The Cronbach’salpha for intrinsic rewards index is 0.8228, for extrinsic rewards index is0.7197 and for employee satisfaction index is 0.856, a high Cronbach alpha forboth intrinsic, extrinsic rewards and motivation index confirms reliability ofthe questionnaire.
Factor analysishas been conducted to reduce large amount of questions into few variables, itis a tool that helps analysing correlations amongst variables by selecting setof variables which are highly correlated, also known as factors (Minitab,2017). Based on data collected it is important to focus on factors which can berelevant for further research, therefore important factors which have highloadings have been extracted using factor analysis given below in table 2.Experimental studies from(Wieringa el al, 2009) suggest that factor analysis can be conducted withsample sizes below 50, this study is also in agreement with the theoreticalframework from (MacCallum et al,1999) which states that lower sample sizes lessthan 12 are needed if the factor loadings are higher than 0.9 , even with highnumber of factors . A lager number of variables greater than 12 are required when factor loadings are between 0.7 and 0.8.
For this research sample size of 36 is considered sufficient to conduct factoranalysis which helps in summarizing data that further helps in interpreting ,understandingpatterns as well as relationships. Factor analysis using varimax rotation andmaximum likelihood method is used, detailed results of Minitab session windoware given appendix 1 . The factors with high loadings are given below in table2, the extracted factors can be used in future surveys by Human resourcesdepartment. Question statements: Why do you do your work? 1. Satisfaction experience after being successful at a difficult task 2. I derive pleasure form learning new things 3.
Satisfaction by taking interesting challenges Question statements : Which rewards motivate you? 4. Receiving recognition by peers 5. Receiving verbal praise/ Appreciation 6. Challenging new assignments Table 2