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Indra Giri and Priya Chetty on March 14, 2017 6 Comments
The normal linear regression analysis and the ANOVA test are only able to take one dependent variable at a time. So one cannot measure the true effect if there are multiple dependent variables. In such cases multivariate analysis can be used.
It measures the correlations between two or more numeric variables. There are two types of correlations; bivariate and partial correlations. While Bivariate Correlations are computed using Pearson/Spearman Correlation Coefficient wherein it gives the measure of correlations between variables or rank orders.
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.
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Priya Chetty and Shruti Datt on February 2, 2015 No Comments
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.