The Third Way Reconfigured: How and Why Nonprofit Organizations are Shifting Their Human Resource Management

Nonprofit organizations (NPOs) are facing increasing demands to become more efficient and effective, especially given increasing financial cutbacks, the rising demand for services and the push toward performance-related management. Human resource management (HRM) is claimed to play an important role in coping with these challenges. Yet, within the field of nonprofit management, little is known about the configuration of HR architectures in NPOs, let alone their impact on performance. To bridge this gap, we conduct an exploratory multiple case study in ten health and social services NPOs. The case study data indicates a shift toward a dominant strategic orientation in the configuration of HRM. Our article makes a central contribution by uncovering a third way in which NPOs seek a specific configuration of HRM to confront the challenges they face in their internal and external environments.     

Supporting the scholar role in intensive care nursing

This study investigates how future informatics applications can support and challenge intensive care nurses (ICU nurses) to grow and learn continuously. To this end a research-and-design tool is introduced which is based on a model of the nursing process that starts from the idea that a nurse fulfills three different roles: the role of practitioner (using information immediately to base actions upon), the role of scholar (using information later on to learn from) and the role of human (coping with stress and dealing with emotions). In this paper the focus is on the scholar role. Twenty-eight intensive care staff members from six different hospitals were asked to recount an imposing experience from the perspective of each role. Regarding the scholar role, the participants mentioned 77 learning strategies they adopt for individual as well as organizational learning. Individual learning concerned reflection on former patient cases, reflection on current patient cases to anticipate a change in the patient's condition and reflection on personal behavior and decisions. Organizational learning concerned reflection on former patient cases. Examples of specific strategies were formal team evaluations focused on procedure and understanding the perspective of team members, being present at autopsies, and giving feedback on the nursing skills of colleagues. Based on these strategies design implications are defined for future nursing informatics applications, which will be presented.     

Estimating stellar-oscillation-related parameters and their uncertainties with the moment method

Summary.  The moment method is a well-known astronomical mode identification technique in asteroseismology which uses a time series of the first three moments of a spectral line to estimate the discrete oscillation mode parameters l and m . The method, in contrast with many other mode identification techniques, also provides estimates of other important continuous parameters such as the inclination angle α and the rotational velocity v _e. We developed a statistical formalism for the moment method based on so-called generalized estimating equations. This formalism allows an estimation of the uncertainty of the continuous parameters, taking into account that the different moments of a line profile are correlated and that the uncertainty of the observed moments also depends on the model parameters. Furthermore, we set up a procedure to take into account the mode uncertainty, i.e. the fact that often several modes ( l ,  m ) can adequately describe the data. We also introduce a new lack-of-fit function which works at least as well as a previous discriminant function, and which in addition allows us to identify the sign of the azimuthal order m . We applied our method to star HD181558 by using several numerical methods, from which we learned that numerically solving the estimating equations is an intensive task. We report on the numerical results, from which we gain insight in the statistical uncertainties of the physical parameters that are involved in the moment method.     

Partner Violence and Mental Health Outcomes in a New Zealand Birth Cohort

This study examines the prevalence and extent of domestic violence and the consequences of domestic violence for mental health outcomes in a birth cohort of New Zealand young adults studied at age 25 years. A total of 828 young people (437 women and 391 men) were interviewed about the domestic violence victimization and violence perpetration in their current or most recent partner relationship. Key findings of the study were (a) domestic conflict was present in 70% of relationships, with this conflict ranging from minor psychological abuse to severe assault; (b) men and women reported similar experiences of victimization and perpetration of domestic violence; and (c) exposure to domestic violence was significantly related to increased risks of major depression (p < .05) and suicidal ideation (p < .005) even after extensive control for covariates.     

“Positive Feelings”: Group Support for Children of HIV-Infected Mothers

This paper describes a support group for children, ages 9–13, whose mothers are living with the Human Immunodeficiency Virus (HIV). Beginning with identification of the need for, and purpose of the group, the paper describes the group recruitment, screening and intake process; group composition; group content and process; barriers to service and issues specific to facilitation of the group. The group provided support to children by increasing knowledge of HIV and Acquired Immunodeficiency Syndrome (AIDS) issues, providing a forum for expression of feelings and concerns regarding their parent's HIV status, improving communication skills, identifying and expanding coping strategies, and facilitating peer support for normalization and validation of fears and concerns.     

The Singularity of the Information Matrix of the Mixed Proportional Hazard Model

This paper presents new identification conditions for the mixed proportional hazard model. In particular, the baseline hazard is assumed to be bounded away from 0 and ∞ near t = 0. These conditions ensure that the information matrix is nonsingular. The paper also presents an estimator for the mixed proportional hazard model that converges at rate N^−1/2.     

Asymptotic Variance of Semiparametric Estimators With Generated Regressors

We study the asymptotic distribution of three‐step estimators of a finite‐dimensional parameter vector where the second step consists of one or more nonparametric regressions on a regressor that is estimated in the first step. The first‐step estimator is either parametric or nonparametric. Using Newey's (1994) path‐derivative method, we derive the contribution of the first‐step estimator to the influence function. In this derivation, it is important to account for the dual role that the first‐step estimator plays in the second‐step nonparametric regression, that is, that of conditioning variable and that of argument.