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Survey has been a widely used data collection method for a variety of purposes in educational research. Although response styles have the potential to contaminate survey results, educational researchers often do little to control for such negative effects. Under discussion are five common response issues, their impact on survey data, and the methods that may be used to minimize the negative impact of these response issues on survey data. The five response issues in question are acquiescence (including disacquiescence), careless responding, extreme response, social desirability, and item-keying effect. Acquiescence (disacquiescence) refers to a respondent’s general tendency to agree (or disagree) with an item regardless of its content. This response style can distort item and construct correlations, compromising the results of factor analytic and correlational findings. Careless responding refers to a respondent’s tendency to pay insufficient attention to item content before responding, which can also lead to a biased estimation of relationships. Extreme response refers to the tendency of selecting extreme response options (e.g., strongly agree or strongly disagree) over middle options (e.g., neutral). Social desirability refers to a respondent’s tendency to rate him- or herself in an overly positive light. Finally, item-keying effect refers to a respondent’s differential responses to regular-keyed and reverse-keyed items. This effect often creates the illusion that items with opposite keying directions measure distinct constructs even when they may not. A growing amount of research has been done on how to control for the negative impact of these response styles, although the research may be limited and uneven for different response issues. A variety of approaches and methods exist for handling these response issues in research practice. Different response issues may require considerations at different stages of research. For example, effective handling of acquiescence response may require steps in both survey construction (e.g., including a hidden measure of acquiescence) and survey data analytic treatment (partial correlation technique), while controlling for item-keying effect may require more sophisticated modeling techniques (e.g., multitrait-multimethod confirmatory factor analysis).

Agential realism presents a posthuman onto-epistemology that facilitates nuanced ways of engaging with the production of gender. Some key ways in which cisnormativities privilege particular ways of doing gender premise the need for a nonessentializing means of conceptualizing gender. Agential realism is situated among a range of research and educational approaches that are already engaged in this project. The theory makes a novel contribution to this project via its treatment of matter and discursivity as immanently entangled, which fundamentally reconfigures thinking around how gender may manifest. Definitions and examples of the use of Baradian terms, including phenomena, apparatuses, intra-action, ethico-onto-epistemology, spacetimemattering, and diffraction, demonstrate agential realism’s capacity to expand gender theory. The approach becomes a means of simultaneously engaging with less conventional ways in which gender is already experienced, as well as potentiating more expansive possibilities for gendered becomings. As evidence of its impact, research that has employed agential realist thinking in relation to gender in and beyond educational settings is drawn on to further delineate the field. This includes four subsections—early childhood gender education, secondary school gender and education, tertiary educational genderings, and extracurricular genderings—each of which draws on a range of circumstances and responses to gender. These examples embody leading scholarship at the juncture of agential realism and gender theory, which already offer a diversity of considerations that otherwise would not have been possible.

Communicating the impacts of climate change and possible adaptive responses is a relatively recent branch of the larger endeavor of climate change communication. This recent emergence, in large part, is driven by the fact that the impacts and policy/planning/practice responses have only recently emerged in more widespread public consciousness and discourse, and thus in scholarly treatment. This article will first describe the critical and precarious moment of when impacts and adaptation communication becomes important; it will then summarize proposed approaches to do so effectively; and discuss key challenges confronting climate change communication going forward. These challenges may well be unique in the field of communication, in that they either uniquely combine previously encountered difficulties into novel complexities or are truly unprecedented. To date, scholarship and experience in climate, environmental, or risk communication provide little guidance on how to meet these challenges of communicating effectively with diverse publics and decision makers in the face of long-term degradation of the life support system of humanity. The article will conclude with an attempt to offer research and practice directions, fit at least to serve as appropriately humble attitudes toward understanding and engaging fellow humans around the profound risks of an utterly uncertain and far-from-assured future.

Do the activities of social movements (e.g., public protest, shareholder activism, boycotts, and sabotage) impact businesses, and if so, how do they impact businesses? When confronted by activist demands, how do firms respond, and does this response vary depending on who the activists are and what their relationship is to the firm? Answering these questions is critical for businesses and activists alike, as we move into an era of heightened activism directed at firms. A growing area of research that is situated at the intersection of economic and political sociology, social movement studies, history, and organizational theory, tackles these questions, in an increasingly methodologically sophisticated and nuanced manner. As a result, a number of important articles and books have been published, and several high-profile, interdisciplinary conferences have been held. This body of research shows that social movements have both direct and indirect effects on businesses, and that these effects are amplified by media attention to activism. For example, we know that activism impacts the financial performance of firms, as well as their reputation. And, we know that the activities of social movements have consequences on firm policies and practices. In turn, businesses have developed a varied repertoire of ways to respond to activist demands. While some businesses ignore activists, others decide to retaliate against activists. Increasingly, businesses concede to the demands of activists in material ways by changing policies and practices that are criticized, while others devise symbolic ways to respond to activist demands, thereby preserving their reputation without necessarily changing their activities.

