ABSTRACT
This chapter introduces regression and multiple regression, what they are and how to use them, and, arising from these, the need for standardized scores and how they can be calculated. The chapter includes: regression analysis (prediction tests for parametric data); simple linear regression (predicting the value of one variable from the known value of another variable); multiple regression (calculating the different weightings of independent variables on a dependent variable) for parametric and non-parametric data; and standardized scores (used in calculating regressions and comparing sets of data with different means and standard deviations). The chapter indicates when these statistics can and cannot be used, how to decide which statistics to use, and the ‘safety checks’ required before proceeding to use each statistic. It provides worked examples of each of these statistics, together with the SPSS command sequences for working with the statistics included in the chapter, worked examples of how to analyse SPSS tables of output and examples of how to report results using the different statistics in this chapter.
