头模型方程

目标 Brunswik 镜片模型通常使用从线性回归得出的参数来代表法官的准确度。如果判断或生态标准是二​​分法的，这不是最优的。替代方法，使用逻辑回归建模二分法，或使用置信度等级线性化判断，尚未与相同的数据进行比较。方法 比较了四种用于导出晶状体模型方程参数的技术：1）线性和 2）逻辑回归应用于二分类患者的结果和判断；3) 具有置信度调整判断但患者结果二分法的线性回归；4) 具有置信度调整判断的线性模型和患者结果的逻辑模型的混合模型。结果 分类判断置信度调整后，判断准确度（ra）略高。Logistic 透镜模型占 ra 的比例高于线性透镜模型；置信线性和混合镜片模型处于中等水平。对于多达四分之一的参与者，不同的方法将不同的线索确定为最重要的。成就 ra 和镜头模型组件的显示条件差异与所有镜头模型方法相似。结论 三种替代透镜模型方程方法中的每一种都提高了线性透镜模型方程分解二分法判断的准确性。信心调整可以提高成绩，尽管它需要受试者的额外工作。逻辑透镜模型方程解释了最高比例的成就，