This Second Edition appeals to contemporary users of SPSS by updating the references to the software which has evolved to version 12.0 from the older version 7.5. An Introductory Guide to SPSS for Windows covers the following critical basic skills: how to create data sets by defining and coding data, using a codebook and entering data; how to run SPSS and work with different SPSS files; how to manipulate data by recoding values, computing values, and selecting subsets of cases to include in an analysis; how to manage data files by reading data that have been entered using other software, appending files and merging files; how to analyze data using SPSS pull-down menus; and how to analyze data using programs written in SPSS syntax.
This is a lively textbook for an introductory course in numerical methods, MATLAB, and technical computing, which emphasises the informed use of mathematical software. Numerical Computing with MATLAB helps readers learn about the mathematical functions in MATLAB, how to appreciate their limitations, and how to use and modify them appropriately. ......
An SPSS Companion to Political Analysis introduces SPSS using actual political data, getting students to employ the tools of their methods course right away in the computer lab. With more than 110 screen shots, straightforward instructions, and customised data sets - for both students and full versions of SPSS - the workbook companion equips ......
`This book is to be commended, particularly, for putting the tool of statistics into the familiar context of a research study. In so doing it emphasizes the neglected pre-analysis stages of a research study. Indeed the performing of a data analysis, this book reminds us, should be the mere icing on an already well cooked cake' - Psychology Learning & Teaching Doing Statistics With SPSS is derived from the authors' many years of experience teaching undergraduates data handling using SPSS. It assumes no prior understanding beyond that of basic mathematical operations and is therefore suitable for anyone undertaking an introductory statistics course as part of a science based undergraduate programme. The text will: enable the reader to make informed choices about what statistical tests to employ; what assumptions are made in using a particular test; demonstrate how to execute the analysis using SPSS; and guide the reader in his/her interpretation of its output. Each chapter ends with an exercise and provides detailed instructions on how to run the analysis using SPSS release 10. Learning is further guided by pointing the reader to particular aspects of the SPSS output and by having the reader engage with specified items of information from the SPSS results. This text is more complete than the alternatives that usually fall into one of two camps. They either provide an explanation of the concepts but no instructions on how to execute the analysis with SPSS, or they are a manual which instructs the reader on how to drive the software but with minimal explanation of what it all means. This book offers the best elements of both in a style that is economical and accessible. Doing Statistics with SPSS will be essential reading for undergraduates in psychology and health-related disciplines, and likely to be of invaluable use to many other students in the social sciences taking a course in statistics.
Provides sophisticated numerical methods for the fast and accurate solution of a variety of equations, including ordinary differential equations, delay equations, integral equations, functional equations, and some partial differential equations, as well as boundary value problems. It introduces many modeling techniques and methods for analyzing ......
`This book is to be commended, particularly, for putting the tool of statistics into the familiar context of a research study. In so doing it emphasizes the neglected pre-analysis stages of a research study. Indeed the performing of a data analysis, this book reminds us, should be the mere icing on an already well cooked cake' - Psychology Learning & Teaching Doing Statistics With SPSS is derived from the authors' many years of experience teaching undergraduates data handling using SPSS. It assumes no prior understanding beyond that of basic mathematical operations and is therefore suitable for anyone undertaking an introductory statistics course as part of a science based undergraduate programme. The text will: enable the reader to make informed choices about what statistical tests to employ; what assumptions are made in using a particular test; demonstrate how to execute the analysis using SPSS; and guide the reader in his/her interpretation of its output. Each chapter ends with an exercise and provides detailed instructions on how to run the analysis using SPSS release 10. Learning is further guided by pointing the reader to particular aspects of the SPSS output and by having the reader engage with specified items of information from the SPSS results. This text is more complete than the alternatives that usually fall into one of two camps. They either provide an explanation of the concepts but no instructions on how to execute the analysis with SPSS, or they are a manual which instructs the reader on how to drive the software but with minimal explanation of what it all means. This book offers the best elements of both in a style that is economical and accessible. Doing Statistics with SPSS will be essential reading for undergraduates in psychology and health-related disciplines, and likely to be of invaluable use to many other students in the social sciences taking a course in statistics.
This second edition of the successful SAS Programming for Researchers and Social Scientists has been updated to the latest SAS releases, and thoroughly revised to provide readers with even more practical tips and advice. Paul Spector takes a problem solving approach that focuses on common programming tasks encountered during data analysis. He uses ......
This second edition of the successful SAS Programming for Researchers and Social Scientists has been updated to the latest SAS releases, and thoroughly revised to provide readers with even more practical tips and advice. Paul Spector takes a problem solving approach that focuses on common programming tasks encountered during data analysis. He uses ......
LAPACK is a library of numerical linear algebra subroutines designed for high performance on workstations, vector computers and shared memory multiprocessors. Release 3.0 of LAPACK introduces new routines and extends the functionality of existing routines. The most significant new routines and functions include: 1) a faster singular value ......
