SPSS survival manual : a step by step guide to data analysis using IBM SPSS /
"The SPSS Survival Manual throws a lifeline to students and researchers grappling with this powerful data analysis software. In her bestselling manual, Julie Pallant guides you through the entire research process, helping you choose the right data analysis technique for your project. From the f...
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Main Authors: | |
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Published: |
Routledge,
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Publisher Address: | London : |
Publication Dates: | 2020. |
Literature type: | Book |
Language: | English |
Edition: | 7th edition. |
Subjects: | |
Summary: |
"The SPSS Survival Manual throws a lifeline to students and researchers grappling with this powerful data analysis software. In her bestselling manual, Julie Pallant guides you through the entire research process, helping you choose the right data analysis technique for your project. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, Julie discusses basic through to advanced statistical techniques. She outlines each technique clearly, providing step by step procedures for performing your analysis, a detailed guide to interpreting data output and examples of how to present your results in a report. For both beginners and experienced users in psychology, sociology, health sciences, medicine, education, business and related disciplines, the SPSS Survival Manual is an essential text. Illustrated with screen grabs, examples of output and tips, it is supported by a website with sample data and guidelines on report writing. This seventh edition is fully revised and updated to accommodate changes to IBM SPSS Statistics procedures, screens and output." -- Provided by publisher. |
Carrier Form: | xvi, 361 pages : illustrations, forms ; 26 cm |
Bibliography: | Includes bibliographical references (pages 353-357) and index. |
ISBN: |
9781760875534 (paperback) : 1760875538 (paperback) |
Index Number: | HA32 |
CLC: | C32-39 |
Call Number: | C32-39/P164/7th ed. |
Contents: | Part One: Getting started -- Part Two: Preparing the data file -- Part Three: Preliminary analyses -- Part Four: Statistical techniques to explore relationships among variables -- Part Five: Statistical techniques to compare groups. |