Question

Discuss the purpose of calculating measures of association. Pick any 5 measures of association and discuss the purpose of the analysis, the type of data used, and how the results are interpreted.

Answer 1

Step-1

Measure of association is a wide variety of Coffecient which major purpose is to measure the statistical strength of Relationship of variable wheather the variable are strongly or weekly associaited .The major used of measure of associaition is happened in epidomology and Psychology where they frequently quantify the relationship between exposure and diseases or behaiour .for exmple , what is relationship between drug addiction and anxiety behaiour .A measure of associaition may determined by several analysis like corelation analysis and regression analysis.

5 measure of association:

pearson corelation cofficent:

When we want measure the relationship between height and weight , each of these characterstics of two variable is measured on continous scale .The appropriate measure of associaition is Pearson corelation cofficent to know how much they have strengthfull corelation between two variable .interval/ ratio scale is used to analysis the relationship between two variable.The result are interpreted through taken value of r in perfect linear relationship which means value would be -1 to +1 .it indicates positive perfect relationship . 0 denotes no cotelation.it doesn't measure the strength of association of variable.

spearman rank order corelation which main purpose is to measure how much significantly associaited two variable to each other in ordinal scale . Data are collected through likert scale .if there is strengthfull rank between two variable , then they have significant Association between them otherwise not.

Chi-square :

The purpose of chi-square test is measure the significance of Association rather measure strength of Association.nominal and ordinal type of data used .There will squre in observed frequency and expected frequency in calculation chi - square for interpreting result.