Employee’s Performance: BI-VARIATE ANALYSIS(1)

Testing of Hypotheses

The investigation of a bi-variate relationship is a vital step in explaining and testing the research hypothesis. A relationship of the two variables means that the distributions of values of the two variables are associated. In other words, the variation explained by one variable is patterned in such a manner that its variance is not randomly distributed in connection with other variables. In the context of a bi-variate relationship, the problem arises whether a relationship is real or has arisen by chance.

A bi-variate table is one in which two variables have been cross-classified. It consists of rows and columns. The categories of one variable are labeled for the rows and the categories of the second variable are labeled for the columns (Nachmias and Nachmias, 1992). Generally, significance of the relationship is examined by establishing a null hypothesis, in which it is assumed that there is no difference or no relationship between tow variables.

table7Do Recruitment-9
Table 7 presents the association between respondents’ opinion about training and development with employees’ conflict. Chi-square (5.95) shows a non-significant association between respondents’ opinion about training & development with employees’ conflict.