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Table 2 An overview of validation methodology and data used

From: Is the Job Satisfaction Survey a good tool to measure job satisfaction amongst health workers in Nepal? Results of a validation analysis

Type of validity Data source Analytical approach
Construct validity • Qualitative interviews with maternal and newborn health workers (MNHWs) • Quantitative survey with MNHWs • 10 qualitative interviews with MNHWs who appeared satisfied with their jobs, and five qualitative interviews with MNHWs who appeared dissatisfied. • Comparison of job satisfaction scores with the qualitative data.
Content validity • Qualitative interviews with MNHWs • Quantitative survey with MNHWs • 10 qualitative interviews with MNHWs who appeared satisfied with their jobs, and five qualitative interviews with MNHWs who appeared dissatisfied. • Calculating the degree to which the items in each of the dimensions of the Job Satisfaction Survey were related to each other, using the Spearman’s rank correlation
Reliability and internal consistency • Quantitative survey with MNHWs Calculating: • Cronbach’s alpha (α) coefficient of internal consistency • Theta (θ) coefficient (special case of Cronbach’s alpha) to specifically account for multidimensionality in an item set
Sensitivity   • Created quartiles of the JSI to distinguish between different degrees of job satisfaction. • Tabulated the average JSI by socio-demographic characteristics of the MNHWs to see how this average score varied by different characteristics.