DATA ANALYSIS

Data Analysis



Data Analysis

Introduction

The purpose of this paper is to conduct data analysis using the most appropriate statistical tests and techniques to assess the quantitative data which has been collected using the specifically designed questionnaire named as the ISPAS (Irish Social and Political Attitudes Survey). However, for this paper the data has been analyzed based on the four questions which require the statistical analysis of data. Also, examined as a part of the given questions is the examination of the potential impact which one variable produces on another, as measured by the mentioned survey questionnaire. On the whole, for efficiently conducting the process of data analysis, the statistical software named as SPSS was utilized (Weisburd & Britt, 2007 pp. 123 - 134).

1. Describe the sample in terms of gender [f40b01] by the type of location [f44].

The purpose of this question is to assess the sample which is comprised of both, male and female participants. This examination primarily involves the description of this sample on the basis of the type of the location that the participants belonged to. For this purpose the statistical technique of cross tabulation was used, the generated outputs of which have been mentioned below;

Sex*size of location Crosstabulation

size of location

Total

open country

village (200-1499)

town (1500-2999)

town (3000-4999)

town (5000-9999)

town (10000 or more)

waterford city

galway city

limerick city

cork city

dublin city

dublin county

Sex

Male

Count

631

138

69

84

114

209

9

26

45

67

356

102

1850

% within Sex

34.1%

7.5%

3.7%

4.5%

6.2%

11.3%

.5%

1.4%

2.4%

3.6%

19.2%

5.5%

100.0%

% within size of location

85.4%

79.8%

73.4%

80.8%

73.5%

72.1%

75.0%

68.4%

78.9%

71.3%

75.4%

70.3%

78.0%

% of Total

26.6%

5.8%

2.9%

3.5%

4.8%

8.8%

.4%

1.1%

1.9%

2.8%

15.0%

4.3%

78.0%

Female

Count

108

35

25

20

41

81

3

12

12

27

116

43

523

% within Sex

20.7%

6.7%

4.8%

3.8%

7.8%

15.5%

.6%

2.3%

2.3%

5.2%

22.2%

8.2%

100.0%

% within size of location

14.6%

20.2%

26.6%

19.2%

26.5%

27.9%

25.0%

31.6%

21.1%

28.7%

24.6%

29.7%

22.0%

% of Total

4.6%

1.5%

1.1%

.8%

1.7%

3.4%

.1%

.5%

.5%

1.1%

4.9%

1.8%

22.0%

Total

Count

739

173

94

104

155

290

12

38

57

94

472

145

2373

% within Sex

31.1%

7.3%

4.0%

4.4%

6.5%

12.2%

.5%

1.6%

2.4%

4.0%

19.9%

6.1%

100.0%

% within size of location

100.0%

100.0%

100.0%

100.0%

100.0%

100.0%

100.0%

100.0%

100.0%

100.0%

100.0%

100.0%

100.0%

% of Total

31.1%

7.3%

4.0%

4.4%

6.5%

12.2%

.5%

1.6%

2.4%

4.0%

19.9%

6.1%

100.0%

Chi-Square Tests

Value

df

Asymp. Sig. (2-sided)

Pearson Chi-Square

44.482a

11

.000

Likelihood Ratio

45.705

11

.000

Linear-by-Linear Association

26.078

1

.000

N of Valid Cases

2373

A thorough analysis of the mentioned outputs suggest that the percentages of males and females participants for the geographical regions of open country, village (200-1499), town (1500-2999), town (3000-4999),town (5000-9999), town (10000 or more), waterford city, galway city, limerick city, cork city, dublin city, and the dublin county were 34.1% and 20.7%, 7.5% and 6.7%, 3.7% and 4.8%, 4.5% and 3.8%, 6.2% and 7.8%, 11.3% and 15.5%, 0.5% and 0.6%, 1.4% and 2.3%, 2.4% and 2.3%, 3.6% and 5.2%, 19.2% and 22.2%, 5.5% and 8.2% respectively. Moreover, the observation of the outputs of the Chi - Square Tests suggest that the value of Pearson Chi-Square is 44.482 with a p - value of .000, therefore, we conclude that the differences demonstrated by the cross tabulation of the data are statistically significant (Dobler, 2002, pp. 332).

2. Does gender [f1] appear to have a significant effect on the likelihood that a person will vote [a14a] or their religious orientation [f22]?

The purpose of this part of the paper is to evaluate the significant or the insignificant nature of the impact which is produced by the gender of a person on a person's religious orientation and on the likeliness that a person would actually vote during the time of an election. The two aspects in this section have been examined individually in relation to the gender of the participant.

1. Gender [f1] and the likelihood that a person will vote [a14a]

For the examination of the impact that the gender of a ...