This assignment consists of two parts that need to be seen as linked with each other.

In Part A, you will design a data requirements table (Saunders et al, 2012, p. 425) for a questionnaire. Part B is an analysis of quantitative data.The weighting of the two parts of the assignment is 50: 50.

Detailed instructions on what to do for Part A:

The research scenario is that as part of a sustainability programme to produce biogas, a local council is interested in gathering information on householders' views on recycling food waste. As this is a new initiative, no specific and reliable data is available. You have been given the task to conduct a survey to collect this data (primary data collection) with the help of a questionnaire.

You have learned that prior to producing a good quality questionnaireit is important to write a data requirements table (Saunders et al, 2012, p. 425). Please note that you are NOT designing a questionnaire.

- You are expected to write an essay-style piece of work starting with the scenario, justifying the use of survey strategy with questionnaires as data collection tool for the given scenario. Discuss your population and sampling method and justify your decision. Include the purpose of your research. State the type of questionnaire you want to use and justify your choice.
- Justify your wish to produce a data requirements table.
- Then produce and present your data requirements table.
- This should be followed by commentary on and justifications of any choices you have made regarding the information in your table by making good use of/ reference to published sources/ research methods literature and linking it explicitly to the research scenario.
- All choices you make must be justified using Business Research Methods theory.
- Include a list of references formatted in the HBS Harvard Style (See CASE website).
- The word count for Part A should be between 750 - 1000 words (+/- 10%).

Minimal essential reading for Part A is Chapter 11 of Saunders, M. et al (2016) but you are also expected to refer to other chapters as well as read additional other academic sources.

Detailed instructions on what to do for Part B:

Assignment B is about analysing a given set of quantitative data. You are expected to write a well-structured & designed report of between 750 and 1000 words - plus any diagrams and charts you produce and a list of references.It should consist of data analysis, commentary and interpretation and should make good use of published sources to justify your choices.

You will need to analyse the quantitative data set using IBM SPSS.Thedata will be availablein the file "hals.sav" in the Ref/Def CW folder under ‘Teaching Resources' on the module website.

The directors of the HR department of a medium sized company have asked you to obtain answers to several questions about the health and well-being of men in mid-life or older in your company and write a report. You have access to a survey of a sample of 1297 male employees aged 39 and over that has recently been carried out (hals.sav). The questions you need to answer are:

1. What is the age distribution of men? (Use, for example, Histogram)

2. What proportion of men belong to each category of own health (OWNH)? (Use, for example, Pie Chart)

3. What is the average height and weight of the men? (Use, for example, Descriptive Statistics, Descriptives)

4. How is lung function (HYFEV) related to age, if at all? (Use, for example, Linear Regression)

5. How different are the average FEVs (i.e. lung functions) of the different social class categories? (Use, for example, One-way ANOVA)

6. Is there a significant difference between the proportion of smokers and non-smokers who have poor mental health state? (Use, for example, Chi-Squared)

In your report, present your findings and, most importantly, explain to your HR directors what these analyses mean. Assume that the directors do not know much about statistics.

Detailed procedure

1 Use the SPSS Booklet (SSCU SPSS v23 Booklet) from the FREFC/DEFC folder (SPSS) in Teaching Resources on the BRM module website.

2 Work through the booklet, concentrating on sections 1, 2, 3, 10, 12, 13 and 14.

3 Take thedata file from the FREFC/DEFC folder (SPSS) in Teaching Resources on the BRM module website, download it and save it.

4 Open IBM SPSS. There is SPSS on all computers in the LRC (Start Menu -> All Programs -> Data Analysis and Statistics -> SPSS 23). It is also possible for you to install SPSS on your own computer. The LRC HelpDesk can help you if you want to do this. It is a little complicated, though, as SPSS is a very expensive program and the licencing is well protected. So give yourself some time if you intend to do this.

5 In SPSS,open the File menu, click on Open, thenData. Navigate to the place you saved the data file.Select the data file andclick on Open.

6 Work through the questions given.

7 Produce the appropriate analyses.

8 Format the tables and charts well, giving them titles, labelling the axes etc. Right click the charts to edit them.

9 Save a copy of the SPSS output file. Choose Export on the File menu, then "pdf" as document type and Save. You MUST hand this file in with your report.

10 Write a report, including the charts/diagrams &analyses from SPSS, with your comments/interpretations of the analyses, explaining what they mean.Right click the charts etc to copy and paste them into your report. Make sure any graphics are presented well, labelled correctly and explicitly referred to.Use the conventional report format (see CASE website).

11 Write between 750 and 1000 words as well as including any charts or diagrams.

12 You should make good use of published sources and refer to any sources you use - textbooks, SPSS manuals etc. in the conventional manner.

13 Include a list of references formatted in the HBS Harvard Style (See CASE website).
Essential reading for Part B is Chapter 12 of Saunders, Lewis & Thornhill (2016) but you are expected to also do some additional other reading.

Attachment:- Global Economy refferal.rar