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Understanding User Discovery of ETD: Metadata or Full-Text, How Did They Get There?

Presentation for the 2015 US Electronic Thesis and Dissertation Association (USETDA) Annual Conference. This presentation discusses understanding user discovery of electronic theses and dissertations (ETDs) and whether users make use of metadata records when searching or full text searching.
Date: September 30, 2015
Creator: Alemneh, Daniel Gelaw
Object Type: Presentation
System: The UNT Digital Library

Disaster Management in the Church and Synagogue Library

Presentation for the 2015 National Church and Synagogue Library Association Conference. This presentation discusses disaster management in the Church and Synagogue Library.
Date: July 30, 2015
Creator: Feustle, Maristella
Object Type: Presentation
System: The UNT Digital Library
Comparing interval estimates for small sample ordinal CFA models (open access)

Comparing interval estimates for small sample ordinal CFA models

This article compares Bayesian, Robust maximum likelihood, and asymptotically generalized least squares interval estimates of factor correlations in ordinal confirmatory factor analysis models for small sample data.
Date: October 30, 2015
Creator: Natesan, Prathiba
Object Type: Article
System: The UNT Digital Library

Enhancing Access to ETD Catalog Records

Poster presented at the 2015 US Electronic Thesis and Dissertation Association (USETDA) Annual Conference. This poster discusses enhancing access to ETD catalog records.
Date: September 30, 2015
Creator: Sassen, Catherine
Object Type: Poster
System: The UNT Digital Library
Assessment of Cataloging Services in an Academic Library (open access)

Assessment of Cataloging Services in an Academic Library

This article contains survey data on cataloging services as assessed by personnel in the Public Services Division and the Catalog and Metadata Services Department.
Date: December 30, 2015
Creator: Sassen, Catherine; Loafman, Kathryn & Welch, Rebecca
Object Type: Article
System: The UNT Digital Library
Detecting Stems in Dense and Homogeneous Forest Using Single-Scan TLS (open access)

Detecting Stems in Dense and Homogeneous Forest Using Single-Scan TLS

This article presents a new method to automatically detect stems in dense and homogeneous forest using single-scan terrestrial laser scanning (TLS) data.
Date: August 31, 2015
Creator: Xia, Shaobo; Wang, Cheng; Pan, Feifei; Xi, Xiaohuan; Zeng, Hongcheng & Liu, He
Object Type: Article
System: The UNT Digital Library