Despite consensus that quality of life (QoL) in later adulthood is multi-dimensional, scholars’ perceptions of the dimensions the construct comprises differ. Under the premise that models and measures of QoL should correspond with lay perspectives to have relevance to the targeted population, we investigated the constituents of QoL in later adulthood as perceived by middle-aged and older laypersons. We fielded a factorial design vignette experiment among 2,544 respondents aged 50+ participating in the Dutch Longitudinal Internet studies for the Social Sciences panel to assess how 11 dimensions identified from four established QoL instruments designed for older people (WHOQOL-OLD, CASP-19, OPQOL, ICECAP-O) influence QoL evaluations. The study extends prior work on lay perspectives on QoL by combining the internal validity of an experiment with the external validity of a true population sample. All dimensions considered significantly impacted the QoL ratings in the expected direction. Enjoyment and social participation had a significantly larger contribution than the other dimensions. Models stratified by age group showed a strong degree of similarity, suggesting a high level of consensus across age groups about the constituents of QoL in later adulthood. The study highlights the necessity of capturing a broad range of dimensions when conceptualizing QoL in later adulthood. Our finding that dimensions that were omitted in selected established instruments still contributed substantially to QoL evaluations arguably implies that these instruments may have suboptimal content validity. The insights gained from this study are important for developing and evaluating policies aimed at improving QoL for the ageing population.

How did the COVID-19 outbreak affect citizens’ democratic preferences? Were the changes persistent or temporary? We track a representative sample of Spanish citizens before, during, and after the pandemic, with eight survey waves from January 2020 to January 2024. We compare democratic attitudes before and after the pandemic with individual fixed effects models. We identify a sharp increase in preferences for technical rather than ideological policy-making at the very onset of the pandemic, as well as significant changes in voters’ preferences for competent rather than honest politicians. These changes are sudden and persistent over 4 years. Using a set of repeated survey experiments, we also document a widespread willingness to sacrifice rights and freedoms to deal with the pandemic as compared to other global threats, such as international terrorism and climate change. But this effect quickly faded over time. Overall, we identify significant changes in democratic attitudes during the pandemic and a durable shift in technocratic preferences that outlived the pandemic, setting the conditions for the long-term legacies of COVID-19 on democracy.

The older population is increasing. As age increases, many changes occur in individuals’ lives, physically, socially, psychologically, and this situation varies from individual to individual. The uncertainty about how this period will pass can cause anxiety in individuals. Therefore, valid and reliable tools are needed to investigate ageing anxiety and potential factors that increase this anxiety, especially in the ageing population. This article presents the results of a Turkish validity and reliability study of the Aging Anxiety Scale for Middle-Aged Adults. The study sample consisted of 293 middle-aged adults. Content validity, face validity and construct validity methods were applied to measure validity. Item analysis, Cronbach’s alpha and test-retest methods were used to measure internal consistency in the reliability analysis. The content validity index of the Aging Anxiety Scale for Middle-Aged Adults was found to be 0.97 based on expert opinion. Model fit indices were calculated as χ2 = 473.583, df = 275, χ2/df = 1.722, CFI = 0.95, GFI = 0.89, IFI = 0.95, TLI = 0.94, RMSEA = 0.05, RMR = 0.06 and SRMR = 0.05. The analysis results indicated that the scale model values were within accepted limits and that the 5-sub-factor and 26-item structure of the scale was confirmed. It was concluded that the Turkish version of the Aging Anxiety Scale for Middle-Aged Adults was a valid and reliable measurement tool to enable Turkish society to determine middle-aged individuals’ ageing concerns.

Nations are revising dietary guidelines to include sustainability recommendations in response to climate change concerns. Given low adherence to current guidelines, consumer inertia is a challenge. A proliferation of nutrition information providers and dietary messages contributes to confusion. All this suggests that health professionals will face considerable obstacles in facilitating a population shift towards sustainable and healthy (SuHe) diets. This review explores the role of nutrition science in shaping dietary behaviour and the challenges of shifting the nutrition narrative to encompass both health and sustainability. Societal transformation towards the ‘asks’ of a SuHe diet will rely on consumer-level transformation of food acquisition, preparation, consumption, storage and disposal behaviours. Acceptance of a higher share of plant-based food and a reduction in animal protein in the diet is likely to provoke disorientations as consumers’ previously unexamined beliefs are challenged. The challenges presented by portion size distortion, protein reduction and replacement, and the role of ultra-processed food are discussed here in terms of sources of confusion. The routes to change involve deeper understanding of responses to disorientations through processes of belief formation and transformation, which are the foundations of subjective knowledge and attitudes, likely mediated through affective factors. In tandem with introducing new potentially disorienting-to-consumers information, health professionals need to consider the environments where this information is presenting and consider how these environments are designed to support action. In doing so, reactance and backlash through belief rejection and behavioural non-adherence could be reduced.

In experimental economics there is a norm against using deception. But precisely what constitutes deception is unclear. While there is a consensus view that providing false information is not permitted, there are also “gray areas” with respect to practices that omit information or are misleading without an explicit lie being told. In this paper, we report the results of a large survey among experimental economists and students concerning various specific gray areas. We find that there is substantial heterogeneity across respondent choices. The data indicate a perception that costs and benefits matter, so that such practices might in fact be appropriate when the topic is important and there is no other way to gather data. Compared to researchers, students have different attitudes about some of the methods in the specific scenarios that we ask about. Few students express awareness of the no-deception policy at their schools. We also briefly discuss some potential alternatives to “gray-area” deception, primarily based on suggestions offered by respondents.

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.