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Qualitative and quantitative methods...

Hai-Jew, Shalin.

Qualitative and quantitative methods in online survey design and data analytics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Qualitative and quantitative methods in online survey design and data analyticsShalin Hai-Jew, editor.
其他作者:	Hai-Jew, Shalin.
出版者:	Hershey, Pennsylvania :IGI Global,2020.
面頁冊數:	1 online resource (xiv, 226 p.)
標題:	Social surveysMethodology.
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-8563-3
ISBN:	9781522585657 (ebk.)

Qualitative and quantitative methods in online survey design and data analytics
Qualitative and quantitative methods in online survey design and data analytics[electronic resource] /Shalin Hai-Jew, editor. - Hershey, Pennsylvania :IGI Global,2020. - 1 online resource (xiv, 226 p.)

Includes bibliographical references and index.

Section 1. Online Survey setup. Chapter 1. Basics to branching logic in self-administered online surveys ; Chapter 2. Setting up an online survey instrument for effective quantitative cross-tabulation analysis -- Section 2. In-depth data elicitations. Chapter 3. Designing, deploying, and evaluating open-access online delphi studies (OAODS) ; Chapter 4. Conducting a basic self-explicated conjoint analysis online with qualtrics ; Chapter 5. Setting up education-based "crosswalk analyses" on an online survey platform ; Chapter 6. Setting up and running a q-methodology study in an online survey research suite -- Section 3. Analyzing online survey data. Chapter 7. Using computational text analysis to explore open-ended survey question responses ; Chapter 8. Applying qualitative matrix coding queries and qualitative crosstab matrices for explorations of online survey data.

"This book explores the uses of online survey systems for various types of research, data analysis, and exploration"--

ISBN: 9781522585657 (ebk.)Subjects--Topical Terms:

224827
Social surveys
--Methodology.

LC Class. No.: HM538 / .Q34 2020

Dewey Class. No.: 300.72/3

Qualitative and quantitative methods in online survey design and data analytics
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