A practical, accessible guide for using SPSS in doing data analysis. Designed to work across disciplines, the authors have provided a number of SPSS "step-by-step" examples in most chapters showing the user how to plan a study, prepare data for analysis, perform the analysis and interpret the output from SPSS. In addition, the authors provide helpful hints and insights through the features "Tips and Caveats" and "Sidebar." The 2nd edition includes two new chapters -- "Creating and Using Graphs" and "Factor Analysis." In addition, a new section on Syntax has been included in an appendix....
A practical, accessible guide for using SPSS in doing data analysis. Designed to work across disciplines, the authors have provided a number of SPS...
Virtually any random process developing chronologically can be viewed as a time series. In economics closing prices of stocks, the cost of money, the jobless rate, and retail sales are just a few examples of many. Developed from course notes and extensively classroom-tested, Applied Time Series Analysis with R, Second Edition includes examples across a variety of fields, develops theory, and provides an R-based software package to aid in addressing time series problems in a broad spectrum of fields. The material is organized in an optimal format for graduate students in statistics...
Virtually any random process developing chronologically can be viewed as a time series. In economics closing prices of stocks, the cost of money, t...