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Analyze This! An Iterative Analysis of Reference Statistics PowerPoint PPT Presentation


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Analyze This! An Iterative Analysis of Reference Statistics. Nadia J. Lalla, Erin Kerby , Deborah Lauseng Taubman Health Sciences Library University of Michigan. The Three Amigos. Deborah. Nadia. Erin (with Alfie ). Original Service Model. In the Beginning. Original Service Model.

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Analyze This! An Iterative Analysis of Reference Statistics

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Analyze this an iterative analysis of reference statistics

Analyze This!An Iterative Analysis of

Reference Statistics

Nadia J. Lalla, Erin Kerby, Deborah LausengTaubman Health Sciences LibraryUniversity of Michigan


Analyze this an iterative analysis of reference statistics

The Three Amigos

Deborah

Nadia

Erin (with Alfie)


Analyze this an iterative analysis of reference statistics

Original Service Model

In the Beginning


Analyze this an iterative analysis of reference statistics

Original Service Model

Does the transaction datasupport our service model?


Analyze this an iterative analysis of reference statistics

I Have A Question!

Types of Questions

Circulation

Reference

Directional

Access

Research

Citation Management

Where Are Questions Asked

Integrated Reference/Information Desk

Phone

Email

Office Hours

Consultations


Analyze this an iterative analysis of reference statistics

The Counting Part


Analyze this an iterative analysis of reference statistics

Year One (June 2010 – July 2011)

Monthly statistical nag

End of the year statistical beg

Ran a basic report (who, what, when, where)

Performed a trend analysis


Analyze this an iterative analysis of reference statistics

Trends in Usage at Service Points

Trends in Usage of Service Points


Analyze this an iterative analysis of reference statistics

Purpose of Contact


Analyze this an iterative analysis of reference statistics

Peak Service Times


Analyze this an iterative analysis of reference statistics

Trends in usage andpeak services times were as expected.


Analyze this an iterative analysis of reference statistics

Could a New Service Model Work?


Analyze this an iterative analysis of reference statistics

Simultaneous Uniform Single Service Point

  • Staffing

  • Reference staff at Information/Circulation Desk

  • Circulation = backup support to reference

  • Requires a higher skill set

  • More expertise

  • Greater knowledge of sources


Analyze this an iterative analysis of reference statistics

Year Two (June 2011 – July 2012)

DeskTracker and Footprints statistics gathering

Additional data collection instrument

Affinity analysis


Analyze this an iterative analysis of reference statistics

Problems with Data Collection


Analyze this an iterative analysis of reference statistics

A New Nag


Analyze this an iterative analysis of reference statistics

Interpretation is a Fine Art

AKA how to drive your SI student insane


Analyze this an iterative analysis of reference statistics

Information/Circulation Desk

n=1,591


Analyze this an iterative analysis of reference statistics

The Details – Information/Circulation Desk

Total=322


Analyze this an iterative analysis of reference statistics

Backup/Reference

n=765


Analyze this an iterative analysis of reference statistics

The Details – Backup/Reference

n=551


Analyze this an iterative analysis of reference statistics

Immediate Changes @ THL

  • School of Information students and some backup staff trained on circulation skills.

  • Selected non-SI students trained to provide basic reference assistance for ejournal access issues, citation verification, and basic PubMed/CINAHL searches.

  • Liaisons Librarians delegate all circulation questions and most ejournal access questions.

  • Librarians handle the most difficult reference questions.


Analyze this an iterative analysis of reference statistics

Library-Wide Changes

Changes to types of data collected


Analyze this an iterative analysis of reference statistics

Institutional Changes

A A major building renovation


Analyze this an iterative analysis of reference statistics

Points to Consider

Difficult to separate the question from the cause of the question (i.e., what is the question really about?)

Theoretically, access is easier with so much online but …. people still need help with HOW to access ebooks,ejournals, etc. These are not easy transactions.

Ongoing reluctance/resistance to enter statistics (librarians) and record details on questions (staff/students).

There’s a lot of data.


Analyze this an iterative analysis of reference statistics

Contact Information

Nadia J. Lalla, MLIS

Coordinator, Collections & Information Services

Taubman Health Sciences Library

The University of Michigan

Ann Arbor, MI

[email protected]

Erin Kerby, MSI

Veterinary Medicine Librarian

Veterinary Medicine Library

The University of Illinois at Urbana-Champaign

[email protected]

Deborah Lauseng, AMLS

Coordinator, Liaison Services

TaubmanHealth Sciences Library

The University of Michigan

Ann Arbor, MI

[email protected]


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