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SPSS Basics, seventh edition, is the ideal introduction to the SPSS software for students undertaking their first statistics or quantitative research project. Each chapter presents different analyses and/or graph techniques step by step with figures to correspond to the steps. The book also uses examples and exercises to enable students to apply the techniques learned to their own data. Each chapter also presents statistical concepts to serve as background knowledge for each analysis. The book also features information unique to SPSS software users. SPSS command summaries are provided at the end of each chapter for quick reference. Another unique feature is that outputs are discussed extensively, giving the meaning of each output and highlighting other important information. Most importantly, each chapter follows the format of (1) understanding SPSS Statistics output(s), (2) formatting for research reports, and (3) interpreting the SPSS output. This gives the user a thorough understanding of each analysis presented in the book. In some chapters, references are given to published articles to see additional examples. Because of these unique features, the book can be used as a self-guided manual in hybrid or online courses or as a textbook in an in-person introductory statistics course at undergraduate or graduate levels. For greater conceptual understanding of the analyses covered in the book, refer to Making Sense of Statistics, eighth edition (Routledge, 2023). New to the seventh editionChapter objectives at the beginning of each chapter. Concise step-by-step instructions for analysis with detailed examples in figures. Extensive discussions on understanding the SPSS Statistics output at the end of each chapter. A guide to formatting the SPSS Statistics output for a research report for each analysis. A discussion on interpreting the SPSS Statistics output at the end of each chapter. A guide to statistical information for conceptual understanding of statistics. A guide to the SPSS software information that discusses the unique features of the SPSS software. A guide to SPSS command summary for each analysis. This edition includes extensive use of screenshots, all of which have been updated to reflect the new look of the current edition of IBM SPSS Statistics Version 29.
Roehl Sybing
Audrey R. Giles
Serena Quarta
David Doane, Lori Seward
Peter A. Rogerson
Gouri K. Bhattacharyya, Richard A. Johnson
Norean Sharpe, Paul Velleman, Richard De Veaux
Douglas Lind, Samuel Wathen, William Marchal
Alan Zimmerman, Jim Blythe, Nektarios Tzempelikos
David Coghlan
Bonita M. Kolb
Craig K. Enders
Katsuhiko Shimizu
Matthew Loveless
Paul Wilkins, Pete Sanders
D. V. Lindley, W. F. Scott
Wolfgang Garn
Philip O'Regan
Felix C. ) Tropf, Melinda C. Mills, Nicola Barban
Bernard Grofman
Maria Elena Torre, Michelle Fine
Ivory A. Toldson
Sarah Easter Collins
Frida Skybäck
Liz Moore
Colleen Hoover
Kristin Fägerskjöld
Armando Lucas Correa
Sharon Bolton
Ruth Lillegraven
Santa Montefiore
Kelly Rimmer
Martha Hall Kelly
Svenja O'Donnell
Nathan Harris
Holly Jackson
Louise Boije af Gennäs
Tina Norin
Kristin Fägerskjöld
Pernilla Lindroos
Anna Lönnqvist
Jessie Burton
Malin Nordström
Marc Levy
Emma Donoghue
Snezana Lindskog, Andie Lindskog
Tony Samuelsson
Andrev Walden
Tina Harnesk
Kathrine Nedrejord
Anthony Doerr
Marieke Lucas Rijneveld
Lauren Groff
Claire Messud
Claire Lynch
Sebastian Barry
Ray Celestin
Simon Stranger
Alice Munro
Linda Boström Knausgård
Marit Kapla
Ulf Stark
Sarah Easter Collins
Liz Moore
Ursula Scavenius
Colleen Hoover
Michel Jean
