Contingency Coefficient

The contingency coefficient gives the measure of strength of the output. If the value is close to 1, there is strong correlation between the two variables. However, if the range is between 0.5 and 1, there exists a strong correlation. From the table below, it can concluded that there is good correlation between the variables namely Location in Rajasthan and Total Capacity in Metric Tonnes.

What is the location of the cold storage? * Type of Ownership

Ownership Total Cooperative Private
What is your level of satisfaction of the e-HRM SYSTEMS North Rajasthan Count 5 15 20 % within What is your level of satisfaction of the e-HRM SYSTEMS 25.0% 75.0% 100.0% % within Gender 62.5% 46.9% 50.0% % of Total 12.5% 37.5% 50.0%

Calculating the Cronbach Alpha coefficient of a scale is the most commonly practiced indicator of internal consistency (Pallant, 2007), with the ideal Cronbach Alpha co-efficient being over 0.7 (Hair et al. 2010). A value of below 0.7 is considered to indicate unsatisfactory internal consistency reliability (Malhotra, 2007). Cronbach’s Alpha is used in this research to assess internal consistency reliability of the 25 scale items of the

(Table 1)
KMO is a sampling adequacy index (range from 0 to 1), with high values (between 0.6 and 1.0) indicating that Exploratory Factor Analysis is appropriate (Tabachnick and Fidell, 2007). Since, the KMO sampling adequacy of this research data is high at 0.870 and the significance of Bartlett’s Test of Sphercity is appropriate, thus the test results provide sufficient evidence to support the appropriate use of Exploratory Factor Analysis for factors that have an impact on determining the effectiveness of Cold Chains scale