Graduate Thesis Or Dissertation
 

Survey of collection analysis practices in public and academic libraries in the United States, and the effect of automation thereon

Public Deposited

Downloadable Content

Download PDF
https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/2f75rb06w

Descriptions

Attribute NameValues
Creator
Abstract
  • This study investigated the practices public and academic library administrators find useful and utilize in analyzing use of collections. The study also investigated administrators' satisfaction with their collection use analysis practices, and the impact they perceived automation to have upon collection use analysis practices. A survey developed for this study was sent to two stratified random samples of 495 academic libraries and 605 public libraries in the United States. Eight hundred and eighty-eight usable responses were received. Chi-square analyses of six null hypotheses were made and data analyzed computing totals, percentages and rankings. All six null hypotheses were rejected in specific instances. There were differences in the collection analysis practices nonautomated and automated libraries in the sample used found useful. There was a correlation between a library's satisfaction with its practices and its state of automation. In two of four instances there was a generalizable difference between the expectations of automated and nonautomated libraries regarding the utility of automated systems in gathering data for analyzing collection use. There was a difference in the practices used by the sample of automated and nonautomated libraries to analyze collection use. There was a difference in the collection analysis practices identified as useful by the sample of academic and public libraries. There was a difference in the practices used by the sample of academic and public libraries to analyze collection use.
Resource Type
Date Available
Date Issued
Degree Level
Degree Name
Degree Field
Degree Grantor
Commencement Year
Advisor
Committee Member
Academic Affiliation
Non-Academic Affiliation
Subject
Rights Statement
Publisher
Peer Reviewed
Language
Digitization Specifications
  • File scanned at 300 ppi (Monochrome) using Capture Perfect 3.0.82 on a Canon DR-9080C in PDF format. CVista PdfCompressor 4.0 was used for pdf compression and textual OCR.
Replaces

Relationships

Parents:

This work has no parents.

In Collection:

Items