Annual Review of Psychology - Volume 67, 2016

Materialism comprises a set of values and goals focused on wealth, possessions, image, and status. These aims are a fundamental aspect of the human value/goal system, standing in relative conflict with aims concerning the well-being of others, as well as one's own personal and spiritual growth. Substantial evidence shows that people who place a relatively high priority on materialistic values/goals consume more products and incur more debt, have lower-quality interpersonal relationships, act in more ecologically destructive ways, have adverse work and educational motivation, and report lower personal and physical well-being. Experimentally activating materialistic aims causes similar outcomes. Given these ills, researchers have investigated means of decreasing people's materialism. Successful interventions encourage intrinsic/self-transcendent values/goals, increase felt personal security, and/or block materialistic messages from the environment. These interventions would likely be more effective if policies were also adopted that diminished contemporary culture's focus on consumption, profit, and economic growth.

Research on the work-family interface began in the 1960s and has grown exponentially ever since. This vast amount of research, however, has had relatively little impact on workplace practice, and work-family conflict is at an all-time high. We review the work-family research to date and propose that a shift of attention is required, away from the individual experience of work and family and toward understanding how identity and status are defined at work. Several factors enshrine cherished identities around current workplace norms. The work devotion schema demands that those who are truly committed to their work will make it the central or sole focus of their lives, without family demands to distract them. Importantly, the work devotion schema underwrites valued class and gender identities: Work devotion is a key way of enacting elite class status and functions as the measure of a man—the longer the work hours and higher the demand for his attention, the better. Advocating change in the way work is done and life is lived meets resistance because it places these cherished identities at risk. Resistance to these identity threats keeps current workplace norms in place. This is why even the business case—which shows that current practices are not economically efficient—fails to persuade organizations to enact change. What is needed now is sustained attention to the implicit psychological infrastructure that cements the mismatch between today's workplace and today's workforce.

The present review organizes the vocational psychology literature published between 2007 and 2014 into three overarching themes: Promoting (a) agency in career development, (b) equity in the work force, and (c) well-being in work and educational settings. Research on career adaptability, self-efficacy beliefs, and work volition is reviewed in the agency section, with the goal of delineating variables that promote or constrain the exercise of personal agency in academic and occupational pursuits. The equity theme covers research on social class and race/ethnicity in career development; entry and retention of women and people of color in science, technology, engineering, and math (STEM) fields; and the career service needs of survivors of domestic violence and of criminal offenders. The goal was to explore how greater equity in the work force could be promoted for these groups. In the well-being section, we review research on hedonic (work, educational, and life satisfaction) and eudaimonic (career calling, meaning, engagement, and commitment) variables, with the goal of understanding how well-being might be promoted at school and at work. Future research needs related to each theme are also discussed.

Studies of the developmental origins of health and disease (DOHaD) often rely on prospective observational data, from which associations between developmental exposures and outcomes in later life can be identified. Typically, conventional statistical methods are used in an attempt to mitigate problems inherent in observational data, such as confounding and reverse causality, but these have serious limitations. In this review, we discuss a variety of methods that are increasingly being used in observational epidemiological studies to help strengthen causal inference. These methods include negative controls, cross-contextual designs, instrumental variables (including Mendelian randomization), family-based studies, and natural experiments. Applications within the DOHaD framework, and in relation to behavioral, psychiatric, and psychological domains, are considered, and the considerable potential for expanding the use of these methods is outlined.

A major goal of cognitive neuroscience is to delineate how brain systems give rise to mental function. Here we review the increasingly large role informatics-driven approaches are playing in such efforts. We begin by reviewing a number of challenges conventional neuroimaging approaches face in trying to delineate brain-cognition mappings—for example, the difficulty in establishing the specificity of postulated associations. Next, we demonstrate how these limitations can potentially be overcome using complementary approaches that emphasize large-scale analysis—including meta-analytic methods that synthesize hundreds or thousands of studies at a time; latent-variable approaches that seek to extract structure from data in a bottom-up manner; and predictive modeling approaches capable of quantitatively inferring mental states from patterns of brain activity. We highlight the underappreciated but critical role for formal cognitive ontologies in helping to clarify, refine, and test theories of brain and cognitive function. Finally, we conclude with a speculative discussion of what future informatics developments may hold for cognitive neuroscience.

The development of new technologies for mapping structural and functional brain connectivity has led to the creation of comprehensive network maps of neuronal circuits and systems. The architecture of these brain networks can be examined and analyzed with a large variety of graph theory tools. Methods for detecting modules, or network communities, are of particular interest because they uncover major building blocks or subnetworks that are particularly densely connected, often corresponding to specialized functional components. A large number of methods for community detection have become available and are now widely applied in network neuroscience. This article first surveys a number of these methods, with an emphasis on their advantages and shortcomings; then it summarizes major findings on the existence of modules in both structural and functional brain networks and briefly considers their potential functional roles in brain evolution, wiring minimization, and the emergence of functional specialization and complex dynamics.

Sequential sampling models assume that people make speeded decisions by gradually accumulating noisy information until a threshold of evidence is reached. In cognitive science, one such model—the diffusion decision model—is now regularly used to decompose task performance into underlying processes such as the quality of information processing, response caution, and a priori bias. In the cognitive neurosciences, the diffusion decision model has recently been adopted as a quantitative tool to study the neural basis of decision making under time pressure. We present a selective overview of several recent applications and extensions of the diffusion decision model in the cognitive neurosciences.

Evidence-based practice (EBP) is an approach used in numerous professions that focuses attention on evidence quality in decision making and action. We review research on EBP implementation, identifying critical underlying psychological factors facilitating and impeding its use. In describing EBP and the forms of evidence it employs, we highlight the challenges individuals face in appraising evidence quality, particularly that of their personal experience. We next describe critical EBP competencies and the challenges underlying their acquisition: foundational competencies of critical thinking and domain knowledge, and functional competencies such as question formulation, evidence search and appraisal, and outcome evaluation. We then review research on EBP implementation across diverse fields from medicine to management and organize findings around three key contributors to EBP: practitioner ability, motivation, and opportunity to practice (AMO). Throughout, important links between psychology and EBP are highlighted, along with the contributions psychological research can make to further EBP development and implementation.

Scientific misconduct has been defined as fabrication, falsification, and plagiarism. Scientific misconduct has occurred throughout the history of science. The US government began to take systematic interest in such misconduct in the 1980s. Since then, a number of studies have examined how frequently individual scientists have observed scientific misconduct or were involved in it. Although the studies vary considerably in their methodology and in the nature and size of their samples, in most studies at least 10% of the scientists sampled reported having observed scientific misconduct. In addition to studies of the incidence of scientific misconduct, this review considers the recent increase in paper retractions, the role of social media in scientific ethics, several instructional examples of egregious scientific misconduct, and potential methods to reduce research misconduct.

Findings in behavioral science, including psychology, have influenced policies and reforms in many nations. Choice architecture can affect outcomes even if material incentives are not involved. In some contexts, default rules, simplification, and social norms have had even larger effects than significant economic incentives. Psychological research is helping to inform initiatives in savings, finance, highway safety, consumer protection, energy, climate change, obesity, education, poverty, development, crime, corruption, health, and the environment. No nation has yet created a council of psychological advisers, but the role of behavioral research in policy domains is likely to grow in the coming years, especially in light of the mounting interest in promoting ease and simplification (“navigability”); in increasing effectiveness, economic growth, and competitiveness; and in providing low-cost, choice-preserving approaches.