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Nov 20, 2019 · The purpose of this guide is to provide both basic understanding of statistical concepts (know-why) as well as practical tools to analyse quantitative data in SPSS (know-how). We wanted to keep ...
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Jan 1, 2017 · Every user of this book can personally apply IBM SPSS® Statistics skillfully and correctly in analyzing different sorts of research data. Get a copy of the book straightaway. Discover the world's ...
54 Ordinary least squares linear regression (for your reference) • Ordinary least squares (OLS) or Linear regression is used to explain/predict the phenomenon of interest (continuous data)
Figure 9. Data Editor IBM SPSS Statistics data files are organized by cases (rows) and variables (columns). In this data file, cases represent individual respondents to a survey. Variables represent responses to each question asked in the survey. Reading IBM SPSS Statistics Data Files. IBM SPSS Statistics data files, which have a .sav file ...
Nov 21, 2024 · Working With Variables. Analysts may wish to use variables differently than the way they were originally collected. This section of the chapter will address three approaches for transforming variables: first, recoding variables, which permits transforming a continuous variable into an ordinal one or reducing the number of attributes in a variable to fewer, larger categories; second, creating ...
We could do this manually, but SPSS can do the hard work for us through the menu command . Transform > Recode into Different Variables. Choose this menu item, select the yearGroup variable from the list on the left hand side and give the Output Variable the name ‘targetYears’ and a sensible label and click ‘Change’.
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IBM® SPSS® Statistics 20 is a comprehensive system for analyzing data. SPSS Statistics can take data from almost any type of file and use them to generate tabulated reports, charts, and plots of distributions and trends, descriptive statistics, and complex statistical analyses. SPSS Statistics makes statistical analysis more accessible for ...