Inference in a Binary Response Model with Applications to Data Analysis*

Standard errors of the coefficients of a logistic regression (a binary response model) based on the asymptotic formula are compared to those obtained from the bootstrap through Monte Carlo simulations. The computer intensive bootstrap method, a nonparametric alternative to the asymptotic estimate, overestimates the true value of the standard errors while the asymptotic formula underestimates it. However, for small samples the bootstrap estimates are substantially closer to the true value than their counterpart derived from the asymptotic formula. The methodology is discussed using two illustrative data sets. The first example deals with a logistic model explaining the log-odds of passing the ERA amendment by the 1982 deadline as a function of percent of women legislators and the percent vote for Reagan. In the second example, the probability that an ingot is ready to roll is modelled using heating time and soaking time as explanatory variables. The results agree with those obtained from the simulations. The value of the study to better decision making through accurate statistical inference is discussed.     

Data Driven Modeling: An Application in Scheduling

This paper presents a data driven modeling (DDM) approach to certain types of optimization problems. DDM relinquishes control of the completed model to the user department rather than the operations research (OR) staff. The approach emphasizes development of models that are dependent on data maintained and understood by the users. The data base consists of coded user rules which describe when changes will occur in the problem structure and data which captures the generalization of the problem. Both the rules and data can be updated by user department personnel. These data drive a matrix generator controlled by the rules which uses the data base as input to generate the specific model formulation. This DDM system is designed by OR consultants or staff to allow independence of use along with low-cost and minimal-effort maintenance. The DDM approach is illustrated with an application to a real-world medical scheduling problem.     

Seeking Clarity and Confidence in the Divorce Decision-Making Process

There is a well-established literature dedicated to why couples divorce, transitions associated with divorce, and the impact of divorce on families. However, little is known about the divorce decision-making process. We conducted in-depth interviews with individuals who have recently considered divorce (n = 30) and asked specifically about the roles of 2 concepts in their decision-making process: clarity and confidence. Three major themes emerged from the data: (a) Clarity about a decision to divorce or stay married is desired, it fluctuates, and takes time to find; (b) pivotal moments can bring clarity; and (c) confidence (in the final decision) is desired. Clinical implications and directions for future research are discussed.     

Jackpot? Gender Differences in the Effects of Lottery Wins on Separation

In this study, information on small to modest lottery wins from the British Household Panel Survey (N = 2,563) was used to investigate the effect of income on separation. The analysis demonstrated that money matters within relationships. Lottery wins temporarily reduced the odds of separation after men won. Men spent more on leisure and became more satisfied with their leisure time and social lives after winning. Nevertheless, most of the effect of lottery wins on union stability was not mediated by changes in satisfaction; instead, a direct effect of wins on the threshold to leave relationships was observed. No effect on union stability was found when women won. Women did not spend their winnings on leisure time but instead saved or spent money on durable items. These types of spending did not increase satisfaction. The findings suggested that, within families, men acted relatively independently, whereas the behavior of women was more family oriented.     

Constructing a strategy map for banking institutions with key performance indicators of the balanced scorecard

This study presents a structural evaluation methodology to link key performance indicators (KPIs) into a strategy map of the balanced scorecard (BSC) for banking institutions. Corresponding with the four BSC perspectives (finance, customer, internal business process, and learning and growth), the most important evaluation indicators of banking performance are synthesized from the relevant literature and screened by a committee of experts. The Decision Making Trial and Evaluation Laboratory (DEMATEL) method, a multiple criteria analysis tool, is then employed to determine the causal relationships between the KPIs, to identify the critical central and influential factors, and to establish a visualized strategy map with logical links to improve banking performance. An empirical application is provided as an example. According to the expert evaluations, the three most essential KPIs for banking performance are customer satisfaction, sales performance, and customer retention rate. The DEMATEL results demonstrate a clear road map to assist management in prioritizing the performance indicators and in focusing attention on the strategy-related activities of the crucial indicators. According to the constructed strategy map, management could better invest limited resources in the areas that need improvement most. Although these strategy maps of the BSC are not universal, the research results show that the presented approach is an objective and feasible way to construct strategy maps more justifiably. The proposed framework can be applicable to institutions in other industries as well.     

Using agency data for evidence-based programming: a university-agency collaboration

Agencies providing residential treatment are encouraged, or even mandated, to collect outcomes data and to implement evidence based practices, yet little guidance has been provided on how to do so using agency administrative data that are collected on an ongoing basis. We examined data on Child and Adolescent Functional Assessment Scale (CAFAS) scores for 1608 admissions to a residential treatment center from 2002 through 2008. CAFAS scores were measured every 90 days, providing multiple CAFAS scores for each individual. Results demonstrated that on average residents improved in functioning over time. Sensitive to the evolving needs of residents who had been entering the program, the treatment center made significant program changes in 2006 to attempt to better serve residents through a broad array of specialized programming. Compared to the overall results, the analysis suggested that residents who entered the program since October 2006 appeared to have made larger improvements in their CAFAS scores. Results were derived by employing multilevel models appropriate for estimating growth trajectories with repeated measures data. Conversations with agency staff suggested that using administrative data, and advanced statistical models, were extremely helpful for organizational decision making and evidence-based programming.     

Children and Families’ Involvement in Social Work Decision Making

This review summarises the research literature on children’s and parents’ involvement in social work decision making, which is regarded, in policy terms, as increasingly important. In practice, however, it tends to be messy, difficult and compromised. Different individuals or groups may have different understandings of participation and related concepts, while differences of age and disability also mediate effective user engagement. The literature highlights common themes in effective participatory practice with both children and their parents. Central to this are the establishment of relationships of trust and respect, clear communication and information and appropriate support to participate.     

浅析当代大学生如何做好课堂笔记

课堂教学是学生获取知识和技能的主战场,学生做好课堂笔记对学习非常有益。要学生做好课堂笔记,师生必须共同努力,教师应备好课,讲好课,写好板书,做好PPT;学生应做好充分的准备,掌握记课堂笔记的技巧,用笔记搞好复习,巩固知识加强记忆。     

Occupational Engagement and Academic Major Satisfaction: Vocational Identity's Mediating Role

This study examined vocational identity as a mediator of the relationship between occupational engagement (i.e., participation in a breadth of activities and interactions) and academic major satisfaction. Furthermore, the authors evaluated whether satisfaction with academic major related to academic success (i.e., grade point average). The mediational model was tested in a sample of undergraduate students (N = 215). Results indicated that occupational engagement significantly predicted academic major satisfaction and that vocational identity fully mediated that relationship. These findings support occupational engagement as an important contributor to adaptive career decision making and encourage research on occupational engagement as an intervention point for career counselors.     

A KNOWLEDGE-BASED DSS FOR MANAGERIAL PROBLEM DIAGNOSIS

A knowledge-based system supporting managerial problem diagnosis is described. The system provides the capability to monitor values of selected variables for problem situations. When problems are located, a list of problem symptoms is delivered to a problem processor for structuring and diagnosis. Problem structuring is based on a combination of concepts from expert systems and structural modeling. User assertions about cause-effect relationships between pairs of variables are maintained in a semantic network. Problem diagnosis uses the relationships in the semantic network to construct causation trees, the branches of which represent potential explanations of the problem symptoms. Mathematical models are constructed based on causation-tree branches, and values from the data base are used to test whether the model confirms the diagnosis. If so, the source of the problem has been located and it is then up to the user to resolve the problem. If the model fails to explain the problem, the model apparently is deficient and the user may perform “what if…” type scenarios in attempts to improve the model and search for problem causes. Realistic applications in the accounting and health care areas are discussed.