GSS Dataset Analysis Using SPSS Essay

Exclusively available on IvyPanda Available only on IvyPanda

Updated: Mar 21st, 2024

Table of Contents

Introduction
Statistical assumptions of test
SPPSS syntax and output
Bar chart to describe the data
Conclusion
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.

We will write a custom essay on your topic a custom Essay on GSS Dataset Analysis Using SPSS

808 writers online

Learn More

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.

1 hour!

The minimum time our certified writers need to deliver a 100% original paper

Learn More

Statistics calculations

		MARITAL STATUS	AGE OF RESPONDENT
N	Valid	3552	3527
N	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.

Remember! This is just a sample

You can get your custom paper by one of our expert writers

Get custom essay

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.

Need an custom research paper on GSS Dataset Analysis Using SPSS written from scratch by a professional specifically for you?

808 writers online

Get Writing Help

Cite This paper

Select a referencing style:

Reference

IvyPanda. (2024, March 21). GSS Dataset Analysis Using SPSS. https://ivypanda.com/essays/gss-dataset-analysis-using-spss/

Work Cited

"GSS Dataset Analysis Using SPSS." IvyPanda, 21 Mar. 2024, ivypanda.com/essays/gss-dataset-analysis-using-spss/.

References

IvyPanda. (2024) 'GSS Dataset Analysis Using SPSS'. 21 March.

References

IvyPanda. 2024. "GSS Dataset Analysis Using SPSS." March 21, 2024. https://ivypanda.com/essays/gss-dataset-analysis-using-spss/.

1. IvyPanda. "GSS Dataset Analysis Using SPSS." March 21, 2024. https://ivypanda.com/essays/gss-dataset-analysis-using-spss/.

Bibliography

IvyPanda. "GSS Dataset Analysis Using SPSS." March 21, 2024. https://ivypanda.com/essays/gss-dataset-analysis-using-spss/.

More related papers

Reading time	3 min
Type	Essay
Pages	3
Words	775
Subjects	Sciences Statistics
Language	🇺🇸 English