A Sparse Implementation of the Average Information Algorithm for Factor Analytic and Reduced Rank Variance Models

Factor analytic variance models have been widely considered for the analysis of multivariate data particularly in the psychometrics area. Recently Smith, Cullis & Thompson (2001) have considered their use in the analysis of multi‐environment data arising from plant improvement programs. For these data, the size of the problem and the complexity of the variance models chosen to account for spatial heterogeneity within trials implies that standard algorithms for fitting factor analytic models can be computationally expensive. This paper presents a sparse implementation of the average information algorithm (Gilmour, Thompson & Cullis, 1995) for fitting factor analytic and reduced rank variance models.     

A re-evaluation of random-effects meta-analysis

Summary.  Meta-analysis in the presence of unexplained heterogeneity is frequently undertaken by using a random-effects model, in which the effects underlying different studies are assumed to be drawn from a normal distribution. Here we discuss the justification and interpretation of such models, by addressing in turn the aims of estimation, prediction and hypothesis testing. A particular issue that we consider is the distinction between inference on the mean of the random-effects distribution and inference on the whole distribution. We suggest that random-effects meta-analyses as currently conducted often fail to provide the key results, and we investigate the extent to which distribution-free, classical and Bayesian approaches can provide satisfactory methods. We conclude that the Bayesian approach has the advantage of naturally allowing for full uncertainty, especially for prediction. However, it is not without problems, including computational intensity and sensitivity to a priori judgements. We propose a simple prediction interval for classical meta-analysis and offer extensions to standard practice of Bayesian meta-analysis, making use of an example of studies of 'set shifting' ability in people with eating disorders.     

Likelihood Ratio Tests for Fixed Model Terms using Residual Maximum Likelihood

Likelihood ratio tests for fixed model terms are proposed for the analysis of linear mixed models when using residual maximum likelihood estimation. Bartlett-type adjustments, using an approximate decomposition of the data, are developed for the test statistics. A simulation study is used to compare properties of the test statistics proposed, with or without adjustment, with a Wald test. A proposed test statistic constructed by dropping fixed terms from the full fixed model is shown to give a better approximation to the asymptotic χ²-distribution than the Wald test for small data sets. Bartlett adjustment is shown to improve the χ²-approximation for the proposed tests substantially.     

Seeing the Forest for Trees: Tools for Analyzing Faculty Research Output

Abstract

For academic libraries, because budgetary pressures are nearly universal, it is imperative to evaluate journal packages regularly. This article presents an overview of the data and methods that the NC State University Libraries traditionally uses to evaluate journal packages and presents additional methods to expand our evaluation of publishing and editorial activity. We describe methods for downloading and analyzing Web of Science citation data to identify the most common publishers for NC State affiliated authors as well as the journals in which NC State authors publish most frequently. This article also demonstrates a custom Python web scraping application to harvest NC State affiliated editor data from publishers’ websites. Finally, this article discusses how these data elements are combined to provide a more comprehensive evaluative strategy for our journal investments.     

Sexual Abuse by Design: an examination of the issues in learning disability services

This paper is based upon ideas developed by the authors during their past 6 years work on issues of sexuality and sexual abuse in a wide variety of learning disability settings in Britain. The paper argues that some features of service design in themselves make sexual abuse more likely to occur. It suggests ways of reducing risk, which should work alongside the more usually suggested educative approaches to individuals and groups of vulnerable people.     

The NFC buy-out—A new form of industrial enterprise

When the Conservative Government's plans for floating the National Freight Company, Britain's biggest road freight business, on the Stock Exchange were delayed by economic factors, senior management in the business put together a scheme to buy NFC. In what became Britain's largest employee buy-out, with over 10,000 employees and pensioners putting up £6·187m of the purchase price, a new form of industrial enterprise was created. In this article Sir Peter Thompson, leader of the buy-out team and now Chairman of the National Freight Consortium plc, describes the background to the buy-out, the complex financial, legal and communications activities involved, and the way in which employee-involvement has become an integral part of the operation of what has proved to be a commercially successful business providing exceptional returns on investment.     

The advantages and disadvantages of different social welfare strategies

This paper presents a framework for consideration of change in or reform of social welfare systems. The author describes characteristics of the approaches to providing social welfare most commonly used in North America and western Europe. These include social insurance, employer mandates, individual mandates, voluntary arrangements (tax expenditures), means-tested programmes, and universal programmes (demogrants). He then evaluates each of the approaches in terms of its ability to achieve a set of social and economic objectives. The social protection objectives include treating people with dignity and respect, assuring complete coverage, equitably distributing costs and benefits, and operating efficiently to lower overhead. The objectives important to promoting a healthy economic environment include encouraging individual saving and work effort, fostering government fiscal responsibility, and facilitating smooth market functioning. The author concludes that there is no one correct way to organize social welfare systems, that each approach has strengths and weaknesses, and that different societies will attach different priorities to different objectives. Thus, as social goals change, we may expect that the particular mix of approaches used will also evolve and change over time.