Benjamin S. Crosier

The Brief Aggression Questionnaire: Psychometric and Behavioral Evidence for an Efficient Measure of Trait Aggression

A key problem facing aggression research is how to measure individual differences in aggression accurately and efficiently without sacrificing reliability or validity. Researchers are increasingly demanding brief measures of aggression for use in applied settings, field studies, pretest screening, longitudinal, and daily diary studies. The authors selected the three highest loading items from each of the Aggression Questionnaires (Buss & Perry, 1992) four subscales--Physical Aggression, Verbal Aggression, anger, and hostility--and developed an efficient 12-item measure of aggression--the Brief Aggression Questionnaire (BAQ). Across five studies (N = 3,996), the BAQ showed theoretically consistent patterns of convergent and discriminant validity with other self-report measures, consistent four-factor structures using factor analyses, adequate recovery of information using item response theory methods, stable test-retest reliability, and convergent validity with behavioral measures of aggression. The authors discuss the reliability, validity, and efficiency of the BAQ, along with its many potential applications.

Using Smartphones to Collect Behavioral Data in Psychological Science: Opportunities, Practical Considerations, and Challenges

Smartphones now offer the promise of collecting behavioral data unobtrusively, in situ, as it unfolds in the course of daily life. Data can be collected from the onboard sensors and other phone logs embedded in today’s off-the-shelf smartphone devices. These data permit fine-grained, continuous collection of people’s social interactions (e.g., speaking rates in conversation, size of social groups, calls, and text messages), daily activities (e.g., physical activity and sleep), and mobility patterns (e.g., frequency and duration of time spent at various locations). In this article, we have drawn on the lessons from the first wave of smartphone-sensing research to highlight areas of opportunity for psychological research, present practical considerations for designing smartphone studies, and discuss the ongoing methodological and ethical challenges associated with research in this domain. It is our hope that these practical guidelines will facilitate the use of smartphones as a behavioral observation tool in psychological science.

Smoking, vaping, eating: Is legalization impacting the way people use cannabis?

BACKGROUND In the context of the shifting legal landscape of medical cannabis, different methods of cannabis administration have important public health implications. How medical marijuana laws (MML) may influence patterns of use of alternative methods of cannabis administration (vaping and edibles) compared to traditional methods (smoking) is unclear. The purpose of this study was to determine if the prevalence of use of alternative methods of cannabis administration varied in relation to the presence of and variation in MMLs among states in the United States. METHOD Using Qualtrics and Facebook, we collected survey data from a convenience sample of n=2838 individuals who had used cannabis at least once in their lifetime. Using multiple sources, U.S. states were coded by MML status, duration of MML status, and cannabis dispensary density. Adjusted logistic and linear regression analyses were used to analyze outcomes of ever use, preference for, and age of initiation of smoking, vaping, and edibles in relation to MML status, duration of MML status, and cannabis dispensary density. RESULTS Individuals in MML states had a significantly higher likelihood of ever use of vaping (OR: 2.04, 99% CI: 1.62-2.58) and edibles (OR: 1.78, 99% CI: 1.39-2.26) than those in states without MMLs. Longer duration of MML status and higher dispensary density were also significantly associated with ever use of vaping and edibles. CONCLUSIONS MMLs are related to state-level patterns of utilization of alternative methods of cannabis administration. Whether discrepancies in MML legislation are causally related to these findings will require further study. If MMLs do impact methods of use, regulatory bodies considering medical or recreational legalization should be aware of the potential impact this may have on cannabis users.

U.S. cannabis legalization and use of vaping and edible products among youth.

BACKGROUND Alternative methods for consuming cannabis (e.g., vaping and edibles) have become more popular in the wake of U.S. cannabis legalization. Specific provisions of legal cannabis laws (LCL) (e.g., dispensary regulations) may impact the likelihood that youth will use alternative methods and the age at which they first try the method - potentially magnifying or mitigating the developmental harms of cannabis use. METHODS This study examined associations between LCL provisions and how youth consume cannabis. An online cannabis use survey was distributed using Facebook advertising, and data were collected from 2630 cannabis-using youth (ages 14-18). U.S. states were coded for LCL status and various LCL provisions. Regression analyses tested associations among lifetime use and age of onset of cannabis vaping and edibles and LCL provisions. RESULTS Longer LCL duration (ORvaping: 2.82, 95% CI: 2.24, 3.55; ORedibles: 3.82, 95% CI: 2.96, 4.94), and higher dispensary density (ORvaping: 2.68, 95% CI: 2.12, 3.38; ORedibles: 3.31, 95% CI: 2.56, 4.26), were related to higher likelihood of trying vaping and edibles. Permitting home cultivation was related to higher likelihood (OR: 1.93, 95% CI: 1.50, 2.48) and younger age of onset (β: -0.30, 95% CI: -0.45, -0.15) of edibles. CONCLUSION Specific provisions of LCL appear to impact the likelihood, and age at which, youth use alternative methods to consume cannabis. These methods may carry differential risks for initiation and escalation of cannabis use. Understanding associations between LCL provisions and methods of administration can inform the design of effective cannabis regulatory strategies.

