Suchergebnisse

AbstractIn this chapter we discuss how to download, clean, and transform online survey results in preparation for data analysis.

This survey dataset is part of the project "Looking for data: information seeking behaviour of survey data users", a study of secondary data users' information-seeking behaviour. The overall goal of this study was to create evidence of actual information practices of users
of one particular retrieval system for social science data in order to inform the development
of research data infrastructures that facilitate data sharing.

In the project, data were collected based on a mixed methods design. The research design included a qualitative study in the form of expert interviews and – building on the results found therein – a quantitative web survey of secondary survey data users. The survey dataset comprises 1,458 valid cases (1,727 cases including incomplete contributions). The transcripts of the expert interviews are also available through this data archive upon request.

The core result of this study is that community involvement plays a pivotal role in survey
data seeking. The analyses show that survey data communities are an important
determinant in survey data users' information seeking behaviour and that community
involvement facilitates data seeking and has the capacity of reducing problems or barriers.

In the quantitative part of the study, the following hypotheses were tested:
(1) The data seeking hypotheses:
(1a) When looking for data, information seeking through personal contact is used more
often than impersonal ways of information seeking.
(1b) Ways of information seeking (personal or impersonal) differ with experience.
(2) The experience hypotheses:
(2a) Experience is positively correlated with having ambitious goals.
(2b) Experience is positively correlated with having more advanced requirements for data.
(2c) Experience is positively correlated with having more specific problems with data.
(3) The community involvement hypothesis:
Experience is positively correlated with community involvement.
(4) The problem solving hypothesis:
Community involvement is positively correlated with problem solving strategies that require
personal interactions.

The calculations made to test these hypotheses can be reproduced with the syntax file LfdAnalysis.do that is provided together with the survey dataset.

Seit dem 24. Februar 2022 erlebt die Europäische Union einen Massenzustrom von Menschen, die vor dem Krieg in der Ukraine fliehen. Als Reaktion darauf hat der Europäische Rat zum ersten Mal die Richtlinie über den vorübergehenden Schutz aktiviert, die Mindestschutzstandards für Kriegsflüchtlinge vorsieht. In der Umfrage wurde untersucht, wie die Kriegsflüchtlinge die ihnen gewährte Hilfe erlebt haben, und es wurde versucht, die Probleme zu ermitteln, mit denen sie konfrontiert sind. Die Ergebnisse unterstützen die politischen Entscheidungsträger bei der Weiterentwicklung und Ausrichtung ihrer Maßnahmen.

Die Online-Umfrage über aus der Ukraine vertriebene Personen wurde von der Agentur der Europäischen Union für Grundrechte (FRA) im Jahr 2022 durchgeführt. Die Umfrage richtete sich an Personen, die in zehn EU-Mitgliedstaaten leben: Bulgarien, Tschechische Republik, Estland, Deutschland, Ungarn, Italien, Polen, Rumänien, Slowakei und Spanien. Es handelte sich um eine groß angelegte offene Online-Umfrage zu den Erfahrungen und Ansichten von Menschen, die vor dem Krieg in der Ukraine fliehen.

Die Umfrage befasste sich mit einem breiten Spektrum von Themen im Zusammenhang mit dem Aufenthalt von Vertriebenen in der EU, einschließlich des Zugangs zu Beschäftigung, Bildung, Wohnraum, Gesundheitsversorgung, Spracherwerb und anderen Fragen, die ihre soziale und wirtschaftliche Integration betreffen. Außerdem wurden die Befragten zu ihren Erfahrungen mit Gewalt befragt.

AbstractThis chapter describes the overall planning process for using online surveys in your evaluation and how to choose survey software or a Web host for your evaluation project.

In many countries, policymakers have used urban densification strategies in an effort to create more sustainable cities. However, spatial density as a concept remains unclear and complex. Little information exists about how density is considered by decision makers, including the different kinds of density and the wider political and economic context in which decisions are made: who makes density decisions, when they make those decisions and what they use to make decisions. To that end, the authors created an online survey to investigate the above issues. One hundred and twenty-nine respondents from the fields of architecture, planning, urban design and engineering answered a 26-item survey over a 3-month period. Findings suggest that decision makers consider more than just population and dwelling density and that city design, planning and policy need to address these other kinds of density. Moreover, the professions making many of the density decisions are not, necessarily, the ones that should be making the decisions; nor are they making decisions early enough. Policymakers also need to be more cognisant of the multi-scalar dimensions of density when creating policy. Finally, more needs to be done in universities to ensure that built environment students receive a broader skillset, particularly in terms of engaging with communities.

In many countries, policymakers have used urban densification strategies in an effort to create more sustainable cities. However, spatial density as a concept remains unclear and complex. Little information exists about how density is considered by decision makers, including the different kinds of density and the wider political and economic context in which decisions are made: who makes density decisions, when they make those decisions and what they use to make decisions. To that end, the authors created an online survey to investigate the above issues. One hundred and twenty-nine respondents from the fields of architecture, planning, urban design and engineering answered a 26-item survey over a 3-month period. Findings suggest that decision makers consider more than just population and dwelling density and that city design, planning and policy need to address these other kinds of density. Moreover, the professions making many of the density decisions are not, necessarily, the ones that should be making the decisions ; nor are they making decisions early enough. Policymakers also need to be more cognisant of the multi-scalar dimensions of density when creating policy. Finally, more needs to be done in universities to ensure that built environment students receive a broader skillset, particularly in terms of engaging with communities.

Questasy: Online Survey Data Dissemination Using DDI 3

In recent years, research on the effects of survey sponsorship on response patterns has almost disappeared. This disappearance may be explained by a lack of new knowledge arising from such research. Online surveys raise new questions about the role of sponsorship, particularly in relation to communicating the authenticity of the survey and the importance of participation. This research note summarizes the results of an experiment in which an email invitation was sent to university faculty, staff, and students asking them to participate in an online survey about campus transportation issues. Subjects were randomly assigned to receive an email invitation from either the university survey center or the university transportation department, the actual sponsor of the survey. Rather than manipulate the actual sponsor, our experiment manipulates the prominence of the sponsor (e.g., Transportation Department) in the recruitment process as well as the topic (e.g., transportation issues) as a result of the sponsor prominence. We examine the effects of sponsor prominence on response patterns, namely the response rate and break-off rate. In addition, we examine whether the effect of this manipulation differs for different types of sample strata (faculty/staff vs. students; commuters vs. non-commuters). Adapted from the source document.

Purpose
For about four decades, Iran and the USA have continued to be two most stubborn enemies and this has drawn much research on this subject. Yet, only a very small fraction of this body of research has been allocated to studying the perceptions that the people of the two countries have of each other. Using a mixed method survey, the purpose of this paper is to explore cross-cultural schemata US American people have of Iranians.


Design/methodology/approach
By way of an e-mail survey, the authors collected 1,752 responses from American citizens across 50 American states. The open ended responses were codified and categorized. Three out of six categories were further sub-categorized.


Findings
The outcomes showed that about 40 percent of Americans had negative cross-cultural schemata of Iranians with the media being the main source of negative cross-cultural schemata. Conversely, personal contact and communication with Iranians proved to be the source of positive cross-cultural schemata toward Iranians. Other results showed that US American exceptionalism and negative attitudes toward Iranians had a direct and positive relationship with having negative cross-cultural schemata of Iranians.


Originality/value
As the authors have explained in this paper, very few scholars have taken up the issue of cross-cultural schemata Iranian and American people have of each other. By doing this and several other works, the authors have tried to create a new research interest in academic circles.