Behavioral Science Research Research Articles

Agency rescues competition for credit assignment among predictive cues from adverse learning conditions

A fundamental assumption of learning theories is that the credit assigned to predictive cues is not simply determined by their probability of reinforcement, but by their ability to compete with other cues present during learning. This assumption has guided behavioral and neural science research for decades, and tremendous empirical and theoretical advances have been made identifying the mechanisms of cue competition. However, when learning conditions are not optimal (e.g., when training is massed), cue competition is attenuated. This failure of the learning system exposes the individual’s vulnerability to form spurious associations in the real world. Here, we uncover that cue competition in rats can be rescued when conditions are suboptimal provided that the individual has agency over the learning experience. Our findings reveal a new effect of agency over learning on credit assignment among predictive cues, and open new avenues of investigation into the underlying mechanisms.

Combining proration and full information maximum likelihood in handling missing data in Likert scale items: A hybrid approach.

Large-scale surveys are common in social and behavioral science research. Missing data often occur at item levels due to nonresponses or planned missing data designs. In practice, the item scores are typically aggregated into scale scores (i.e., sum or mean scores) for further analyses. Although several strategies to handle item-level missing data have been proposed, most of them are not easy to implement, especially for applied researchers. Using Monte Carlo simulations, we examined a practical hybrid approach to deal with item-level missing data in Likert scale items with a varying number of categories (i.e., four, five, and seven) and missing data mechanisms. Specifically, the examined approach first uses proration to calculate the scale scores for a participant if a certain proportion of item scores is available (a cutoff criterion of proration) and then use full information maximum likelihood to deal with missing data at the scale level when scale scores cannot be computed due to the selected proration cutoff criterion. Our simulation results showed that the hybrid approach was generally acceptable when the missing data were randomly spread over the items, even when they had different thresholds/means and loadings, with caution to be taken when the missingness is determined by one of the scale items. Based on the results, we recommend using the cutoff of 30% or 40% for proration when the sample size is small and the cutoff of 40% or 50% when the sample size is moderate or large.

The Community PrEP Study: a randomized control trial leveraging community-based platforms to improve access and adherence to pre-exposure prophylaxis to prevent HIV among adolescent girls and young women in South Africa\u2014study protocol

BackgroundHIV incidence among South African adolescent girls and young women (AGYW) remains high, but could be reduced by highly effective pre-exposure prophylaxis (PrEP). Unfortunately, AGYW report significant barriers to clinic-based sexual and reproductive health services. Even when AGYW access PrEP as an HIV prevention method, poor prevention-effective use was a serious barrier to achieving its optimal HIV prevention benefits. Determining the acceptability and feasibility of community-based platforms to increase AGYW’s access to PrEP, and evaluating behavioural interventions to improve prevention-effective use of PrEP are needed.MethodsWe propose a mixed-methods study among AGYW aged 16–25 years in Eastern Cape Province, South Africa. In the first component, a cross-sectional study will assess the acceptability and feasibility of leveraging community-based HIV counselling and testing (CBCT) platforms to refer HIV-negative, at-risk AGYW to non-clinic-based, same-day PrEP initiation services. In the second component, we will enrol 480 AGYW initiating PrEP via our CBCT platforms into a three-armed (1:1:1) randomized control trial (RCT) that will evaluate the effectiveness of adherence support interventions to improve the prevention-effective use of PrEP. Adherence will be measured over 24 months via tenofovir-diphosphate blood concentration levels. Qualitative investigations will explore participant, staff, and community experiences associated with community-based PrEP services, adherence support activities, study implementation, and community awareness. Costs and scalability of service platforms and interventions will be evaluated.DiscussionThis will be the first study to assess the acceptability and feasibility of leveraging CBCT platforms to identify and refer at-risk AGYW to community-based, same-day PrEP initiation services. It will also provide quantitative and qualitative results to inform adherence support activities and services that promote the prevention-effective use of PrEP among AGYW. By applying principles of implementation science, behavioural science, and health economics research, we aim to inform strategies to improve access to and prevention-effective use of PrEP by AGYW.Trial registrationClinicalTrials.govNCT03977181. Registered on 6 June 2019—retrospectively registered.

Short and Long-Term Innovations on Dietary Behavior Assessment and Coaching: Present Efforts and Vision of the Pride and Prejudice Consortium.

