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      Enhancing the sample diversity of snowball samples: Recommendations from a research project on anti-dam movements in Southeast Asia

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      PLoS ONE
      Public Library of Science

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          Abstract

          Snowball sampling is a commonly employed sampling method in qualitative research; however, the diversity of samples generated via this method has repeatedly been questioned. Scholars have posited several anecdotally based recommendations for enhancing the diversity of snowball samples. In this study, we performed the first quantitative, medium- N analysis of snowball sampling to identify pathways to sample diversity, analysing 211 reach-outs conducted via snowball sampling, resulting in 81 interviews; these interviews were administered between April and August 2015 for a research project on anti-dam movements in Southeast Asia. Based upon this analysis, we were able to refine and enhance the previous recommendations (e.g., showcasing novel evidence on the value of multiple seeds or face-to-face interviews). This paper may thus be of particular interest to scholars employing or intending to employ snowball sampling.

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          Most cited references44

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          Is there a bias against telephone interviews in qualitative research?

          Telephone interviews are largely neglected in the qualitative research literature and, when discussed, they are often depicted as a less attractive alternative to face-to-face interviewing. The absence of visual cues via telephone is thought to result in loss of contextual and nonverbal data and to compromise rapport, probing, and interpretation of responses. Yet, telephones may allow respondents to feel relaxed and able to disclose sensitive information, and evidence is lacking that they produce lower quality data. This apparent bias against telephone interviews contrasts with a growing interest in electronic qualitative interviews. Research is needed comparing these modalities, and examining their impact on data quality and their use for studying varying topics and populations. Such studies could contribute evidence-based guidelines for optimizing interview data. 2008 Wiley Periodicals, Inc
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            SNOWBALL VERSUS RESPONDENT-DRIVEN SAMPLING.

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              How to control confounding effects by statistical analysis

              A Confounder is a variable whose presence affects the variables being studied so that the results do not reflect the actual relationship. There are various ways to exclude or control confounding variables including Randomization, Restriction and Matching. But all these methods are applicable at the time of study design. When experimental designs are premature, impractical, or impossible, researchers must rely on statistical methods to adjust for potentially confounding effects. These Statistical models (especially regression models) are flexible to eliminate the effects of confounders.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: InvestigationRole: VisualizationRole: Writing – original draft
                Role: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                22 August 2018
                2018
                : 13
                : 8
                : e0201710
                Affiliations
                [1 ] Faculty of Geosciences, Utrecht University, Utrecht, the Netherlands
                [2 ] School of Geography and the Environment, University of Oxford, Oxford, United Kingdom
                University of Michigan, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0001-6272-8900
                Article
                PONE-D-17-32686
                10.1371/journal.pone.0201710
                6104950
                30133457
                6e714d15-0867-4b46-bafc-412a3b782e82
                © 2018 Kirchherr, Charles

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 13 September 2017
                : 20 July 2018
                Page count
                Figures: 7, Tables: 1, Pages: 17
                Funding
                The authors received no specific funding for this work.
                Categories
                Research Article
                Biology and Life Sciences
                Ecology
                Ecological Metrics
                Species Diversity
                Ecology and Environmental Sciences
                Ecology
                Ecological Metrics
                Species Diversity
                Research and Analysis Methods
                Research Design
                Qualitative Studies
                Engineering and Technology
                Equipment
                Communication Equipment
                Telephones
                Research and Analysis Methods
                Research Design
                Quantitative Analysis
                Computer and Information Sciences
                Network Analysis
                Social Networks
                Social Sciences
                Sociology
                Social Networks
                Research and Analysis Methods
                Research Design
                Survey Research
                Surveys
                Research and Analysis Methods
                Research Design
                Social Sciences
                Economics
                Labor Economics
                Employment
                Custom metadata
                All data underlying the study are within the paper and its Supporting Information files.

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