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Big Data at Work : The Data Science Revolution and Organizational Psychology.

By: Tonidandel, Scott.
Contributor(s): King, Eden B | Cortina, Jose M.
Material type: TextTextSeries: SIOP Organizational Frontiers Series: Publisher: London : Taylor and Francis, 2015Copyright date: ©2016Description: 1 online resource (382 pages).Content type: text Media type: computer Carrier type: online resourceISBN: 9781315780504.Subject(s): Big dataGenre/Form: Electronic books.Additional physical formats: Print version:: Big Data at Work : The Data Science Revolution and Organizational PsychologyDDC classification: 302.35 LOC classification: HD58.7.B534 2016Online resources: Click here to view book
Contents:
Cover -- Title -- Copyright -- Dedication -- Contents -- Foreword -- Chapter 1 Building Understanding of the Data Science Revolution and I-O Psychology -- Part I Big Issues for Big Data Methods -- Chapter 2 A Big Data Platform for Workforce Analytics -- Chapter 3 Statistical Methods for Big Data: A Scenic Tour -- Chapter 4 Twitter Analysis: Methods for Data Management and a Word Count Dictionary to Measure City-level Job Satisfaction -- Chapter 5 Data Visualization -- Chapter 6 Sensing Big Data: Multimodal Information Interfaces for Exploration of Large Data Sets -- Part II Big Ideas for Big Data in Organization -- Chapter 7 Implications of the Big Data Movement for the Advancement of I-O Science and Practice -- Chapter 8 Big Data in Talent Selection and Assessment -- Chapter 9 Big Data in Turnover and Retention -- Chapter 10 Using Big Data to Advance the Science of Team Effectiveness -- Chapter 11 Using Big Data to Create Diversity and Inclusion in Organizations -- Chapter 12 How Big Data Matter -- Contributors -- Index.
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Item type Current location Call number URL Status Date due Barcode
Electronic Book UT Tyler Online
Online
HD58.7.B534 2016 (Browse shelf) http://ebookcentral.proquest.com/lib/uttyler/detail.action?docID=4185877 Available EBC4185877

Cover -- Title -- Copyright -- Dedication -- Contents -- Foreword -- Chapter 1 Building Understanding of the Data Science Revolution and I-O Psychology -- Part I Big Issues for Big Data Methods -- Chapter 2 A Big Data Platform for Workforce Analytics -- Chapter 3 Statistical Methods for Big Data: A Scenic Tour -- Chapter 4 Twitter Analysis: Methods for Data Management and a Word Count Dictionary to Measure City-level Job Satisfaction -- Chapter 5 Data Visualization -- Chapter 6 Sensing Big Data: Multimodal Information Interfaces for Exploration of Large Data Sets -- Part II Big Ideas for Big Data in Organization -- Chapter 7 Implications of the Big Data Movement for the Advancement of I-O Science and Practice -- Chapter 8 Big Data in Talent Selection and Assessment -- Chapter 9 Big Data in Turnover and Retention -- Chapter 10 Using Big Data to Advance the Science of Team Effectiveness -- Chapter 11 Using Big Data to Create Diversity and Inclusion in Organizations -- Chapter 12 How Big Data Matter -- Contributors -- Index.

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Author notes provided by Syndetics

<p>Scott Tonidandel is Associate Professor, Department of Psychology, Davidson College, NC. He received his PhD in Industrial Organizational Psychology from Rice University in 2001. He teaches courses in Psychological Research, Design and Analysis, Research Methods and Issues in Psychology. His research includes issues related to computerized testing, and statistical and methodological issues.</p> <p> Eden B. King is Associate Professor of Industrial Organizational Psychology at George Mason University. She earned her PhD from Rice University in 2006. Her research is mostly in the area of diversity, inclusion, and women in business. She is currently the Associate Editor of the Journal of Management and the Journal of Business and Psychology. She is also on the Editorial Board of the Academy of Management Journal.</p> <p>Jose M. Cortina, Professor of Industrial Organizational Psychology at George Mason University, is President Elect of SIOP. He received his PhD in psychology from Michigan State University. He serves as Editor of the I-O research methods journal Organizational Research Methods. He has an outstanding publication record and a tremendously high level of visibility in this field.</p>

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