3.14 Data analyzing methods
There are several data analyzing methods for quantitative and
qualititative analysis.
The Microsoft excel,SPSS software and some other tools can be used
to analyze the collected data and translate them to useful information .
3.14.1 Bivariate Correlation and Regression
Bivariate correlation and regression are two methods used to
estimates the amount of relationship between two quantitative variables.
3.14.1.1 Pearson
Correlation
It is the most commonly used bivariate correlation technique. In
this relationship between two variables are analyze without considering which
is independent and which is dependent variable.
Eg:when one variable(x) increases the value , the other variable(Y) also
result in increasing of the value. The significance can be used to identify the
nature of the link between two variables (Figure 3.14.1.1 ) (r) is from -1 to
+1.(Figure 3.14.1.1 ) Significant
measurement
(Source : Dr.James Lani Blog.)
3.14.1.2 Liner regression
This method finds the impact between a dependent variable and
independent variables. The below formula
can be used and graph can be plotted accordingly ( Y = dependent variable=independent
variable, b=constant ,a= slope ).
Y = ax+b