3.6.2 Correlation Analysis
3.6.2 Correlation Analysis
Correlation analysis is one of the data analysis method use in quantitative research when researchers intended to examine the relationship between both variables (Research Methodology, n.d.). The Pearson’s Moment Correlation Coefficient (PMCC) ranges between +1 and -1.If the coefficient value is +1 and -1, it is an indication that the relationships between both variables are strong. A value of +1 indicate that there is a positive relationship between variables, means that an increase in A will directly affect an increase in B and vice versa. In contrast, a value of -1 indicate that there is a negative relationship between variables, means that an increase in A will directly affect a decrease of B and vice versa. However, when the coefficient falls between +1 and -1, it means that the relationship between variables is weak. Both variables are completely independent when the value of the correlation coefficient is 0, reflecting that the variables have no relationship between each other, and the changes of values of the variables do not affect each other (Learntech.uwe.ac.uk, n.d.). Data collected from respondents can be processed by using the software called Statistical Package for the Social Sciences (SPSS). In addition, researchers can …show more content…
This is actually where statistical inference comes into the picture, thus, by analysing our data with the aid of statistical inference, this enables us to understand the outcomes of our research and at the same time, assist us to design suitable inferences (Laake and Fagerland, 2015). Thus, statistical inference can be said to be a process or technique that inferences, suggestions or conclusions about a population are made established on particular characteristics calculated from a drawn data sample from the selected population (Johnson, Borkowf and Albert,
Correlation analysis is one of the data analysis method use in quantitative research when researchers intended to examine the relationship between both variables (Research Methodology, n.d.). The Pearson’s Moment Correlation Coefficient (PMCC) ranges between +1 and -1.If the coefficient value is +1 and -1, it is an indication that the relationships between both variables are strong. A value of +1 indicate that there is a positive relationship between variables, means that an increase in A will directly affect an increase in B and vice versa. In contrast, a value of -1 indicate that there is a negative relationship between variables, means that an increase in A will directly affect a decrease of B and vice versa. However, when the coefficient falls between +1 and -1, it means that the relationship between variables is weak. Both variables are completely independent when the value of the correlation coefficient is 0, reflecting that the variables have no relationship between each other, and the changes of values of the variables do not affect each other (Learntech.uwe.ac.uk, n.d.). Data collected from respondents can be processed by using the software called Statistical Package for the Social Sciences (SPSS). In addition, researchers can …show more content…
This is actually where statistical inference comes into the picture, thus, by analysing our data with the aid of statistical inference, this enables us to understand the outcomes of our research and at the same time, assist us to design suitable inferences (Laake and Fagerland, 2015). Thus, statistical inference can be said to be a process or technique that inferences, suggestions or conclusions about a population are made established on particular characteristics calculated from a drawn data sample from the selected population (Johnson, Borkowf and Albert,