1,721,065 research outputs found
Participation in a Mobile App Survey to Collect Expenditure Data as Part of a Large-Scale Probability Household Panel: Coverage and Participation Rates and Biases
This paper examines non-response in a mobile app study designed to collect expenditure data. We invited 2,383 members of the nationally representative Understanding Society Innovation Panel in Great Britain to download an app to record their spending on goods and services: participants were asked to scan receipts or report spending directly in the app every day for a month. We examine coverage of mobile devices and participation in the app study at different stages of the process. We use data from the prior wave of the panel to examine the prevalence of potential barriers to participation, including access, ability and willingness to use different mobile technologies. We also examine bias in who has devices and in who participates, considering socio-demographic characteristics, financial position and financial behaviours. While the participation rate was low, drop out was also low: over 80% of participants remained in the study for the full month. The main barriers to participation were access to, and frequency of use of mobile devices, willingness to download an app for a survey, and general cooperativeness with the survey. We found extensive coverage bias in who has and does not have mobile devices, and some bias in who participates conditional on having a device. In the full sample, biases remain in who participates in terms of socio-demographic characteristics and financial behaviours. Crucially, however, we observe no biases for several key correlates of spending
Looking up answers to political knowledge questions in web surveys
Political knowledge can affect measures obtained in public opinion research and political science. When asked political knowledge questions, some respondents look up the answers online, inflating political knowledge scores. This response behavior is detectable in web surveys using paradata. This study investigates whether and to what extent respondents switch away from the survey to search for answers online using JavaScript OnBlur functions. Respondents were randomly assigned to device types (PC or smartphone) and response formats (open or closed) and answered a self-report question. The results reveal that about 30 percent of the respondents look up answers, depending on the device type and response format. They also reveal that switching away and correct answers are significantly associated with the response format. These findings provide new insights on looking up answers online and show that paradata are a promising new method to detect response behavior that may lead to incorrect inferences about respondents’ political knowledge. The findings also show that paradata and self-reports complement each other and that both measures should be combined in future web surveys measuring political knowledge
Switching away: Exploring on-device media multitasking in web surveys
The use of web surveys is a common and popular data collection method in behavioral and social research. Compared to other established survey modes, web surveys are frequently cheaper and less time consuming, because they are commonly self-administered. They also allow respondents to take part with few time and location restrictions. However, research has shown that web surveys are frequently associated with multitasking, which may negatively affect response behavior and response quality. In this study, we use paradata detecting switching away from the web survey to explore on-device media multitasking. We conducted a web survey in an opt-in access panel in Germany and randomly assigned respondents to a PC or smartphone condition. The results reveal that on-device media multitasking is more common on PCs than on smartphones. We also find evidence that engaging in on-device media multitasking affects response quality. Respondents who switch away are more likely to select the middle response category. In addition, the results show that the question presentation format, the device type, and respondents’ age and education are associated with the occurrence of on-device media multitasking. These findings point to the importance of controlling for on-device media multitasking in web surveys
Designing effective Web surveys
Designing Effective Web Surveys is a practical guide to designing web surveys, based on empirical evidence and grounded in scientific research and theory. It is designed to guide survey practitioners in the art and science of developing and deploying successful web surveys. The author guides the researcher through the steps involved, from the basic building blocks and suggests ways to increase visual impact and interactivity. Throughout, he considers the importance of layout and design, and attention is also given to the way questions are put together. The book is intended for academic, government, and market researchers who design and conduct web surveys
Doorstep interactions and interviewer effects on the process leading to cooperation or refusal
This article presents an analysis of interviewer effects on the process leading to cooperation or refusal in face-to-face surveys. The focus is on the interaction between the householder and the interviewer on the doorstep, including initial reactions from the householder, and interviewer characteristics, behaviors, and skills. In contrast to most previous research on interviewer effects, which analyzed final response behavior, the focus here is on the analysis of the process that leads to cooperation or refusal. Multilevel multinomial discrete-time event history modeling is used to examine jointly the different outcomes at each call, taking account of the influence of interviewer characteristics, call histories, and sample member characteristics. The study benefits from a rich data set comprising call record data (paradata) from several face-to-face surveys linked to interviewer observations, detailed interviewer information, and census records. The models have implications for survey practice and may be used in responsive survey designs to inform effective interviewer calling strategies
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Cross-national Comparison of Political Participation and Social Contribution : USA Survey Report ─English Edition─
統計数理研究所研究リポート100Research report. General series 100Principal Investigator\Matsumoto, WataruResearch Collaborator\Yoshino, Ryozo, Maeda, Tadahiko, Hayashi, Fumi, Couper, Mick P., Yamaoka, Kazue, Nikaido, Kousuke, Fujita, Taisuke, Shibai, Koyohisa, Nishitate, Takashi, Aida, Masahiko, Yoshioka, Takayuk
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