ARL-Design of S Charts with k-of-k Runs Rules

The standard S chart signals an out-of-control condition when one point exceeds a control limit. It can be augmented with runs rules to improve its performance in detecting assignable causes. A commonly used rule signals when k consecutive points exceed a control limit. This rule can be used alone or to supplement the standard chart. In this article we derive ARL expressions for charts with the k-of-k runs rule. We show how to design S charts with this runs rule, compare their ARL performance, and make a control chart recommendation when it is important to monitor for both increases and decreases in process dispersion.     

The Run Sum R Chart with Fast Initial Response

A fast initial response (FIR) feature for the run sum R chart is proposed and its ARL performance estimated by a Markov chain representation. It is shown that this chart is more sensitive than several R charts with runs rules proposed by different authors. We conclude that the run sum R chart is simple to use and a very effective tool for monitoring increases and decreases in process dispersion.     

KEEP foster-parent training intervention: model description and effectiveness

In this paper, we describe the development and history of the Keeping Foster Parents Trained and Supported (KEEP) foster-parent training intervention. KEEP intervention represents a modified version of the Multidimensional Treatment Foster Care intervention developed by interventionists at the Oregon Social Learning Center and is designed to provide training and support for children ages 5–11 in regular foster care. We also report on the initial findings from a programme of research focused on determining the effectiveness of the intervention. Thus far, the results indicate that the intervention is effective in reducing child behaviour problems and that the effects of the intervention are mediated through changes in parenting behaviour. There is also evidence that the KEEP foster-parent training intervention increases the chances of a positive change of placement (e.g. child reunited with biological parents) and mitigates the negative risk-enhancing effect of a history of multiple placements. We conclude with a discussion of unanswered questions and directions for future research.     

Barriers to girls' education in Mozambique at household and community levels: an exploratory study

Although education of children is universally accepted as a leading mechanism of poverty eradication and social development, many developing nations continue to struggle in achieving gender parity in primary and secondary education. While Mozambique has recently accelerated its efforts to reduce this gap, girls are still enrolled and attending school at a much lower rate than boys. The present study explored the barriers to children's – especially girls' – education in central Mozambique, based on information on 738 children in two separate communities. Household, child, environmental, and social/cultural factors are examined in the context of global and regional data. The study found girls to be impacted more negatively by every correlating factor, including the lingering practice, in rural areas, of early marriage. Policy and research implications are discussed.     

Evaluating the impact of conditional cash transfer programs on fertility: the case of the Red de Protección Social in Nicaragua

Evaluating the impact of poverty-reduction programs on fertility is complicated given that changes in incentives to have children take time to be incorporated into decision making and evaluation periods are usually quite brief. We explore the use of birth spacing as a short-run indicator of the impact of poverty-reduction programs on fertility. The data come from a Nicaraguan conditional cash transfer program that offers incentives for poor households to invest in children??s health, nutrition, and education. We estimate a stratified Cox proportional hazard model and find that the program decreased the hazard of a birth, indicating an increase in birth spacing.     

Getting Older and Getting Happier with Work: An Information-Processing Explanation

Job attitudes and subjective well-being (SWB) have important relationships with one another. Moreover, job attitudes and, to an extent, SWB are related to chronological age. Owing to a ??graying?? workforce in industrialized countries, uncovering how age influences job attitudes is increasingly important. The present work explores the effects of cognitive-aging research on the item response process during attitude measurement. Research finds that older individuals attend selectively to positive affective experiences and weigh affective experiences more heavily during judgment than younger individuals. Based on cognitive-aging research, we propose an item-response process and hypothesize that chronological age results in a specific form of measurement non-equivalence. Our hypothesis is tested on 2 different samples of university employees, across 3 different job attitudes rooted in emotional experiences. Results indicate age-related measurement non-equivalence across all 3 attitudes such that older employees report more positive job attitudes than younger employees even when controlling for the latent attitude construct. Our findings suggest caution in interpreting of age-satisfaction correlations, focusing greater attention on understanding item response processes of older versus younger individuals and increased attention to job-related emotional experience for older employees.     

Reports of Conferences,Institutes, and Seminars

Abstract

This column covers several conference sessions from the 14th annual Electronic Resources & Libraries Conference, providing guidance on how to navigate ebook duplication, improving documentation and workflows, implementing OpenAthens, and experiences with Project SILLVR (Streaming Interlibrary Loan Video Resources)and knowledge bases and related tools (KBART) automation. There is also a report from IFLA’s SIG Library Publishing Mid-Term meeting, which was an ideological meeting in nature, discussing community building, resource sharing, and status updates. A report from the 2018 Charleston Conference is also included.     

A practical comparison of blinded methods for sample size reviews in survival data clinical trials

This paper presents practical approaches to the problem of sample size re-estimation in the case of clinical trials with survival data when proportional hazards can be assumed. When data are readily available at the time of the review, on a full range of survival experiences across the recruited patients, it is shown that, as expected, performing a blinded re-estimation procedure is straightforward and can help to maintain the trial's pre-specified error rates. Two alternative methods for dealing with the situation where limited survival experiences are available at the time of the sample size review are then presented and compared. In this instance, extrapolation is required in order to undertake the sample size re-estimation. Worked examples, together with results from a simulation study are described. It is concluded that, as in the standard case, use of either extrapolation approach successfully protects the trial error rates.