GSS Dataset Analysis Using SPSS

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  1. Introduction
  2. Statistical assumptions of test
  3. SPPSS syntax and output
  4. Bar chart to describe the data
  5. Conclusion
  6. References

Introduction

This paper is a report of a statistical analysis of two variables of a data set obtained from the General Social Survey (GSS) database. It includes the statistical assumptions of the test, SPSS syntax and output including the mean, median, mode, range, minimum, maximum and standard deviation of the two variables, and a chart describing that data.

Statistical assumptions of test

There are a couple of assumptions of the test. One assumption is that the populations represented by the sample data have specific traits and that these samples are obtained under specific conditions (General Social Survey, n.d.; Somekh & Lewin, 2005). It is also assumed that the data are sampled independently from normal distribution.

SPPSS syntax and output

Syntax

The SPSS syntax below is used to generate the standard measures of central tendency and dispersion, the frequency tables, and graphs (Green & Salkind, 2005).

FREQUENCIES VARIABLES=marital age

/STATISTICS=STDDEV RANGE MINIMUM MAXIMUM MEAN MEDIAN MODE

/BARCHART FREQ

/ORDER=ANALYSIS.

Statistics calculations

MARITAL STATUS AGE OF RESPONDENT
N Valid 3552 3527
Missing 7 32
Mean 2.45 48.44
Median 2.00 47.00
Mode 1 50
Std. Deviation 1.653 17.254
Range 4 71
Minimum 1 18
Maximum 5 89

Frequency Tables

The following are the frequency tables for the variables marital status and age of respondents generated using SPSS and the GSS dataset.

Marital status

Frequency Percent Valid Percent Cumulative Percent
Valid MARRIED 1742 48.9 49.0 49.0
WIDOWED 303 8.5 8.5 57.6
DIVORCED 539 15.1 15.2 72.7
SEPARATED 116 3.3 3.3 76.0
NEVER MARRIED 852 23.9 24.0 100.0
Total 3552 99.8 100.0
Missing NA 7 .2
Total 3559 100.0

Age of respondent

Frequency Percent Valid Percent Cumulative Percent
Valid 18 6 .2 .2 .2
19 32 .9 .9 1.1
20 34 1.0 1.0 2.0
21 36 1.0 1.0 3.1
22 43 1.2 1.2 4.3
23 56 1.6 1.6 5.9
24 65 1.8 1.8 7.7
25 45 1.3 1.3 9.0
26 60 1.7 1.7 10.7
27 66 1.9 1.9 12.6
28 71 2.0 2.0 14.6
29 62 1.7 1.8 16.3
30 53 1.5 1.5 17.8
31 70 2.0 2.0 19.8
32 47 1.3 1.3 21.2
33 57 1.6 1.6 22.8
34 75 2.1 2.1 24.9
35 75 2.1 2.1 27.0
36 73 2.1 2.1 29.1
37 71 2.0 2.0 31.1
38 72 2.0 2.0 33.1
39 58 1.6 1.6 34.8
40 64 1.8 1.8 36.6
41 64 1.8 1.8 38.4
42 59 1.7 1.7 40.1
43 59 1.7 1.7 41.8
44 77 2.2 2.2 43.9
45 67 1.9 1.9 45.8
46 76 2.1 2.2 48.0
47 76 2.1 2.2 50.2
48 69 1.9 2.0 52.1
49 70 2.0 2.0 54.1
50 81 2.3 2.3 56.4
51 74 2.1 2.1 58.5
52 69 1.9 2.0 60.4
53 68 1.9 1.9 62.4
54 71 2.0 2.0 64.4
55 61 1.7 1.7 66.1
56 73 2.1 2.1 68.2
57 74 2.1 2.1 70.3
58 43 1.2 1.2 71.5
59 37 1.0 1.0 72.6
60 74 2.1 2.1 74.7
61 64 1.8 1.8 76.5
62 61 1.7 1.7 78.2
63 44 1.2 1.2 79.4
64 44 1.2 1.2 80.7
65 53 1.5 1.5 82.2
66 44 1.2 1.2 83.4
67 36 1.0 1.0 84.5
68 35 1.0 1.0 85.5
69 39 1.1 1.1 86.6
70 35 1.0 1.0 87.6
71 32 .9 .9 88.5
72 31 .9 .9 89.3
73 33 .9 .9 90.3
74 38 1.1 1.1 91.4
75 29 .8 .8 92.2
76 29 .8 .8 93.0
77 27 .8 .8 93.8
78 27 .8 .8 94.5
79 20 .6 .6 95.1
80 23 .6 .7 95.7
81 19 .5 .5 96.3
82 18 .5 .5 96.8
83 20 .6 .6 97.4
84 16 .4 .5 97.8
85 9 .3 .3 98.1
86 10 .3 .3 98.4
87 12 .3 .3 98.7
88 9 .3 .3 99.0
89 OR OLDER 37 1.0 1.0 100.0
Total 3527 99.1 100.0
Missing NA 32 .9
Total 3559 100.0

Bar chart to describe the data

Age of respondent

The bar graph for age of respondent is a histogram. As Huizingh (2007) highlights, a bar chart is inappropriate for continuous variables because they often have several varying values. The highest number of persons (respondents) were aged 50 years, the least number of persons were 18 years old.

Marital status

The graph shows that married persons constituted the highest population, while separated persons were the least.

Conclusion

This report has utilized a data set obtained from the General Social Survey to show the standard measures of central tendencies and dispersions of the data. These statistical aspects were calculated using the SPSS application. The statistical assumptions of the test were mentioned and a bar chart was used to describe data.

References

General Social Survey. (n.d.), GSS 2008 Cross-Section and Panel Merged (2010). Web.

Green, S. B. & Salkind, N.J. (2005). Using SPSS for Windows and Macintosh: analyzing and understanding data, Vol. 1, Pearson/Prentice Hall, Upper Saddle River, NJ.

Huizingh, E. (2007). Applied statistics with SPSS. SAGE, London

Somekh, B. & Lewin, C. (2005). Research methods in the social sciences, SAGE, London.

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