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# Session 3 - PowerPoint PPT Presentation

Session 3. Tables in Stata. Importance of tables. The analysis of many surveys is primarily Through giving tables And then interpreting the information Simple tables are one-way frequencies Or of percentages Or Multi-way frequencies (or percentages)

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### Session 3

Tables in Stata

• The analysis of many surveys is primarily

• Through giving tables

• And then interpreting the information

• Simple tables are one-way frequencies

• Or of percentages

• Or Multi-way frequencies (or percentages)

• Tables can also contain summary statistics

• Like means

• Particiants should be able to

• Produce tables of each defined type using Stata

• Interpret data from these tables

• Produce tables of interest for the data set created for the district in the previous session.

To explore table facilities, we will open the data file K_combined_labelled.dta

Match these options to the different types of table that are needed to process survey data

Open the data file K_combined_labelled.dta

Statistics => Summaries, tables & tests => Tables => One-way tables

Check you can interpret these results

Statistics => Summaries, tables & tests => Tables => Multiple one-way tables

• The commands are simple.

• For one-way tables try

• tab q31

• For several one-way tables, use tab1, e.g.

• tab1 region rurban q11 a31

• For two-way tables, try

• tab q11 q16

Use the dialogue – with the options for Missing and/or sorting

• Type tab1 q126 q127 q128 q129 q31, missing sort

• What effects do the options sort and missing have?

• Work through sections 7.1.4 and 7.2 in the Guide.

• Include 7.2.1 where you check for coding

• Include 7.2.2 for lists of two-way tables

• Type tab q31 q126,

• Then repeat with tab replaced by tab1.

• Explain the difference between tab1 and tab to your neighbour.

Interpet the results from this table

Repeat, but getting column percentages. Interpret those results

Hence explain which set of percentages is more appropriate in this table

• Can use tabulate command

• with by prefix. For example:

• bysort rurban: tab q128 q11, row

• Or the “two-way tables” dialogue

• Or use the more powerful table command

• table q128 q11, contents(freq) by(rurban) row col

• Or the “Tables of summary statistics (tables) dialogue

• See result in next slide

Interpret these results

Then use the Two-way tables

(with By)

To give row or column percentages

Use the dialogue or the command

table q11 rurban q126, by(q16)

Where the row var = Sex (q11)

Column variable = Rurban

Supercolumn variable = Employed (q126)

Superrow variable =Literacy (q16)

Interpret the table

Try the variables in different orders, to see if your interpretation is simplified

• If you need more time on multi-way tables

• Then go through Section 7.3 in the guide

• Then go through Sections 7.4 and 7.5

• Section 7.4 and 7.5 consider summary statistics

• For simple tables they use the tabstat dialogue (or command)

• Or the table dialogue (or command) is used

Statistics

=> Summaries, tables & tests

=> Tables

=>Table of summary statistics (tabstat)

(with Option:

Use as columns Statistics)

• Note:

• qd41, qd42, qd43 are expenditures in the previous month for purchase of maize, bean and other seed respectively

• Omitting the option col(stat) would give the statistics as rows rather than as columns as shown above

Statistics =>

Summaries, tables & tests

=> Tables

=> Table of summary statistics

Discuss with your neighbour the difference between use of tabstat and table .

• Load your own data into Stata, and produce tables that address an objective of interest that you wish to explore with your data.