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Tables of Contents in the Catalog and Their Impact on Usage

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Books held at a Circulation desk, which can't easily be 'browsed' ... 'browse' data. While nearly 40% of books were checked out, fewer than 18% had browse ... – PowerPoint PPT presentation

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Title: Tables of Contents in the Catalog and Their Impact on Usage


1
Tables of Contents in the Catalog and Their
Impact on Usage Karen D. Miller Monographic/Digi
tal Projects Cataloger Michael S.
Babinec Assistant Head, Bibliographic Services
Dept. Northwestern University Library Evanston,
Ill. 60208
2
  • About Northwestern University Library
  • NUL is a research library with approximately 4.8
    million volumes held on campuses in Evanston and
    Chicago, Illinois.
  • TOC fields have been added to bibliographic
    records since 2002 using Blackwell Book Services
    TOC service.
  • Over 61,000 Blackwell TOCs have been added to
    MARC 505 fields at NUL.
  • At 1.05 per record, we wanted to determine if
    they made a statistically significant difference
    in circulation.

3
TOC in the catalog
4
  • Study Objectives
  • Sought to replicate a 1997 study done at the
    University of New Mexico Health Sciences Center
    Library by Ruth C.T. Morris
  • Hypothesis that the inclusion of Table of
    Contents (TOC) fields in bibliographic records
    influences circulation

5
  • Study Objectives
  • Do other factors interact with the TOC field to
    influence circulation?
  • We examined the effect of
  • Library location
  • Subject matter, indicated by Dewey class
  • Year of publication

6
  • Previous studies
  • Focused on smaller collections, homogeneous
    collections. One study used a health sciences
    library, one a collection of IEEE conference
    proceedings.
  • Used smaller sample sizes than NULs study (some
    as small as 180 books).
  • One looked at any kind of enhancement, including
    TOC fields, book covers, author biographies, and
    reviews.
  • All determined that TOC enhancement increased
    circulation and several concluded that prior
    circulation was also a factor.

7
  • About the study
  • Study sample randomly chosen from over 5,000
    bibliographic records with TOC enhancements
    available from Blackwell
  • 14 month study period June 2006 through July
    2007
  • 7-month study period was long enough for patrons
    to check out and return most books
  • Both periods encompassed roughly similar
    academic cycles
  • In-house browse data not as robust as
    check-out data

8
  • Defining the sample
  • We included only bib. records
  • For monographs
  • From circulating locations
  • With circulating status
  • With Dewey numbers

9
  • Refining the sample
  • We excluded
  • Course reserve material, as it needs no help to
    circulate!
  • Books assigned to the New Book Alcove and to
    study carrels
  • Books held at a Circulation desk, which cant
    easily be browsed
  • Any bibliographic record with more than one
    associated item

10
  • Study Methodology
  • 4,633 bibliographic records split into two
    groups, stratified by Library Location and Broad
    Dewey Class (at the hundreds level).
  • Study Period 1 June - December 2006 no TOC
    enhancements were added so that we could collect
    circulation (check-out) and browse (in-house
    usage) statistics.
  • Study Period 2 January July 2007 TOC
    enhancements were added to Group 2 (the test
    group) but not to Group 1 (the control group).
  • At the end of the study, we compared circulation
    increases for the two groups.

11
  • About the Study
  • We used SPSS for Windows to perform the
    statistical analysis and used outside statistical
    review of the sample stratification, study
    design, analyses, and interpretation.
  • Gary Strawn, our systems librarian, added a MARC
    035 subfield that indicated a bibliographic
    record was in the study and to which study group
    it belonged.
  • Library IT assisted in pulling data from the
    Voyager back-end databases.

12
Library Location distribution
13
Distribution of Dewey Classes
14
Distribution of Year of Publication
15
  • Study Methodology
  • We looked at several ways of measuring results
  • A binary variable indicating whether a book had
    any use (circulation plus browsing) in Period 2.
    This is the variable that the University of New
    Mexico used.
  • A binary variable that measured whether there
    was an increase in the number of times a book was
    checked out of the library from Period 1 to
    Period 2.

