Job satisfaction: Factor analysis
DOI:
https://doi.org/10.53983/ijmds.v6i9.320Keywords:
Factor analysis, Job satisfactionAbstract
Studies with respect to job satisfaction have been conducted during different time in different industries. Empirical findings revealed that there are number of studies in service sectors. Albeit, there are few research works in hospital services. Thus, this study is conducted to know the factors of job satisfaction.This study selected a sample of 100 employees (20 employees form 5 hospitals). The primary collection techniques used in this research is questionnaire. Results of the descriptive statistics i.e. mean values for voluntary turnover, involuntary turnover, gender- based absenteeism, age- based absenteeism, economic strike and unfair strike almost lie in 2 in the likert scale. This refers to that all items of job satisfaction have agreeable in the scale.Value of Kaiser-Meyer-Olkin is o.511. This means that the sample size taken as 100 is enough in this study. Next statistics is Bartlett's Test of Sphericity which is measured by approximate chi- square. Approximate chi- square is 58.431 with degrees of freedom of 15.Initial communalities and extracted communalities for voluntary turnover, involuntary turnover, gender- based absenteeism, age- based absenteeism, economic strike and unfair strike are satisfactory. Total variance for all itemsexplains about 70% of the total variance. Study found that all the turnover, absenteeism and strike contributes to job satisfaction. Positive nature of turnover, absenteeism and strike leads to job satisfaction. Contrarily, Negative nature of turnover, absenteeism and strike contributes to job dissatisfaction