Quantitative data-analysis

The data set was drawn from the British Household Panel Survey (BHPS). You do not need to know anything else about this data set, but if you are interested you can find further information here: https://www.iser.essex.ac.uk/bhps . The research questions for this section are:

1. a) Is there a difference between employees with and without managerial duties with regards to annual gross income?

1. b) Is there a gender difference with regards to annual gross income?

1. c) Is there an interactive effect of ‘having managerial duties’ and gender on annual gross income?
   For task 1. c), you will need to find a way to account for the effect of ‘having managerial duties’, the effect of gender, and the interactive effect of both variables (i.e., ‘having managerial duties’ by gender) in your analysis.
2. a) Is there an association between working hours per week and job satisfaction?

2. b) Is there an association between annual gross income and job satisfaction?

2. c) Which of these two associations is stronger when examined jointly: the association between working hours per week and job satisfaction, or the association between annual gross income and job satisfaction?

For task 2. c), you will have to examine the effects of working hours per week and annual gross income on job satisfaction at the same time (i.e., in one analysis).

The sample is quite large. Accordingly, it is likely to find significant differences and associations. Therefore, you need to carefully evaluate the size of differences and the strength of associations.

Quantitative data-analysis tasks

Start with a description of the study sample in terms of demographics and work-related variables. After that, address the research questions above.

For each of the research questions, you have to

• Select an appropriate statistical technique to answer the research question.
• Do the analysis.
• (i) State your objective, (ii) explain why you chose which inferential statistical technique, (iii) present and explain the statistical result, (iv) present appropriate descriptive statistics and/or graphical illustrations that help to understand the result, and (v) briefly describe and explain the finding in words (i.e., what does the statistical finding actually mean, and how could it be explained?).

You need to present outputs of your inferential statistical analyses in the text (i.e., SPSS outputs). You should pay special attention to descriptive statistics, where appropriate, to graphical displays, and to the interpretation of findings. Please note that interpreting findings means more than explaining the statistical output.

Price: $18.31

Solution: The downloadable solution consists of 7 pages, 1131 words.
Deliverable: Word Document