Cronbach Alpha is a reliability test conducted within SPSS in order to measure the internal consistency i.e. reliability of the measuring instrument (Questionnaire).
We have already discussed about factor analysis in previous article (Factor Analysis using SPSS), and how it should be conducted using SPSS. In this article we will be discussing about how output of Factor analysis can be interpreted.
Factor analysis is used to find factors among observed variables. In other words, if your data contains many variables, you can use factor analysis to reduce the number of variables.
If you want to test whether the % of people who report themselves to be very happy has changed during the time that the test has been conducted. A special case of the chi square test for independence is the test.
A chi square (X2) statistic is used to investigate whether distributions of categorical variables differ from one another. Categorical variables like; gender of sample population which could be either male or female.
When using this statistical test, you are testing the null hypothesis that 2 population means (average) are equal. The alternative hypothesis is that they are not equal.
In my previous article “Introducing Data” we discussed about importing files and creation of data sheet in SPSS. Moving further, in this article I will be discussing about the most basic technique which can be applied within SPSS i.e. Frequency Testing.