"A master of his craft, Giuseppe Iarossi has drawn on his extensive experience in the field to produce a wonderfully useful volume on how to do and work with surveys of industrial firms."- Kenneth L. ...Sokoloff, Department of Economics, U.C.L.A A practical how-to guide on all the steps involved with survey implementation, this volume covers survey management, questionnaire design, sampling, respondents psychology and survey participation, and data management. A comprehensive and practical reference for those who both use and produce survey data.
The ERiK-Methodological Report III is the third in a series of methodological reports related to the 'Entwicklung von Rahmenbedingungen in der Kindertagesbetreuung -indikatorengestützte ...Qualitätsbeobachtung (ERiK)' study. The report focuses on the conception, sample selection, and survey designs of the ERiK-Surveys 2022. Together with the ERiK-Methodological Report I and II, that cover the ERiK Surveys 2020, it provides comprehensive background information on the ERiK-Surveys conducted in 2022 and describes their progression until December 31, 2021. The subsequent steps, such as implementing the ERiK-Surveys 2022, will be described in a later report.
The classic survey design reference, updated for the digital age For over two decades, Dillman's classic text on survey design has aided both students and professionals in effectively planning and ...conducting mail, telephone, and, more recently, Internet surveys. The new edition is thoroughly updated and revised, and covers all aspects of survey research. It features expanded coverage of mobile phones, tablets, and the use of do-it-yourself surveys, and Dillman's unique Tailored Design Method is also thoroughly explained. This invaluable resource is crucial for any researcher seeking to increase response rates and obtain high-quality feedback from survey questions. Consistent with current emphasis on the visual and aural, the new edition is complemented by copious examples within the text and accompanying website. This heavily revised Fourth Edition includes: * Strategies and tactics for determining the needs of a given survey, how to design it, and how to effectively administer it * How and when to use mail, telephone, and Internet surveys to maximum advantage * Proven techniques to increase response rates * Guidance on how to obtain high-quality feedback from mail, electronic, and other self-administered surveys * Direction on how to construct effective questionnaires, including considerations of layout * The effects of sponsorship on the response rates of surveys * Use of capabilities provided by newly mass-used media: interactivity, presentation of aural and visual stimuli. * The Fourth Edition reintroduces the telephone—including coordinating land and mobile. Grounded in the best research, the book offers practical how-to guidelines and detailed examples for practitioners and students alike.
Survey research methodology is widely used in marketing, and it is important for both the field and individual researchers to follow stringent guidelines to ensure that meaningful insights are ...attained. To assess the extent to which marketing researchers are utilizing best practices in designing, administering, and analyzing surveys, we review the prevalence of published empirical survey work during the 2006–2015 period in three top marketing journals—
Journal of the Academy of Marketing Science
(
JAMS
),
Journal of Marketing
(
JM
), and
Journal of Marketing Research
(
JMR
)—and then conduct an in-depth analysis of 202 survey-based studies published in
JAMS
. We focus on key issues in two broad areas of survey research (issues related to the choice of the object of measurement and selection of raters, and issues related to the measurement of the constructs of interest), and we describe conceptual considerations related to each specific issue, review how marketing researchers have attended to these issues in their published work, and identify appropriate best practices.
Consequences of Survey Nonresponse PEYTCHEV, ANDY
The Annals of the American Academy of Political and Social Science,
01/2013, Letnik:
645, Številka:
1
Journal Article
Recenzirano
Nonresponse is a prominent problem in sample surveys. At face value, it reduces the trust in survey estimates. Nonresponse undermines the probability-based inferential mechanism and introduces the ...potential for nonresponse bias. In addition, there are other important consequences. The effort to limit increasing nonresponse has led to higher survey costs—allocation of greater resources to measure and reduce nonresponse. Nonresponse has also led to greater survey complexity in terms of design, implementation, and processing of survey data, such as the use of multiphase and responsive designs. The use of mixed-mode and multiframe designs to address nonresponse increases complexity but also introduces other sources of error. Surveys have to rely to a greater extent on statistical adjustments and auxiliary data. This article describes the major consequences of survey nonresponse, with particular attention to recent years.
Summary
Objectives
The article provides an overview of current trends in personal sensor, signal and imaging informatics, that are based on emerging mobile computing and communications technologies ...enclosed in a smartphone and enabling the provision of personal, pervasive health informatics services.
Methods
The article reviews examples of these trends from the PubMed and Google scholar literature search engines, which, by no means claim to be complete, as the field is evolving and some recent advances may not be documented yet.
Results
There exist critical technological advances in the surveyed smartphone technologies, employed in provision and improvement of diagnosis, acute and chronic treatment and rehabilitation health services, as well as in education and training of healthcare practitioners. However, the most emerging trend relates to a routine application of these technologies in a prevention/wellness sector, helping its users in self-care to
stay
healthy.
Conclusions
Smartphone-based personal health informatics services exist, but still have a long way to go to become an everyday, personalized healthcare-provisioning tool in the medical field and in a clinical practice. Key main challenge for their widespread adoption involve lack of user acceptance striving from variable credibility and reliability of applications and solutions as they a) lack evidence-based approach; b) have low levels of medical professional involvement in their design and content; c) are provided in an unreliable way, influencing negatively its usability; and, in some cases, d) being industry-driven, hence exposing bias in information provided, for example towards particular types of treatment or intervention procedures.
We correct, update, and elaborate Curtin, Presser, and Singer’s (2000) report that the University of Michigan’s Survey of Consumer Attitudes (SCA) experienced only a small response rate decline ...between 1979 and 1996, contrary to the widespread perception of plunging response rates. Our aims are to (1) correct errors in the SCA response rate data that affected Curtin, Presser, and Singer’s (2000) result, (2) examine the trend in SCA response rates after 1996, when caller identification technology became widespread, and (3) describe the roles played by the various sources of SCA nonresponse over time. The results show that the response rate decline from 1979 to 1996 was larger than described by Curtin, Presser, and Singer (2000); the response rate drop was significantly steeper from 1996 to 2003 than from 1979 to 1996; and the 1979 to 2003 trends differed substantially for refusals and noncontacts.
To conduct nutrition-related analyses on large-scale health surveys, two aspects of the survey must be incorporated into the analysis: the sampling weights and the sample design; a practice which is ...not always observed. The present paper compares three analyses: (1) unweighted; (2) weighted but not accounting for the complex sample design; and (3) weighted and accounting for the complex design using replicate weights.
Descriptive statistics are computed and a logistic regression investigation of being overweight/obese is conducted using Stata.
Cross-sectional health survey with complex sample design where replicate weights are supplied rather than the variables containing sample design information.
Responding adults from the National Nutrition and Physical Activity Survey (NNPAS) part of the Australian Health Survey (2011-2013).
Unweighted analysis produces biased estimates and incorrect estimates of se. Adjusting for the sampling weights gives unbiased estimates but incorrect se estimates. Incorporating both the sampling weights and the sample design results in unbiased estimates and the correct se estimates. This can affect interpretation; for example, the incorrect estimate of the OR for being a current smoker in the unweighted analysis was 1·20 (95 % CI 1·06, 1·37), t= 2·89, P = 0·004, suggesting a statistically significant relationship with being overweight/obese. When the sampling weights and complex sample design are correctly incorporated, the results are no longer statistically significant: OR = 1·06 (95 % CI 0·89, 1·27), t = 0·71, P = 0·480.
Correct incorporation of the sampling weights and sample design is crucial for valid inference from survey data.
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