1 / 20

Unobtrusive Methods for Social Science Research

Unobtrusive Methods for Social Science Research . A Neglected Methodological Approach in the Social Sciences Yoram M Kalman. Resources. Methodological Weaknesses of Interviews & Questionnaires. Responders provide answers that are in line: with self-image with researcher expectations

Mia_John
Télécharger la présentation

Unobtrusive Methods for Social Science Research

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Unobtrusive Methods forSocial Science Research A Neglected Methodological Approach in the Social Sciences Yoram M Kalman

  2. Resources

  3. Methodological Weaknesses of Interviews & Questionnaires • Responders provide answers that are in line: • with self-image • with researcher expectations • We only get answers from those who are accessible and willing to respond • Hawthorne effect, etc.

  4. Justifications for Unobtrusive Measures • Complementary to direct elicitation techniques • Adaptable in situations where eliciting is difficult and/or dangerous • Approach that promotes creative methodologies

  5. Categories of Unobtrusive Data • Found data • Captured data • Retrieved data • Running records • Personal and episodic records

  6. Found Data – Erosion • Floor tiles around chick exhibit • Popularity of gym apparati by chalk consumed • Popularity of library books by smudges, finger marks etc. • Leaflets in different languages in tourist sites • Postcards in museum exhibits • Paper tissue and cough medicine in campus store correlated with class attendance records • Fun, but relatively rare in research

  7. Found Data – Accretion • Before and after electric waste disposal units: change in fly population measured on car grilles • Graffiti: • Racial tensions in Hawaii • Youth relationships in high schools • Correctional facility for male juveniles • Garbology: • Survey data on alcohol consumption vs. number of empty alcohol containers appearing in garbage cans. The survey data underestimated consumption due to high refusal rate and exclusion of teenage drinkers • Others: Condom wrappers1976-1984, and beyond; Beer tabs vs. beer cans as evidence for recycling. • In US, 4th amendment issues

  8. Found Data – Disadvantages • Conservative estimate • Socially dependent • Takes time to accumulate • Inferentially weak

  9. Captured Data • Exterior physical signs: head and facial hair, tattooing, clothing and adornments • Expressive movement: demeanor, eye gaze, touching, verbal latency • Physical location: proxemics, spatial arrangement • In-situ conversation: pronunciation • Time related behavior: often neglected. Duration as proxy for importance, time of day influencing behavior

  10. Retrieved Data – Running Records • Running records vs. episodic and private records: e.g.: mass media, reference works, records of proceedings • Lengthy periods of time • Ubiquitous • Lower cost • Less amenable to self report • Allow the exploration of trends and temporal patterns • Limitation: collected by others

  11. Retrieved Data – Running Records • Mass media: news stories, advertisements, photographs, obituaries/weeding announcements • Reference works: directories, almanacs, yearbooks • Records of proceedings: discussions and decisions

  12. Retrieved Data – Running Records • Actuarial records: births, deaths, marriages • Personal ads: • Jagger (1998) and gender conceptions in 1st and 2nd halves of 20th century • Race relations • HIV status • Marriage announcements and obituaries: • Class vs. church denomination • Gender vs. occupation • Gender vs. length of obituary • Others: job ads, book lists, phone books, etc.

  13. Retrieved Data – Disadvantages • Often can’t be used “as is”. Should consult with those who produced them (reactivity!) • Quality issues, especially when more extensive • Selectivity: exclusion and inclusion criteria • Statistics might reflect more the organization collecting the data, than the sources of the data • Confidentiality

  14. Retrieved Data – Personal and Episodic Records • Best example is personal documents: • Letters • Diaries/ daily journals • Autobiographies • CV’s • Wills • Photo albums

  15. Key Principles of Unobtrusive Measurement • Construct and impose multiple indices that converge • Assume noise is rare • Investigators believe in amortization • Find foolishness functional • Ponder the variance rather than the mean • Investigators use expectancy as a control Webb & Weick, 1983 in Lee, 2000

  16. Example: What email Latency Constitutes Silence? • Response latencies in Enron emails • Research on CRM in hotel industry • Chain letters • OOO messages • Published corporate policies • Blog postings discussing online responsiveness + • Questionnaires • EVT experiments

  17. Key Challenges • Unconventional measures stand out and could receive less respect • Often, unchartered ground • Privacy: • When does observation intrude on privacy • Informed consent, etc. are reactive • Challenge is multiplied in online settings • Falling in love with methodology

  18. Unobtrusive Measures Online • Plenty of sources • Searchable • Digitized, and ready for processing • Logs • Sharing with other researchers • Demographics of online users are no longer unrepresentative • Less limited geographically

  19. Conclusion • Originality and innovation • Complementary, triangulation • Do the impossible: • Sensitive issues • Limited resources • ICT revolution a significant influence • Beware of: • Ethical challenges • Methodological pitfalls

  20. Yoram Kalman www.kalmans.com Center for the research of the Information Society yoram@kalmans.com

More Related