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Librarians have been involved in collecting and disseminating statistics for many years. Utilizing statistics to describe and assess the operation of library activities as a part of library tradition has received growing attention from researchers, policymakers, library managers, and professionals. However, few studies have investigated how statistics are used in libraries. This report compares directors’ uses of statistics provided by national agencies in the USA and China to highlight differences and similarities of the uses the two countries’ directors make of statistics and the statistical information that directors find particular useful. The results are intended to provide library administrators with an insight of how library statistics are used in the managerial process and may also help the national statistical providers to obtain an understanding of the characteristics and pattern of use of their products.

Purpose. Describes the work of the e‐measures project, which aims to produce a set of statistics for measuring electronic information services in UK higher education libraries, to be used nationally as part of the Annual Library Statistics produced by the Society of College, National and University Libraries (SCONUL) and locally for library decision making and user support. Design/methodology/approach. A group of 25 higher education libraries are piloting a range of 21 e‐measures covering holdings, usage and costs of electronic services. Data collected over a four‐month period in phase 1 are currently being analysed and a review of issues raised will inform case studies planned for phase 2. Findings. Issues raised by phase 1 of the project are presented here. Reports from pilot libraries illustrate both the importance of the work being undertaken and its complexity. Research limitations/implications. The project has highlighted the issues involved in the collection of data for measuring use of electronic information services and drawn attention to the difficulties in getting reliable, consistent data. Practical implications. After testing by the pilot libraries, selected e‐measures will be incorporated into the SCONUL Annual Library Statistics, to be collected on a regular basis by all SCONUL libraries. Libraries will also have a greater understanding of their use of electronic resources through the guidance and support provided by the project. Originality/value. This paper, in describing the results of phase 1 of the e‐measures project, increases awareness of the project and the understanding of the issues involved in collecting data for e‐measures.

A number of approaches and algorithms have been proposed over the years as a basis for automatic indexing. Many of these approaches suffer from precision inefficiency at low recall. The choice of indexing units has a great impact on search system effectiveness. The authors dive beyond simple terms indexing to propose a framework for multi-word terms (MWT) filtering and indexing.

In this paper, the authors rely on ranking MWT to filter them, keeping the most effective ones for the indexing process. The proposed model is based on filtering MWT according to their ability to capture the document topic and distinguish between different documents from the same collection. The authors rely on the hypothesis that the best MWT are those that achieve the greatest association degree. The experiments are carried out with English and French languages data sets.

The results indicate that this approach achieved precision enhancements at low recall, and it performed better than more advanced models based on terms dependencies.

Using and testing different association measures to select MWT that best describe the documents to enhance the precision in the first retrieved documents.

This paper sets out to consider the importance of statistical measures for any study of the impact of electronic services and to describe how relevant statistics can be collected and analysed.

It is based on the results of two complementary research projects at evidence base, the first, the e‐measures project, working with UK higher education libraries on establishing a set of national and local measures for electronic services, and the second, a study and analysis of usage statistics for four publisher deals within the NESLi2 initiative.

The e‐measures project has demonstrated some of the issues involved in the collection of reliable usage statistics, while the NESLi2 study has developed a framework for analysis which can be applied more widely. The successful introduction of COUNTER compliance has created a more reliable statistical basis for this analysis.

The NESLi2 study covered only a limited time period (January 2003‐June 2004) and its findings remain confidential. The study is now being extended to cover the whole of 2004 and it is hoped that agreement will then be obtained to publish some of the major findings.

The NESLi2 report contains a number of recommendations that are designed to help higher education libraries with the management and analysis of statistical measures. These, and other initiatives, are discussed.

The paper is of interest particularly to higher education libraries that wish to gain a more accurate picture of their use of electronic services. The methods of analysis described will also be relevant to other types of library.

It is reasonable to assume the existence of a new “dynamic” that influences how to measure reference services in libraries and how we evaluate the reference librarians who provide those services. Traditional, face-to-face delivery of reference services is reported to be declining, and there is myriad evidence, albeit largely uncollated and little evaluated, which suggests reference librarians are delivering significant and increasing amounts of the services they render in network environments. These trends raise questions, in turn, about how well we understand the current state of affairs in reference services, particularly where the management and evaluation of reference services in network environments are concerned.

The purpose of this study is to investigate relevant circumstances and conditions bearing – directly and indirectly – on changes in the nature, form, substance, and effects of reference services – through the reference librarian experience. Specifically, this attitudinal study will account for and assess changes in reference services (in the context of a medium-sized private university with a national reputation for successfully integrating information technologies into the educational process), with the further aim of developing an understanding of how to capture statistics and evaluate reference services and personnel in this dynamic environment. Reference librarians at a second mid-sized public university library were also interviewed for comparative data analysis in this study. Select portions of this paper have appeared in other publications in shorter, focused, introductory articles.

