analyzing poverty june 22-26, 2009 pdq-explore analyzing poverty and socioeconomic trends 1

Analyzing Poverty June 22-26, 2009

PDQ-ExplorePDQ-ExploreAnalyzing PovertyAnalyzing Poverty

andandSocioeconomic TrendsSocioeconomic Trends

1

ObjectivesObjectives To learn to:To learn to:

Open the PDQ-Explore Graphical InterfaceOpen the PDQ-Explore Graphical Interface Set up and Execute a PDQ-Explore QuerySet up and Execute a PDQ-Explore Query

TabulationsTabulations Summary StatisticsSummary Statistics

Manipulate ResultsManipulate Results TotalsTotals PercentagesPercentages PivotingPivoting SortingSorting

Save and Export ResultsSave and Export Results

2Analyzing Poverty June 22-26, 2009


RequirementsRequirements PC (Not Mac) with Windows NT or PC (Not Mac) with Windows NT or

laterlater 128 MB RAM or more128 MB RAM or more 100 MB free hard disk space100 MB free hard disk space Write access to installation driveWrite access to installation drive USB Port (if using flash drive)USB Port (if using flash drive) Connection to InternetConnection to Internet

3


Installation NoteInstallation Note PDQ-Explore is designed to run as a client PDQ-Explore is designed to run as a client

on a PC that has Internet access to our PDQ on a PC that has Internet access to our PDQ server in Ann Arbor: pdq.psc.isr.umich.eduserver in Ann Arbor: pdq.psc.isr.umich.edu

By default the installation files should be By default the installation files should be copied to:copied to: C:\Program Files\PDQC:\Program Files\PDQ

NPC Computing lab machines do not allow NPC Computing lab machines do not allow write access to the C: drive.write access to the C: drive.

Thus, PDQ-Explore has been installed on Thus, PDQ-Explore has been installed on Drive M: (user IFS file space) and on Drive Drive M: (user IFS file space) and on Drive E: (external USB flash drive).E: (external USB flash drive).

4


Starting PDQ-ExploreStarting PDQ-Explore Open My Computer and the M: DriveOpen My Computer and the M: Drive Open the PDQ FolderOpen the PDQ Folder Double-Click on explore.exeDouble-Click on explore.exe

Or: Start, Run, m:\pdq\explore.exeOr: Start, Run, m:\pdq\explore.exe

If using the flash drive, insert the flash If using the flash drive, insert the flash drive in the USB port and proceed as drive in the USB port and proceed as above using Drive E: rather than Drive M:.above using Drive E: rather than Drive M:.

Note: The USB Drive letter is machine Note: The USB Drive letter is machine dependentdependent

5


Getting StartedGetting Started Confirm server: pdq.psc.isr.umich.eduConfirm server: pdq.psc.isr.umich.edu No subscriber name/password is requiredNo subscriber name/password is required Enter/Enter/Enter until “Open” window Enter/Enter/Enter until “Open” window

appearsappears Double-Click on “npc” workspaceDouble-Click on “npc” workspace Select and expand “ipacs08” data setSelect and expand “ipacs08” data set Expand “housing” or “person” variable listExpand “housing” or “person” variable list Browse through variable listBrowse through variable list Open IPUMS documentation: Open IPUMS documentation:

http://usa.ipums.org/usa

6

http://usa.ipums.org/usa/


Set Up QuerySet Up Query Select a data set (ipacs08)Select a data set (ipacs08) Right click (or click on the “Query” Right click (or click on the “Query”

tab)tab) Click on “Setup New Expert Query”Click on “Setup New Expert Query” Setup window opensSetup window opens Fill in the blanks (see the following Fill in the blanks (see the following

slides and related handouts)slides and related handouts) Click on the “Results” tabClick on the “Results” tab

7


Filling in the Blanks – Filling in the Blanks – Example 1Example 1

Query Name:Query Name: Example Example 1: Emp…1: Emp…

Query Type:Query Type: TabulationTabulation Universe/Selection: Universe/Selection: year=2007year=2007 Row:Row: statefipstatefip Column:Column: empstatempstat Weight:Weight: <default><default>

8

Analyzing Poverty June 22-26, 2009 9


Execute Example 1Execute 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” Click on “Options” “Percent Options” “Percent by Row”“Percent by Row”

To sort in descending order on To sort in descending order on “Unemployed:”“Unemployed:” Click on “Unemployed”Click on “Unemployed”

10


Filling in the Blanks – Filling in the Blanks – Example 1AExample 1A

Query Name:Query Name: Example 1Example 1 Query Type:Query Type: TabulationTabulation Universe/Selection: Universe/Selection: year=2007year=2007 Row:Row: statefipstatefip Column:Column: empstat:1..2empstat:1..2 Weight:Weight: <default><default>

12



Query Name:Query Name: Example Example 2: Sex by St2: Sex by St

Query Type:Query Type: TabulationTabulation Universe/Selection: Universe/Selection: year=2007year=2007 Row:Row: statefipstatefip Column:Column: sexsex Weight:Weight: <default><default>

14



Query Name:Query Name: Example Example 3: Poverty3: Poverty

Query Type:Query Type: Summary Summary StatsStats

Universe/Selection: Universe/Selection: year=2007year=2007 Row:Row: metareadmetaread Describe Expression: Describe Expression: povertypoverty Weight:Weight: <default><default>

15



Query Name:Query Name: Example 4: Example 4: Poverty by StatPoverty by Stat

Query Type:Query Type: Summary StatsSummary Stats Universe/Sel:Universe/Sel: year=2007 & year=2007 &

poverty>0poverty>0 Row:Row: statefipstatefip Describe Exp.:Describe Exp.: povertypoverty Weight:Weight: <default><default>

16


Data GotchasData Gotchas You need to know your data:You need to know your data:

Relevance to concernsRelevance to concerns Variable namesVariable names CodesCodes Limits, top codesLimits, top codes Missing and N/A CodesMissing and N/A Codes Sense of reasonable and unreasonable Sense of reasonable and unreasonable

resultsresults

17


PDQ-Explore GotchasPDQ-Explore Gotchas You need to know what you can ignoreYou need to know what you can ignore Focus on tabulations and summary statsFocus on tabulations and summary stats Large tables can be hard to interpretLarge tables can be hard to interpret You need to understand the options:You need to understand the options:

PercentagesPercentages TotalsTotals SortingSorting Saving/Exporting/Printing Setups and Results Saving/Exporting/Printing Setups and Results

18

analyzing poverty june 22-26, 2009 pdq-explore analyzing poverty and socioeconomic trends 1

Documents