The Read Feed - Reviews

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Elizabeth Parang reviews Guide to Streaming Video Acquisitions; Jill M. Church reviews Electronic Resources Librarianship: A Practical Guide for Librarians; Robert T. Wilson reviews Using Digital Analytics for Smart Assessment.     

Reviews

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Heather Baker reviews The no-nonsense guide to leadership, management, and teamwork; Elizabeth Parang reviews Systematic searching: Practical ideas for improving results; Anne Washington reviews Digital preservation in libraries: Preparing for a sustainable future.     

Reviews

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Beth Ashmore reviews The Purpose-Based Library: Finding Your Path to Survival, Success and Growth; Scott Johnson reviews Metaliteracy in Practice; Catherine Johnson reviews Teaching Information Literacy Reframed: 50+ Framework-Based Exercises for Creating Information-Literate Learners; Adolfo G. Prieto reviews Dynamic Research Support for Academic Libraries.     

The Read Feed: Reviews

ABSTRACT

Heylicken Moreno reviews Linked Data for Libraries, Archives and Museums: How to Clean, Link and Publish Your Metadata; Trina Boykin Nolen reviews Metaliteracy: Reinventing Information Literacy to Empower Learners; Stephanie Rosenblatt reviews Records and Information Management.     

Tools of the Serials Trade

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Trina Nolen reviews Rethinking Information Literacy; Elizabeth Parang, Fundamentals of Managing Reference Collections; Ann Roll reviews Building and Managing E-Book Collections; and Sarah Tusa reviews HR: A Human Resources Handbook for Academic Library Staff.     

Editorial Peer Review: Its Strengths and Weaknesses

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Michelle DeMars reviews Emerging Strategies for Supporting Student Learning: A Practical Guide for Librarians and Educators; Elizabeth Parang reviews Shared Collections: Collaborative Stewardship.     

Reviews

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Jill M. Church reviews Exploring Discovery: The Front Door to Your Library's Licensed and Digitized Content; Scott Johnson reviews Now You're a Manager: Quick and Practical Strategies for New Mid-level Managers in Academic Libraries.     

The Read Feed—Reviews

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Beth Ashmore reviews More Library Mashups: Exploring New Ways to Deliver Library Data; Michelle DeMars reviews Library Consortia: Models for Collaboration and Sustainability; Sarah Tusa reviews Library Management in Disruptive Times: Skills and Knowledge for an Uncertain Future.     

Reviews

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Elizabeth Parang reviews Reengineering the Library: Issues in Electronic Resources Management. Scott Johnson reviews Academic Library Management: Case Studies.     

Reviews

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Rachael Green Clemens reviews Usage and Usability Assessment: Library Practices and Concerns, James T. Deffenbaugh reviews Metadata Fundamentals for All Librarians, and Marguerite E. Horn reviews The Accidental Systems Librarian. Serials Review 2003; 29:325–329.     

AACR2 and the New York State Library's CONSER Project

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Daisy P. Waters reviews Using Microsoft Access XP, Hazel Cameron reviews Business Statistics on the Web, Elizabeth Parang reviews JSTOR: A History, and Sheila Corman reviews MARC21 for Everyone.     

The Read Feed – Reviews

Trina Boykin Nolen reviews The Craft of Librarian Instruction: Using Acting Techniques to Create Your Teaching Presence; Elizabeth Parang reviews Encoding Space: Shaping Learning Environments That Unlock Human Potential.     

The Read Feed: Reviews

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Michelle DeMars reviews Academic Libraries for Commuter Students: Research-Based Strategies. Hayley Moreno reviews Coding with XML for Efficiencies in Cataloging and Metadata: Practical Applications of XSD, XSLT, and XQuery.     

The Quintessential Searcher: The Wit and Wisdom of Barbara Quint

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Teresa Malinowski reviews The 2003 Environmental Scan: Pattern Recognition: A Report to the OCLC Membership.     

