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The importance of qualitative research: knowing what&why Michael Holmes
2
Web analytics & consumer surveyswon’t drive reinvention 3 (quant       vision)
Getting past assumptionsrequires non-assumptive research 4 (vision    qual    quant)
methodological oppositions Quantitative	Qualitative Affordable	Expensive Numeric 	Linguistic Ontological 	Phenomenological Objective 	Subjective Predictive 	Descriptive General 	Special Law of large numbers	Law of the example Revealing simplicity	Revealing complexity Confirmation	Discovery A priori	Emergent 5
6 Do you think “Millennials  don’t care about   online privacy”? www.researchcmd.com/?p=1545
logics of explanation X Y Z variance   things: entities & attributes process   stories: events & sequences 1  ->  2  ->  3 ...  7 c a d network   flows: nodes & links b e
variance logic Automatic Classification of Web Queries Jansen, et al. (2008) note:  75% accuracy rate 8
9
process logic 10
Google SearchStories 11
network logic 12
From demographic and psychographic to sociogramic 13
Your logic binds & blinds you whatever your method 14
qualitative methods traditional alternative brain scanning eye tracking e-diaries experience sampling auto-ethnography consumer photo essays consumer video essays UGC data mining discourse analysis environmental traces ideation groups ethnomethodology observation 1st person diaries, journals, think-aloud protocols, etc. 2nd person ethnography,  naturalistic field studies, etc. interviews depth interviews focus groups 15
evaluating qualitative research coherence 		internal validity	->	credibility   consensus 		reliability  		-> 	dependability 		objectivity  	-> 	confirmability instrumental utility 		external validity 	-> 	transferability    16
some non-assumptive ideas about search types 17
a common a priori classification  Informational search: 	document target Navigational search:  	location target Transactional search: 	task target 18 But we always search  “Because of…” or “In order to…”
vanity search 19
Google him/her/me/them 20
distracted search from redwing…   …to redwing  Photo © 2004 Bill Thomas Woodworking 21
novice vs. expert search 22
some user-centric search types Forgotten Failed Oops…NSFW Teleport/wormhole Conversation competitive  confirmation Searching while…  etc. 23
Thank you send questions, comments, criticism & defibrillation expense requests to: Michael Holmes mholmes@bsu.edu 24

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Sis fri 1030 michael holmes

Notas do Editor

  1. The problem in this logic is defining & validating entities & attributes and measuring them reliably
  2. Lots of other ways of classifying search types - in as many as 10 types!
  3. Especially important in thinking about WOM