Managing complexity requires appropriate governance structures and effective coordination, communication, and action within the incident response network. Governance structures serve as a framework to understand the interrelated relationships that exist during a crisis. Governance structures can be classified as either hierarchical and managed, autonomous and networked, or a hybrid of hierarchies and networks, and represent a continuum of crisis response systems. As such, effective crisis management is first a function of a leader’s ability to leverage hierarchical, hybrid, and network forms of crisis management governance to manage complex disasters. Second, it hinges on the proficiency of the disaster response network in managing distributed information, coordinating operations, and collaborating among jurisdictions. Combining these two points results in high-performing disaster response networks that operate fluidly between governing structures and across jurisdictions, thus increasing our national capacity to manage complex disasters.

Real-time response measurement (RTR), sometimes also called continuous response measurement (CRM), is a computerized survey tool that continuously measures short-time perceptions while political audiences are exposed to campaign messages by using electronic input devices. Combining RTR data with information about the message content allows for tracing back viewers’ impressions to single arguments or nonverbal signals of a speaker and, therefore, showing which kinds of arguments or nonverbal signals are most persuasive. In the context of applied political communication research, RTR is used by political consultants to develop persuasive campaign messages and prepare candidates for participating in televised debates. In addition, TV networks use RTR to identify crucial moments of televised debates and sometimes even display RTR data during their live debate broadcasts. In academic research most RTR studies deal with the persuasive effects of televised political ads and especially televised debates, sometimes including hundreds of participants rating candidates’ performances during live debate broadcasts. In order to capture features of human information processing, RTR measurement is combined with other data sources like content analysis, traditional survey questionnaires, qualitative focus group data, or psychophysiological data. Those studies answer various questions on the effects of campaign communication including which elements of verbal and nonverbal communication explain short-term perceptions of campaign messages, which predispositions influence voters’ short-term perceptions of campaign messages, and the extent to which voters’ opinions are explained by short-term perceptions versus long-term predispositions. In several such studies, RTR measurement has proven to be reliable and valid; it appears to be one of the most promising research tools for future studies on the effects of campaign communication.

Health consequences and key communication processes that emerge during disasters vary by type of disaster. The types of disasters that researchers have most investigated are rapid-onset natural disasters and slowly-evolving human-caused disasters. Three types of communication processes occur in disasters that have implications for health. The first set of communication processes involves the social dynamics of affected communities. Communities that experience natural disasters tend to exhibit an emergent altruistic community; community members join together to support each other in the immediate aftermath of the disaster. In contrast, community conflict is the hallmark of slowly-evolving environmental disasters. That conflict triggers a cascade of social dynamics that infests close personal relationships with interpersonal conflict, stigmatization of victims and advocates, and pressures to avoid open communication (i.e., social constraints) regarding the disaster and its traumatic effects. These dynamics contribute to elevated mental health problems. The second set of communication processes focuses specifically on social support. Supportive communication processes and networks are important resources for coping with ongoing disasters and for mitigating their longer-term mental health effects. Due to differences in community-level social dynamics, patterns of social support evolve differently in natural versus human-caused disasters. Natural disasters are typified by immediate intra-community social support. Community members support each other in the immediate aftermath of the disaster. Ultimately this social support is overwhelmed by the disaster’s needs and deteriorates. As a result, communities are largely dependent on internal and external institutional sources to meet community members’ needs. In contrast, slowly-evolving human-caused disasters tend to exhibit the emergence of corrosive communities. In these communities, those most affected by the disasters (those whose health is harmed or who claim other harmful or potentially harmful effects, and those who function as advocates) tend to experience failed or diminished social support. Whereas the community may previously have been altruistic, mutual help either fails to emerge or is withdrawn in the disaster context. Failed social support contributes to the relatively worse mental health consequences of slowly-evolving human-caused disasters when compared to natural disasters. The third set of communication processes relate to institutional responses in disasters. In natural disasters, institutional communication is driven largely by widely disseminated and applied models that are intended to prevent harm and to provide resources to address harm and to reduce further negative consequences to health and well-being. Institutions and their agencies provide resources immediately following the disaster to meet basic human needs and, thereafter, to restore normalcy to the community and thereby protect community members’ physical and mental health. These efforts assume that natural disasters unfold in predictable stages (i.e., preparedness, warning, post-disaster, recovery) and that institutions’ responses should vary according to the stage of the disaster. In contrast, no such response models exist for slowly-evolving human-caused disasters. Moreover, community members experiencing such disasters often encounter what they perceive as institutional failures by both community-based and external responding institutions. Often community institutions (e.g., business, government) are perceived as causing the disaster and/or minimizing it, if not denying its existence or covering it up. As a result, communities experiencing this class of disasters tend to develop substantial distrust for local and responding institutions.

