Microsoft Word research method fm doc


Example : RECODE variable1



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ln research method final

Example
:
RECODE variable1 to variable2 15-19=1 20-24=2 25-29=3 30-34=4 35-39=5 40-44=6 45-
49=7 
• Variable1 refers to the old variable while variable2 refers to the newly created one. 
• The variable "age" given earlier is an old one. Therefore, we can put it in place of 
variable1 
• The variable "age1" shown above is a new one. Therefore, we can put it in place of 
variable2. 
After successfully completing the recoding of variables, you can use other commands (e.g., 
freq, tables, list, etc.) to have a summary statistics based on the new variables. 
Helpful tips 
 
a) The update command will assist you to see all the data values you have entered. 
You can make any changes using this command.
b) Pressing F10 will take you one step back.
STATCALC calculator 
STATCALC does statistical analysis of data entered from the keyboard into tables on 
the screen. 
• Facilities are provided to perform 2 by n tables, to investigate linear trends and to 
calculate sample sizes.
 
 


Research methodology 
111
Example: 
A cross-sectional survey on knowledge and use of condom was carried out among 
commercial sex workers (CSWs) of three small towns in Northwest Ethiopia. The table below 
shows the experience of these women on the use of condom classified by some selected 
socio-demographic variables. [G.D. Alene, Ethiop.J.Health DEV.2002;16(3):277-286] 
Ever used condoms 
Variable 
Yes No 
Age of CSWs (in year) 
15 - 24 
25 - 34 
35 - 49 
Educational status of CSWs 
Can't read and write 
Can read and write 
(informal schooling) 
Elementary school 
High School 
Occupation of partners 
Farmer (subsistence) 
Trader (Private business) 
Others 
55 
36 

46 
14 
22 
17 
76 
15 

77 
71 
58 
131 
21 
32 
22 
182 
13 
11 
Investigate the influence of the above selected variables on the use of condom among the 
CSWs of the study areas. 
• Move the cursor to STATCALC calculator and press the Enter key. 
• Enter the data values on the appropriate cells. 
• Use the ordinary Chi square test (2 by n) first. 
For ordinal type of data, consider the Chi square for trend test. 
 


Research methodology 
112

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