Item talk:Q262274
From geokb
{
"USGS Publications Warehouse": { "@context": "https://schema.org", "@type": "Article", "additionalType": "Journal Article", "name": "Low survey response! Can I still use the data?", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70228350", "url": "https://pubs.usgs.gov/publication/70228350" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70228350 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1080/10871209.2018.1523508", "url": "https://doi.org/10.1080/10871209.2018.1523508" } ], "journal": { "@type": "Periodical", "name": "Human Dimensions of Wildlife", "volumeNumber": "24", "issueNumber": "1" }, "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "Human Dimensions of Wildlife" } ], "datePublished": "2018", "dateModified": "2022-02-09", "abstract": "Natural resource agencies often use mail surveys to collect stakeholder information. However, a major concern of mail surveys have long been relatively low response rates compared to telephone or face-to-face interviews. Survey research has largely focused on achieving high response rates; however, in some situations even well designed surveys can have low response rates. We present an example of a 3-page (25 questions) survey measuring opinions and attitudes about native fish management in the South Dakota Black Hills region that received a relatively low response rate (21%) using a mailing, postcard, and second mailing of the questionnaire. We compare response rate and data quality of a third mailing of the full questionnaire with a one-page (5 questions) questionnaire measuring key variables to evaluate possible nonresponse bias. 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