The multivariate social scientist : introductory statistics using generalized linear models / Graeme D. Hutcheson and Nick Sofroniou.

By:

Hutcheson, Graeme

Contributor(s):

Sofroniou, Nick

Material type: Text

TextSeries: Online access: SAGE SAGE Research Methods CorePublication details: London ; Thousand Oaks, Calif. : Sage Publications, 1999.Description: 1 online resource (xii, 276 pages) : illustrationsContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9780857021908
0857021907
9780857028075
0857028073
9780761952015
0761952012

Subject(s): Genre/Form:

Additional physical formats: Print version:: Multivariate social scientist.DDC classification:

300/.1/519535 22

LOC classification:

HA29 .H877 1999eb

Online resources:

Click here to access online

Contents:

Introduction; Data Screening; Ordinary Least-Squares Regression; Logistic Regression; Loglinear Analysis; Factor Analysis; Conclusion.

Summary: The Multivariate Social Scientist is the first accessible introduction to multivariate analysis and techniques for students, researchers and social scientists who need to know how to use multivariate methods.

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Holdings
Item type	Home library	Collection	Call number	Materials specified	Status	Date due	Barcode
Electronic-Books	OPJGU Sonepat- Campus	E-Books EBSCO			Available

Includes bibliographical references (pages 267-271) and index.

Print version record.

The Multivariate Social Scientist is the first accessible introduction to multivariate analysis and techniques for students, researchers and social scientists who need to know how to use multivariate methods.

Introduction; Data Screening; Ordinary Least-Squares Regression; Logistic Regression; Loglinear Analysis; Factor Analysis; Conclusion.

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