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{ "item_title" : "Online Survey Design and Data Analytics", "item_author" : [" Shalin Hai-Jew "], "item_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.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/52/258/563/152258563X_b.jpg", "price_data" : { "retail_price" : "215.00", "online_price" : "215.00", "our_price" : "215.00", "club_price" : "215.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Online Survey Design and Data Analytics|Shalin Hai-Jew

Online Survey Design and Data Analytics : Emerging Research and Opportunities

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Overview

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.

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Details

  • ISBN-13: 9781522585633
  • ISBN-10: 152258563X
  • Publisher: Engineering Science Reference
  • Publish Date: May 2019
  • Dimensions: 10 x 7 x 0.63 inches
  • Shipping Weight: 1.43 pounds
  • Page Count: 320

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