WWW data collection

1
WWW data collection

• Jan B. Steffensen
• Royal School of Library and Information Science

2
CASIC

• Computer Assisted Survey Information Collection
• Email
• Computer disks
• Combination with telephones

3
WWW technology

• Hyper Text Markup Language
• Javascript
• Active Server Pages

4
Popularization

• Access to Internet
• Access to static publication on WWW
• Access to publication of dynamic documents /
  databases

5
Strengths - Opportunities

• Cost reduction
• Accuracy
• Validation
• Easy communication to respondents
• Cross-platform technology
• Flexible questionnaire design
• Jumps and linking in questionnaires

6
Validation

• Forcing answers
• Eliminate values
• Eliminate multiple answers
• Trap contradictions
• Eliminate irrelevant questions

7
Weaknesses - Threats

• Little or no control of sampling
• Exclusion of respondents

8
Survey types

• pools - one simple question
• user panels - questionnaire to the same group
  of respondents
• - user surveys - multi-question one-time survey

9
Storage and retrieval

• input from respondents
• storage of data in a database
• retrieval and analysis of data

10
Input

• Simple text question
• HTML TEXT
• Complex text question
• HTML TEXTAREA
• One fixed answer
• HTML RADIO
• More than one fixed answer
• HTML SELECT .. OPTION
• HTML CHECK

11
Questionnaire WWW publication Database
generation Online analysis
Questions (variables) Values
WebQ
12
Two tables

• ANSWERS
• Values of the various variables
• Storage and retrieval

• QUESTIONS
• Questions, values (range), labels
• Questionnaire design, interface design,
  explanatory texting