Correlation and Regression (2nd ed.)

Applications for Industrial Organizational Psychology and Management

Philip Bobko ,

 
Tap to preview
Correlation and Regression: Applications for Industrial Organizational Psychology and Management

About the eBook

". . . the writing makes this book interesting to all levels of students. Bobko tackles tough issues in an easy way but provides references for more complex and complete treatment of the subject. . . . there is a familiarity and love of the material that radiates through the words."

--Malcolm James Ree, ORGANIZATIONAL RESEARCH METHODS, April 2002

"This book provides one of the clearest treatments of correlations and regression of any statistics book I have seen. . . . Bobko has achieved his objective of making the topics of correlation and regression accessible to students. . . . For someone looking for a very clearly written treatment of applied correlation and regression, this book would be an excellent choice."

--Paul E. Spector, University of South Florida

"As a quantitative methods instructor, I have reviewed and used many statistical textbooks. This textbook and approach is one of the very best when it comes to user-friendliness, approachability, clarity, and practical utility."

--Steven G. Rogelberg, Bowling Green State University

Building on the classical examples in the first edition, this updated edition provides students with an accessible textbook on statistical theories in correlation and regression. Taking an applied approach, the author uses concrete examples to help the student thoroughly understand how statistical techniques work and how to creatively apply them based on specific circumstances they face in the "real world."

The author uses a layered approach in each chapter, first offering the student an intuitive understanding of the problems or examples and progressing through to the underlying statistics. This layered approach and the applied examples provide students with the foundation and reasoning behind each technique, so they will be able to use their own judgement to effectively choose from the alternative data analytic options.

Show more



In The Press


About the Author


  • Publisher:
  • Published: ; Copyright:
  • ISBN:
  • Edition:
  • Title:
  • Series:
  • Author:
  • Imprint:
  • Language:
  • Number of Pages:  [disclaimer] Page count shown is an approximation provided by the publisher. The actual page count will vary based on various factors such your device's screen size and font-size.

Read online

You can read this ebook online in a web browser, without downloading anything or installing software.

Download file formats

This ebook is available in file types:

This ebook is available in:

After you've bought this ebook, you can choose to download either the PDF version or the ePub, or both.

DRM Free

The publisher has supplied this book in DRM Free form with digital watermarking.

Required software

You can read this eBook on any device that supports DRM-free EPUB or DRM-free PDF format.

Digital Rights Management (DRM)

The publisher has supplied this book in encrypted form, which means that you need to install free software in order to unlock and read it.

Required software

To read this ebook on a mobile device (phone or tablet) you'll need to install one of these free apps:

To download and read this eBook on a PC or Mac:

  • Adobe Digital Editions (This is a free app specially developed for eBooks. It's not the same as Adobe Reader, which you probably already have on your computer.)

Limits on printing and copying

The publisher has set limits on how much of this ebook you may print or copy. See details.

  • {{ format_drm_information.format_name }} unrestricted {{ format_drm_information.format_name }} {{format_drm_information.page_percent}}% pages every day{{format_drm_information.interval}} days {{ format_drm_information.format_name }} off
Read Aloud
  • {{ read_aloud_information.format_name }} on {{ read_aloud_information.format_name }} off
Categories
  •  > 
ISBNs