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AI-generated Abstract
The paper critiques the reliance on surveys for research, arguing that they can be biased and inadequate for gathering genuine insights. It emphasizes the importance of observational methods and critical evaluation of survey tools. Key issues highlighted include sample representativeness, potential bias in responses, and the limitations of online surveys. Additionally, it discusses alternative approaches like the Mood Meter, while urging researchers to remain vigilant and transparent about their methods.
Nursing & Health Sciences, 2020
This is the second of two editorials about survey research and the use of instruments. The first of these focused on permission to use instruments that are already developed. In this second part, we explore considerations in using surveys and questionnaires as a means to collect and analyze information, including translation, sample size, distribution, and interpretation.
Organizational Research Methods, 2001
Attitudes toward surveys were conceptualized as having two relatively independent components: feelings about the act of completing a survey, called survey enjoyment, and perceptions of the value of survey research, called survey value. After developing a psychometrically sound measure, the authors examined how the measure related to respondent behaviors that directly impact the quality and quantity of data collected in surveys. With the exception of a response distortion index, survey enjoyment was generally related to all the respondent behaviors studied (item response rates, following directions, volunteering to participate in other survey research, timeliness of a response to a survey request, and willingness to participate in additional survey research). Survey value was related to item response rates, following directions, and willingness to participate in additional survey research. A respondent motivation and intentions explanation is provided. Although the identified effect ...
Social Networks, 2001
The affect infusion model [Forgas, 1999, Handbook of Cognition and Emotion. Wiley, Chichester, p. 591] was used to hypothesize and explain relations between respondents’ moods and the instability of survey measurements of social support ties in social networks of high school students. Two relative measures of network measurement instability were defined. The sensitivity of these to the change in respondent
SSRN Electronic Journal, 2020
When there is a project that requires data collection, the machinery of Data Center (DC) is set in motion. As any machine, we need good inputs to develop and handle good outputs. The main goal of this paper is to explain the methodological process of a survey in our department as well as the information needed to develop a survey. We follow the presentation given by Professor Yves Tillé on 30 May 2018 focusing on the steps of a survey. We give special attention on the conception of a survey, the dissociation between the survey and the research project and the information required to develop the "data collection". This document aims to give a practical perspective to the survey process.
Critical Thinking in Psychology, 2006
Much of what we know about human behavior is based on self-reports. When we want to learn about individuals' health behaviors, consumer habits, family problems, media consumption, values or political beliefs, we ask appropriate questions. The answers provided to these questions serve as input into scientific analyses and provide the basis of statistical indicators used to describe the state of a society. Obviously, these data are only as meaningful as the questions we ask and the answers we receive. Moreover, whom we ask is of crucial importance to our ability to draw conclusions that extend beyond the particular people who answered our questions. Accordingly, the processes underlying question answering and the appropriate selection of respondents are of great importance to many areas of social research.
asia-u.ac.jp
There are many excellent guides to choosing statistics for analyzing survey results. The books, articles, and web sites referred to below are good places to start, and I refer the readers to these for specific details on how to choose analyses and how to do the actual analysis. This short summary serves simply to collect some of the points that frequently cause difficulties in survey analysis. It was born of my efforts to analyze my own surveys and to understand the analyses of others. The points I make simply strike me as ones that have been underemphasized hitherto.
2012
An effective way of increasing the popularity of a ‘Dry ’ subject
Journal of Consumer Health on The Internet, 2009
The increased popularity and ease of creating online surveys may allow for professionals with little knowledge of appropriate study design and psychometrics to develop instruments with questionable methodological rigor. The present study provides one example of developing an online survey instrument using appropriate survey design. This article will provide health science librarians with a resource in the development of a valid and reliable survey instrument using SurveyMonkey.com. Recommendations for future research include surveying health science librarians and other professionals to gain a better understanding of the need for education on this topic.