Workplace Policy and Environment,Family Role Quality,and Positive Family-to-Work Spillover

We used role theory to direct our analysis of the association between family-friendly policies, workplace environment, family role quality, and positive spillover from family to work. Taking data from 104 dual-earner couples with children living in Utah, we examined the influence of both partners’ access to family-friendly policies, both partners’ workplace environments, and the family role quality reported by the couple. We found that family role quality was significantly associated with positive family-to-work spillover for men and women. In addition, women’s own workplace culture and the ability of women’s partners to leave work to care for children were associated with women’s positive family-to-work spillover. These findings were viewed through the lens of gender theory and traditionally structured institutions and roles.     

A Clustering Algorithm for Computer-Assisted Process Organization

Amathematical programming clustering model that forms groups based on total group membership interactions is extended to include precedence relationships, group size limits, and group time limits. The extended clustering model is most appropriate for structured design of information systems as described by the computer-assisted process organization (CAPO), which requires certain ordering and may have limits on development and production capacity. An efficient algorithm for optimizing the CAPO criteria along with computational results is presented. The results show that the method is viable for the CAPO problems reported in the literature.     

Non-Gaussian Conditional Linear AR(1) Models

This paper gives a general formulation of a non-Gaussian conditional linear AR(1) model subsuming most of the non-Gaussian AR(1) models that have appeared in the literature. It derives some general results giving properties for the stationary process mean, variance and correlation structure, and conditions for stationarity. These results highlight similarities with and differences from the Gaussian AR(1) model, and unify many separate results appearing in the literature. Examples illustrate the wide range of properties that can appear under the conditional linear autoregressive assumption. These results are used in analysing three real datasets, illustrating general methods of estimation, model diagnostics and model selection. In particular, the theoretical results can be used to develop diagnostics for deciding if a time series can be modelled by some linear autoregressive model, and for selecting among several candidate models.     

AN EVALUATION OF ORDER RELEASE MECHANISMS IN A JOB-SHOP ENVIRONMENT

Controlling the flow of material on the shop floor involves releasing and dispatching jobs to meet customer due-date requirements while attempting to keep operating costs low. This report presents an evaluation of five releasing mechanisms and four dispatching rules under various levels of aggregate due-date tightness, shop cost structure, and machine utilization using simulation. The performance criteria of total shop cost, jobs on shop floor, deviation from due dates, and job queue time are collected to demonstrate the interactive nature of releasing and dispatching on shop performance.     

Statistical considerations in a delayed‐start design to demonstrate disease modification effect in neurodegenerative disorders

There has been a paradigm shift in diagnostic conceptualization of Alzheimer's disease (AD) based on the current evidence suggesting that structure and biology changes start to occur before clinical symptoms emerge. Consequently, therapeutic drug development is also shifting to treat early AD patients using biomarkers for enrichment in clinical trials. A similar paradigm shift is occurring for Parkinson disease. In the absence of acceptable biomarkers that could be combined with a clinical endpoint to demonstrate a disease modification (DM) effect in neurodegenerative disorders, a delayed‐start design can be applied to demonstrate a lasting effect on the disease course. The delayed‐start design includes two treatment periods, where in period 1, patients are randomized to receive an active treatment or placebo, and in period 2, placebo patients are switched to the active treatment while patients in the active treatment arm will continue the same treatment. The hypothesis is that patients who start the active treatment later will fail to catch up to the treatment benefit achieved by patients who receive the active treatment in both periods. A usual analytical approach has sought to demonstrate the divergence of slope during period 1 and the parallelism of slopes during period 2 as the DM effect. However, due to heterogeneity in timing and the magnitude of maximal effect among patients, nonlinear response over time could be observed within the two treatment arms in both periods. We propose an approach to evaluate the DM effect with the linearity assumption for treatment differences, but not for each arm separately.     

Changes in parenting behaviors, attachment, depressive symptoms, and suicidal ideation in attachment-based family therapy for depressive and suicidal adolescents

This study examined whether Attachment-Based Family Therapy (ABFT) was associated with decreases in maternal psychological control and increases in maternal psychological autonomy granting, and whether such changes were associated with changes in adolescents' attachment schema and psychological symptoms. Eighteen suicidal adolescents and their mothers received 12 weeks of ABFT. Maternal psychological control and autonomy granting behaviors were observationally coded at sessions 1 and 4. Adolescents' reports of perceived maternal care and control, attachment-related anxiety and avoidance, and depressive symptoms and suicidal ideation were collected at baseline, 6, 12 weeks (posttreatment), and 36 weeks. Results indicated that from session 1 to session 4, maternal psychological control decreased and maternal psychological autonomy granting increased. Increases in maternal autonomy granting were associated with increases in adolescents' perceived parental care from pre to mid-treatment and decreases in attachment-related anxiety and avoidance from pre to 3 months posttreatment. Finally, decreases in adolescents' perceived parental control during the treatment were associated with reductions in adolescents' depressive symptoms from pretreatment to 12 weeks posttreatment. This is the first study examining the putative change mechanisms in ABFT.     

An introduction to the Safe Schools/Healthy Students Initiative

The Safe Schools/Healthy Students (SS/HS) Initiative offers a unique opportunity to conduct large-scale, multisite, multilevel program evaluation in the context of a federal environment that places many requirements and constraints on how the grants are conducted and managed. Federal programs stress performance-based outcomes, valid and reliable data, addressing important problems, ensuring efficiency and fiscal responsibility, reducing burden on federal staff and grantees, and developing and disseminating useful solutions and recommendations. MANILA Consulting Group, Inc., (MANILA), in partnership with Battelle Centers for Public Health Research and Evaluation (Battelle) and RMC Research Corporation (RMC), has been conducting the SS/HS national cross-site evaluation, which involves the coordinated efforts of federal Project Officers, local education agencies, technical assistance providers, communication specialists, and national and local evaluators across a diverse set of socioeconomic and cultural contexts. To date, the national cross-site evaluation has provided data indicating that the SS/HS Initiative is, in fact, meeting these goals. Findings revealed that fewer students reported they had experienced violence and fewer students reported they had witnessed violence. Fully 96 percent of school staff said SS/HS had improved school safety. There was a 263 percent increase in the number of students who received school-based mental health services and a 519 percent increase in those receiving community-based mental health services. In addition, more than 80 percent of school staff reported that they saw reductions in alcohol and other drug use among their students. These encouraging results stress the need for ongoing coordination at all levels of the Initiative to continue to ensure safer schools and healthier students. This article provides an overview of the initiative and introduces four articles in this special issue.     

Evaluation of a complex, multisite, multilevel grants initiative

The Safe Schools/Healthy Students (SS/HS) national evaluation seeks to assess both the implementation process and the results of the SS/HS initiative, exploring factors that have contributed to or detracted from grantee success. Each site is required to forge partnerships with representatives from education, mental health, juvenile justice, and law enforcement, coordinating and integrating their efforts and working together to contribute to comparable outcomes (e.g., reduced violence and alcohol and drug use, improved mental health services). The evaluation uses multiple data collection techniques (archival data, surveys, site visits, interviews, and focus groups) from a variety of sources (project directors, community partners, schools, and students) over several years. Certain characteristics of the SS/HS initiative represent unique challenges for the evaluation, including the absence of common metrics for baseline, outcome data, and lack of comparison group. A unifying program theory was required to address these challenges and synthesize the large amounts of qualitative and quantitative information collected. This article stresses the role of program theory in guiding the evaluation.