Reviews

Trina Nolen reviews Rethinking Information Literacy; Elizabeth Parang, Fundamentals of Managing Reference Collections; Ann Roll reviews Building and Managing E-Book Collections; and Sarah Tusa reviews HR: A Human Resources Handbook for Academic Library Staff.     

Reviews

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Trina Boukin Nolen reviews Dancing with Digital Natives, Stephanie Rosenblatt reviews The Embedded Librarian and Sarah D. Tusa reviews Collection Development in the Digital Age.     

Creating the One-Shot Library Workshop: A Step-by-Step Guide

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Marguerite E. Horn reviews What They Don't Teach You in Library School, Betty Landesman reviews Introducing RDA, and Sarah D. Tusa reviews Coaching in the Library.     

A NOTE ON ESTIMATING LINEAR TREND IN A REGRESSION MODEL WITH SERIALLY CORRELATED ERROR COMPONENTS

ABSTRACT

We consider a linear trend regression model when the disturbances follow a serially correlated one-way error component model. In this model, we investigate the performance of the Ordinary Least Squares Esitmator (OLSE), First Difference Estimator (FDE), Generalized Least Squares Estimator (GLSE) and the Cochrane-Orcutt-Transformation Estimator (COTE) of slope coefficient in terms of efficiency. The main findings are as follows: (1) when the autocorrelation is close to unity, then the FDE is approximately the GLSE; (2) the OLSE is better than the COTE; and (3) when the value of the autocorrelation is kept constant and T → ∞, the OLSE, COTE and GLSE are asymptotically equivalent whereas the FDE is worse than the other estimators in terms of efficiency.     

Stepwise Regression in Mixed Quantitative Linear Models with Autocorrelated Errors

ABSTRACT

In the stepwise procedure of selection of a fixed or a random explanatory variable in a mixed quantitative linear model with errors following a Gaussian stationary autocorrelated process, we have studied the efficiency of five estimators relative to Generalized Least Squares (GLS): Ordinary Least Squares (OLS), Maximum Likelihood (ML), Restricted Maximum Likelihood (REML), First Differences (FD), and First-Difference Ratios (FDR). We have also studied the validity and power of seven derived testing procedures, to assess the significance of the slope of the candidate explanatory variable x ₂ to enter the model in which there is already one regressor x ₁. In addition to five testing procedures of the literature, we considered the FDR t-test with n ? 3 df and the modified t-test with n? ? 3 df for partial correlations, where n? is Dutilleul's effective sample size. Efficiency, validity, and power were analyzed by Monte Carlo simulations, as functions of the nature, fixed vs. random (purely random or autocorrelated), of x ₁ and x ₂, the sample size and the autocorrelation of random terms in the regression model. We report extensive results for the autocorrelation structure of first-order autoregressive [AR(1)] type, and discuss results we obtained for other autocorrelation structures, such as spherical semivariogram, first-order moving average [MA(1)] and ARMA(1,1), but we could not present because of space constraints. Overall, we found that:

1. the efficiency of slope estimators and the validity of testing procedures depend primarily on the nature of x ₂, but not on that of x ₁;

2. FDR is the most inefficient slope estimator, regardless of the nature of x ₁ and x ₂;

3. REML is the most efficient of the slope estimators compared relative to GLS, provided the specified autocorrelation structure is correct and the sample size is large enough to ensure the convergence of its optimization algorithm;

4. the FDR t-test, the modified t-test and the REML t-test are the most valid of the testing procedures compared, despite the inefficiency of the FDR and OLS slope estimators for the former two;

5. the FDR t-test, however, suffers from a lack of power that varies with the nature of x ₁ and x ₂; and

6. the modified t-test for partial correlations, which does not require the specification of an autocorrelation structure, can be recommended when x ₁ is fixed or random and x ₂ is random, whether purely random or autocorrelated. Our results are illustrated by the environmental data that motivated our work.