Essay Doctorate 902 words

Data Analysis Using SPSS Version 21

Last reviewed: June 13, 2016 ~5 min read

¶ … SPSS Software

The study chooses the Age Category as the categorical variable and Lived Poverty Index as the metric variable. The study uses SPSS software Version 21 for the analysis and presents the frequency distributions for the two variables. The visual SPSS output of both the Age Category and Lived Poverty Index are as follows:

FREQUENCIES VARIABLES=AGE_COND

/ORDER=ANALYSIS.

Frequencies

[DataSet1] C:UsersDELL 3521DownloadsAfrobarometer__student_8210_.sav

Age Category

Valid

Missing

Age Category

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

51 and above

Total

Missing

Total

The paper uses the frequency distribution to summary the age category in a manageable form. The frequency distribution reveals that the age groups are between 18 and over 51 years. The number of participants between 15 and 35 years of age are 27,888, which are 54.1% of the participants. However, participants between 36 and 50 years of age are 13,868(26.9%). The sample population who are 51 years and above are 9,819 (19%). The total participants are 51,573 (100%). The frequency distribution table also presents the cumulative frequency of the sample population. The summary of the frequency table shows that the participants between the age 18 and 35 form the largest number of the total population and are more than 50% of all the sample population. (Trochim, 2006, Nick, 2007).

FREQUENCIES VARIABLES=AGE_COND LivedPoverty

/ORDER=ANALYSIS.

Frequencies

[DataSet1] C:UsersDELL 3521DownloadsAfrobarometer__student_8210_.sav

Statistics

Age Category

Lived Poverty Index (average index of 5 poverty items)

N

Valid

51573

50923

Missing

14

Similarly, the study selects lived poverty index as the numeric variable and based on the frequency distribution table, the total number of people living in poverty are 50,923. From the results of the frequency distribution, the average lived poverty index shows that 8,173 people are the on the zero poverty index level. However, the total number of 190 participants are 4 for the poverty index level rate, which is the highest poverty index level.

Frequency Table

Lived Poverty Index (average index of 5 poverty items)

Frequency

Percent

Valid Percent

Cumulative Percent

PART II

DESCRIPTIVES VARIABLES=AGE_COND LivedPoverty

/STATISTICS=MEAN STDDEV MIN MAX.

Notes

Output Created

12-juin-2016 13:30:43

Comments

Input

Data

C:UsersDELL 3521DownloadsAfrobarometer__student_8210_.sav

Active Dataset

DataSet1

Filter

one>

Weight

one>

Split File

one>

N of Rows in Working Data File

51587

Missing Value Handling

Definition of Missing

User defined missing values are treated as missing.

Cases Used

All non-missing data are used.

Syntax

DESCRIPTIVES VARIABLES=AGE_COND LivedPoverty

/STATISTICS=MEAN STDDEV MIN MAX.

Resources

Processor Time

00 00:00:00,156

Elapsed Time

00 00:00:00,469

[DataSet1] C:UsersDELL 3521DownloadsAfrobarometer__student_8210_.sav

DESCRIPTIVES VARIABLES=AGE_COND LivedPoverty

/STATISTICS=MEAN STDDEV MIN MAX.

[DataSet1] C:UsersDELL 3521DownloadsAfrobarometer__student_8210_.sav

Descriptive Statistics

N

Minimum

Maximum

Mean

Std. Deviation

Age Category

51573

1

3

1,65

,780

Lived Poverty Index (average index of 5 poverty items)

50923

,0

4,0

1,245

,9456

Valid N (listwise)

50910

The part two provides the descriptive statistics of the variable age category and variable lived poverty index. The goal of the descriptive statistics is to summarize the mass data in a manageable form revealing the mean and standard deviation. (Babbie, 2009).

As being revealed in the descriptive statistics table, the mean value of the age category is 1.65 while the mean value of the lived poverty is 1.254. Based on the results of the descriptive statistics, it is revealed that large number of people are in the poverty index level of 1.254. The HPI (Human Poverty Index) indicates a level of standard of living within a country, and the HDI reflects the extent of human derivation levels in both developed and developing countries. A comparative analysis of the poverty index between developed and developing countries reveals that developing countries have high HPI compared to the poverty index in the developed countries. (UNDP, 2015).

PART III

EXAMINE VARIABLES=LivedPoverty

/PLOT BOXPLOT STEMLEAF

/COMPARE GROUPS

/STATISTICS DESCRIPTIVES

/CINTERVAL 95

/MISSING LISTWISE

/NOTOTAL.

Explore

Notes

Output Created

12-juin-2016 13:36:52

Comments

Input

Data

C:UsersDELL 3521DownloadsAfrobarometer__student_8210_.sav

Active Dataset

DataSet1

Filter

one>

Weight

one>

Split File

one>

N of Rows in Working Data File

51587

Missing Value Handling

Definition of Missing

User-defined missing values for dependent variables are treated as missing.

Cases Used

Statistics are based on cases with no missing values for any dependent variable or factor used.

Syntax

EXAMINE VARIABLES=LivedPoverty

/PLOT BOXPLOT STEMLEAF

/COMPARE GROUPS

/STATISTICS DESCRIPTIVES

/CINTERVAL 95

/MISSING LISTWISE

/NOTOTAL.

Resources

Processor Time

00 00:00:05,297

Elapsed Time

00 00:00:13,513

[DataSet1] C:UsersDELL 3521DownloadsAfrobarometer__student_8210_.sav

Case Processing Summary

Cases

Valid

Missing

Total

N

Percent

N

Percent

N

Percent

Lived Poverty Index (average index of 5 poverty items)

50923

98,7%

1,3%

51587

100,0%

Descriptive

Statistic

Std. Error

Lived Poverty Index (average index of 5 poverty items)

Mean

1,245

,0042

95% Confidence Interval for Mean

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PaperDue. (2016). Data Analysis Using SPSS Version 21. PaperDue. https://paperdue.com/essay/data-analysis-using-spss-version-21-2159434

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