From this subject, two significant variables of distributive and procedural justice may be analyzed related to their influence on job satisfaction. The two sets of null and alternative hypothesis may be stated as follows:
The null: distributive justice is a key indicator of the level of job satisfaction in organizations
The alternative hypothesis: distributive justice is not a key indicator of the level of job satisfaction in organizations
These variables are measured through a research methodology format that involves the use of self administered questionnaires to various respondents working in a particular sampled organization (Abraham, 2009). The first part of the questionnaire may contain the demographics; the other two sections will eventually contain the questions pertaining to both distributive justice as well as job satisfaction (Organ & Ryan 1995). The participants of the study the so called respondents will therefore be expected to score the factors in their order of importance in a scale that may range from 1 to 4 where 1= strongly disagree, 2= Disagree, 3=Neutral and 4 may mean those who may agree with the statement under review. All the results are then edited, cleaned and entered in the relevant statistical packages where the relationships between distributive justice and job satisfaction are explored through the various relevant tests including the means, Pearson’s correlations as well as the analysis of the demographic characteristics of the sampled population.
The strength of the associations is ascertained and is either categorized as either weak, strong or no correlations. The relationships can also be categorized as either positive or negative depending on their nature. For example if found to be so, it can be said that there is a positive relationship between distributive justice and job satisfaction in a particular study (Weiss, 1999). The level of significance of the study as well as the confidence interval is predetermined by the investigators prior to carrying out the research as well as in the statistical package used. The values of the independent t- test may be computed as well to ascertain the contribution of distributive justice to the model being investigated.
The multiple regression equation may be used to predict the further relationships between the variables as the predictor of the other. Consequently, a simple linear equation model may be used in the form of Y=mx +c where y is the job satisfaction level being predicted and x being the distributive justice which is the major predictor of employee’s level of job satisfaction. C is the constant while m is the obtained gradient which is also a major determinant in its prediction (Organ & Ryan 1995).