Online Survey Design and Data Analytics : Emerging Research and Opportunities
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| Title: | Online Survey Design and Data Analytics : Emerging Research and Opportunities |
|---|---|
| Description: | Online survey research suites offer a vast array of capabilities, supporting the presentation of virtually every type of digital data – text, imagery, audio, video, and multimedia forms. With some researcher sophistication, these online survey research suites can enable a wide range of quantitative, qualitative, and mixed methods research. Online Survey Design and Data Analytics: Emerging Research and Opportunities is a critical scholarly resource that explores the utilization of online platforms for setting up surveys to achieve a specific result, eliciting data in in-depth ways and applying creative analytics methods to online survey data. Highlighting topics such as coding, education-based analysis, and online Delphi studies, this publication is ideal for researchers, professionals, academicians, data analysts, IT consultants, and students. |
| Authors: | Shalin Hai-Jew |
| Resource Type: | eBook. |
| Subjects: | Qualitative research, Social surveys--Methodology, Quantitative research |
| Categories: | COMPUTERS / Web / General, COMPUTERS / Data Science / General, COMPUTERS / Internet / Web Services & APIs |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf – Type: ebook-epub Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Online Survey Design and Data Analytics : Emerging Research and Opportunities – Name: Abstract Label: Description Group: Ab Data: Online survey research suites offer a vast array of capabilities, supporting the presentation of virtually every type of digital data – text, imagery, audio, video, and multimedia forms. With some researcher sophistication, these online survey research suites can enable a wide range of quantitative, qualitative, and mixed methods research. Online Survey Design and Data Analytics: Emerging Research and Opportunities is a critical scholarly resource that explores the utilization of online platforms for setting up surveys to achieve a specific result, eliciting data in in-depth ways and applying creative analytics methods to online survey data. Highlighting topics such as coding, education-based analysis, and online Delphi studies, this publication is ideal for researchers, professionals, academicians, data analysts, IT consultants, and students. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Shalin+Hai-Jew%22">Shalin Hai-Jew</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Qualitative+research%22">Qualitative research</searchLink><br /><searchLink fieldCode="DE" term="%22Social+surveys--Methodology%22">Social surveys--Methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Quantitative+research%22">Quantitative research</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Web+%2F+General%22">COMPUTERS / Web / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+General%22">COMPUTERS / Data Science / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Internet+%2F+Web+Services+%26+APIs%22">COMPUTERS / Internet / Web Services & APIs</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 300.723 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Qualitative research Type: general – SubjectFull: Social surveys--Methodology Type: general – SubjectFull: Quantitative research Type: general Titles: – TitleFull: Online Survey Design and Data Analytics : Emerging Research and Opportunities Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Shalin Hai-Jew – PersonEntity: Name: NameFull: Shalin Hai-Jew IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2019 – D: 18 M: 04 Type: profile Y: 2019 Identifiers: – Type: isbn-print Value: 9781522585633 – Type: isbn-electronic Value: 9781522585657 – Type: isbn-electronic Value: 9781522585664 Titles: – TitleFull: Online Survey Design and Data Analytics : Emerging Research and Opportunities Type: main |
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