Analyzing Poverty June 22-26, 2009 PDQ-Explore Analyzing Poverty and Socioeconomic Trends 1

Objectives To learn to: To learn to: Open the PDQ-Explore Graphical Interface Open the PDQ-Explore Graphical Interface Set up and Execute a PDQ-Explore Query Set up and Execute a PDQ-Explore Query Tabulations Tabulations Summary Statistics Summary Statistics Manipulate Results Manipulate Results Totals Totals Percentages Percentages Pivoting Pivoting Sorting Sorting Save and Export Results Save and Export Results 2Analyzing Poverty June 22-26, 2009

Requirements PC (Not Mac) with Windows NT or later PC (Not Mac) with Windows NT or later 128 MB RAM or more 128 MB RAM or more 100 MB free hard disk space 100 MB free hard disk space Write access to installation drive Write access to installation drive USB Port (if using flash drive) USB Port (if using flash drive) Connection to Internet Connection to Internet 3

Analyzing Poverty June 22-26, 2009 Installation Note PDQ-Explore is designed to run as a client on a PC that has Internet access to our PDQ server in Ann Arbor: pdq.psc.isr.umich.edu PDQ-Explore is designed to run as a client on a PC that has Internet access to our PDQ server in Ann Arbor: pdq.psc.isr.umich.edu By default the installation files should be copied to: By default the installation files should be copied to: C:\Program Files\PDQ C:\Program Files\PDQ NPC Computing lab machines do not allow write access to the C: drive. NPC Computing lab machines do not allow write access to the C: drive. Thus, PDQ-Explore has been installed on Drive M: (user IFS file space) and on Drive E: (external USB flash drive). Thus, PDQ-Explore has been installed on Drive M: (user IFS file space) and on Drive E: (external USB flash drive). 4

Analyzing Poverty June 22-26, 2009 Starting PDQ-Explore Open My Computer and the M: Drive Open My Computer and the M: Drive Open the PDQ Folder Open the PDQ Folder Double-Click on explore.exe Double-Click on explore.exe Or: Start, Run, m:\pdq\explore.exe Or: Start, Run, m:\pdq\explore.exe If using the flash drive, insert the flash drive in the USB port and proceed as above using Drive E: rather than Drive M:. If using the flash drive, insert the flash drive in the USB port and proceed as above using Drive E: rather than Drive M:. Note: The USB Drive letter is machine dependent Note: The USB Drive letter is machine dependent 5

Analyzing Poverty June 22-26, 2009 Getting Started Confirm server: pdq.psc.isr.umich.edu Confirm server: pdq.psc.isr.umich.edu No subscriber name/password is required No subscriber name/password is required Enter/Enter/Enter until “Open” window appears Enter/Enter/Enter until “Open” window appears Double-Click on “npc” workspace Double-Click on “npc” workspace Select and expand “ipacs08” data set Select and expand “ipacs08” data set Expand “housing” or “person” variable list Expand “housing” or “person” variable list Browse through variable list Browse through variable list Open IPUMS documentation: Open IPUMS documentation: 6

Analyzing Poverty June 22-26, 2009 Set Up Query Select a data set (ipacs08) Select a data set (ipacs08) Right click (or click on the “Query” tab) Right click (or click on the “Query” tab) Click on “Setup New Expert Query” Click on “Setup New Expert Query” Setup window opens Setup window opens Fill in the blanks (see the following slides and related handouts) Fill in the blanks (see the following slides and related handouts) Click on the “Results” tab Click on the “Results” tab 7

Analyzing Poverty June 22-26, 2009 Filling in the Blanks – Example 1 Query Name:Example 1: Emp… Query Name:Example 1: Emp… Query Type:Tabulation Query Type:Tabulation Universe/Selection: year=2007 Universe/Selection: year=2007 Row:statefip Row:statefip Column:empstat Column:empstat Weight: Weight: 8

Analyzing Poverty June 22-26, 20099

Execute Example 1 Click on “Results” Click on “Results” To get totals by row and column: To get totals by row and column: Click on “Options” “Totals” “Both” Click on “Options” “Totals” “Both” To get percentages by row: To get percentages by row: Click on “Options” “Percent Options” “Percent by Row” Click on “Options” “Percent Options” “Percent by Row” To sort in descending order on “Unemployed:” To sort in descending order on “Unemployed:” Click on “Unemployed” Click on “Unemployed” 10

11Analyzing Poverty June 22-26, 2009

Filling in the Blanks – Example 1A Query Name:Example 1 Query Name:Example 1 Query Type:Tabulation Query Type:Tabulation Universe/Selection: year=2007 Universe/Selection: year=2007 Row:statefip Row:statefip Column:empstat:1..2 Column:empstat:1..2 Weight: Weight: 12

13Analyzing Poverty June 22-26, 2009

Filling in the Blanks – Example 2 Query Name:Example 2: Sex by St Query Name:Example 2: Sex by St Query Type:Tabulation Query Type:Tabulation Universe/Selection: year=2007 Universe/Selection: year=2007 Row:statefip Row:statefip Column:sex Column:sex Weight: Weight: 14

Analyzing Poverty June 22-26, 2009 Filling in the Blanks – Example 3 Query Name:Example 3: Poverty Query Name:Example 3: Poverty Query Type:Summary Stats Query Type:Summary Stats Universe/Selection: year=2007 Universe/Selection: year=2007 Row:metaread Row:metaread Describe Expression: poverty Describe Expression: poverty Weight: Weight: 15

Analyzing Poverty June 22-26, 2009 Filling in the Blanks – Example 4 Query Name:Example 4: Poverty by Stat Query Name:Example 4: Poverty by Stat Query Type:Summary Stats Query Type:Summary Stats Universe/Sel:year=2007 & poverty>0 Universe/Sel:year=2007 & poverty>0 Row:statefip Row:statefip Describe Exp.:poverty Describe Exp.:poverty Weight: Weight: 16

Analyzing Poverty June 22-26, 2009 Data Gotchas You need to know your data: You need to know your data: Relevance to concerns Relevance to concerns Variable names Variable names Codes Codes Limits, top codes Limits, top codes Missing and N/A Codes Missing and N/A Codes Sense of reasonable and unreasonable results Sense of reasonable and unreasonable results 17

Analyzing Poverty June 22-26, 2009 PDQ-Explore Gotchas You need to know what you can ignore You need to know what you can ignore Focus on tabulations and summary stats Focus on tabulations and summary stats Large tables can be hard to interpret Large tables can be hard to interpret You need to understand the options: You need to understand the options: Percentages Percentages Totals Totals Sorting Sorting Saving/Exporting/Printing Setups and Results Saving/Exporting/Printing Setups and Results 18