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

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

Current price: $108.79
Original price: $136.00
Visit retailer's website
Practical Statistics: A Quick and Easy Guide to IBM® SPSS® Statistics, STATA, Other Statistical Software

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

Current price: $108.79
Original price: $136.00
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Size: Kobo eBook

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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.
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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