Commonly used components of health risk assessments and outbreak investigations are the proportion of the general population exposed to potential sources, often coming from national surveys collected with one reference period, such as 7 days. However, risk assessors may need this value for a different period of time (e.g. 1 day, a full year, etc.) and outbreak investigators may need a reference period that matches their case questionnaire. Use of these proportions is biased if the reference period does not match what is needed. Three surveys that collected exposure information with more than one reference group were used to fit six models that were developed to estimate the relationship between proportion and reference period length, and thus, convert proportions collected with one reference period to any desired reference period. A practical implementation of the best model is provided in a spreadsheet for health practitioners, such as those working in risk assessment or outbreaks who need to convert proportions to a new reference period. The conversion method can be used in any subject matter across the sciences, where surveys collect the proportion of respondents who experienced an event in a defined reference period.

This article uses survey data to study the impact of democracy on the demand by poor citizens for government redistribution. Taking the well‐known Meltzer‐Richard theory as the point of departure, three arguments are presented as to why such a demand should be stronger in democracies than in autocracies: in democracies low‐income groups are: (1) exposed to elections that can make a policy difference: (2) better informed about the income distribution; and (3) better equipped to process such information. The argument receives empirical support in a Bayesian multilevel analysis which combines 188 World Values Surveys with cross‐sectional and longitudinal macro data from 80 countries.

As taxation has become a prominent issue on the international development policy agenda, a growing body of research has focused on taxpayer perceptions and experiences of taxation. A strand of this research emphasises the importance of the historical, political and social context of taxation. We position ourselves in line with this research as we pay attention to the emic definitions of taxation in Africa across contexts, languages, and time periods. We explore how the conception of taxation in different contexts is closely interrelated with the language used to describe it, with language being a product of histories of colonialism, conflict, and extraction by social, traditional and political actors. We argue that studies of taxation, particularly survey-based research, need to be complemented, if not informed, by a deeper understanding of the diversity of tax landscapes and of the meanings ascribed to taxation in a given context. This will strengthen content and interpretive validity of taxpayer perception data as well as provide important nuances to the understanding of the dynamics of taxpayers’ experiences of contemporary states and systems of taxation.

This article compares the public perceptions of various types of migrants in Japan and examines whether Japanese view them equally. Using an original survey, which presented six types of migrants that Japanese people most commonly face in their daily lives, I show several interesting results. First, respondents express the most negative views toward labor migrants. Second, respondents who have migrant friends tend to have more positive feelings for all types of migrants. In contrast, simple coexistence with migrants fails to enhance public sentiment toward labor migrants, particularly those whose stay is temporary. Overall, my statistical results suggest that Japanese people are not pessimistic about every kind of migrant, and their openness increases as migrants acculturate into Japanese society and interact with Japanese people. These findings provide evidence to influence policy discussions on whether Japan should recruit labor migrants in its current form in order to fight its aging population.

This article scrutinizes the relationship between collective nostalgia and populism. Different populist figures utilize nostalgia by referring to their country's ‘good old’ glorious days and exploiting resentment of the elites and establishment. Populists instrumentalize nostalgia in order to create their populist heartland, which is a retrospectively constructed utopia based on an abandoned but undead past. Using two original datasets from Turkey, this study first analyzes whether collective nostalgia characterizes populist attitudes of the electorate. The results illustrate that collective nostalgia has a significantly positive relationship with populist attitudes even after controlling for various independent variables, including religiosity, partisanship, satisfaction with life and Euroscepticism. Secondly, the study tests whether nostalgic messages affect populist attitudes using an online survey experiment. The results indicate that Ottoman nostalgia helps increase populist attitudes. Kemalist nostalgia, however, has a weak direct effect on populist attitudes that disappears after controlling for party preference.

To what degree are Chinese citizens concerned about the seriousness of global warming and climate change (GWCC) and what are the key factors that shape their concern? Drawing theoretical insights from extant literature and using recent data from a national representative public survey (N = 3,748) and provincial environmental and economic statistics, this study, the first of its kind, examines the variations and determinants of Chinese GWCC concern. Our data show that in China, compared to other countries, average public concern about GWCC is relatively low, and concern varies greatly among Chinese citizens, across different provinces and between coastal and inland areas. Statistical analyses reveal that the levels of Chinese GWCC concern are significantly influenced by individual sociodemographic characteristics, personal post-materialist values, and regional economic dependency on carbon-intensive industries. Specifically, women and younger Chinese with greater post-materialist values are more concerned about GWCC than their counterparts, and citizens from provinces with higher economic dependency on carbon-intensive industries tend to be less concerned about GWCC than people from provinces with lower carbon dependency. We discuss key policy implications and make suggestions for future research in the conclusion.

Feedback to students is an important feature of assessment in higher education. Constructive and timely feedback guides students to improve on a continuous basis in the process of their tertiary education. This paper outlines an exploratory study based on survey research, which was conducted on a large sample of undergraduate students on management courses in a New Zealand university. Following a review of the relevant literature a conceptual model was developed using systems thinking principles. A questionnaire was designed consisting of 20 closed Likert questions and two open questions designed to explore students’ perceptions of the feedback given to them on their formative assessments. Quantitative and qualitative analyses were undertaken of the data collected from over 600 valid responses. The quantitative analysis consisted of descriptive statistics, an exploratory factor analysis and Pearson's correlation analysis. The four main factors to emerge were: improvement of work quality, improvement of results, need for feedback and quality of feedback. The qualitative analysis was based on these themes. The results of these analyses are discussed in this paper. This paper attempts to contribute to the ongoing discussion regarding the better understanding of the complex relationships between feedback and student learning in tertiary level management education.

The Gemini Planet Image (GPI) is a new, high-contrast, exoplanet-imaging, facility instrument for the Gemini South observatory, scheduled to begin science observations in 2014. The GPI Exoplanet Survey (GPIES) has been awarded 890 hours to image and spectrally and polarimetrically characterize young, giant planets within 100 parsecs of the solar system. In preparation for the survey, we have developed a framework for simulating GPI observations and generating end-to-end survey simulations. We present new extensions to this modeling effort and our latest results. We discuss systematic methods for scheduling the survey to ensure that the population of discovered planets is useful in constraining formation models and possibly distinguishing between gravitational collapse and core accretion as the primary formation mechanism.