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Orbit global services

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Do you want to work from home and earn 10,000 - 30,000/Month?
Orbit Global Services is currently seeking full-time & part-time employees to
enter data for over 250 companies globally. You can earn a
handsome income every month with no experience.Work Onlne in your spare time.Work from home/office/other place Visit www.orbitglobalservices.in OR mail orbitglobalservices@gmail.com Call +91-9313440369, +91-9582250630 , +91-9582250632, +91-9587716510.


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Transcript

  • 1. Use of DataPool (questionnaire design and entry)
  • 2. Introduction to DataPool
    • Data entry and documentation
    • Free program
    • Based on EpiInfo
    • Windows format
    • No limit on No of observation
    • (tested with >100.000)
  • 3. DataPool (I)
    • Creating questionnaire
    • Controlled data entry
    • Documenting and printing data
    • Correction of questionnaires, records
    • Comparing of 2 data files
    • Importing and exporting data
    • Simple analysis
  • 4. DataPool (II)
    • Simple surveys – one questionnaire
    • Complicated surveys – few questionaires
    • If there is ID – possible to merge data
  • 5. DataPool files
    • .QES file
          • Questionnaire
    • .REC file
          • Actual data
    • .CHK file
          • Any defined checks
    • Other notes or log files
  • 6. DataPool workflow
    • 1. Define Data
    • 2. Make Data File
    • 3. Set up Checks
    • 4. Enter Data
    • 5. Document
    • 6. Export Data
  • 7. Creating Questionnaire
    • Define Data
    • Can either open .QES file or create one
  • 8. New questionnaire
    • Type in window
    • Cut and paste from Word documents
    • Preview questionnaire
      • (click Make data file > preview data form)
  • 9. Structure of questionnaire
    • Three sections:
      • Field name (variable)
      • Text describing field
      • Input definition (number/ letters/ date)
  • 10. Field name (variable)
    • No more than 10 characters
    • Begin with a letter
    • No spaces or punctuation marks
  • 11. Field Name (II)
    • First word
      • Uses first word of line
    • Automatic
      • EpiData generates field names based on question
      • Uses first 10 letters
      • Childquest Child questionnaire <Y>
  • 12. Automatic field names
    • Text in curly brackets { } used in preference
    • Common words skipped (what, the, and, etc.)
    • If question starts with number, “N” is inserted before the number
  • 13. Automatic field names, examples
    • Question: Field name:
      • Did you {eat ice cream} EATICECREAM
      • What is your name? ISYOURNAME
      • 2. Age N2AGE
  • 14. Variable type
    • Define variables using “Pick List” or “Code writer”
    • Choose type of variable:
      • Numeric
      • Text
      • Date
      • Soundex
      • Boolean (Yes/No)
      • Autonumber
  • 15. Text variables
    • Information of text and/or numbers
    • Holding information (e.g. names, addresses)
    • UPPER CASE
      • Can only hold upper case (capital) letters
      • Lower case variable automatically converted into upper case text (ex: Egypt converted into EGYPT)
    • No mathematical operations
    • Length (How many characters)
    • <_>
  • 16. Numeric variables
    • Numerical information
    • Hold integers (whole numbers) or numbers with a decimal point
    • Length (digits, decimals after the comma)
    • <#>, <##.#>
  • 17. Other variables
    • Boolean variables (s. logical variables s. YES/NO variables)
      • only two possible answers: Yes or No
      • <Y>
    • Date variables:
      • Hold information on dates
      • Data in american <MM/DD/YYYY>
      • European <DD/MM/YYYY>
    • Soundex:
      • Coding of words (anonymous, eg. A-123)
      • Code to limit orthographic errors (eg. Rome and Roma)
      • <S >
  • 18. System variables
    • Values generated automatically
    • Today date: date of the data entry
      • <Today-dmy>
      • <Today-mdy>
    • Auto identification number: Counts the records entered
      • <IDNUM>
  • 19. Save Questionnaire
    • Preview data
    • Save questionnaire
      • Creates .QES file
    • Create Data file
      • Click Make Data file button > Make Data file
      • Creates .REC file
    • Questionnaire and Data file ready
    • But……
  • 20. Errors in data entry
    • T ranposition (ex: 39 becomes 93)
    • Copying errors (0 copy as an “o” letter)
    • Consistency errors: two or more responses are contradictory (sex: man, pregnancy=Yes)
    • Range errors: answers outside of probable or possible values (ex: heigh = 3 metres)
  • 21. Preventing errors
    • Standardised and previously tested questionnaire
    • Training the interviewers and data entry clerck
    • Checking and validating paper forms of the questionnaires
    • Checking during the data entry (Check module Epi-Data)
    • Validation: entering twice data by different operators
    • Checking after data entry (Analysis module Epi-Info)
  • 22. Checks (I)
    • Reduce errors in input
    • Checks help with data entry
    • Many different types
    • Examples:
      • Limit entry of numbers to specific range
      • Forcing entry to be made in field
      • Conditional jumps
      • Copying the data from the previous record
      • Help messages
      • Conditional operations (ex if….then operations)
  • 23. Checks (II)
    • Once Data file is created:
    • Click Checks button > choose .REC file
  • 24. Checks (III)
    • Range, legal:
      • 1-3, 9
      • First range then individual numbers
      • Tallinn, Riga, Vilnius
      • Fixing only min or max value
        • - INF-5 (all numbers inferior or equal 5)
        • 0-INF (all positive numbers superior or equal to 0)
    • Jumps:
      • Field: AGEYEARS
      • 0>AGEMONTHS
      • 0>AGEMONTHS, 1>ADDRESS
      • 1>END
    • MustEnter:
      • Data must be entered in Field
  • 25. Checks (IV)
    • Repeat:
      • Show data from previous record
    • Value Label
      • Add text to explain values
      • Click + to add label
      • Format as shown
      • Press F9 during data entry to see labels
  • 26. Data Entry (I)
    • Click Enter data button > choose .REC file
    • Dates:
      • 15/5/2006 – type 150506 or 15/5/06
    • Value Labels:
      • Press F9 to view
  • 27. Data Entry (II)
    • Record navigation:
    • Delete records:
      • Click cross to delete
      • Record marked for deletion, but can be recovered
  • 28. Document Tools
    • File Structure
    • Data entry notes ( .NOT file)
      • Use to write comments during data entry eg: difficult to read handwriting etc
    • View Data
    • List Data
    • Codebook
      • Basic descriptive statistics on all variables
    • Validate duplicate files
      • Check consistency after double entry
  • 29. Export to other programs
    • Click Export data button
    • Choose program
    • Including Excel, Stata, SPSS
    • For Epi-info open .REC file directly
  • 30. Created By-
    • Orbit Global Services
    • Delhi

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