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Surveys & Data Entry SystemSurveys & Data Entry System• Before you start• Limesurvey & alii• Encoding questions • Exploratory Data
analysis
Edouard LegoupilData Management Officerlegoupil@unhcr.org
Surveys and Data Entry System
Test & Pilot your survey !
Evaluate the competency of the questionnaire. Estimate the length of the survey or time to take
the survey. Determine the quality of the surveyor.
Before you start
Do the respondents understand the survey’s objective? Do the respondents feel comfortable answering the questions? Is the wording of the survey clear? Is the time reference clear to the respondents? Are the answer choices compatible with the respondents’ experience in the matter? Do any of the items require the respondent to think too long or hard before responding? Which ones? Which items produce irritation, embarrassment, or confusion? Do any of the questions generate response bias? Which ones? Do the answers collected reflect what you want in regards to the purpose of the survey? Is there enough diversity in the answers received? Is the survey too long? According to your test audience, have any other important issues been overlooked?
Surveys and Data Entry System
Database must be developed when you need to UPDATE
If it's a one time data entry, use a dedicated survey application – no need to code
Get the printed form from the application rather than redoing in Word/Excel
Database for surveyBefore you start
Surveys and Data Entry System
LimeSurvey #1 in Open Source
• Unlimited surveys, questions, participants• Multi-lingual – 50 languages front/back• 20 question types• Branching / skip logic• Assessment surveys / dynamic feedback• Reusable answer / label sets• Anonymous / tracked surveys
LimeSurvey
Surveys and Data Entry System
Why you should use it?
1. Available right now, free of charge2. Can be used off line on a local server3. If online,
• Facilitate the technical review of your form
• Make your forms/questions available for other Information managers in a ready to be re-used format
• Facilitate the archiving of the data
Surveys and Data Entry System
Survey Online Data Entry platform:http://data.unhcr.org/survey
LimeSurvey
Surveys and Data Entry System
LimeSurvey Features…
• WYSIWYG HTML edits (bold, italics, links)• Saved survey, continue later• Cookie or session based surveys• Templates for survey look & feel• Back-office data entry support (paper)• Expiration of surveys• Import/export CSV, SPSS, Excel• User management / one-time use tokens
LimeSurvey
Surveys and Data Entry System
Encoding questionsLimeSurvey
• Problems with array questions mixed with multiple choices
http://docs.limesurvey.org/tiki-index.php?page=Workarounds:+Question+design,+layout+and+templating#Multiple_question_types_in_array
Surveys and Data Entry System
Data entry versatility
Export to queXML
Generation of scannable paperformhttps://surveys.acspri.org.au/quexmltools/
Automatic recognition of scanned forms
Configuration of the “master form” throughLimesurvey administrator interface
Hand filled forms then Data entry through Limesurvey front office
Few closed questions + many enumerators
Cell life script cf EMIT O.4http://trac.cell-life.org/EMIT/wiki/LimeToJavaRosa
Export to Xforms
Mobile Data Entry on Android phone with ODK
Mostly closed questions + few enumerators
http://quexml.sourceforge.net/
Mostly open questions + many enumerators
LimeSurvey & Alii
Surveys and Data Entry System
Scanned forms
http://quexf.sourceforge.net/http://quexml.sourceforge.net/ Presentation of the system:http://quexf.sourceforge.net/sites/default/files/Web_based_paper_form_verification_using_queXF.pdf
LimeSurvey & Alii
Surveys and Data Entry System
Descriptive analysis & Exploratory analysisAnalysis
1. Descriptive statistic are mostly “Univariate analysis”. It involves the examination across cases of a single variable, focusing on three characteristics: the distribution; the
central tendency; and the dispersion
Example: a frequency distribution chart
2. Exploratory analysis is an approach to analyzing data for the purpose of formulating hypotheses. “Multivariate or Factor analysis” are used to uncover the latent structure (dimensions) of a set of variables. It reduces attribute space from a larger number of variables to a smaller number of factors and allows the definition of
statistically consistent cluster.
Example: Multivariate cluster analysis from three measurements of femur properties
source
From Wikipedia
Possibility to define the characteristics of statistically homogenous groups. Those characteristics can then be used to build targeted assistance programme!
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