Data Report In political Science

Answer ALL questions.  Questions I-IV (pages 1-7) are based on SPSS outputs already generated and provided in this paper. You may provide your answers in this document or in a separate one within the stated word limit.

(See Appendix at the end of the paper, on page 8 for Critical Chi-Squared – χ2, values at p=0.05)

Total marks 100.  Marks for each question are mentioned across it.

Question I (Total Marks 35)

  1. Identify the level of measurement for each of the following four variables and provide brief explanations. (8 marks):

 

VoteSatis: How much do the respondents agree with the statement that ‘They get a sense of satisfaction when they vote in elections’?

1=Strongly Disagree

2=Disagree

3=Neither Agree nor disagree

4= Agree

5=Strongly Agree

 

EmpStat: Respondent’s employment status.

1= Employed

2= Self-employed

3= Not employed

4=Other

 

Inclevel: Respondent’s income (in £)

1= below 14,999

2= 15,000 – 29,999

3= 30,000- 44,999

4= 45,000- 59,999

5= 60,000+

 

Noimbro: What % of people the respondent believes to be born outside of the UK? (noted as % reported by respondents in the survey)

 

    1. For each of the above four variables identify one most appropriate graph type suitable for their level of measurement. Provide brief comments. (4 marks)

 

    1. For each of the above four variables identify up to two most appropriate numerical statistics suitable for their level of measurement. Provide brief comments. (4 marks)

 

  1. Answer the questions on the descriptive statistics tables provided below.

 

    1. Variable PolCare represents: How much do respondents agree or disagree with the statement that ‘Politicians don’t care what people like them think’ Answer the following questions based on the frequency table below.

 

 

  1. What percentage of respondents strongly agree with the statement that ‘Politicians don’t care what people like them think’? Explain your answer. (3 marks)

 

  1. Explain the difference between ‘Percent’ and ‘Valid percent’. (2 marks)

 

  • Identify the mode and the median values for the variable PolCare and provide brief comments. (4 marks)

 

    1. Variable  EJbHrsX represents: Number of hours a week respondent works [if employed]. Answer the following questions based on the table below.

 

  1. Interpret and briefly explain any four numerical statistics for EJbHrsX from the table above. (8 marks)

 

  1. Comment on the nature of distribution of the variable EJbHrsX. (2 marks)

 

 

Question II (Total Marks 25)

 

Consider the following variables:

 

VoteWaste: How much do respondents agree or disagree with the statement that ‘Most of my friends and family think that voting is a waste of time’?

 

PolInterest: How much interested the respondents say they are in Politics?

 

Provided below are a set of tables relating to the two-way association between the variables VoteWaste and PolInterest.  Answer the following questions based on these tables.

 

  1. Set up hypothesis testing for association between VoteWaste and PolInterest, by stating suitable null and alternative hypotheses for the association between these two variables.  (4 marks)

 

    1. Identify the level of measurement for variables, VoteWaste and PolInterest. (4 Marks)
    2. Identify the dependent and independent variables in the association. (2 marks)

 

  1. Comment on two cell values in the above two-way crosstabulation. Does there appear to be an association between VoteWaste and PolInterest? (5 marks)

 

    1. Identify, and interpret appropriate statistics to assess the statistical significance of the association between VoteWaste and PolInterest.  Explain your answer. (5 marks)

 

    1. Identify the appropriate statistic for assessing the strength of the association between VoteWaste and PolInterest. What is the nature and strength of the association? Explain your answer. (5 marks)

 

 

Question III (Total Marks 30)

Provided below are a set of tables relating to the three-way association between the variables used in ques II – VoteWaste and PolInterest, and a third variable SocClass.

 

SocClass represents: Respondents think of themselves as belonging to any particular class (3 categories- Middle, Working and Other/No class).

 

Answer the following questions based on the tables below.

  1. Set up hypothesis testing for the association between the three variables VoteWaste, PolInterest, and SocClass, by stating suitable null and alternative hypotheses for association between these three variables. (4 marks)
  2. Identify the level of measurement for variable (2 Marks)
  3. Provide brief comments on any four cell values in the above three-way crosstabulation for the association between VoteWaste and PolInterest, across the three categories of SocClass.  Does there appear to be an association between VoteWaste and PolInterest in the different partial tables for SocClass? (6 marks)
  4. Identify, and interpret appropriate statistics to assess the statistical significance of the association between VoteWaste and PolInterest across the categories of SocClass. Explain your answer. (6 marks)
  5. Identify the appropriate statistic to assess the strength of the associations between VoteWaste and PolInterest, across different categories of SocClass. Which is the strongest, and the weakest of these associations? Explain your answer. (6 marks)
  6.  Does the nature, direction or strength of the association between the variables VoteWaste and PolInterest vary across different categories of the third variable – SocClass? Interpret appropriate statistics to explain the elaboration paradigm. (6 marks)

 

Question IV (Total Marks 10)

 

Consider the following correlation table using the variables,

 

EDUC: Number of years in education completed by the respondent.

SIBS: Number of brothers and sisters the respondent has.

PAEDUC: Number of years in education completed by respondent’s father.

MAEDUC: Number of years in education completed by the respondent’s mother.

 

  1. From the above table interpret and explain the correlations of EDUC with SIBS, PAEDUC and MAEDUC? Explain which of these correlations are statistically significant by interpreting the appropriate statistic. (4 marks)

 

  1. Which of the variables – SIBS, PAEDUC or MAEDUC, influences EDUC in the strongest, and the weakest way? Explain your answer. (4 marks)

 

  1. What do the diagonal values of Pearson correlation coefficient (r)=1 in the above correlation table represent? (2 marks)

 

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