ASISTS in Context
QR code for presentation2
Data Analysis is like cooking• Steps– Picking your dish– Finding the right ingredients– Cleaning your ingredients– Prepara...
Picking your dish/Picking your question to analyze• Is it an interesting question? Who is asking the question?• Do you hav...
Sample questions/picking your dish• Should my program focus on ABE or ESL?• What can my program do to improve retention?• ...
Finding the ingredients (or identifying yourdata sources)• Questions to ask:– Does the data have the right information (fi...
Accuracy/appropriateness of the data/do youhave the right spices?• For each data element ask the following questions:– Who...
Some data sources to consider/going shopping• ASISTS (https://www.asists.com)• Census (www.census.gov)• Immigration data (...
To look for in ASISTS• Existing reports (with and without dissagregation)• Downloads of existing reports• Data downloads• ...
Census data• The Decennial Census• The American Community Survey (ACS)• The Current Population Survey (CPS)• Survey of Inc...
The American Fact Finder11
Cleaning your data/washing your vegetables• Watch out for– Outliers and invalid values– Number of records that make sense•...
A data cleaning exercise• Cleaning up employment status data– Download ASISTS student data– Do percentages of student with...
The tools of the trade• Microsoft Excel• Access• For advanced statistics, R, SPSS, SAS• Census and other data rich web sit...
Preparing your data• To get your data into the right format for analysis• Recode• Sort• Group• Deleting unnecessary data• ...
Finishing your dish/analyzing the data• What do you want to say about the data?• How do you want to say it?• What analyses...
Presenting your data• Presentation is everything!• Talking about your result the right way is as important asusing the rig...
DataAnalysisasiterativeAsking theQuestionRefining theQuestionLocating thedataCleaningdataAnalysisPresentation18
19
The adult ed data blog• www.adultedgps.blogspot.com– Regular posts of data analyses and policy updates– Policy and data re...
Contact Info:Venu Thelakkatvenut@lacnyc.orgAdultedgps.blogspot.com21
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Asists in context nyacce 2013

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Venu's presentation at NYACCE in Albany May 2013

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Asists in context nyacce 2013

  1. 1. ASISTS in Context
  2. 2. QR code for presentation2
  3. 3. Data Analysis is like cooking• Steps– Picking your dish– Finding the right ingredients– Cleaning your ingredients– Preparation– Using the right tools– Finishing the dish– Final touches– Presenting the final product3
  4. 4. Picking your dish/Picking your question to analyze• Is it an interesting question? Who is asking the question?• Do you have the right data to answer these questions? (Tip:it’s not just ASISTS)• If you don’t have the data, do you know where to get it?• Do you have the right tools to do the analyses?• Who is your audience?• When do you need to be done?4
  5. 5. Sample questions/picking your dish• Should my program focus on ABE or ESL?• What can my program do to improve retention?• How can you improve program performance?5
  6. 6. Finding the ingredients (or identifying yourdata sources)• Questions to ask:– Does the data have the right information (fields)?– Do you know what each of the values in the relevant fields stand for?– Is the time frame relevant to answering the question?– Is it relevant to the geographical area for which you doing the analysis?– How reliable is the data?– Is it one data set or more than one?– If multiple data sets, can you relate them?– What are the privacy, legal and security concerns?6
  7. 7. Accuracy/appropriateness of the data/do youhave the right spices?• For each data element ask the following questions:– Who collects this data?– Why is this data being collected?– Is there a reason for systematic bias in this data?– Does this field contain a lot of missing data?– Does this field contain a large number of outlier values?– Does the data make sense?7
  8. 8. Some data sources to consider/going shopping• ASISTS (https://www.asists.com)• Census (www.census.gov)• Immigration data (http://www.dhs.gov/office-immigration-statistics)• NAAL (http://nces.ed.gov/naal/)• Other government open data projects– Data.gov (http://www.data.gov/)– NYC open data portal (https://nycopendata.socrata.com/)– NYS open data portal (https://data.ny.gov/)– Data from other government entities (example: School districts)8
  9. 9. To look for in ASISTS• Existing reports (with and without dissagregation)• Downloads of existing reports• Data downloads• Reviewing data screens9
  10. 10. Census data• The Decennial Census• The American Community Survey (ACS)• The Current Population Survey (CPS)• Survey of Income and Program Participation (SIPP)• Statistics about governments• Economic census• The American Fact Finder (AFF)10
  11. 11. The American Fact Finder11
  12. 12. Cleaning your data/washing your vegetables• Watch out for– Outliers and invalid values– Number of records that make sense• Simple methods for cleaning your data– Sorting in spreadsheets– Frequency counts• Validate against other sources12
  13. 13. A data cleaning exercise• Cleaning up employment status data– Download ASISTS student data– Do percentages of student with different status– Compare to employment statistics for your area– Talk to the manager and intake staff responsible for collecting data13
  14. 14. The tools of the trade• Microsoft Excel• Access• For advanced statistics, R, SPSS, SAS• Census and other data rich web sites• Google maps• ARC GIS for mapping• Other Google tools (Fusion, Ngage)14
  15. 15. Preparing your data• To get your data into the right format for analysis• Recode• Sort• Group• Deleting unnecessary data• Removing duplications• Delete blank rows15
  16. 16. Finishing your dish/analyzing the data• What do you want to say about the data?• How do you want to say it?• What analyses are most appropriate to answer yourquestions? (Tip: you don’t have to be a statistician to dogood data analysis)• How do you want to present your data?16
  17. 17. Presenting your data• Presentation is everything!• Talking about your result the right way is as important asusing the right tables and charts• Tools– Excel– PowerPoint– Google Fusion tables• Don’t over generalize!17
  18. 18. DataAnalysisasiterativeAsking theQuestionRefining theQuestionLocating thedataCleaningdataAnalysisPresentation18
  19. 19. 19
  20. 20. The adult ed data blog• www.adultedgps.blogspot.com– Regular posts of data analyses and policy updates– Policy and data related tweets– Searchable– Downloadable presentations20
  21. 21. Contact Info:Venu Thelakkatvenut@lacnyc.orgAdultedgps.blogspot.com21

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