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.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Home library	Collection	Call number	Copy number	Status	Date due	Barcode
Open Books	MCHS LIBRARY--LL Malawi College Of Health General Stacks	MCHS LIBRARY--LL Malawi College Of Health General Stacks	Non-fiction	W 100 Bor 2018 (Browse shelf(Opens below))	1	Available		L12878

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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