Limit this search to....

Data Analysis for the Social Sciences: Integrating Theory and Practice
Contributor(s): Bors, Douglas (Author)
ISBN: 1446298485     ISBN-13: 9781446298480
Publisher: Sage Publications Ltd
OUR PRICE:   $69.30  
Product Type: Paperback - Other Formats
Published: February 2018
Qty:
Additional Information
BISAC Categories:
- Social Science | Statistics
- Social Science | Methodology
- Psychology | Research & Methodology
Dewey: 300.151
LCCN: 2017939133
Physical Information: 1.5" H x 7.3" W x 9.1" (2.60 lbs) 664 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
Accessible, engaging, and informative, this text will help any social science student approach statistics with confidence.

With a well-paced and well-judged integrated approach rather than a simple linear trajectory, this book progresses at a realistic speed that matches the pace at which statistics novices actually learn. Packed with global, interdisciplinary examples that ground statistical theory and concepts in real-world situations, it shows readers not only how to apply newfound knowledge using IBM(R) SPSS(R) Statistics, but also why they would want to. Spanning statistics basics like variables, constants, and sampling to t-tests, multiple regression, and factor analysis, it builds statistical literacy while also covering key research principles like research questions, error types, and results reliability.

Readers will learn how to:
  • Describe data with graphs, tables, and numbers
  • Calculate probability and value distributions
  • Test a priori and post hoc hypotheses
  • Conduct Chi-squared tests and observational studies
  • Structure ANOVA, ANCOVA, and factorial designs
Supported by extensive visuals and a companion website with interactive demonstrations, author video, and practice datasets, this book is the student-focused companion to support learners through their statistics journeys.

Contributor Bio(s): Bors, Douglas: -

Dr. Douglas Alexander Bors is currently an Associate Professor Emeritus at the University of Toronto, the institution from which he received his Ph.D. For over three decades he has taught courses in statistics at the undergraduate and graduate levels ranging from the introductory level to multivariate statistics and structural equation modelling. He is also the Dean's Designate for Matter of Academic Integrity. He has served as a reviewer for several scholarly journals and has been a regular reviewer for Personality and Individual Differences. During his career his empirical research focused on problem solving and abstract reasoning. The short-form of the Advanced Raven's Progressive Matrices that he developed with Tonya Stokes is a widely used research instrument. Over the years he has acted as a consultant for major pharmaceutical firms as well as survey and marketing companies. Currently he is retained as a design and analysis consultant for a major marketing firm.