Overweight, obesity and cardiometabolic diseases are major global health concerns. Lifestyle factors, including diet, have been acknowledged to play a key role in the solution of these health risks. However, as shown by numerous studies, and in clinical practice, it is extremely challenging to quantify dietary behaviors as well as influencing them via dietary interventions. As shown by the limited success of ‘one-size-fits-all’ nutritional campaigns catered to an entire population or subpopulation, the need for more personalized coaching approaches is evident. New technology-based innovations provide opportunities to further improve the accuracy of dietary assessment and develop approaches to coach individuals towards healthier dietary behaviors. Pride & Prejudice (P&P) is a unique multi-disciplinary consortium consisting of researchers in life, nutrition, ICT, design, behavioral and social sciences from all four Dutch Universities of Technology. P&P focuses on the development and integration of innovative technological techniques such as artificial intelligence (AI), machine learning, conversational agents, behavior change theory and personalized coaching to improve current practices and establish lasting dietary behavior change.

Meta-Analytic Methods to Detect Publication Bias in Behavior Science Research.

Publication bias is an issue of great concern across a range of scientific fields. Although less documented in the behavior science fields, there is a need to explore viable methods for evaluating publication bias, in particular for studies based on single-case experimental design logic. Although publication bias is often detected by examining differences between meta-analytic effect sizes for published and grey studies, difficulties identifying the extent of grey studies within a particular research corpus present several challenges. We describe in this article several meta-analytic techniques for examining publication bias when published and grey literature are available as well as alternative meta-analytic techniques when grey literature is inaccessible. Although the majority of these methods have primarily been applied to meta-analyses of group design studies, our aim is to provide preliminary guidance for behavior scientists who might use or adapt these techniques for evaluating publication bias. We provide sample data sets and R scripts to follow along with the statistical analysis in hope that an increased understanding of publication bias and respective techniques will help researchers understand the extent to which it is a problem in behavior science research.

Challenges and Opportunities to Bolster the Effectiveness of Childhood Screening.

Challenges and Opportunities to Bolster the Effectiveness of Childhood Screening.

He Effectiveness of Acceptance and Commitment Therapy on Distress and Psychosomatic Symptoms in Patients with type D personality and Gastrointestinal Dysfunction

Background: Anxiety disorders and psychological manifestations play a significant role in the incidence of psychosomatic disorders. Moreover, Personality traits are one of the psychological constructs associated with psychosomatic symptoms. Objective: This study aimed to determine the effectiveness of acceptance and commitment therapy on distress and psychosomatic symptoms in patients with gastrointestinal dysfunction with type D personality.Methods: The present study was a semi-experimental pre-test, post-test design with a control group and follow-up. The statistical population in this study was all patients with functional gastrointestinal disorders (FGID) who were referred to behavioral sciences research center in Isfahan in 2019, 30 patients were selected by targeted sampling method (patients with gastrointestinal dysfunction, except gastrointestinal cancer patients, who had a high de-personality score). Data were obtained using the D-14 personality type scale, ROME III questionnaire, psychological distress, and stress-anxiety-depression disorders (DASS-21). Data analysis was performed using repeated measure analysis of variance by spss.22. Results: The results showed that acceptance and commitment therapy was effective in decreasing distress (p <0.001) and psychosomatic symptoms (p <0.001) in patients with gastrointestinal dysfunction with type D personality. Conclusion: It can be concluded that acceptance and commitment therapy effectively distress and psychosomatic symptoms of patients with gastrointestinal dysfunction with type D personality and improve psychological problems in patients with gastrointestinal dysfunction.

