## How to interpret results from the correlation test?

By Riya Jain and Priya Chetty on September 19, 2019

Correlation is a statistical measure that helps in determining the extent of the relationship between two or more variables or factors. For example, growth in crime is positively related to growth in the sale of guns. Growth in obesity is positively correlated to growth in consumption of junk food. However, growth in environmental degradation is […]

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## Interpreting multivariate analysis with more than one dependent variable

By Indra Giri and Priya Chetty on March 14, 2017

In continuation to my previous article, the results of multivariate analysis with more than one dependent variable have been discussed in this article.

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## Multivariate analysis with more than on one dependent variable

By Indra Giri and Priya Chetty on March 14, 2017

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.

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## Correlation of variables in SPSS

By Priya Chetty on July 15, 2015

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.

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## Interpretation of factor analysis using SPSS

By Priya Chetty on February 5, 2015

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.

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## Factor analysis using SPSS

By Priya Chetty on February 4, 2015

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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