Practical Statistics

A Quick and Easy Guide to IBM® SPSS® Statistics, STATA, and Other Statistical Software

Nonfiction, Social & Cultural Studies, Social Science, Statistics, Reference & Language, Reference, Research
Cover of the book Practical Statistics by David Kremelberg, SAGE Publications
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Author: David Kremelberg ISBN: 9781506317915
Publisher: SAGE Publications Publication: March 18, 2010
Imprint: SAGE Publications, Inc Language: English
Author: David Kremelberg
ISBN: 9781506317915
Publisher: SAGE Publications
Publication: March 18, 2010
Imprint: SAGE Publications, Inc
Language: English

Making statistics—and statistical software—accessible and rewarding

This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in IBM® SPSS® Statistics, Stata, and other programs. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in IBM SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS.

This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioral sciences who need assistance in understanding the various statistical packages.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Making statistics—and statistical software—accessible and rewarding

This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in IBM® SPSS® Statistics, Stata, and other programs. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in IBM SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS.

This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioral sciences who need assistance in understanding the various statistical packages.

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