COGNITIVE RISKS

ABSTRACT Decision science have begun to enter the lexicon of risk professionals as the concepts from Prospect Theory become popular in media outlets who increasingly warn about the risk of human biases. Decision-making under uncertainty, popularized by Dan Kahneman, Amos Tversky, Paul Slovic, Herbert Simon and other economists, is more than an examination of human biases. Prospect Theory is a reexamination of the theory of choice and the causes of violations of utility theory that has blossomed into a broad and diverse body of research in behavioral and cognitive science. This paper is an outline for a proposed draft of a cognitive risk framework that will be developed to incorporate behavioral and cognitive science into an enterprise risk framework for cybersecurity and enterprise risk governance. Herbert Simon coined the term “Bounded Rationality” in his seminal book of the same name. “Broadly stated, the task is to replace the global rationality of economic man with the kind of rational behavior that is compatible with the access to information and the computational capacities that are actually possessed by organisms, including man, in the kinds of environments in which such organisms exist” (Simon 1955a: 99). Before the development of modern of PCs and even more powerful machine learning algorithms, Simon foresaw the opportunity at the intersection of human decision-making and technology. Since Simon, other economists and researchers have broaden insights from a multidisciplinary offering of academic studies into applied behavioral science. Notwithstanding these advances, only a few scientists have developed decision science solutions at scale at the enterprise level. Machine learning and other forms of artificial intelligence will require new rules of engagement and governance controls to ensure that bias and ethical use standards have been put in place. Data, the newest commodity in all digital strategies, must be better organized and structured in organizations to allow for efficacious information workflows needed to power organizations to higher performance. And lastly, the role of humans working with and alongside machines as decision-support tools are in the early stage of deployment. The research for the book, Cognitive Risks, will examine the last frontier in risk management – the role of human actors in a business environment that is transitioning to digital products and services. A new level of awareness is needed in a digital environment that differs from the physical world. We know this because of the advent of misinformation that now permeates the Internet. Nation states and Dark Web criminals have weaponized trust in the Internet through misinformation campaigns in social media sites by using behavioral science, or more specifically, cognitive hacks to change our behavior when surfing the web. These attacks are low cost and very effective because most observers are not aware of cognitive risks. There are many variations of “cognitive hacks” and “cognitive risks” which will be explained in detail in the book. Dimitry Kiselev, director general of Russia’s state-controlled Rossiyua Segodnya media conglomerate, “Objectivity is a myth which is proposed and imposed on us.” Today, thanks to the Internet and social media, the manipulation of our perception of the world is taking place on previously unimaginable scales of time, space and intentionality. Cognitive hacks and cognitive risks are part of a new lexicon of risks we must learn. Cognitive risks are commonly referred to as heuristic behavior. Heuristics is any approach to problem solving or self-discovery that employs a practical method that is not guaranteed to be optimal, perfect, or rational, but is nevertheless sufficient for reaching an immediate, short-term goal or approximation. Where finding an optimal solution is impossible or impractical, heuristic methods can be used to speed up the process of finding a satisfactory solution. Heuristics can be mental shortcuts that ease the cognitive load of making a decision. Large swaths of the economy have already misjudged the potential, and the threats, of digital transformation. The questions explored in this paper and the subsequent book, Cognitive Risks, that will follow is why? Why do some leaders see opportunity when others only see problems? Why has the retail industry been blindsided by firms like Amazon, Google, Apple, and so many others? The research for the book will also include an exhaustive review of how applied behavioral science can be used to enhance organizational performance, risk management and cybersecurity in all organizations. Few, if any studies to date, have combined a multidisciplinary approach to enterprise risk management and organizational performance. This will be the first study that builds on a 2020 study of advancements in enterprise risk and board governance to provide a comprehensive analysis of methods and processes to apply behavioral science to address a range of risks facing organizations as they transition to a digital economy.

Behavioral and social science in support of SARS-CoV-2 vaccination: National Institutes of Health initiatives.

Control of the COVID-19 pandemic relies heavily on behavioral mitigation strategies such as physical distancing, hand washing and mask wearing. Even with the availability of SARS-CoV-2 vaccines, the extraordinary effort to distribute the vaccines must be paired with continued adherence to behavioral recommendations as well as vaccine confidence. To facilitate rapid and equitable uptake of the vaccines, there is a need for responsive, trustworthy, and evidence-informed communication about vaccination, enhanced trust in science, and engaging populations disproportionately affected by the pandemic. Efforts to address vaccine hesitancy and increase vaccine confidence will address the emerging gaps between vaccine availability and actual vaccination. Although these gaps are attributable, in part, to challenges with logistics and access, social and behavioral drivers of vaccination decision making also have a significant role in vaccination uptake. As federal, state, and local health and public health agencies coordinate vaccine dissemination, there will be a continuous need to adapt to an evolving landscape of SARS-CoV-2 vaccines, new scientific information, and the spread of COVID-19- and vaccine-related misinformation. Facilitating widespread vaccination and maintaining a focus on equity requires thoughtful and compassionate approaches to reach and address the needs of those who are disproportionately affected by the pandemic such as underserved, vulnerable, and racial/ethnic minority populations. This commentary focuses on several National Institutes of Health initiatives that are supporting behavioral and social science research to address SARS-CoV-2 vaccine communication and increase the uptake of vaccination. We conclude with implications for future research.

"The Master's Tools Will Never Dismantle the Master's House": Ten Critical Lessons for Black and Other Health Equity Researchers of Color.

