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"[This] is my "go to" book ... for concise and comprehensive information on how to run basic statistical analysis, interpret the output and accurately present the findings in written work." - Joan L. Ellis, Washington State University, USA
"This is not your usual SPSS guidebook! The text guides the reader through the research process from research question, to choice of appropriate statistics, to running SPSS, to interpretation of the SPSS output, and finally to writing up results. It should be very useful to applied researchers." - Richard Lomax, The Ohio State University, USA
"[This book] is appropriate for all levels of SPSS users in its transparency of the "how-to" process. At the same time, a comprehensive conceptual foundation is incorporated―such that it could be used nearly as a standalone statistics textbook." – Debbie Hahs-Vaughn, University of Central Florida, USA
"This textbook provides a step-by-step approach to using IBM SPSS to conduct various parametric and nonparametric analyses, from descriptive statistics to analysis of variance. The numerous visual displays, including screenshots and write-ups, make this textbook exceptional." - Tony Onwuegbuzie, Sam Houston State University, USA
"The authors present illustrative examples and screen shots to clarify the process of analyzing and interpreting data, thereby making this book an excellent resource for graduate students conducting research and professors teaching methods courses and statistics.” - Kathleen M.T. Collins, University of Arkansas, USA
"Using SPSS for Introductory Statistics as a guide through statistical analysis since 2003 has been a real lifesaver. Since I do not do statistical analysis every week, having a "cookbook" to help remind me of how to use SPSS quantitative data analysis software is extremely helpful." - David E. Gunderson, Washington State University, USA
Designed to help students analyze and interpret research data using IBM SPSS, this book describes the use of statistics in user-friendly, non-technical language to show readers how to choose the appropriate statistic based on the design, interpret output, and write about the results. The authors prepare readers for all of the steps in the research process, from design and data collection, to writing about the results. Discussions of writing about outputs, data entry and checking, reliability assessment, testing assumptions, and computing descriptive and inferential parametric and nonparametric statistics are included. SPSS syntax, along with the output, is provided for those who prefer this format.
The new edition features:
IBM SPSS for Introductory Statistics, Fourth Edition provides helpful teaching tools:
An ideal supplement for courses in either statistics, research methods, or any course in which SPSS is used, taught in departments of psychology, education, and other social and health sciences, this book is also appreciated by researchers interested in using SPSS for their data analysis.
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