Rather than being a slow, deliberative, and fully conscious process, political thinking is steeped in automaticity: that is, it is fast, relatively effortless, and often unconscious. Political and social psychologists have made great strides in measuring different components of this automaticity while pinpointing its influence on different types of citizens under a variety of social and political circumstances. There are manifold ways through which automaticity seeps into political cognition by focusing on various important domains of political decision-making, including intergroup relations, identity and information processing, and candidate evaluation. Multiple research frontiers in political science exist where automaticity can help break new conceptual and theoretical ground as it relates to people’s thinking, judgment, and evaluation of politics.

As human tragedies—such as armed conflicts, humanitarian crises, crimes against humanity, and genocide—continue to occur, early warning and conflict prevention are essential comprehensive subjects in any crisis and conflict prevention architecture. Early warning refers to the collection and analysis of information about potential crisis and conflict situations for the purpose of preventing the onset and escalation of such situations, preferably through appropriate preventive response options. Indeed, qualitative approaches to early warning and prevention have produced an impressive list of preventive mechanisms and tools, ranging from non-military—such as political and economic inducements, fact-finding, dialogue, and negotiations—to military ones, such as preventive missions. Meanwhile, a more theoretical and empirically guided approach has made extensive use of quantitative methods to create data-based predictive models for assessing risks of complex humanitarian crises, political instability and state failure, intrastate and ethnopolitical conflicts, and genocide and politicide, as well as other massive human rights violations. There are three types of analysis of risk assessment: the first makes use of structural indicators, the second of sequential models, and the third of inductive methods. However, there are challenges in early warning and conflict prevention posed by the warning-response gap and the issue of “missed opportunities” to prevent. At present, there is no U.N.-wide coordinated early warning system. Nevertheless, several efforts in establishing operational early warning systems on the level of regional and subregional organizations can be identified.

Obsessive compulsive disorder (OCD) is a debilitating anxiety problem. This article reviews the characteristics, etiology, prevalence, and assessment of OCD and presents information on the efficacy of psychological, pharmacological, and combined treatments for this disorder. Early intervention that includes pharmacological agents (typically SSRIs) as well as behavioral and cognitive-behavioral psychotherapies (particularly exposure and response prevention) is the preferred method of intervening with OCD.

Humankind has always lived with natural hazards and their consequences. While the frequency and intensity of geological processes may have remained relatively stable, population growth and infrastructure development in areas susceptible to experiencing natural hazards has increased societal risk and the losses experienced from hazard activity. Furthermore, increases in weather-related (e.g., hurricanes, wildfires) hazards emanating from climate change will increase risk in some countries and result in others having to deal with natural hazard risk for the first time. Faced with growing and enduring risk, disaster risk reduction (DRR) strategies will play increasingly important roles in facilitating societal sustainability. This article discusses how readiness or preparedness makes an important contribution to comprehensive DRR. Readiness is defined here in terms of those factors that facilitate people’s individual and collective capability to anticipate, cope with, adapt to, and recover from hazard consequences. This article first discusses the need to conceptualize readiness as comprising several functional categories (structural, survival/direct action, psychological, community/capacity building, livelihood and community-agency readiness). Next, the article discusses how the nature and extent of people’s readiness is a function of the interaction between the information available and the personal, family, community and societal factors used to interpret information and support readiness decision-making. The health belief model (HBM), protection motivation theory (PMT), person-relative-to-event (PrE) theory, theory of planned behavior (TPB), critical awareness (CA), protective action decision model (PADM), and community engagement theory (CET) are used to introduce variables that inform people’s readiness decision-making. A need to consider readiness as a developmental process is discussed and identifies how the variables introduced in the above theories play different roles at different stages in the development of comprehensive readiness. Because many societies must learn to coexist with several sources of hazard, an “all-hazards” approach is required to facilitate the capacity of societies and their members to be resilient in the face of the various hazard consequences they may have to contend with. This article discusses research into readiness for the consequences that arise from earthquake, volcanic, flood, hurricane, and tornado hazards. Furthermore, because hazards transcend national and cultural divides, a comprehensive conceptualization of readiness must accommodate a cross-cultural perspective. Issues in the cross-cultural testing of theory is discussed, as is the need for further work into the relationship between readiness and culture-specific beliefs and processes.

