Data analysis for the social sciences : integrating theory and practice / Douglas Bors.

By:

Bors, Douglas Alexander, 1950- [author.]

Material type: Text

TextPublisher: Los Angeles; London : SAGE, 2018Description: xv, 642 pages : illustrations ; 24 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781446298480
1446298485
1446298477
9781446298473

Subject(s):

DDC classification:

300.15195 23

LOC classification:

H62 .B61725 2018

Partial contents:

Part I: The foundations -- Part II: Basic research designs -- Part III: Analysing complex designs.

Summary: 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® SPSS® 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.

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Holdings
Item type	Current library	Home library	Call number	Copy number	Status	Date due	Barcode
Books	Chinhoyi University of Technology Libraries	Chinhoyi University of Technology Libraries	HB 62 BOR (Browse shelf(Opens below))	c.045828	Available		BK00459273

Includes bibliographical references (pages 630-636) and index.

Part I: The foundations -- Part II: Basic research designs -- Part III: Analysing complex designs.

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® SPSS® 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.

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