Audre Lorde's provocative admonishment, "The master's tools will never dismantle the master's house," is a fitting caution for Black and other scholars of color who seek to use traditional social and behavioral sciences research as a tool to achieve social justice and health equity in Black communities. Invoking Lorde, I use the "master's tools" as a metaphor for conventional theoretical and methodological approaches and "dismantle the master's house" as a metaphor for intersectional structures and systems of oppression that created and sustain health inequity in U.S. Black communities. Using a blend of personal narrative and insights from a 23-year career as a Black critical health equity researcher, I share 10 critical lessons for Black and other health equity researchers of color. And because the personal typically reflects the structural, I recommend system and structural-level mitigation strategies for departments, universities, extramural institutions (e.g., journals), and the government, for each critical lesson.

Critical Qualitative Inquiry in China Studies: Introduction to the Special Issue.

This Special Issue aims to advance critical qualitative inquiry in China studies and contribute to a vibrant, inclusive global community. It builds upon debates and efforts in the behavioral and social sciences among area specialists in two eras: researchers in Taiwan, Hong Kong, and the diaspora in the 1980s who sought to sinologize behavioral and social sciences, and sociologists in China in the 2000s who are seeking to indigenize these fields. The Issue takes a two-pronged approach toward advancing critical reflection in knowledge production: (a) it aspires to diminish the current influence of Western and positivistic paradigms on behavioral and social sciences research; (b) it seeks to challenge discursive hegemonic influences to create and sustain space for critical qualitative inquiry. The Issue traverses disciplinary boundaries between history and behavioral and social sciences within China Studies. It opens dialogue with the non-area specialists who are the primary audience of the Qualitative Inquiry.

"Psyosphere": A GPS Data-Analysing Tool for the Behavioural Sciences.

Positioning technologies, such as GPS are widespread in society but are used only sparingly in behavioural science research, e.g., because processing positioning technology data can be cumbersome. The current work attempts to unlock positioning technology potential for behavioural science studies by developing and testing a research tool to analyse GPS tracks. This tool—psyosphere—is published as open-source software, and aims to extract behaviours from GPSs data that are more germane to behavioural research. Two field experiments were conducted to test application of the research tool. During these experiments, participants played a smuggling game, thereby either smuggling tokens representing illicit material past border guards or not. Results suggested that participants varied widely in variables, such as course and speed variability and distance from team members in response to the presence of border guards. Subsequent analyses showed that some of these GPS-derived behavioural variables could be linked to self-reported mental states, such as fear. Although more work needs to be done, the current study demonstrates that psyosphere may enable researchers to conduct behavioural experiments with positioning technology, outside of a laboratory setting.

Implementing Improvements: Opportunities to Integrate Quality Improvement and Implementation Science.

In hospitals, improvers and implementers use quality improvement science (QIS) and less frequently implementation research (IR) to improve health care and health outcomes. Narrowly defined quality improvement (QI) guided by QIS focuses on transforming systems of care to improve health care quality and delivery and IR focuses on developing approaches to close the gap between what is known (research findings) and what is practiced (by clinicians). However, QI regularly involves implementing evidence and IR consistently addresses organizational and setting-level factors. The disciplines share a common end goal, namely, to improve health outcomes, and work to understand and change the same actors in the same settings often encountering and addressing the same challenges. QIS has its origins in industry and IR in behavioral science and health services research. Despite overlap in purpose, the 2 sciences have evolved separately. Thought leaders in QIS and IR have argued the need for improved collaboration between the disciplines. The Veterans Health Administration's Quality Enhancement Research Initiative has successfully employed QIS methods to implement evidence-based practices more rapidly into clinical practice, but similar formal collaborations between QIS and IR are not widespread in other health care systems. Acute care teams are well positioned to improve care delivery and implement the latest evidence. We provide an overview of QIS and IR; examine the key characteristics of QIS and IR, including strengths and limitations of each discipline; and present specific recommendations for integration and collaboration between the 2 approaches to improve the impact of QI and implementation efforts in the hospital setting.

Report of the ACBS Task Force on the strategies and tactics of contextual behavioral science research

Throughout its history the strategy and tactics of contextual behavioral science (CBS) research have had distinctive features as compared to traditional behavioral science approaches. Continued progress in CBS research can be facilitated by greater clarity about how its strategy and tactics can be brought to bear on current challenges. The present white paper is the result of a 2 1/2-year long process designed to foster consensus among representative producers and consumers of CBS research about the best strategic pathway forward. The Task Force agreed that CBS research should be multilevel, process-based, multidimensional, prosocial, and pragmatic, and provided 33 recommendations to the CBS community arranged across these characteristics. In effect, this report provides a detailed research agenda designed to maximize the impact of CBS as a field. Scientists and practitioners are encouraged to mount this ambitious agenda.

The PhenX Toolkit: Establishing Standard Measures for COVID-19 Research.

