Last year, a large retail company, with 5,000 employees in branches around the country launched its Well At Work initiative. Well At Work provides a...

Last year, a large retail company, with 5,000 employees in branches around the country launched its Well At Work initiative. Well At Work provides a range of confidential services to improve staff morale and wellbeing. This range includes services such as free health checks, free financial advice and support to stop smoking. The company wants to find out how staff view these services, how useful they are, and if they have helped improve staff satisfaction. They have asked all employees to complete an online research questionnaire which contains the following questions.
The company would like to know which staff groups, according to grade and geographic area, are making most use of the services. The HR Director has asked to look at the completed questionnaires so she can get a feel for the results for each area and staff group. You realize she may be misled by or she may misinterpret the raw data.
a) Identify at least two issues which should be taken into account when comparing the raw data for the different groups, stating why these issues are important.
b) Describe at least two ways in which you might analyze the data in order to provide the company with the robust information they need. Giving reasons for the suggestions you make.

a)
Issues may include some/all of the following:
Sample size: Does the sample for each group represent its proportion in the population as a whole?
Absolute sample size and its statistical reliability
What is being compared? Looking at the questionnaires, the HR Director may be noticing only limited comparisons (e.g. managers in different areas/ responses to one particular service). Need to be clear about what is being compared
Missing/incomplete data: The HR Director has looked at the questionnaires but the data may not have been edited for analysis – e.g. some questionnaire responses may be incomplete
How are ’rather not say’ areas being interpreted? Does company need to know this? Or are they only counting definite yes/nos?
Data privacy and the Code of Conduct (being able to identify an individual employee by their answers on geographic area and employee grade)
Response Rates – how they may impact data interpretation (especially if it varies by geographic region)
Questions may be misunderstood by respondents. The company may be referring to its geographic regions but these may differ from standard regions therefore making it unclear which definition the respondent has used

b)
- cross- tabulation
- percentages - for each geographical and/or staff group against each WAW service weighting – so that results for disparate sizes of groups can be compared
- analyse the different combinations of training received

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Kavungya answered the question on May 13, 2021 at 12:22

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