Dating and Sexual Behavior Among Single Parents of Young Children in the United States

Theory and research on partnered parents suggests trade-offs between parenting and sexuality, with those trade-offs most pronounced among mothers of young children. However, little research has focused on how a growing demographic of single parents negotiates dating and sexual activity. The current study drew upon a 2012 nationally representative sample of 5,481 single Americans 21 years of age and older, of whom 4.3% were parents of a child age five or younger. Dependent variables were sexual thoughts, frequency of sexual activity, number of sexual partners in the past year, dates during the previous three months, and whether one was actively seeking a relationship partner. Covariates included parental age, sex/gender, sexual orientation, education, and income. Using the entire sample of singles, we found no main effects of number (0, 1, 2+) of children aged five years and younger or number of children aged two years and younger on dating and sexual behavior variables. Next, using analyses restricted to single parents (n = 2,121), we found that single parents with a child aged five years or younger, adjusting for covariates, reported greater frequency of sexual activity and first dates but no differences in other outcomes compared with single parents of older children.

The Brief Aggression Questionnaire: Structure, Validity, Reliability, and Generalizability.

In contexts that increasingly demand brief self-report measures (e.g., experience sampling, longitudinal and field studies), researchers seek succinct surveys that maintain reliability and validity. One such measure is the 12-item Brief Aggression Questionnaire (BAQ; Webster et al., 2014), which uses 4 3-item subscales: Physical Aggression, Verbal Aggression, Anger, and Hostility. Although prior work suggests the BAQs scores are reliable and valid, we addressed some lingering concerns. Across 3 studies (N = 1,279), we found that the BAQ had a 4-factor structure, possessed long-term test–retest reliability across 12 weeks, predicted differences in behavioral aggression over time in a laboratory experiment, generalized to a diverse nonstudent sample, and showed convergent validity with a displaced aggression measure. In addition, the BAQs 3-item Anger subscale showed convergent validity with a trait anger measure. We discuss the BAQs potential reliability, validity, limitations, and uses as an efficient measure of aggressive traits.

Evolutionary Psychology’s Place in Evolutionary Studies: a Tale of Promise and Challenge

The Evolutionary Studies (EvoS) Consortium and the academic programs born from its creation have been wildly successful in their initial ventures. These achievements are marked by feedback from across the EvoS campuses, the resultant scholarly work produced by participating students, and faculty collaborations spurred by exposure to the organization. The success of EvoS is probably best marked by the recent National Science Foundation grant (CCLI Award #0817337), awarded jointly to SUNY New Paltz and Binghamton University, with the purpose of expanding EvoS beyond the bounds of these two institutions. A particularly noteworthy element of many EvoS programs is the role of Evolutionary Psychology (EP), a perspective in the behavioral sciences that addresses questions of human behavior from the perspective of evolution. In light of several forms of data, including analyses of a variety of disciplines drawn on from evolutionary psychologists in their work, we argue that evolutionary psychologists may well be the most naturally interdisciplinary scholars within the behavioral sciences, making them highly appropriate for inclusion in EvoS. But our research shows not only promise regarding the relationship between EP and EvoS—challenges are raised as well. We present additional data showing that EP is currently represented disproportionately within the EvoS world—a fact that clearly shows that there are currently limitations to the potential impact of EvoS in modern academia. Scholars from other disciplines, particularly within the humanities and social sciences, seem to be missing the evolution revolution. Implications regarding how EvoS can broaden its scope to be even more powerful in its integrative scope are discussed.

Harnessing Social Media for Substance Use Research and Treatment

It is not news that drug addiction is still one of the largest problems we face as a nation, despite decades of attempted social, legal, and medical solutions. New synthetic drugs of abuse seem to be emerging regularly, with substances like Flakka sending unsuspecting users into terrifying and dangerous experiences. Prescription and street opioids are ravaging unsuspecting communities, importing big city problems to bucolic rural locales. Nearly one in 10 (8.4%) American adults confronted a substance use disorder in the past year [1], resulting in an array of personal hardships ranging from the disruption of relationships to death. If that fact alone provides insufficient motivation to engender change, consider the fact that tobacco, alcohol, and illicit drug use cost the United States U

Identifying substance use risk based on deep neural networks and Instagram social media data

700 billion annually [2], which is

Exploring the Utility of Community-Generated Social Media Content for Detecting Depression (Preprint)

244 billion more than we spend on Medicaid. And, this problem is not unique to the U.S but is a global problem. The United Nations Office of Drugs and Crime estimates that there are between 16 million and 39 million problem substance users across the world, with only one in six having access to, or receiving, treatment [3]. Drastically new approaches for research and treatment are clearly required to address this persistent and evolving worldwide need.