The second edition of this popular guide demonstrates the process of entering and analyzing data using the latest version of SPSS (12.0), and is also appropriate for those using earlier versions of SPSS. The book is easy to follow because all procedures are outlined in a step-by-step format designed for the novice user. Students are introduced to the rationale of statistical tests and detailed explanations of results are given through clearly annotated examples of SPSS output. Topics covered range from descriptive statistics through multiple regression analysis. In addition, this guide includes topics not typically covered in other books such as probability theory, interaction effects in analysis of variance, factor analysis, and scale reliability. Chapter exercises reinforce the text examples and may be performed for further practice, for homework assignments, or in computer laboratory sessions. This book can be used in two ways: as a stand-alone manual for students wishing to learn data analysis techniques using SPSS for Windows, or in research and statistics courses to be used with a basic statistics text. The book provides hands-on experience with actual data sets, helps students choose appropriate statistical tests, illustrates the meaning of results, and provides exercises to be completed for further practice or as homework assignments. Instructions are provided for using the World Wide Web to obtain the data sets to be analyzed. With this guide, students learn how to conduct reasonably sophisticated statistical analyses using SPSS while gaining insight into the nature and purpose of statistical investigation. Susan B. Gerber, Ph.D. is Assistant Professor of Education at State University of New York at Buffalo. She is director of the Educational Technology program and holds degrees in Statistics and Educational Psychology. Kristin Voelkl Finn, Ph.D. is Assistant Professor of Education at Canisius College. She teaches graduate courses in research methodology and conducts research on adolescent problem behavior.
Andy Field draws on his experience of teaching advanced statistics to extend existing SPSS windows texts to a higher level. He covers ANOVA, MANOVA, logistic regression, comparing means tests and factor analysis.
This text is designed to teach beginners how to use SPSS for Windows.
Samuel Green and Neil Salkind have written a text to specifically address these issues.
This textbook guides students through the most basic of SPSS techniques using step-by-step descriptions, presents statistical techniques and instruction on how to conduct statistical analyses, and explains in detail how to avoid all the ...
'An Introductory Guide to SPSS for Windows' develops SPSS skills through the use of sample programs that illustrate how to conduct the analyses typically found in an introductory statistics course.
This book provides readers with a greater understanding of a variety of statistical techniques along with the procedure to use the most popular statistical software package SPSS.
Using SPSS for Windows: Analyzing and Understanding Data
'Statistics Without Maths for Psychology' provides an accessible description of key statistical concepts and techniques needed by psychology students, avoiding as much maths as possible.
In a clear, readable, non-technical style, this book teaches beginners how to use the program, input and manipulate data, use descriptive analyses and inferential techniques, including: " t"-tests, analysis of variance, correlation and ...
This Third Edition uses updated General Social Survey (GSS) data sets and offers a robust SPSS primer in an appendix. The book is available in two formats: as a stand-alone text, or bundled with SPSS (Student Version).