By Professor Shalom Schwartz
This module contains five chapters, which are briefly described below. It is recommended that you start with the first chapter, and then proceed chronologically. In this way you will develop your skills gradually.
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This is mainly a theoretical chapter, presenting the Values Theory. Because the whole module revolves around this theory, you should spend some time studying this chapter. Keywords for the exercises: frequency, compare means, correlation.
The fundamental question raised in this chapter is “how are values shaped?” You will approach this question by investigating how some variables are related to people’s values. Keywords for the exercises: correlation, linear regression.
Do people’s value priorities influence their behaviour in systematic, predictable ways? This is the critical claim to fruitfulness in the application of the Values Theory. The focus is on values as a motivator for behaviour. Keywords for the exercises: correlation, linear regression.
This chapter goes into detail about how the ten values are measured, and it illustrates how data might be prepared for analysis. To be able to do the exercises in this chapter, you need to download data. Keywords: operationalisation, recode, compute, index, reliability.
In the last chapter, the ten values are summarized along two dimensions, creating four higher-order values. Keywords: aggregate, reliability, index and scatter gram.