STATA 11 for Windows SAMPLE SESSION - Food Security Group ...

Stata 11 Sample Session Section 3 – Tables and other Types of Analysis
retained quartile. Your table should look similar to the table
below:
---------------------------------------------------------------------------
| Calories retained quartile
district | 1 2 3 4 Total
----------+----------------------------------------------------------------
monapo | 1,171.71 2,239.09 3,343.00 7,619.10 3,571.01
| 1,806.87 2,554.89 4,303.12 20,873.97 20,873.97
| 224.49 1,888.33 2,685.97 4,359.74 224.49
|
ribaue | 1,251.39 2,171.70 3,165.37 5,828.97 3,081.46
| 1,790.43 2,566.01 3,734.49 9,464.90 9,464.90
| 429.29 1,835.30 2,578.60 3,825.88 429.29
|
angoche | 929.42 1,718.79 2,442.25 5,022.29 2,506.50
| 1,395.96 1,984.06 3,064.00 12,674.86 12,674.86
| 207.91 1,447.06 1,997.71 3,134.74 207.91
|
Total | 1,118.42 2,040.13 2,977.30 6,135.48 3,044.26
| 1,806.87 2,566.01 4,303.12 20,873.97 20,873.97
| 207.91 1,447.06 1,997.71 3,134.74 207.91
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Multiple Response
Questions
1) Multiple dichotomy (yes/no
questions)
One of the types of question used in survey research asks the
respondent to select multiple answers. A single variable cannot
record the answers to this type of question adequately, because a
variable can have only one value. The solution is to record each
possible response in a different variable. The responses can be
analyzed separately using commands you have already seen
(tabulate), but ideally we want to analyze these related
variables jointly.
Multiple dichotomy - yes/no questions: If a survey question asks
the respondent to "check all that apply" from a set of ten choices,
a separate variable is required for each of the ten responses.
Each variable has a value to indicate whether the response was
checked (1) or yes, or not checked (2) or no. An example of this
type of question can be found in the household level survey
questions (see appendix), Section V - Agricultural Sales,
question 64 - have you increased the quantities sold over the last
five years? All of the variable names associated with this
question begin with H64.
Open the file:
1. Select File then Open
2. Select c-hh.dta
3. Click on Open.
4. Copy the command and paste it in the do-file editor.
Delete the directory reference.
In this survey 1 = yes and 2 = no. Questions you might ask are:
A. How many respondents increased sales quantities of
maize?
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