Presentation of Data


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Exercise

1.  Open keast4j.sav ( if it is not already open).

2.  Click on Statistics, Compare Means, Means.

3.  Select waprev and place it in the Dependent variable list. Select edn and place it in the first layer of the Independent variable list, click on Next, which advances to layer 2 of 2, and enter the variable roof in the second layer of the Independent variable box.

4.  Click on OK.

The top table is the resulting output from this exercise.  This gives the prevalence of malnutrition (<-2 SD WAZ times 100) in each education and roofing category.  These prevalences can be taken into a table in a Word Processing program to display the information in a more attractive way.   One example of how to create a presentable table is shown here.  Education level is put on the top as columns and roofing type is put on the side as rows, while the internal cells show the prevalence of malnutrition. 

wpe3.jpg (44167 bytes)

 

The table, repeated below shows the result of this exercise in creating a presentation table.  The marginals in the table (the TOTAL column and row) show malnutrition prevalence for categories of education and roofing alone, while the internal cells malnutrition for roofing categories within education groups and vice versa.   These results support that education and SES are important considerations for determining nutrition status. Again, the largest decrease in malnutrition occurs between the incomplete versus complete primary education level.   

Prevalence (<-2 SD WAZ) of Malnutrition by Educational Attainment and Roofing Material

(The parentheses represent the number of malnourished/ total children in that category)

Main Roof Material

Educational Attainment of the Respondent

No Education

Incomplete Primary

Complete Primary

Secondary

TOTAL

 

Grass Thatch

 

45%

(25 / 58)

 

40%

(45 / 112)

 

22%

(8 / 36)

 

30%

(7 / 23)

 

38%

(86 / 229)

 

Corrugated Iron

 

35%

(20 / 57)

 

35%

(63 / 184)

 

19%

(22 / 116)

 

13%

(14 / 109)

 

26%

(120 / 466)

 

TOTAL

 

40%

(45 / 115)

 

37%

(109 / 296)

 

20%

(30 / 152)

 

16%

(21 /132)

 

30%

(206 / 695)

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