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Data Management Training

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Train local data collectors on uniformity in data collection (codebook). Download paper copies of forms for distribution to data collectors. ... – PowerPoint PPT presentation

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Title: Data Management Training


1
Data Management Training
  • Using TELEform to Maximize Local Data Collection
    Processing
  • Tim Brittingham
  • Lynda Williams

2
TELEform Modules
  • Created 10 local data collection modules
  • HIV/AIDS Attitude Knowledge Survey (pre post)
  • Pastoral/Lay Leaders Care Inventory (pre post)
  • Enrollment Demographics
  • Belief Behavior Inventory
  • HIV Risk Behaviors
  • HIV Risk Factors
  • Self Value
  • Client Satisfaction

3
Review of Key Decisions
  • E-form Submission
  • Exported to SPSS
  • Cleaning Process
  • Ottis
  • Primary recipient of SPSS data file
  • Work with Millard on cleaning data
  • Millard
  • Organize data collection in field
  • Control data entry
  • Submit data electronically

4
Data Collection in the Field
  • Train local data collectors on uniformity in data
    collection (codebook).
  • Download paper copies of forms for distribution
    to data collectors.
  • Limit access to web-based entry.
  • Capture critical data elements.

5
THE Critical Element
  • The HRSA number represents the client/participant
  • Links all forms
  • Protects confidentiality
  • (exercise)

6
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7
Overview of Submission Methods
  • Paper-based faxing
  • Paper-based scanning (mail)
  • Web-based entry Adobe pdf
  • Web-based entry html

8
TELEform Process Flow Chart
9
TELEform Process Flow Chart Narrative
  • Paper forms submitted via faxing or mail
  • Fax Software
  • TELEform Scan Station
  • Data entered via the Internet
  • TELEform Internet Server
  • Data processed at OU by TELEform Reader
  • Data processed at OU by TELEform Verifier
  • Data exported to SPSS

10
Web-based entry Adobe pdf
  • Pros
  • Forms look like paper version
  • Available submission 24/7
  • Reduces error rate
  • Immediate receipt by OU
  • Quicker turn-around time data processing and
    SPSS file return
  • Reset button allows for quick, multiple entries
  • Forms can be completed off-line
  • Cons
  • Must have Internet access
  • Open-ended text fields are on subsequent pages
  • Possible to submit incomplete forms

11
Web-based entry html
  • Pros
  • Open-ended text fields are on appropriate pages
  • Available submission 24/7
  • Reduces error rate compared to paper-based forms
  • Immediate receipt by OU
  • Quicker turn-around time data processing and
    SPSS file return
  • Reset button allows for quick, multiple entries
  • Do not need pdf software
  • Cons
  • Forms do not look like paper version
  • Must have Internet access
  • Possible to submit incomplete forms
  • Easier to make errors than in pdf version

12
Data Entry
  • User Name database
  • Password think of Millards kids
  • Username and password are case sensitive
  • Use Internet Explorer
  • Remember to close your Internet Browser after
    submitting all of your data.

13
Data Submission Method
  • Paper
  • Adobe PDF
  • HTML

14
Paper Forms
15
Adobe PDF Forms
16
HTML Forms
17
Completing Web-based forms
  • Its going to happen
  • Submit incomplete data
  • Ghost submissions
  • Technology systems will fail
  • How to make life easier
  • Identify the case to OU
  • Verify data after receipt
  • Alternate submission methods exist

18
Plan B
  • If you ever need to submit faxed or mailed forms,
    you must keep these points in mind
  • CALL ME!!!
  • Forms must be first-generation copies
  • Handwriting must legible
  • Sets of forms must remain together
  • It will be helpful to use the examples on the
    next slides

19
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20
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21
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22
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23
Data Flow Chart
24
Data Flow Chart Narrative
  • Data collected in field
  • Data goes to Millard
  • Millard identifies data errors, verifies
  • Millard enters data on-line
  • Data received by OU
  • Data processed by OU
  • Data stored
  • Data errors identified
  • Data cleaning
  • Clarification on key contacts
  • Data stored

25
Samples of Data Cleaning Email Formats
26
Open Discussion on Local Forms
  • HIV/AIDS Attitude Knowledge Survey (pre post)
  • Pastoral/Lay Leaders Care Inventory (pre post)
  • Enrollment Demographics
  • Belief Behavior Inventory
  • HIV Risk Behaviors
  • HIV Risk Factors
  • Self Value
  • Client Satisfaction
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