SPSS Analysis

SPSS Analysis for Survey

SPSS Analysis for Survey

Introduction

The survey monkey is an online surveying company which does surveys for different purposes like academic, business and marketing research etc. This survey has been conducted to analyze the quality of the work given by the Kuwait government. The survey contains both the end user and ministry of interior and the respondents were 456 for end user and 582 for Ministry of interior. The analysis of the questionnaire has been done through the t-test statistics. If the results are greater than the tabulated values, then the data is found to be significant otherwise not. Chi - square test is also used for ordinal scales measurement in the questionnaires.

The independent t-test measures the difference between two groups keeping one similarity between them which certainly gives a good comparison of the data. Not all the questions have been included in the analysis, only important questions that are the part of both the questionnaires have been included to analyze the comparison between the data of both the questionnaires. Few extra questions that were not the part of these questionnaires were also included to include self importance of different questionnaires study.

Data Analysis

Using frequency distribution

Survey Question #1 - What is your age?

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

19 and under

5

1.1

1.1

1.1

20 - 29

172

37.7

37.7

38.8

30 - 39

192

42.1

42.1

80.9

40 - 49

75

16.4

16.4

97.4

50 and above

12

2.6

2.6

100

Survey Question #2 - What is your highest level of education?

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

Less than high school

48

10.5

10.5

10.5

High school

32

7

7

17.5

Diploma

35

7.7

7.7

25.2

University degree

310

68

68

93.2

Graduate level degree

31

6.8

6.8

100.0

Total

456

100.0

100.0

Survey Question #8 - How do you rate the emergency services delivered by the Kuwaiti public safety & security agencies?

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

Excellent

25

6.2

6.2

6.2

Good

85

21

21

27.2

Satisfactory

191

47.3

47.3

74.3

Poor

70

17.3

17.3

91.6

Unsatisfactory

22

5.4

5.4

100.0

I don't know

11

100.0

100.0

Total

456

Survey Question #3 - Where do you work?

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

Ministry of interior

379

83.1

83.1

83.1

Kuwait national guard

65

14.3

14.3

97.4

Kuwait fire service directorate

7

1.5

1.5

98.9

Ministry of health

5

1.1

1.1

100.0

Total

456

100.0

100.0

Total

456

100.0

Survey Question #2 - What is your position in the job?

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

Section officer

281

61.6

61.6

61.6

Head of a section

131

28.7

28.7

90.3

Assistant manager

21

4.6

4.6

94.9

Manager and above

23

5

5

100

Total

456

100.0

Survey Question #8 - How do you rate the services delivered by TETRA network?

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

Excellent

37

9.2

9.2

9.2

Good

121

30

30

39.2

Satisfactory

96

23.8

23.8

63

Poor

43

10.6

10.6

73.6

Unsatisfactory

23

5.7

5.7

79.3

I don't know

84

20.8

20.8

100

Total

456

100.0

Survey Question #14. How do you rate the skills and knowledge for the staff of the Telecommunication Engineering Department - MOI?

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

Excellent

10

3

3

3

Good

84

25

25

28

Satisfactory

93

27.7

27.7

55.7

Poor

44

13.1

13.1

68.8

Unsatisfactory

5

1.5

1.5

70.3

I don't know

100

29.8

29.8

100

Total

456

100.0

Using t-test statistic (one sample t-test)

The one sample t test is used to test whether the sample mean (x) for a specific variable is "likely" or "unlikely" against the hypothesis that this average from a sample that was drawn at random from a population which we know the mean (µ), but not the standard deviation. In this case, the sampling distribution of means no longer follows the shape of the normal distribution. In fact, when we do not know all the population parameters (mean and standard deviation real), we can use the t distribution, akin to the normal distribution, and test whether a sample from a population with known mean but a standard deviation that is not.

One might think that the standard deviation obtained with the sample is a good estimator of the true value populational, but this is not the case, especially with a small sample size. Like the mean, standard deviation and variance of a sample varies from sample to sample ...