Behavioural Social Work with Schizophrenic Patients in the Community

Summary A preliminary project on the application of behaviour modificationprocedures in the home setting is reported together with commentson the social needs of schizophrenic patients and their families.The article includes suggestions about social work with thisclient group based on the project experience.     

Family composition preferences in a developing culture: The case of Taiwan, 1973

Abstract As fertility comes increasingly under voluntary control in a developing society, it can be argued that individual desires or preferences about children will become more salient and more significant for eventual fertility. Hence, the study of preferences is increasingly important as contraceptive use is extended and results in decreasing the number of unwanted births.(1) Further changes in fertility then depend on changes in preferences. The assumption is that people will at least try to achieve the families they want, if the means to do so are available. The fact that contraception is used at all is some evidence of the soundness of this assumption, although it should be recognized that family size desires operate in a complex of preferences, under varying degrees of conflict and control. To expect a one-to-one relationship between attitudes or preferences and overt behaviour would be simplistic.     

Fast and Accurate Inference for the Smoothing Parameter in Semiparametric Models

A fast and accurate method of confidence interval construction for the smoothing parameter in penalised spline and partially linear models is proposed. The method is akin to a parametric percentile bootstrap where Monte Carlo simulation is replaced by saddlepoint approximation, and can therefore be viewed as an approximate bootstrap. It is applicable in a quite general setting, requiring only that the underlying estimator be the root of an estimating equation that is a quadratic form in normal random variables. This is the case under a variety of optimality criteria such as those commonly denoted by maximum likelihood (ML), restricted ML (REML), generalized cross validation (GCV) and Akaike's information criteria (AIC). Simulation studies reveal that under the ML and REML criteria, the method delivers a near‐exact performance with computational speeds that are an order of magnitude faster than existing exact methods, and two orders of magnitude faster than a classical bootstrap. Perhaps most importantly, the proposed method also offers a computationally feasible alternative when no known exact or asymptotic methods exist, e.g. GCV and AIC. An application is illustrated by applying the methodology to well‐known fossil data. Giving a range of plausible smoothed values in this instance can help answer questions about the statistical significance of apparent features in the data.     

The Savvy Caregiver Program: Impact of an Evidence-Based Intervention on the Well-Being of Ethnically Diverse Caregivers

This article reports on the impact of the Savvy Caregiver Program (SCP) on English-speaking caregivers of Hispanic, Black/African American, and Asian/Pacific Islander descent. Caregivers completed a questionnaire prior to study enrollment, at 6 and 12 months postenrollment. Caregivers in all 3 ethnic groups showed more caregiver competence, reduced depression, greater tolerance for care recipients’ memory problems, better management of their overall situation, and improved perception of that situation 6 months and 12 months post-enrollment. The study demonstrates that in the sample studied the SCP was as effective in helping ethnically diverse caregivers as it has shown to be with Caucasian caregivers.     

Factor analysis for ranked data with application to a job selection attitude survey

Summary.  Factor analysis is a powerful tool to identify the common characteristics among a set of variables that are measured on a continuous scale. In the context of factor analysis for non-continuous-type data, most applications are restricted to item response data only. We extend the factor model to accommodate ranked data. The Monte Carlo expectation–maximization algorithm is used for parameter estimation at which the E-step is implemented via the Gibbs sampler. An analysis based on both complete and incomplete ranked data (e.g. rank the top q out of k items) is considered. Estimation of the factor scores is also discussed. The method proposed is applied to analyse a set of incomplete ranked data that were obtained from a survey that was carried out in GuangZhou, a major city in mainland China, to investigate the factors affecting people's attitude towards choosing jobs.     

A study of expediting practices in manufacturing firms

Abstract

This paper presents the results of an empirical investigation of one of the most common yet least optimized production management practices—expediting. The intention of this study was to generate quantitative insight into issues that underlie expediting decision making, such as the relative frequency of various causes of expediting, commonly used expediting strategies and tactics, and the interaction of expediting and the production scheduling environment in use. The study centered around a survey sent to 1768 manufacturing staff personnel, with 182 usable questionnaires returned. It is hoped that the data and conclusions presented in this paper will be of use to production management researchers who are interested in expediting as a managerial decision.     

Dimensions and design criteria for developing training reaction evaluations

Although there is research on training program evaluation, there is little systematic research on the design, development and use of training reaction evaluations. In order to obtain meaningful information from a program evaluation, evaluation professionals must be rigorous in the design and development of all aspects of an evaluation study, including instrumentation. The purposes of the study were to classify the dimensions of information sought using reaction evaluations and to establish design criteria for developing training reaction instruments. There were three major phases of the study: (1) classification of the dimensions and questionnaire design criteria used in reaction evaluations; (2) validation of the classified dimensions and the questionnaire design criteria by subject matter experts; and (3) assessment of a sample of training reaction instruments currently used in training programs in US corporations. The research findings were: eleven dimensions for reaction evaluation were identified and classified by purpose. Five overall design criteria, each consisting of several sub-criteria, were judged important in the design of reactionnaires. These include: introduction and directions; question format; question construction; questionnaire layout; and data analysis. It was concluded that a well-designed training reaction instrument integrates the proper application of design criteria with appropriate reaction dimensions. Most training reaction instruments used by US corporations consisted of questions representing only a few dimensions. The instruments varied in form and length. Few of them properly utilized the established questionnaire design criteria.     

Does IO Economics Really Make the Case for Investments in IT: A Rejoinder

The preceding critique [1] of the paper “The Information Problems in Organizations: A Research Model for the Value of Information and Information Systems” [3], reaches general conclusions with respect to the original paper and the applicability of economics to MIS research. These conclusions are based on arguments developed at a different level of analysis than that used in the original paper, and without considering the goals and intent of the original paper. The differences between the critique and the original paper are highlighted.     

A NOTE ON A SEQUENTIAL GROUP t-TEST

A sequential probability ratio test (SPET) of the mean of a normal distribution with unknown variance, based on an independent sequence of groups of observations, is investigated and its efficiency compared with that of the WAGE sequential t-test, which is based on an invariantly sufficient sequence of test statistics.