16
  • Study Methodology
  • We examined and dismissed several approaches
  • using in-house browse data. While nearly 40
    of books were checked out, fewer than 18 had
    browse charges
  • measuring how much circulation increased between
    the study periods

17
  • Statistical analysis
  • After examining the Year of Publication
    distribution, we narrowed our study down to 3
    variables
  • Study Group (whether a bibliographic record had
    TOC enhancement or not)
  • Library Location, with 5 values
  • Broad Dewey Class (hundreds level)

18
  • Statistical analysis
  • Relationships between each of the independent
    variables and the dependent variable were
    examined and each had merit on its own.
  • Chi-square tests indicated that all but the
    Dewey Class were independent predictors of
    circulation increase.

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  • Statistical analysis
  • Logistic regression was used to analyze the data
  • well suited to categorical independent variables
    and a binary outcome variable (increase or no
    increase)
  • measures the likelihood of a certain event
    occurring, in this case, an increase in
    circulation.
  • likelihoods are expressed with respect to
    different categories of the independent variables
    in the model.

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  • Statistical analysis
  • Dewey classes not evenly distributed and too
    closely associated with Library Location
    dropped from final model.
  • Residual analysis was performed and showed
  • No patterns of poor fit
  • No evidence of individual cases that influenced
    the model, but the Main Library influenced the
    model due to the number of cases it represents in
    the study data.

27
  • Study results
  • Enhancement of catalog records with TOC fields
    the most significant factor in determining
    whether a book had an increase in circulation.
  • A book with a TOC-enhanced Voyager record was
    24 more likely to have a circulation increase
    than a book without a TOC-enhanced record.
  • Location is also a significant predictor of
    circulation increase-- Math the most likely
    Location to see an increase, then Africana, with
    Schaffner the least.

28
  • Study results
  • Replicating the University of New Mexico study
    We looked at only whether a book was used or not
    during the second period of the study
  • TOC enhancement was still significant, making a
    book 22 more likely to be used, but not as
    significant a factor as whether the book had been
    used previously or not.
  • A book that had previously been used in-house or
    checked-out was 57 more likely to be used again
    than a book that had not been removed from the
    shelf before.

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  • Outstanding Questions
  • Isnt the TOC enhancement just as likely to
    convince a patron that a book is not what she or
    he wanted as it is to get the book checked out of
    the library? We dont know and maybe well never
    know. We cant read minds, only databases.
  • Our speculation is that the TOC enhancements
    result in an increase in recall, which turns up
    books that might not have been otherwise. Whether
    this results in a corresponding increase in
    precision is still unknown.

31
  • Additional Research
  • Our next study will examine keyword searching.
    We hope to answer
  • What percent of keywords were found only in the
    TOC field?
  • What percent were found only in the subject
    heading fields?
  • What percent were found in transcribed fields?
  • We hope to see you next year in Chicago with the
    exciting conclusions of our keyword search study!

32
  • Many thanks to.
  • Gary Strawn, Authorities Librarian/Library
    Systems Analyst, for help interpreting Voyager
    coding and SQL.
  • Stu Baker, Assistant Director of Library
    Technology, for giving us the go-ahead to pester
    the Voyager DBA and Gary Strawn.
  • Suzette Radford, Head of Circulation Services,
    for guidance on where to get data and how to
    interpret it.
  • David D. Morris, Director of Statistics at
    WebbWrites Clinical Writing Statistics
  • David P. Nichols, Master Statistician, SPSS Inc.

33

Please direct questions and comments to Karen
D. Miller Monographic/Digital Projects
Cataloger k-miller3_at_northwestern.edu Michael S.
Babinec Assistant Head, Bibliographic Services
Dept. m-babinec_at_northwestern.edu Slides are
online at http//presentations.ala.org Papers
will be published as part of the ALA conference
proceedings.
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