Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Evaluating Quality of Online Behavior Data
Stockholm University, Faculty of Social Sciences, Department of Statistics.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This thesis has two purposes; emphasizing the importance of data quality of Big Data, and identifying and evaluating potential error sources in JavaScript tracking (a client side on - site online behavior clickstream data collection method commonly used in web analytics). The importance of data quality of Big Data is emphasized through the evaluation of JavaScript tracking. The Total Survey Error framework is applied to JavaScript tracking and 17 nonsampling error sources are identified and evaluated. The bias imposed by these error sources varies from large to small, but the major takeaway is the large number of error sources actually identified. More work is needed. Big Data has much to gain from quality work. Similarly, there is much that can be done with statistics in web analytics.

Place, publisher, year, edition, pages
2013. , 48 p.
Keyword [en]
Big Data, Data quality, Total Survey Error, Nonsampling errors, Web analytics, Clickstream data, JavaScript tracking
National Category
Social Sciences Interdisciplinary
Identifiers
URN: urn:nbn:se:su:diva-97524OAI: oai:DiVA.org:su-97524DiVA: diva2:678725
Presentation
2013-05-31, B705, Department of Statistics, Stockholm University, Stockholm, 09:00 (English)
Supervisors
Examiners
Available from: 2014-01-23 Created: 2013-12-12 Last updated: 2014-01-23Bibliographically approved

Open Access in DiVA

Evaluating Quality of Online Behavior Data(789 kB)474 downloads
File information
File name FULLTEXT01.pdfFile size 789 kBChecksum SHA-512
f6c11e0013dc93b887d6ad50f87733f73c13c7a75daab0a4938e28170ae4a3075c4b6b64dd7787a3b980c331cd068a175ee2c68a63c4f2da79851a37ebcda47f
Type fulltextMimetype application/pdf

By organisation
Department of Statistics
Social Sciences Interdisciplinary

Search outside of DiVA

GoogleGoogle Scholar
Total: 474 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 401 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf