Familism Values,Family Time,and Mexican‐Origin Young Adults' Depressive Symptoms

Using longitudinal data across eight years, this study examined how parents' familism values in early adolescence predicted youths' depressive symptoms in young adulthood via youths' familism values and family time. We examined these processes among 246 Mexican‐origin families using interview and phone‐diary data. Findings revealed that fathers' familism values predicted male and female youths' familism values in middle adolescence. For female youth only, fathers' familism values also predicted youths' family time in late adolescence. The link between family time and young adults' depressive symptoms depended on parental acceptance and adolescent gender: Among female and male youth, family time predicted fewer depressive symptoms, but only when paternal acceptance was high. For female adolescents only, family time predicted fewer depressive symptoms when maternal acceptance was high but more depressive symptoms when maternal acceptance was low. Findings highlight family dynamics as the mechanisms through which familism values have implications for youths' adjustment.     

Theory and Practice? A Comparative Analysis of Migration and Development Policies in Eleven European Countries and the European Commission

This article analyses international policy discussions on migration and development (M&D) and contrasts these with the actual M&D policies and practices of 11 European countries who were among the main proponents of this international discourse. Desk research of public documents and accompanying information sought from these 11 governments as well as in the European Commission (EC) provide the basis for a comparative analysis of their overall M&D policies and strategies, and institutional settings for formulating and implementing these. The comparison shows that M&D policy and practice remains in a tentative and experimental phase, and that countries experience difficulties reflecting their international positions in their own policies, as well as in learning from their own efforts and those of others. While stressing the developmental potential of migration in international discussions, most of the countries’ policies still reflect an understanding of migration as a problem and a preoccupation with short‐term domestic interests.     

Professional Self‐regulation in North America: The Cases of Law and Accounting

Professional and expert work holds the potential for misconduct that can harm clients or the public. According to the traditional model of professional self‐regulation, developed during the “golden age” of the professions in the mid‐20th century, societies grant professional communities freedom from external regulation in return for their commitment to regulate their members' conduct. Professions were said to cultivate distinctive ethical norms, socialize new practitioners, and engage in social control of deviant behavior. In light of dramatic changes in the professional world since that time, this essay reviews research on the legal and accounting professions in North America to assess the extent to which this traditional model still holds. The two professions continue to resemble the traditional model in some respects but diverge from it in others, and on some points, there is insufficient evidence to draw a conclusion. The traditional model of self‐regulation is probably best viewed as an ideal type that can serve as a standard of reference, not as an accurate representation of social reality. This conclusion opens up new topics for research and opportunities to inform policy.     

Accelerometry analysis of physical activity and sedentary behavior in older adults: a systematic review and data analysis

Accelerometers objectively monitor physical activity and sedentary patterns and are increasingly used in the research setting. It is important to maintain consistency in data analysis and reporting, therefore, we: (1) systematically identified studies using accelerometry (ActiGraph, Pensacola, FL, USA) to measure moderate-to-vigorous physical activity (MVPA) and sedentary time in older adults, and (2) based on the review findings, we used different cut-points obtained to analyze accelerometry data from a sample of community-dwelling older women. We identified 59 articles with cut-points ranging between 574 and 3,250 counts/min for MVPA and 50 and 500 counts/min for sedentary time. Using these cut-points and data from women (mean age, 70 years), the median MVPA minutes per day ranged between 4 and 80 min while percentage of sedentary time per day ranged between 62 % and 86 %. These data highlight (1) the importance of reporting detailed information on the analysis assumptions and (2) that results can differ greatly depending on analysis parameters.     

A UNIVERSITY EXAMINATION-SCHEDULING MODEL TO MINIMIZE MULTIPLE-EXAMINATION DAYS FOR STUDENTS

Scheduling university examinations is often done with the objective of spreading a student's required examinations over an examination week. That is the equivalent of the problem of minimizing the number of examinations a student must take on any one day. An approach to scheduling exams which relates the problem to the classical assignment problem is discussed. The model developed is a symmetry-constrained assignment model, and the solution method requires use of a branch-and-bound algorithm. Results from application of the algorithm to six semesters of actual data are presented.     

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.     

Applications and Implementation DECISION SUPPORT SYSTEMS: AN EMPIRICAL ASSESSMENT FOR DECISION MAKING

A laboratory experiment examined the effects of applying decision support system (DSS) technology to decision making in ill-structured problem environments under varying information conditions. Marketing executives participated in the experiment which investigated the effects of DSS availability, DSS training, and data availability on dependent variables that included: (1) the number of alternatives considered by a subject during decision making, (2) the period of time spent by a subject to complete the decision-making process, (3) the subject's perceived confidence in the decisions he or she had made, (4) the amount of data considered by a subject's during decision making, (5) the individual subject's decision processing, and (6) the subject's performance overall. Our results indicate that all three factors significantly affect the number of alternatives considered by subjects during the decision-making process. We therefore suggest that DSS training be coordinated with decision training in order to realize the potential of DSSs as described in the DSS literature.