Measurement and Replication: Evaluating the Consistency of Eight U. S. Fertility Surveys

This paper addresses the comparability of data from eight national fertility surveys conducted in the United States between 1955 and 1980. We examine the extent to which substantive conclusions about the levels and correlates of the timing offirst birth vary across these data sources by comparing samples of women who were eligible to be included in more than one study. Results obtained from Ordinary Least Squares (OLS) and logistic regression analyses of several measures of timing indicate few study effects. Thus findings based on data from one survey can be replicated with comparable data from another. One notable exception is the relationship between contraceptive use prior to the first birth and the timing of that birth. The contraceptive variable appears to be poorly measured, leading to unstable estimates of the relationship. In general, our results suggest: (1) the feasibility of pooling data from the various surveys when modeling delayed childbearing; and (2) reasonable accuracy in assessing trends in the timing of first birth from multiple data sources.     

Effects on pregnancy outcomes of changes in the North Carolina State Abortion Fund

Extending work of Cook et al. (1999, 1996), this paper examines abortion funding cutoffs for poor women in North Carolina, a unique setting allowing for a strong quasi-experimental design. Using vital registration data and additional administrative data from North Carolina, we decompose program effects on the abortion/birth ratio into two components: coverage (i.e., the proportion of all abortions that are state funded) and substitutability (the proportion of state funded abortions that would have been births in the absence of the state program). We show that both components are crucial for understanding the effects of fund cutoffs and that both components vary by age and by race. We offer explanations for these differences. Overall, we conclude that: the North Carolina State Abortion Fund (SAF) had powerful and pervasive effects: i.e., the SAF cutoffs reduced abortions and increased births.     

The Development of A County Level Index Of Well-Being

In an effort to assess the level of community need and inform responsive resource allocation, Larimer County, Colorado developed a county-level index of well-being. This paper describes the development of that index including the selection of indicators and the methodology for scoring and presenting those indicators. We also present how the local community used the information and describe problems we found while aggregating indicators. Next, we show the results of evaluating our index using Hagerty et al.’s (2001, Social Indicators Research 55, pp. 1–96) 14 criteria for determining validity and usefulness of quality of life indices. The Larimer County index performed above both the “satisfactory” rating and the mean of the 22 indices evaluated using Hagerty et al.’s. We conclude that the Larimer County index is based on a solid approach that will be helpful to local policy makers.     

Multiple‐Family Group Intervention for Incarcerated Male Adolescents Who Sexually Offend and Their Families: Change in Maladaptive Emotion Regulation Predicts Adaptive Change in Adolescent Behaviors

The multiple‐family group intervention is an effective, yet affordable, 8‐week treatment that is conducted in a juvenile correctional institution in Alabama with adolescents who sexually offend and their families. Data from 115 incarcerated male adolescents and their male and female caregivers collected at pre‐, post‐, and 1‐year follow‐up were used to determine that problem behaviors (internalizing, externalizing) decreased over pre‐ and posttest and the significant decreases in maladaptive emotion regulation predicted those changes. Adolescent‐reported anxiety over abandonment and attachment dependence on parents increased significantly; these changes were predicted by decreases in maladaptive emotion regulation. Linear growth models were also fit over the 3 time points and indicate decreases in adolescent problem behavior and maladaptive emotion regulation.     

Complexity Factors and Intuition-based Methods for Facility Network Design

Logistics managers frequently utilize decision support systems (DSS) to make facility network design decisions. Many DSS do not provide optimization capabilities, but instead rely on scenario evaluation as a means for developing solutions. We experimentally assessed the performances of decision makers, including experienced managers, who used four variants of a scenario evaluation-based DSS to solve realistically sized network design problems of varying complexities. Complexity factors included DSS attributes, problem size, network types, and demand dispersion patterns. Decision makers' performances were assessed relative to optimal solutions. Overall, the decision makers generated relatively high-quality solutions using the DSS variants. The type of design problem solved did not significantly impact problem-solving performance. However, performance degraded and variability in solution quality escalated as problem size was increased. The availability of incremental solution cost improvement cues in the DSS significantly improved solution quality and reduced performance variability. Iconic graphic enhancements to the DSS did not consistently affect performance. However, significant interactions existed among the effects of DSS graphics capabilities, DSS information cues, and problem attributes.     

Staff experience of a new approach to family safeguarding in Oxfordshire Children's Social Care Services

This paper presents the findings from a qualitative study that sought to understand the experiences of frontline staff working in Oxfordshire County Council (OCC) Children's Social Care Services and their views on a new family safeguarding model (Family Solutions Plus). Focus group interviews were conducted with 20 frontline staff and managers in different teams across OCC Children's Social Care Services using video conferencing software. Thematic analysis identified three overarching themes: Preparation for the implementation of Family Solutions Plus, staff views on the implemented model, and challenges to its implementation. Staff voiced strong support for the new model, which places a much greater emphasis than previous practice on supporting the whole family, developing parenting skills and keeping children safe with their families. The challenges associated with the transition to a new model were considerable in the short term, partly due to the COVID-19 pandemic, but there was optimism that the new model could be sustained and stabilized over time.     

The Influences of User Characteristics on Performance in a Logistics DSS Application

Decision Support Systems (DSS) are widely used in logistics decision applications, and a large number and variety of systems are commercially available. We investigate the contributions of user characteristics including experiences, data preferences, intuition, and effort to decision performance in a logistics DSS context. The study includes a laboratory experiment in which decision makers with varied experiences used a DSS to make facility network design decisions for problems of varying complexity. Two variants of the DSS are utilized in order to examine the interactions of a DSS decision aid with user characteristics. We find that intuition and effort are associated with decision-making performance. High analytic ability is not related to intuition, however. Education and previous experience are associated with performance. Yet these characteristics are also unrelated to intuition. Decision makers who highly value disaggregated data provided by the DSS tend to perform poorly. Also, the results suggest that the effects of users' experiences and preferences on performance are influenced by an analytical decision aid.