In this study, we focus on European immigration attitudes in the perspective of deservingness perceptions and political orientation. Our data are conducted from the European Social Survey (2016) database, which contains 21 European countries and 39,400 participants. We used the multilevel method to study the relationship between immigration attitudes and deservingness perceptions. The results demonstrate that the more negative deservingness perceptions are, the more negative immigration attitudes more likely become. Moreover, country-level political orientation moderate the relationship between immigration attitudes and deservingness perceptions. Deservingness perceptions have a greater role in explaining immigration attitudes on countries with political left-context, which gives us a new perspective to understand the public debates about immigration.

Most scholars agree that candidates’ use of negative campaigning is based on rational considerations, i.e., weighing likely benefits against potential costs. We argue that this perspective is far too narrow and outline the elements of a comprehensive model on the use of negative campaign communication that builds on personality traits, values, social norms, and attitudes toward negative campaigning as complementary mechanisms to classical rational choice theory. We test our theoretical assumptions using candidate surveys for twelve state elections in Germany with more than 3,100 candidates. Our results strongly suggest that negative campaigning goes beyond rational considerations. Although benefit–cost calculations are the primary driver of the decision to attack the opponent, other factors are also important and enhance our understanding of why candidates choose to engage in negative campaign communication. Our findings have important implications for research on candidate attack behavior.

Changing human behaviours is a key facet of addressing global environmental issues. There are many factors (i.e. determinants) that could influence whether an individual engages in pro-environmental behaviour, and understanding these determinants can improve efforts to protect and restore the natural environment. However, despite published criticism of poor survey design, there is little practical guidance on how to capture these determinants accurately in closed-answer surveys (those with predefined answer options). A recent literature review summarized behavioural determinants of pro-environmental behaviour. We build on this by providing practical insights into how 17 key pro-environmental behavioural determinants can be measured through closed-answer surveys. We reviewed 177 papers published during 2013–2023 that met the criteria for inclusion. These papers captured 624 measurements of the 17 determinants. We found seven types of question formats used, including scales (Likert scales, semantic scales and a pictorial scale), multiple-choice questions (where respondents could select either one or more answer options), binary questions and ranking questions. We then synthesized design considerations both specifically for each format and more broadly across surveys. These considerations included using validated measures, reducing cognitive burden and biases (e.g. social desirability bias, order effects, recall bias), selecting the question format (e.g. different formats of multiple-choice or binary questions) and using best practices for scale questions. The insights collected through this review provide practical advice for developing closed-answer surveys that robustly and usefully measure key determinants of pro-environmental behaviour.

With climate change, the geographic distribution of some VBDs has expanded, highlighting the need for adaptation, and managing the risks associated with emergence in new areas. We conducted a questionnaire survey on the knowledge, attitudes, and practices (KAP) about vector-borne diseases (VBDs) among sample of Finnish residents. The questions were scored and the level of KAP was determined based on scoring as poor, fair, good, or excellent. Binary logistic regression analysis was used to evaluate the associations of different KAP levels with sex, age, education, and possible previous VPD infection. We received 491/1995 (25%) responses across the country and detected generally good knowledge, but only fair practices towards VBDs. Sex and age of the respondents were most often significantly associated with the level of KAP (P > 0.05). Despite the generally good knowledge, we detected major gaps, especially regarding the distinction of tick-borne encephalitis and Lyme borreliosis (LB), risk of disease, and protective measures. Additionally, many respondents thought the vaccination protects against LB or tick bites. This calls for awareness raising on disease risk and prevention measures. With increasing cases and the effects of climate change, surveillance of VBDs communication to the general public should be strengthened.

This paper generalizes the p* class of models for social network data to predict individual-level attributes from network ties. The p* model for social networks permits the modeling of social relationships in terms of particular local relational or network configurations. In this paper we present methods for modeling attribute measures in terms of network ties, and so construct p* models for the patterns of social influence within a network. Attribute variables are included in a directed dependence graph and the Hammersley-Clifford theorem is employed to derive probability models whose parameters can be estimated using maximum pseudo-likelihood. The models are compared to existing network effects models. They can be interpreted in terms of public or private social influence phenomena within groups. The models are illustrated by an empirical example involving a training course, with trainees' reactions to aspects of the course found to relate to those of their network partners.

If stimulus responses are linearly related to squared distances between stimulus scale values and person scores along a latent continuum, (a) the stimulus × stimulus correlation matrix will display a simplex-like pattern, (b) the signs of first-order partial correlations can be specified in an empirically testable manner, and (c) the variables will have a semicircular, two-factor structure. Along the semicircle, variables will be ordered by their positions on the latent dimension. The above results suggest procedures for examining the appropriateness of the model and procedures for ordering the stimuli. Applications to developmental and attitudinal data are discussed.

Improving community attitudes and behaviours is core to improving inclusion for people with disability. To identify ways to achieve such change, we analysed data from qualitative interviews with sixty-one expert stakeholders in Australia, informed by our preceding literature review on effective interventions. We identified five themes describing factors with the potential to change attitudes and behaviours to improve inclusion and reduce discrimination: ensuring people with disability have active presence across all life domains; leadership by people with disability, together with organisational and governmental leadership that values the diverse contribution of people with disability; a holistic approach to policy and interventions that targets multiple levels of change; long-term and adequately resourced initiatives to achieve structural and sustained change; and commitment to measuring and monitoring change interventions, to inform decisions and maintain accountability.

Many governments employed mandates for COVID-19 vaccines, imposing consequences upon unvaccinated people. Attitudes towards these policies have generally been positive, but little is known about how discourses around them changed as the characteristics of the disease and the vaccinations evolved. Western Australia (WA) employed sweeping COVID-19 vaccine mandates for employment and public spaces whilst the state was closed off from the rest of the country and world, and mostly with no COVID-19 in the community. This article analyses WA public attitudes during the mandate policy lifecycle from speculative to real. Qualitative interview data from 151 adults were analysed in NVivo 20 via a novel chronological analysis anchored in key policy phases: no vaccine mandates, key worker vaccine mandates, vaccine mandates covering 75% of the workforce and public space mandates. Participants justified mandates as essential for border reopening and, less frequently, for goals such as protecting the health system. However, public discourse focusing on ‘getting coverage rates up’ may prove counter-productive for building support for vaccination; governments should reinforce end goals in public messaging (reducing suffering and saving lives) because such messaging is likely to be more meaningful to vaccination behaviour in the longer term.

Americans generally celebrate the abstract principle of diversity, but research suggests that they have a comparatively lower (1) favorability towards policies that promote diversity and (2) sense of personal closeness with others from diverse backgrounds. The current study analyzes nationally representative survey data to assess such “principle-policy gaps” and “principle-personal gaps” in Americans’ diversity attitudes. We find that these attitudinal gaps indeed exist and are substantial in the general population. We also consider how individual-level factors relate to these attitudinal gaps. Following common findings in previous research, we find that participant racial identity and political partisanship have statistically significant relationships with these attitudinal gaps. But our overall findings illustrate that principle-policy gaps and principle-personal gaps in diversity attitudes are fairly substantial and prevalent across Americans who vary by race, politics, and several other individual-level factors. We consider our findings in the current social and political context, and we discuss directions for future inquiry.