Begins an introduction to statistics for the food scientist. Aimed at the non‐mathematician, discusses the application of the statistical approach and introduces statistical measures for data presentation and summary.

The purpose of this paper is to investigate the relationship between two major constructs (supply chain management practices (SCMP) and supply chain performance measures), which determines the efficiency and efficacy of retail-supply chain management, using a rigorous empirical method to validate the instrument scale for measuring the validity and reliability of the identified constructs. Additionally, the paper further tests the relationship between SCMP and supply chain performance measures using structural equation modeling (SEM).

Data were compiled and collected from 213 operations and supply chain (SC) heads from leading retail stores in India. Confirmatory factor analysis was used to test the validity of the proposed measurement scale and the relationship is tested using SEM.

The results of the research will help the decision makers in the SC/procurement field to understand the importance of the association between SCMP and supply chain performance measures. Statistical tests show that the implementation of SCMP are associated with supply chain performance measures, which leads to overall improvements; moreover, there is a statistically significant association between the five SCMP and eight SCPM.

This research is also needed to provide more understanding about the SCMP along with the supply chain performance measures and the positive association among them. Overall, this research provides an additional insight into the growing field of the relationships between SCMP and SCPM. Clearly, the field has ample space to grow in terms of research and practice.

This research paper contributes to the literature on supply chain performance measurement.

It is argued that the powerful techniques of OR operate on only a small fraction of the statistical information that the social sciences usually provide. This argument is illustrated by Leimkuhler's recent claim to have found an ‘exact’ fit to the Bradford law. An elementary theorem of Shannon information theory shows that his new function is applied to only 2·3% of the statistical information inherent in the bibliography he chooses and that Bradford's original simple formulation not only fits this segment but also the whole bibliography more closely than the new formulation. As every loss of statistical information can be measured, it can be shown that sophisticated mathematical techniques cannot compensate for the information they squander.

Epidemiology is often described as “the basic science of public health” (Savitz, Poole & Miller, 1999; Syme & Yen, 2000). This description suggests both a close association with public health practice, and the separation of “pure” scientific knowledge from its application in the messy social world. Although the attainability of absolute objectivity is rarely claimed, epidemiologists are routinely encouraged to “persist in their efforts to substitute evidence for faith in scientific reasoning” (Stolley, 1985, p. 38) and reminded that “public health decision makers gain little from impassioned scholars who go beyond advancing and explaining the science to promoting a specific public health agenda” (Savitz et al., 1999, p. 1160). Epidemiology produces authoritative data that are transformed into evidence which informs public health. Those data are authoritative because epidemiology is regarded as a neutral scientific enterprise. Because its claims are grounded in science, epidemiological knowledge is deemed to have “a special technical status and hence is not contestable in the same way as are say, religion or ethics” (Lock, 1988, p. 6). Despite the veneer of universality afforded by its scientific pedigree, epidemiology is not a static or monolithic discipline. Epidemiological truth claims are embodied in several shifting paradigms that span the life of the discipline. Public health knowledges and practices, competing claims internal and external to epidemiology, and structural conditions (such as current political economies, material technologies, and institutions) provide important contexts in which certain kinds of epidemiological knowledge are more likely to emerge.

The purpose of this paper is to explore the mechanisms underlying hiring discrimination against transgender men.

The authors conduct a scenario experiment with final-year business students in which fictitious hiring decisions are made about transgender or cisgender male job candidates. More importantly, these candidates are scored on statements related to theoretical reasons for hiring discrimination given in the literature. The resulting data are analysed using a bivariate analysis. Additionally, a multiple mediation model is run.

Suggestive evidence is found for co-worker and customer taste-based discrimination, but not for employer taste-based discrimination. In addition, results show that transgender men are perceived as being in worse health, being more autonomous and assertive, and have a lower probability to go on parental leave, compared with cisgender men, revealing evidence for (positive and negative) statistical discrimination.

Targeted policy measures are needed given the substantial labour market discrimination against transgender individuals measured in former studies. However, to combat this discrimination effectively, one needs to understand its underlying mechanisms. This study provides the first comprehensive exploration of these mechanisms.

This study innovates in being one of the first to explore the relative empirical importance of dominant (theoretical) explanations for hiring discrimination against transgender men. Thereby, the authors take the logical next step in the literature on labour market discrimination against transgender individuals.