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- Publisher: Engineering Science Reference
- Year: 2019
- Pages: 320
- ISBN-10: 152258563X
- ISBN-13: 9781522585633
- Format: 17.8 x 25.4 x 1.6 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
Online Survey Design and Data Analytics (e-book) (used book) | bookbook.eu
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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.
EXTRA 10 % discount with code: EXTRA
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- Publisher: Engineering Science Reference
- Year: 2019
- Pages: 320
- ISBN-10: 152258563X
- ISBN-13: 9781522585633
- Format: 17.8 x 25.4 x 1.6 cm, hardcover
- Language: English English
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.
Reviews