Using SPSS for Windows: Data Analysis and Graphics

Abstract

This book is a self-teaching guide to the SPSS for Windows computer application. It is designed to be used with SPSS version 13.0, although many of the procedures are also applicable to earlier versions of SPSS. The step-by-step format of this manual "walks" the reader through numerous examples, illustrating how to use the application. The results produced in SPSS are shown and discussed in most examples. Each chapter demonstrates statistical procedures and provides exercises to reinforce the text examples. This book may be used in two ways-as a stand-alone manual for a student learning to use SPSS for Windows or in a course together with a basic statistics text. As a stand-alone manual, it is assumed that the reader is familiar with the basic ideas of quantitative data and statistical analysis. Thus, statistical terminology is used without providing extensive definitions. Most of the applications in this book are self-explanatory, although the reader will need to refer to a text for extensive discussion of statistical theory and procedures. This book can also be an invaluable part of an undergraduate or graduate statistics course with a computer component and can be used easily with any elementary statistics book (e.g., The New Statistical Analysis of Data by Anderson and Finn, Elements of Statistical Inference by Huntsberger and Billingsley, Understanding Statistics by Mendenhall and Ott, or Introduction to the Practice of Statistics by Moore and McCabe). This manual provides handson experience with data sets, illustrates the results of each type of analysis described, and offers exercises for students to complete as homework assignments. The data sets used as examples are of general interest and come from many fields, for example, education, psychology, sociology, health, and sports. An instructor may choose to use the exercises as additional class assignments or in computer laboratory sessions. Complete answers to the VI P REFACE exercises are available to instructors from the publisher. Chapter 1 of this guide describes how to start the SPSS application and how to create, upload, and manipulate data files. Chapters 2 through 6 address descriptive statistics, and chapters 10 through 15 address inferential statistics. Chapters 7 through 9 discuss probability and are included primarily to illustrate the bridge between descriptive and inferential statistics. If this manual is used strictly to teach (or learn) SPSS, these chapters may not be relevant. This manual uses SPSS for Windows, Version 13.0. System requirements include: Microsoft Windows 98, Me, NT® 4.0, 2000 or XP operating system, Pentium®-class processor, 200MB hard drive space (for the SPSS Base only), at least 128MB RAM, and an SVGA monitor. Information on installing SPSS is provided with the software. The application includes a comprehensive Help facility; the user need only click on Help on the main menu bar within the open application.

Sustainability Initiatives and Failure Risk of a Firm: How Are They Linked?

“…Thus, the results obtained in this study indicate the strength of association to be well above the majority of what the extant literature has found. Still, by classical statistical standards, the correlations in this study can be considered weak, as the breakeven between weak and moderate has been noted to be 0.3 (see Gerber and Finn 2005). The models were free from multicollinearity threat, as the highest correlation between variables (independent and control) did not exceed 0.4 threshold in this study.…”

Psychometrics validation of the Chinese version of social support for exercise scale among adolescents in China

“…This criterion was employed to decide whether to retain or exclude an item from the analysis [28]. A combination of fit criteria has been suggested to evaluate the model fit [29]. These model fit criteria include the Bentler-Bonnet Comparative fit index (CFI), Tucker and Lewis index (TLI), Root means square error of approximation (RMSEA), probability RMSEA, and standardized root mean square residual (SRMR).…”

An epidemiological survey of the magnitude and local perceptions of porcine cysticercosis by two methods in Nyaruguru district, Rwanda

“…The Statistical Package for Social Sciences (SPSS Version 25), (Gerber and Finn, 2013;Mehta and Patel, 2010;Weinberg and Abramowitz, 2016) was used for statistical analysis of the data. The Pearson Chi-square test of independence was used to examine differences between categorical variables and p < .05 was considered significant.…”