Humankind is becoming increasingly dependent on timely flood warnings. Dependence is being driven by an increasing frequency and intensity of heavy rainfall events, a growing number of disruptive and damaging floods, and rising sea levels associated with climate change. At the same time, the population living in flood-risk areas and the value of urban and rural assets exposed to floods are growing rapidly. Flood warnings are an important means of adapting to growing flood risk and learning to live with it by avoiding damage, loss of life, and injury. Such warnings are increasingly being employed in combination with other flood-risk management measures, including large-scale mobile flood barriers and property-level protection measures. Given that lives may well depend on effective flood warnings and appropriate warning responses, it is crucial that the warnings perform satisfactorily, particularly by being accurate, reliable, and timely. A sufficiently long warning lead time to allow precautions to be taken and property and people to be moved out of harm’s way is particularly important. However, flood warnings are heavily dependent on the other components of flood forecasting, warning, and response systems of which they are a central part. These other components—flood detection, flood forecasting, warning communication, and warning response—form a system that is characterized as a chain, each link of which depends on the other links for effective outcomes. Inherent weaknesses exist in chainlike processes and are often the basis of warning underperformance when it occurs. A number of key issues confront those seeking to create and successfully operate flood warning systems, including (1) translating technical flood forecasts into warnings that are readily understandable by the public; (2) taking legal responsibility for warnings and their dissemination; (3) raising flood-risk awareness; (4) designing effective flood warning messages; (5) knowing how best and when to communicate warnings; and (6) addressing uncertainties surrounding flood warnings. Flood warning science brings together a large body of research findings from a particularly wide range of disciplines ranging from hydrometeorological science to social psychology. In recent decades, major advances have been made in forecasting fluvial and coastal floods. Accurately forecasting pluvial events that cause surface-water floods is at the research frontier, with significant progress being made. Over the same time period, impressive advances in a variety of rapid, personalized communication means has transformed the process of flood warning dissemination. Much is now known about the factors that constrain and aid appropriate flood warning responses both at the individual and at organized, flood emergency response levels, and a range of innovations are being applied to improve response effectiveness. Although the uniqueness of each flood and the inherent unpredictability involved in flood events means that sometimes flood warnings may not perform as expected, flood warning science is helping to minimize these occurrences.

Before 9/11, the literature on terrorism and international organizations (IOs) was largely event driven. That is to say, the modest nature of the debate reflected a modest empirical record of IO engagement in responding to terrorism. Moreover, this period saw a correlation between the way states acted against terrorism through IOs and the nature of subsequent debates. Famously, states were (and remain) unable to agree on a definition of “terrorism,” precluding broad-based action through IOs. The findings presented in this literature were furthermore often quite bleak. The immediate post-9/11 period, however, was much more optimistic. This period saw an unprecedented increase in action against terrorism in IOs, primarily through the Security Council resolution 1373. Resolution 1373 elaborates a broad—and mandatory—agenda for counterterrorism cooperation. This resolution has had significant and ongoing consequences for the ways IOs are utilized in the effort to suppress terrorism. Furthermore, this and other IO engagements with terrorism brought about an increase in scholarly interest in the area, even giving rise to a sense of optimism in the literature. Thus, from the pre- to the post-9/11 period, there are elements of both continuity and change in the way scholars have discussed terrorism in the context of IOs.

Consumer fraud is the intentional deception of one or more individuals with the promise of goods, services, or other financial benefits that either never existed, were never going to be provided, or were grossly misrepresented. In contrast to ancient times when consumer fraud and other white-collar crimes were considered to be at least as serious as violence and other street crimes, today’s consumer fraudster tends to be viewed as less dangerous and deserving of harsh sanctioning. Despite several social movements against consumer fraud and a proliferation of popular and scholarly literature on the topic, contemporary U.S. society has maintained a relatively lenient stance toward white-collar crime—a “soft on crime” position that is inconsistent with conservative “tough on crime” approaches that have dominated U.S. penal policy since the 1960s.

Children’s literature is a dynamic entity in its own right that offers its readers many avenues for pleasure, reflection, and emotional engagement. As this article argues, its place in education was established centuries ago, but this association continues today in ways that are both similar and different from its beginnings. The irony of children’s literature is that, while it is ostensibly for children, it relies on adults for its existence. This reciprocal relationship between adult and child is, however, at the heart of education. Drawing on a range of scholars and children’s texts from Australia, Austria, Canada, China, Germany, Sweden, Switzerland, the United Kingdom, and the United States, this discussion canvasses some of the many ways in which children’s literature, and the research that it inspires, can be a productive and valuable asset to education, in that its imaginative storytelling is the means by which it brings the world into the classroom and takes the classroom out into the world.

Contemporary organizations operate under turbulent business conditions and must adapt their strategies to ongoing changes. Sustainable performance can be achieved when the organization engages in interactive processes that link emerging opportunities to forward-looking analytics. But few organizations are able to practice this consistently. Fast processes performed by managers at the frontline respond to ongoing environmental stimuli and slow processes initiated by managers at the center interpret events and reasons about updated strategic actions. Current experiential insights from the fast processes can be aggregated systematically to inform the slow processes of reasoning. When the fast and slow processes interact they can form a dynamic system that adapts organizational activities to changing conditions.