Neal, Tess

A qualitative study with 20 board-certified forensic psychologists was followed up by a mail survey of 351 forensic psychologists in this mixed-methods investigation of examiner bias awareness and strategies used to debias forensic judgments. Rich qualitative data emerged about awareness of bias, specific biasing situations that recur in forensic evaluations, and potential debiasing strategies. The continuum of bias awareness in forensic evaluators mapped cogently onto the “stages of change” model. Evaluators perceived themselves as less vulnerable to bias than their colleagues, consistent with the phenomenon called the “bias blind spot.” Recurring situations that posed challenges for forensic clinicians included disliking or feeling sympathy for the defendant, disgust or anger toward the offense, limited cultural competency, preexisting values, colleagues’ influences, and protecting referral streams. Twenty-five debiasing strategies emerged in the qualitative study, all but one of which rated as highly useful in the quantitative survey. Some of those strategies are consistent with empirical evidence about their effectiveness, but others have been shown to be ineffective. We identified which strategies do not help, focused on promising strategies with empirical support, discussed additional promising strategies not mentioned by participants, and described new strategies generated by these participants that have not yet been subjected to empirical examination. Finally, debiasing strategies were considered with respect to future directions for research and forensic practice.

Using confirmatory factor analyses and multiple indicators per construct, we examined a number of theoretically derived factor structures pertaining to numerous trust-relevant constructs (from 9 to12) across four institutional contexts (police, local governance, natural resources, state governance) and multiple participant-types (college students via an online survey, community residents as part of a city’s budget engagement activity, a random sample of rural landowners, and a national sample of adult Americans via an Amazon Mechanical Turk study). Across studies, a number of common findings emerged. First, the best fitting models in each study maintained separate factors for each trust-relevant construct. Furthermore, post hoc analyses involving addition of higher-order factors tended to fit better than collapsing of factors. Second, dispositional trust was easily distinguishable from the other trust-related constructs, and positive and negative constructs were often distinguishable. However, the items reflecting positive trust attitude constructs or positive trustworthiness perceptions showed low discriminant validity. Differences in findings between studies raise questions warranting further investigation in future research, including differences in correlations among latent constructs varying from very high (e.g., 12 inter-factor correlations above .9 in Study 2) to more moderate (e.g., only 3 correlations above .8 in Study 4). Further, the results from one study (Study 4) suggested that legitimacy, fairness, and voice were especially highly correlated and may form a single higher-order factor, but the other studies did not. Future research is needed to determine when and why different higher-order factor structures may emerge in different institutional contexts or with different samples.