Qualitätsmanagement: Entwicklung,Problemfelder und ein integrativer Lösungsvorschlag

Quality Management: History, problems and an integrative modelStarting with a critical examination of the history and the commonly known concepts and systems of Quality Management, the paper discusses a broader understanding of quality in a genuinely managerial perspective. This is shown by generating and applying five basic dimensions of the quality concept. An integrative concept of Quality Management is presented.     

When parties and candidates collide: citizen perception of house candidates' positions on abortion

When candidates assume issue positions opposite those of their sponsoring political party do citizens recognize these positions? Relatedly, what role do candidates' actual issue positions play in citizens' perceptions of their issue positions? Examining citizens' perceptions of 1996 and 1998 House candidates' position on abortion, this research finds that citizens' perceptions are shaped largely by partisan and, to a lesser extent, gender stereotypes. However, candidates' individuating positions on abortion influence perceptions of the candidates' position, but the effects are considerably stronger for perceptions of Republican candidates. Democratic candidates are likely to adopt anti-abortion positions in districts characterized by lower than average levels of political awareness and education, reducing the likelihood their party-contradicting position is accurately perceived. In contrast, Republican candidates adopt a pro-choice position in districts characterized by high education and political awareness, increasing the likelihood their position is accurately perceived.     

Discerning the epidemiology of drug use among a sample of college students

Although estimates concerning the prevalence of various forms of substance abuse vary considerably, it is critical to note that even the more conservative estimates indicate a major public health problem. Furthermore, increased drug experimentation has been frequently associated with the college experience. Utilizing a slightly modified version of the National Institute on Drug Abuse (NIDA) Monitoring the Future Survey, the present study examined the epidemiology of self-reported drug taking behaviors (e.g., alcohol, marijuana, tranquilizers, stimulants, psychedelics, etc.) among a sample (n = 683) of students attending a major public university. Data analyses focused on the specific settings and social groupings in which drug use occurred as well as on the frequency and type(s) of drug taking behaviors. Based on the results yielded from a disjoint cluster analysis, four distinct groups of drug users were identified. These four groups then served as categories of the dependent variable in a discriminant function analysis. A general linear models procedure was employed to identify the more efficacious discriminating (i.e., independent) variables.     

THE TREATMENT OF BORDERLINE PERSONALITY DISORDER WITHIN A DISTRESSED RELATIONSHIP*

An integrated systemic-psychodynamic approach to the treatment of characterological disorders within conjoint marital therapy is suggested. Spouses' personality disorders may serve a homeostatic function within the marital relationship. Thus, any effort to effect change on either the marital or individual system level must address both the individual and relationship distress. Borderline personality disorder, an extreme characterological impairment, has been considered intractible, although object relations therapists have experienced success in treating such clients. The present paper draws from object relations and systemic therapies in developing a treatment approach to marriages which include at least one borderline spouse. A case example illustrates the conceptualizations and interventions which are proposed.     

Stancetaking and the joint construction of zine producer identities in a research interview

This article examines the construction of zine producer identities (self and other) during a research interview. Zines are self‐published texts that circulate in mainly underground communities. In this study, I draw on dialogic understandings of the notion of ‘stance’ to show how a zine producer accomplishes a situated identity performance in the interview that also functions as an interdiscursive move in a larger conversation about the role Do‐It‐Yourself (DIY) ethics should play in zine communities. Specifically, I show how this speaker displays stances in relation to recognizable social types within zine communities but also the canonical stances associated with these social types. I unpack the features that work in support of this stancetaking, including discourse markers, constructed dialogue, referring terms, and prosodic cues. The analysis also foregrounds how the interviewer's turns contributed to these emergent stance displays, which furthers our understanding of the dynamic social context of the research interview.     

Kernel naive Bayes discrimination for high‐dimensional pattern recognition

Kernel discriminant analysis translates the original classification problem into feature space and solves the problem with dimension and sample size interchanged. In high‐dimension low sample size (HDLSS) settings, this reduces the ‘dimension’ to that of the sample size. For HDLSS two‐class problems we modify Mika's kernel Fisher discriminant function which – in general – remains ill‐posed even in a kernel setting; see Mika et al. (1999). We propose a kernel naive Bayes discriminant function and its smoothed version, using first‐ and second‐degree polynomial kernels. For fixed sample size and increasing dimension, we present asymptotic expressions for the kernel discriminant functions, discriminant directions and for the error probability of our kernel discriminant functions. The theoretical calculations are complemented by simulations which show the convergence of the estimators to the population quantities as the dimension grows. We illustrate the performance of the new discriminant rules, which are easy to implement, on real HDLSS data. For such data, our results clearly demonstrate the superior performance of the new discriminant rules, and especially their smoothed versions, over Mika's kernel Fisher version, and typically also over the commonly used naive Bayes discriminant rule.     

Is religion a health resource for the poor?

This paper uses data from the 2004 General Social Survey to examine the relationship between religious belief and practice (religiosity), spirituality, social support, and health status. Health status is conceptualized first in terms of a subjective assessment and, second, as two objective indicators of physical problems. These relationships were examined first within the total GSS sample, and then separately for respondents who reported below or above the median annual income. Results indicate that spirituality is a positive predictor of respondents’ subjective assessment of their health in the overall sample, but not in either separate income group. Social support does not predict positive subjective or objective health outcomes in the entire sample or for any income group. However, religiosity is a positive predictor of physical health, but only for the most severe of the physical health problems measured, and only for respondents whose annual income is below the national median. Thus, it appears that religiosity is a health resource for those below average income.     

Robustness of Risk Maps and Survey Networks to Knowledge Gaps About a New Invasive Pest

In pest risk assessment it is frequently necessary to make management decisions regarding emerging threats under severe uncertainty. Although risk maps provide useful decision support for invasive alien species, they rarely address knowledge gaps associated with the underlying risk model or how they may change the risk estimates. Failure to recognize uncertainty leads to risk‐ignorant decisions and miscalculation of expected impacts as well as the costs required to minimize these impacts. Here we use the information gap concept to evaluate the robustness of risk maps to uncertainties in key assumptions about an invading organism. We generate risk maps with a spatial model of invasion that simulates potential entries of an invasive pest via international marine shipments, their spread through a landscape, and establishment on a susceptible host. In particular, we focus on the question of how much uncertainty in risk model assumptions can be tolerated before the risk map loses its value. We outline this approach with an example of a forest pest recently detected in North America, Sirex noctilio Fabricius. The results provide a spatial representation of the robustness of predictions of S. noctilio invasion risk to uncertainty and show major geographic hotspots where the consideration of uncertainty in model parameters may change management decisions about a new invasive pest. We then illustrate how the dependency between the extent of uncertainties and the degree of robustness of a risk map can be used to select a surveillance network design that is most robust to knowledge gaps about the pest.