Sensitivity and Strength: Effects Of Instructions on Resistance to Change

Several research laboratories have found that instructed behavior can be less sensitive to changes in contingencies than shaped behavior. The current experiment examined whether these differences in sensitivity could be related to resistance to change. Two groups of subjects, who were matched on the basis of an initial disruption assessment, were exposed to a variable-interval 30-s schedule of reinforcement with and without a disrupter. The disrupter was a video presentation of a popular television situation comedy. One group received minimal instructions (MI) that told them only that they could earn points exchangeable for money. Each member of the second group received a complete instruction (CI) that described the topography of the target response that was yoked to a MI subject’s stable baseline response rate. The response rates under the disruption condition for the CI subjects were more resistant to change than the MI subjects in 14 out of 15 disruption sessions. These findings are discussed in terms of resistance to change being increased by instructional conditions like those manipulated and that the procedures used to test disruption provide an additional method to !waluate differences between instructed and contingency-governed behavior.

     

Using algorithms to address trade-offs inherent in predicting recidivism

Although risk assessment has increasingly been used as a tool to help reform the criminal justice system, some stakeholders are adamantly opposed to using algorithms. The principal concern is that any benefits achieved by safely reducing rates of incarceration will be offset by costs to racial justice claimed to be inherent in the algorithms themselves. But fairness trade-offs are inherent to the task of predicting recidivism, whether the prediction is made by an algorithm or human. Based on a matched sample of 67,784 Black and White federal supervisees assessed with the Post Conviction Risk Assessment, we compared how three alternative strategies for “debiasing” algorithms affect these trade-offs, using arrest for a violent crime as the criterion . These candidate algorithms all strongly predict violent reoffending (areas under the curve = 0.71–72), but vary in their association with race (r = 0.00–0.21) and shift trade-offs between balance in positive predictive value and false-positive rates. Providing algorithms with access to race (rather than omitting race or “blinding” its effects) can maximize calibration and minimize imbalanced error rates. Implications for policymakers with value preferences for efficiency versus equity are discussed.     

The Case for Rules in Reasoning

A number of theoretical positions in psychology—including variants of case-based reasoning, instance-based analogy, and connectionist models—maintain that abstract rules are not involved in human reasoning, or at best play a minor role. Other views hold that the use of abstract rules is a core aspect of human reasoning. We propose eight criteria for determining whether or not people use abstract rules in reasoning, and examine evidence relevant to each criterion for several rule systems. We argue that there is substantial evidence that several different inferential rules, including modus ponens, contractual rules, causal rules, and the law of large numbers, are used in solving everyday problems. We discuss the implications for various theoretical positions and consider hybrid mechanisms that combine aspects of instance and rule models.     

Momentary mood and coping processes in TMD pain.

Temporomandibular dysfunction (TMD) pain, like many chronic pain problems, appears to be multiply determined. Patients with TMD pain of at least 6 months duration (N = 30) were administered questionnaires measuring dispositional coping styles and appraisals to explore the dynamic interactions of the pain and coping process. Patients were then issued handheld computers that prompted them to record their momentary pain and coping processes 4 times per day for 7 days. Hierarchical linear regression models using both the dispositional and momentary predictors indicated that momentary pain was a function both of dispositional tendency to catastrophize and of momentary measures of catastrophization, self-efficacy, and mood states. Results were seen as supporting a situational model of intervention for chronic TMD pain.