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Use of EpiData (questionnaire design and entry)

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Simple analysis. EpiData (II) Simple surveys one questionnaire ... Use to write comments during data entry eg: difficult to read handwriting etc. View Data ... – PowerPoint PPT presentation

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Title: Use of EpiData (questionnaire design and entry)


1
Use of EpiData(questionnaire design and entry)
  • Jurgita Bagdonaite
  • Jurmala, Latvia, 2006
  • Based on EPIET material

2
Introduction to EpiData
  • Data entry and documentation
  • Free program
  • Based on EpiInfo
  • Windows format
  • No limit on No of observation
  • (tested with gt100.000)

3
EpiData (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
EpiData (II)
  • Simple surveys one questionnaire
  • Complicated surveys few questionaires
  • If there is ID possible to merge data

5
EpiData files
  • .QES file
  • Questionnaire
  • .REC file
  • Actual data
  • .CHK file
  • Any defined checks
  • Other notes or log files

6
EpiData 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 gt 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 ltYgt

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)
  • lt_gt

16
Numeric variables
  • Numerical information
  • Hold integers (whole numbers) or numbers with a
    decimal point
  • Length (digits, decimals after the comma)
  • ltgt, lt.gt

17
Other variables
  • Boolean variables (s. logical variables s.
    YES/NO variables)
  • only two possible answers Yes or No
  • ltYgt
  • Date variables
  • Hold information on dates
  • Data in american ltMM/DD/YYYYgt
  • European ltDD/MM/YYYYgt
  • Soundex
  • Coding of words (anonymous, eg. A-123)
  • Code to limit orthographic errors (eg. Rome and
    Roma)
  • ltS gt

18
System variables
  • Values generated automatically
  • Today date date of the data entry
  • ltToday-dmygt
  • ltToday-mdygt
  • Auto identification number Counts the records
    entered
  • ltIDNUMgt

19
Save Questionnaire
  • Preview data
  • Save questionnaire
  • Creates .QES file
  • Create Data file
  • Click Make Data file button gt Make Data file
  • Creates .REC file
  • Questionnaire and Data file ready
  • But

20
Errors in data entry
  • Tranposition (ex 39 becomes 93)
  • Copying errors (0 copy as an o letter)
  • Consistency errors two or more responses are
    contradictory (sex man, pregnancyYes)
  • 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 gt 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
  • 0gtAGEMONTHS
  • 0gtAGEMONTHS, 1gtADDRESS
  • 1gtEND
  • 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 entryto see labels

26
Data Entry (I)
  • Click Enter data button gt 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
References
  • Lauritsen JM Bruus M. EpiData (version 3.1). A
    comprehensive tool for validated entry and
    documentation of data. The EpiData Association,
    Odense Denmark, 2004.
  • Lauritsen JM, Bruus M. EpiTour - An introduction
    to validated dataentry and documentation of data
    by use of EpiData. The EpiData Association,
    Odense Denmark, 2005.

31
  • www.epidata.dk
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