The Effectiveness of a Racialized Counterstrategy

Our article examines whether a politician charging a political candidate's implicit racial campaign appeal as racist is an effective political strategy. According to the racial priming theory, this racialized counterstrategy should deactivate racism, thereby decreasing racially conservative whites’ support for the candidate engaged in race baiting. We propose an alternative theory in which racial liberals, and not racially conservative whites, are persuaded by this strategy. To test our theory, we focused on the 2016 presidential election. We ran an experiment varying the politician (by party and race) calling an implicit racial appeal by Donald Trump racist. We find that charging Trump's campaign appeal as racist does not persuade racially conservative whites to decrease support for Trump. Rather, it causes racially liberal whites to evaluate Trump more unfavorably. Our results hold up when attentiveness, old‐fashioned racism, and partisanship are taken into account. We also reproduce our findings in two replication studies.     

Using Spaced Learning Principles to Translate Knowledge into Behavior: Evidence from Investigative Interviews of Alleged Child Abuse Victims

The present study assessed the progress of 13 investigative interviewers (child protection workers and police officers) before, during, and after an intensive training program (n = 132 interviews). Training began with a 2-day workshop covering the principles of child development and child-friendly interviewing. Interviewers then submitted interviews on a bi-weekly basis to which they received written and verbal feedback over an 8-month period. A refresher session took place two months into training. Interestingly, improvements were observed only after the refresher session. Interviews conducted post-refresher training contained proportionally more open-ended questions, more child details in response to open-ended questions, and proportionally fewer closed questions than interviews conducted prior to training and in the first half of the training program. The need for ‘spaced learning’ may underlie why so many training programs have had little effect on practice.     

The BodeChecks solution: A high throughput analysis software combining GeneMapper ID, FSS-i, LIMS, and artificial intelligence

Combining key attributes of GeneMapper^® ID and FSS-i³ software packages with our internally created LIMS and some additional analytical programming has permitted us to increase quality checks on DNA profile data review while eliminating analysis time.     

State-Level Determinants of Hate Crime Reporting: Examining the Impact of Structural and Social Movement Influences

In this article, we investigate factors affecting hate crime policies by examining anti-LGBT (lesbian, gay, bisexual, transgender) hate crime reports as a type of policy implementation. Analyzing state-level data drawn primarily from the US Census between 1995 and 2008, we examine how structural and social movement mobilization factors explain hate crime reporting. We find that anti-LGBT hate crimes are more likely to be reported in more urbanized states and in states with both split political elites and a greater number of LGBT social movement organizations. We discuss the implications of our findings for separating the drivers of policy passage from policy implementation and for complementary criminological and social movement explanations for hate crime reporting.     

The family law detection of overall risk screen (FL-DOORS): Utility as a repeated measure for assessing change in family violence risk over time

Conflicted parental separation is associated with risks to safety and wellbeing for all family members. The Family Law DOORS (FL-DOORS; Detection of Overall Risk Screen) is a standardized screening framework to assist identification, evaluation, and response to family safety risks. The FL-DOORS has previously been validated in two large Australian samples (N = 6089) and found fit-for-purpose as an indicator of family violence and wellbeing risks in separated families. Now, using pilot data from a community mediation context, we examine its utility as a repeated measure for detecting change in safety and wellbeing over time. A pilot cohort of 67 parents engaged in a mediation service for parenting and/or property disputes completed the FL-DOORS at intake (T1) and approximately 8 weeks later (T2). We assessed T1-T2 change scores and correlations in change between variables and used MANOVA to determine if clusters of related scales discriminated change across time. Findings support the psychometric capacity of the FL-DOORS for use as a repeated measure in risk monitoring. We also note possible effects of this early screening process for reducing risk prior to engagement in mediation input. We discuss implementation utility for family law services to monitor change in risk type and magnitude over time.