Chi-square and Adjusted Standardised Residual Analysis

In hypothesis testing, inference is made by comparing the computed test statistic and the critical value which rely on a specified level of significance and degrees of freedom. This paper examines various study variables to assess whether there exists an interdependency between relationship intimacy and these variables. The chi-square test, likelihood ratio test, the adjusted standardised residual, and the proposed benchmark methods are applied to determine the acceptance or rejection of the null hypothesis and the individual category contribution that enhanced the inference. The comparative analysis involves data collected from a survey conducted before the onset of the Covid-19 pandemic, during the Covid-19 lockdown period, and following the relaxation of post-Covid-19 lockdown measures spanning a duration of six weeks. The findings showed that the null hypothesis cannot be rejected implying that the study variables are independent of relationship intimacy for the periods under study. The adjusted standardised residual and the benchmark methods revealed that sexual intimacy and quarrel are the highest variable contributors to the acceptance of the null hypothesis.