Summary
Contents
Subject index
This practical, conceptual introduction to statistical analysis by award-winning teacher Andrew N. Christopher uses published research with inherently interesting social sciences content to help students make clear connections between statistics and real life. Using a friendly, easy-to-understand presentation, Christopher walks students through the hand calculations of key statistical tools and provides step-by-step instructions on how to run the appropriate analyses for each type of statistic in SPSS and how to interpret the output. With the premise that a conceptual grasp of statistical techniques is critical for students to truly understand why they are doing what they are doing, the author avoids overly formulaic jargon and instead focuses on when and how to use statistical techniques appropriately.
Predicting the Future : Univariate and Multiple Regression
Predicting the Future : Univariate and Multiple Regression
After reading this chapter, you will be able to
- Understand the components of a univariate regression equation
- Conduct a univariate regression analysis using SPSS
- Conduct and interpret SPSS output for a univariate regression equation
- Understand the components of a multiple regression equation
- Conduct a multiple regression equation using SPSS
- Conduct and interpret SPSS output for a multiple regression equation
In the previous chapter, we learned about the Pearson correlation coefficient (r). We discussed several uses for this statistical tool, one of which was that it is the basis for making predictions about one variable (called the outcome variable or criterion) based on information from a second variable (called the predictor variable). In that chapter, I promised you that we would expand on using ...
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