The PhenX (consensus measures for Phenotypes and eXposures) Toolkit (https://www.phenxtoolkit.org/) is a publicly available, web‐based catalog of recommended, well‐established measurement protocols of phenotypes and exposures. The goal of PhenX is to facilitate the use of standard measures, enhance data interoperability, and promote collaborative and translational research. PhenX is driven by the scientific community and historically has depended on working groups of experts to recommend measures for release in the PhenX Toolkit. The urgent need for recommended, standard measures for COVID‐19 research triggered the development of a “rapid release” process for releasing new content in the PhenX Toolkit. Initially, PhenX collaborated with the National Institutes of Health (NIH) Office of Behavioral and Social Sciences Research, the National Human Genome Research Institute, and the NIH Disaster Research Response (DR2) program to create a library of COVID‐19 measurement protocols. With additional support from NIH, PhenX adapted crowdsourcing techniques to accelerate prioritization and recommendation of protocols for release in the PhenX Toolkit. Prioritized COVID‐19‐specific protocols were used to anchor and define specialty collections of protocols that were subject to review and approval by the PhenX Steering Committee. In addition to the COVID‐19‐specific protocols, the specialty collections include existing, well‐established PhenX protocols, use of which will further enhance data interoperability and cross‐study analysis. The COVID‐19 specialty collections are Behaviors and Risks; Ethnicity, Race and Demographics; History, Treatment and Outcomes; Information Resources; Psychosocial and Mental Health; and Socioeconomic. The development and usage of PhenX COVID‐19 specialty collections are described in this article. © 2021 The Authors. Basic Protocol: Selecting COVID‐19 protocols

Milestones and signposts in the science of investigative interviewing

SummaryConstructive changes in the practice of investigative interviewing have emerged as a direct result of an unprecedented and robust collaboration between behavioral science researchers and professionals in the field. At the same time, an ever‐increasing number of experienced practitioners have shown a willingness to adopt science‐based methods in the course of their work. This has highlighted the unique role science plays in this context. Empirical research has been integral to the process of weeding out the pseudoscience that continues to shape training in many corners, while the feedback practitioners can offer scientists as strategies are examined in field conditions helps to refine and focus the research as it moves from basic to applied. Not to be overlooked, science has also been irreplaceable in both the critical examination of past practices (especially as it involves high performers) and in charting the path toward future practices that can supplement and even replace current methodologies.

NIH Leaders to Discuss How Pandemic Is Changing Research

NIH Leaders to Discuss How Pandemic Is Changing Research

Negligible interaction test for continuous predictors

Behavioral science researchers are often interested in whether there is negligible interaction among continuous predictors of an outcome variable. For example, a researcher might be interested in demonstrating that the effect of perfectionism on depression is very consistent across age. In this case, the researcher is interested in assessing whether the interaction between the predictors is too small to be meaningful. Unfortunately, most researchers address the above research question using a traditional association-based null hypothesis test (e.g. regression) where their goal is to fail to reject the null hypothesis of no interaction. Common problems with traditional tests are their sensitivity to sample size and their opposite (and hence inappropriate) hypothesis setup for finding a negligible interaction effect. In this study, we investigated a method for testing for negligible interaction between continuous predictors using unstandardized and standardized regression-based models and equivalence testing. A Monte Carlo study provides evidence for the effectiveness of the equivalence-based test relative to traditional approaches.

On the Relationship Between Item Stem Formulation and Criterion Validity of Multiple-Component Measuring Instruments.

The possible dependency of criterion validity on item formulation in a multicomponent measuring instrument is examined. The discussion is concerned with evaluation of the differences in criterion validity between two or more groups (populations/subpopulations) that have been administered instruments with items having differently formulated item stems. The case of complex item stems involving two stimuli description sentences (double-barreled questions) is thereby compared with the setting where items contained a single sentence. Using empirical data, the latent criterion validity differences are evaluated across three groups that are randomly assigned to conditions characterized by item stems with differing number of stimuli. The results indicate that validity of an instrument can be influenced by the specific way item stem is formulated. Implications for empirical educational, behavioral, and social science research are discussed.

The Promise and Peril of Automated Negotiators

Innovations in artificial intelligence are enabling a new class of applications that can negotiate with people through chat or spoken language. Developed in close collaboration with behavioral science research, these algorithms can detect, mimic, and leverage human psychology, enabling them to undertake such functions as the detection of common mistakes made by novice negotiators. These algorithms can simulate the cognitive processes that shape human negotiations and make use of these models to influence negotiated outcomes. This article reviews some of the scientific advances enabling this technology and discusses how it is being used to advance negotiation research, teaching, and practice.