505 research outputs found

    Words, Numbers and Visual Heuristics in Web Surveys: Is there a Hierarchy of Importance?

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    In interpreting questions, respondents extract meaning from how the information in a questionnaire is shaped, spaced, and shaded. This makes it important to pay close attention to the arrangement of visual information on a questionnaire. Respondents follow simple heuristics in interpreting the visual features of questions. We carried out five experiments to investigate how the effect of visual heuristics affected the answers to survey questions. We varied verbal, numerical, and other visual cues such as color. In some instances the use of words helps overcome visual layout effects. In at least one instance, a fundamental difference in visual layout (violating the 'left and top means first' heuristic) influenced answers on top of word labels. This suggests that both visual and verbal languages are important. Yet sometimes one can override the other. To reduce the effect of visual cues, it is better to use fully labeled scales in survey questions.questionnaire design;layout;visual language;response effects;visual cues

    Words, Numbers and Visual Heuristics in Web Surveys:Is there a Hierarchy of Importance?

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    Internet Surveys by Direct Mailing: An Innovative Way of Collecting Data

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    This article describes a new method of collecting data by direct mailing via the Internet. Feasibility and capacities were evaluated through a worldwide opinion poll on global future risks of mankind and potential solutions. Within 1 day, a structured questionnaire was sent to 8,859 randomly selected e-mail addresses. One thousand seven hundred and thirteen were remailed properly completed, 90 within 4 days. Most respondents were residents of North America (64) and Europe (21 ), male (87), and 30 years old on average. Environmental destruction (52) was mentioned as the primary problem, followed by violence (45) and unemployment (45). Education (71 ) was the most frequently proposed solution to future problems. It is obvious that Internet surveys at this time are not repre sentative of the total population. However, they open new dimensions in the interrogation of experts and opinion leaders, especially considering their efficiency and potential for automation

    Social Dimensions of Urban Flood Experience, Exposure, and Concern

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    With growing urban populations and climate change, urban flooding is an important global issue, even in dryland regions. Flood risk assessments are usually used to identify vulnerable locations and populations, flooding experience patterns, or levels of concern about flooding, but rarely are all of these approaches combined. Furthermore, the social dynamics of flood concerns, exposure, and experience are underexplored. We combined geographic and survey data on household‐level measures of flood experience, concern, and exposure in Utah\u27s urbanizing Wasatch Front. We asked: (1) Are socially vulnerable groups more likely to be exposed to flood risk? (2) How common are flooding experiences among urban residents, and how are these experiences related to sociodemographic characteristics and exposure? and (3) How concerned are urban residents about flooding, and does concern vary by exposure, flood experience, and sociodemographic characteristics? Although floodplain residents were more likely to be White and have higher incomes, respondents who were of a racial/ethnic minority, were older, had less education, and were living in floodplains were more likely to report flood experiences and concern about flooding. Flood risk management approaches need to address social as well as physical sources of vulnerability to floods and recognize social sources of variation in flood experiences and concern

    Do People Vote on the Basis of Minimax Regret?

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    Rational choice theory has yet to provide a satisfactory explanation of voter turnout. One such account, minimax regret, is analyzed using data from a survey involving students at two Canadian universities during the 1993 Canadian federal election campaign. While the minimax regret hypothesis is supported at the bivariate level, it fails to pass a multivariate test in which other components of the calculus of voting are included. Minimax regret appears to be little more than a rationalization on the part of those having a strong sense of duty to vote.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/68661/2/10.1177_106591299504800408.pd

    Within-Household Selection Methods: A Critical Review and Experimental Examination

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    Probability samples are necessary for making statistical inferences to the general population (Baker et al. 2013). Some countries (e.g. Sweden) have population registers from which to randomly select samples of adults. The U.S. and many other countries, however, do not have population registers. Instead, researchers (i) select a probability sample of households from lists of areas, addresses, or telephone numbers and (ii) select an adult within these sampled households. The process by which individuals are selected from sampled households to obtain a probability-based sample of individuals is called within-household (or within-unit) selection (Gaziano 2005).Within-household selection aims to provide each member of a sampled household with a known, nonzero chance of being selected for the survey (Gaziano 2005; Lavrakas 2008). Thus, it helps to ensure that the sample represents the target population rather than only those most willing and available to participate and, as such, reduces total survey error (TSE). In interviewer-administered surveys, trained interviewers can implement a prespecified within-household selection procedure, making the selection process relatively straightforward. In self-administered surveys, within-household selection is more challenging because households must carry out the selection task themselves. This can lead to errors in the selection process or nonresponse, resulting in too many or too few of certain types of people in the data (e.g. typically too many female, highly educated, older, and white respondents), and may also lead to biased estimates for other items. We expect the smallest biases in estimates for items that do not differ across household members (e.g. political views, household income) and the largest biases for items that do differ across household members (e.g. household division of labor). In this chapter, we review recent literature on within-household selection across survey modes, identify the methodological requirements of studying within-household selection methods experimentally, provide an example of an experiment designed to improve the quality of selecting an adult within a household in mail surveys, and summarize current implications for survey practice regarding within-household selection. We focus on selection of one adult out of all possible adults in a household; screening households for members who have particular characteristics has additional complications (e.g. Tourangeau et al. 2012; Brick et al. 2016; Brick et al. 2011), although designing experimental studies for screening follows the same principles

    Exposure Path Perceptions and Protective Actions in Biological Water Contamination Emergencies

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    This study extends the Protective Action Decision Model, developed to address disaster warning responses in the context of natural hazards, to “boil water” advisories. The study examined 110 Boston residents’ and 203 Texas students’ expectations of getting sick through different exposure paths for contact with contaminated water. In addition, the study assessed respondents’ actual implementation (for residents) or behavioral expectations (for students) of three different protective actions – bottled water, boiled water, and personally chlorinated water – as well as their demo-graphic characteristics and previous experience with water contamination. The results indicate that people distinguish among the exposure paths, but the differences are small (one-third to one-half of the response scale). Nonetheless, the perceived risk from the exposure paths helps to explain why people are expected to consume (or actually consumed) bottled water rather than boiled or personally chlorinated water. Overall, these results indicate that local authorities should take care to communicate the relative risks of different exposure paths and should expect that people will respond to a boil water order primarily by consuming bottled water. Thus, they should make special efforts to increase supplies of bottled water in their communities during water contamination emergencies

    Absorptive capacity and market orientation in public service provision

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    This is an Accepted Manuscript of an article published by Taylor & Francis Group in Journal of Strategic Marketing on 05.04.2012, available online at: http://www.tandfonline.com/10.1080/0965254X.2011.643915The application of market orientation to public organisations does not adequately account for the unique features of this context. Drawing on absorptive capacity literature, this is the first study to examine the role of the organisation's learning environment on the market orientation-performance interface for two opposing public management contexts. The research involved a national survey questionnaire to 1060 internal and external public leisure service providers in England. Empirical testing through structural equation modelling revealed that not all dimensions of market orientation are universally positive and marketing scholars should seek to examine and understand market orientation in the context of the organisation and its learning mechanisms, as absorptive capacity has clear and different moderation effects under different management contexts. © 2012 Copyright Taylor and Francis Group, LLC
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