The PASW Statistics 19 Guide to Data Analysis is a friendly introduction to both data analysis and PASW Statistics 19 (formerly SPSS Statistics), the world's leading desktop statistical software package. Easy-to-understand explanations and in-depth content make this guide both an excellent supplement to other statistics texts and a superb primary text for any introductory data analysis course. With this book, you'll learn how to describe data, test hypotheses, and examine relationships using PASW. Author Marija Noru is incorporates a wealth of real data, including the General Social Survey and studies of Internet usage, opinions of the criminal justice system, marathon running times, library patronage, and the importance of manners, throughout the examples and expanded chapter exercises. This unique combination of examples, exercises, and contemporary data gives you hands-on experience in analyzing data and makes learning about data analysis and statistical software relevant, unintimidating, and even fun! A data CD-ROM is included with this book.
IBM SPSS Statistics (18 and 19) Workbook
A new edition of the internationally successful, user-friendly guide that takes students and researchers through the often daunting process of analysing research data with the widely-used SPSS software package.
IBM SPSS is designed to help students learn how to analyze and interpret research.
Morrison, D. F. 1976. Multivariate statistical methods. 2nd ed. New York: McGraw-Hill. Mudholkar, G. S., Y. P. Chaubey, and C. C. Lin. ... O'Nan, Michael. 1971. Linear algebra. New York: Harcourt Brace Jovanovich. Pillai, K. C. S. 1967.
Shows how to conduct a range of univariate and multivariate statistical analysis using the Statistical Package for the Social Sciences, version 11.
Chapters 1 to 3 introduce new users to the SPSS Statistics interface, and to some of the many ways SPSS ... are using SPSS Statistics to take some of the time-intensive number-crunching out of data analysis (thus freeing us all up to do ...
Now updated for SPSS, this fifth edition is excellent supplement to any introductory statistics course.
A new edition of the internationally successful, user-friendly guide that takes students and researchers through the often daunting process of analysing research data with the widely-used SPSS software package.
Authors Thomas Pavkov and Kent Pierce have created a unique workbook/handbook to guide students through SPSS 11.0 for Windows.
ANALİZİ 221 Faktör Analizi Modeli 224 Temel Kavramlar 225 Faktör Analizi Uygulaması 227 Problem Tanımı 227 Korelasyon Analizi 229 Faktör Sayısının Belirlenmesi 230 Faktör eksen döndürme 235 ÖZET 242 ÇALIŞMA VE TARTIŞMA ...