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Lecture Notes For Pearsons Chi Square Test of Independence & Correlations

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This note is about understanding the relationships between variables using statistical methods, specifically focusing on correlations and tests for categorical variables. It begins by explaining that correlations measure the strength and direction of the relationship between two variables, The note then outlines the interpretation of different types of correlations. It provides guidance on how to perform a bivariate correlation analysis in SPSS, using the menu path

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Pearson's C hi - Square Correlations Associations
Test Independence between Variables

pearsons Chi squared test is a statistical correlations measure the strength and
test used to determine if there is a sig­ direction of the relationship between
nificant association between two categorical two variables
variables
SPSS: analyze > descriptive statistics a correlation coefficient ranges from -1
> cross tabs to 1 with 0 indicating no relationship +
values show a + relationship, while -

Fishers Exact Test is a statistical method values indicate a - relationship
used to determine the significance of associ-
ation between two categorical variables in Positive Correlation:

a table with small sample sizes means that as one
variable increases
the other variable
also increases


Negative Correlation :

means that as one
variable increases
the other decrea­
ses

No Correlation..

means there is no
relationship betw-
een two variables



SPSS: analyze > correlate > bivariate

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