Online Survey Design And Data Analytics Emerging Research And Opportunities


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Qualitative and Quantitative Methods in Online Survey Design and Data Analytics


Qualitative and Quantitative Methods in Online Survey Design and Data Analytics

Author: Shalin Hai-Jew

language: en

Publisher:

Release Date: 2019


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

Online Survey Design and Data Analytics: Emerging Research and Opportunities


Online Survey Design and Data Analytics: Emerging Research and Opportunities

Author: Hai-Jew, Shalin

language: en

Publisher: IGI Global

Release Date: 2019-05-03


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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.

Emerging Perspectives in Big Data Warehousing


Emerging Perspectives in Big Data Warehousing

Author: Taniar, David

language: en

Publisher: IGI Global

Release Date: 2019-06-28


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The concept of a big data warehouse appeared in order to store moving data objects and temporal data information. Moving objects are geometries that change their position and shape continuously over time. In order to support spatio-temporal data, a data model and associated query language is needed for supporting moving objects. Emerging Perspectives in Big Data Warehousing is an essential research publication that explores current innovative activities focusing on the integration between data warehousing and data mining with an emphasis on the applicability to real-world problems. Featuring a wide range of topics such as index structures, ontology, and user behavior, this book is ideally designed for IT consultants, researchers, professionals, computer scientists, academicians, and managers.