twitter: helpful or hassle?
DESCRIPTION
An overview of an ongoing study on the effectiveness of Twitter use in academic libraries in the U.S. Notes from presentation available at http://www.abbybedford.com/static/docs/TechTrendsPresentationNotes.pdfTRANSCRIPT
TWITTERhelpful or hassle?
Abby Bedford, MSI
Why do a study about
Twitter?
““The library world has been far too gullible, far too willing to regard any technical advance as a service advance[.]
Lauer, J. D., & McKinzie, S. (2002/2003). Bad moon rising: A candid examination of digital reference and what it means to the profession. Reference Librarian, 38(79/80), 45-56.
Assessment
Literature
Ownership
Question
Are academic librariesin the United States reaching who they
think they are reaching via Twitter?
Study Design
• Get IRB approval
• Get IRB approval- This EXEMPT research protocol has been approved by the
Human Research Review Committee at Grand Valley State University. File No. 11-156-H.
• Get IRB approval- This EXEMPT research protocol has been approved by the
Human Research Review Committee at Grand Valley State University. File No. 11-156-H.
• Identify U.S. academic libraries with Twitter accounts
• Get IRB approval- This EXEMPT research protocol has been approved by the
Human Research Review Committee at Grand Valley State University. File No. 11-156-H.
• Identify U.S. academic libraries with Twitter accounts
• Send these libraries a survey
• Get IRB approval- This EXEMPT research protocol has been approved by the
Human Research Review Committee at Grand Valley State University. File No. 11-156-H.
• Identify U.S. academic libraries with Twitter accounts
• Send these libraries a survey
• Code followers of the libraries that answer the survey
• Get IRB approval- This EXEMPT research protocol has been approved by the
Human Research Review Committee at Grand Valley State University. File No. 11-156-H.
• Identify U.S. academic libraries with Twitter accounts
• Send these libraries a survey
• Code followers of the libraries that answer the survey
• Analyze data
Methodology
Identification
@researchinglib
485
Survey
via Twitter
via email
113
Sample
• targeting students specifically, university at large, or both
• currently active Twitter account
111
•ANOVA (analysis of variance)
• 2 degrees of freedom
Cohen, J. (1992). A power primer. Psychological Bulletin, 112, 155-159.
64
Data
1 - alumni/major/undergrad
2 - professor
4 - librarian/library/archivist
7 - [blank]
site:http://matthew.reidsrow.com/
projects/tweeps/
code:https://github.com/mreidsma/
tweepgrabber
1. Students/Alumni
2. Faculty/Sta!
3. University Entity
4. Library/Librarian/Library Assn./Library Vendor
5. Local Business
6. Una"liated
7. Unknown
1. Students/Alumni
2. Faculty/Sta!
3. University Entity
4. Library/Librarian/Library Assn./Library Vendor
5. Local Business
6. Una"liated
7. Unknown
1. Students/Alumni
2. Faculty/Sta!
3. University Entity Affiliated
1. Students/Alumni
2. Faculty/Sta!
3. University Entity
4. Library/Librarian/Library Assn./Library Vendor
5. Local Business
6. Una"liated
7. Unknown
1. Students/Alumni
2. Faculty/Sta!
3. University Entity
4. Library/Librarian/Library Assn./Library Vendor
5. Local Business
6. Una"liated
1. Students/Alumni
2. Faculty/Sta!
3. University Entity Affiliated
Unaffiliated
1. Students/Alumni
2. Faculty/Sta!
3. University Entity
4. Library/Librarian/Library Assn./Library Vendor
5. Local Business
6. Una"liated
7. Unknown
1. Students/Alumni
2. Faculty/Sta!
3. University Entity
4. Library/Librarian/Library Assn./Library Vendor
5. Local Business
6. Una"liated
1. Students/Alumni
2. Faculty/Sta!
3. University Entity Affiliated
Unaffiliated
Unknown
PreliminaryResults
average % based on initial coding of 20 libraries
average % based on initial coding of 20 libraries
What’s next?
More coding!
StatisticalAnalysis
DescriptiveAnalysis
Demographics
Conclusions &Recommendations
Write it up.
Breathe
QUESTIONS?
QUESTIONS?Abby [email protected]@abby_elizabeth