3.14 Data analyzing methods

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