Promoting the satisfaction, commitment, mental health and well-being of employees is important not only in itself, but also because evidence shows that those who are positive in these respects respond better to change and are more productive. Measures of Job Satisfaction, Organisational Commitment, Mental Health and Job-related Well-being is a unique source of benchmarking data across four widely used questionnaire methods, that provides up-to-date data drawn from 60,000 respondents in 170 organisations across a wide range of industries and occupations. The data is split by sector and occupational group, with the latter broken down further by age and gender, creating a must-have for those using these scales and seeking to benchmark their progress.

Promoting the satisfaction, commitment, mental health and well-being of employees is important not only in itself, but also because evidence shows that those who are positive in these respects respond better to change and are more productive. Measures of Job Satisfaction, Organisational Commitment, Mental Health and Job-related Well-being is a unique source of benchmarking data across four widely used questionnaire methods, that provides up-to-date data drawn from 60,000 respondents in 170 organisations across a wide range of industries and occupations. The data is split by sector and occupational group, with the latter broken down further by age and gender, creating a must-have for those using these scales and seeking to benchmark their progress.

Promoting the satisfaction, commitment, mental health and well-being of employees is important not only in itself, but also because evidence shows that those who are positive in these respects respond better to change and are more productive. Measures of Job Satisfaction, Organisational Commitment, Mental Health and Job-related Well-being is a unique source of benchmarking data across four widely used questionnaire methods, that provides up-to-date data drawn from 60,000 respondents in 170 organisations across a wide range of industries and occupations. The data is split by sector and occupational group, with the latter broken down further by age and gender, creating a must-have for those using these scales and seeking to benchmark their progress.