- #SPSS STATISTICS ESSENTIAL TRAINING HOW TO#
- #SPSS STATISTICS ESSENTIAL TRAINING FULL#
- #SPSS STATISTICS ESSENTIAL TRAINING PLUS#
- #SPSS STATISTICS ESSENTIAL TRAINING WINDOWS#
*Online supplement providing data, code, and syntax for the book's examples. *Appendix that presents documentation on use and features of PROCESS.
#SPSS STATISTICS ESSENTIAL TRAINING HOW TO#
Unique features include: *Compelling examples (presumed media influence, sex discrimination in the workplace, and more) with real data boxes with SAS, SPSS, and PROCESS code and loads of tips, including how to report mediation, moderation and conditional process analyses.
#SPSS STATISTICS ESSENTIAL TRAINING PLUS#
The companion website (offers free downloads of PROCESS plus data files for the book's examples. Of special value, the book introduces and documents PROCESS, a macro for SPSS and SAS that does all the computations described in the book.
Examples using data from published studies illustrate how to conduct and report the analyses described in the book. Relying on the principles of ordinary least squares regression, Andrew Hayes carefully explains the estimation and interpretation of direct and indirect effects, probing and visualization of interactions, and testing of questions about moderated mediation. Procedures are described for testing hypotheses about the mechanisms by which causal effects operate, the conditions under which they occur, and the moderation of mechanisms. Hayes Explaining the fundamentals of mediation and moderation analysis, this engaging book also shows how to integrate the two using an innovative strategy known as conditional process analysis. Introduction to Mediation, Moderation, and Conditional Process Analysis by Andrew F. Data sets employed in the examples are available on the book's CRC Press web page. The SPSS syntax files used for executing the statistical tests can be found in the appendix.
#SPSS STATISTICS ESSENTIAL TRAINING WINDOWS#
New to the Second Edition Three new chapters on multiple discriminant analysis, logistic regression, and canonical correlation New section on how to deal with missing data Coverage of tests of assumptions, such as linearity, outliers, normality, homogeneity of variance-covariance matrices, and multicollinearity Discussions of the calculation of Type I error and the procedure for testing statistical significance between two correlation coefficients obtained from two samples Expanded coverage of factor analysis, path analysis (test of the mediation hypothesis), and structural equation modeling Suitable for both newcomers and seasoned researchers in the social sciences, the handbook offers a clear guide to selecting the right statistical test, executing a wide range of univariate and multivariate statistical tests via the Windows and syntax methods, and interpreting the output results. This second edition now covers more topics and has been updated with the SPSS statistical package for Windows. Handbook of Univariate and Multivariate Data Analysis with IBM SPSS by Robert Ho Using the same accessible, hands-on approach as its best-selling predecessor, the Handbook of Univariate and Multivariate Data Analysis with IBM SPSS, Second Edition explains how to apply statistical tests to experimental findings, identify the assumptions underlying the tests, and interpret the findings. It is suitable for all students who need to do statistical analysis using SPSS in various departments including Psychology, Social Science, Business Studies, Nursing, Education, Health and Sport Science, Communication and Media, Geography, and Biology. Minimal prior knowledge is assumed, so the book is well designed for the novice user, but it will also be a useful reference source for those developing their own expertise in SPSS.
Their understanding of SPSS users' concerns, as well as a knowledge of the type of questions students ask, form the foundation of this book. The authors have many years of experience in teaching SPSS to students from a wide range of disciplines.
#SPSS STATISTICS ESSENTIAL TRAINING FULL#
Presented in full colour and with a fresh, reader-friendly layout, this fully updated new edition also comes with a companion website featuring an array of supplementary resources for students. The first edition of this popular book has been fully updated for IBM SPSS version 21 and also includes: chapters that explain bootstrapping and how this is used an introduction to binary logistic regression coverage of new features such as Chart Builder. A number of other helpful features are provided: regular advice boxes with tips specific to each test explanations divided into 'essential' and 'advanced' sections to suit readers at different levels frequently asked questions at the end of each chapter. It combines a step-by-step approach to each procedure with easy to follow screenshots at each stage of the process. Hinton Isabella McMurray Charlotte Brownlow SPSS Explained provides the student with all that they need to undertake statistical analysis using SPSS.
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