Floral abundance and richness drive beneficial arthropod conservation and biological control on golf courses

Urban Ecosystems - Golf courses are among the largest, most ubiquitous highly maintained urban green spaces in the U.S. Although their primary function is recreation, a large portion of golf course...     

How Does Performance Management Affect Workers? Beyond Human Resource Management and Its Critique

While performance management (PM) is pervasive across contemporary workplaces, extant research into how performance management affects workers is often indirect or scattered across disciplinary silos. This paper reviews and synthesizes this research, identifies key gaps and explores ‘recognition theory’ as a nascent framework that can further develop this important body of knowledge. The paper develops in three main stages. The first stage reviews ‘mainstream’ human resource management (HRM) research. While this research analyses workers’ reactions to performance management in some depth, its focus on serving organizational goals marginalizes extra‐organizational impacts. The second stage reviews more critical HRM research, which interprets performance management as a disciplinary, coercive or inequitable management device. While this literature adds an important focus on organizational power, there is scope to analyse further how PM affects workers’ well‐being. To develop this strand of PM research, the third stage turns to the emerging field of recognition theory independently developed by Axel Honneth and Christophe Dejours. The authors focus especially on recognition theory's exploration of how (in)adequate acknowledgement of workers’ contributions can significantly affect their well‐being at the level of self‐conception. Although recognition theory is inherently critical, the paper argues that it can advance both mainstream and critical performance management research, and also inform broader inquiry into recognition and identity at work.     

Temperamental,Parental, and Contextual Contributors to Early‐emerging Internalizing Problems: A New Integrative Analysis Approach

This study evaluated a comprehensive model of factors associated with internalizing problems (IP) in early childhood, hypothesizing direct, mediated, and moderated pathways linking child temperamental inhibition, maternal overcontrol and rejection, and contextual stressors to IP. In a novel approach, three samples were integrated to form a large sample (N = 500) of Canadian children (2–6 years; M = 3.95 years; SD = .80). Items tapping into the same constructs across samples were used to create parallel measures of inhibited temperament, maternal positive, critical, and punitive parenting, maternal negative emotionality, family socioeconomic and structural stressors, and child's IP. Multiple‐groups structural equation modeling indicated that associations were invariant across samples and did not differ for boys and girls. Child inhibition, less positive and more critical parenting, maternal negative emotionality, and family socioeconomic disadvantage were found to have direct associations with IP. In addition, maternal negative emotionality was associated with IP through more critical parenting, and both maternal negative emotionality and socioeconomic stress were associated with IP through less positive parenting. Results highlight the multiple independent and cumulative risk factors for early IP and demonstrate the power of integrating data across developmental studies.     

Regression models for analyzing clustered binary and continuous outcomes under an assumption of exchangeability

Scientific experiments commonly result in clustered discrete and continuous data. Existing methods for analyzing such data include the use of quasi-likelihood procedures and generalized estimating equations to estimate marginal mean response parameters. In applications to areas such as developmental toxicity studies, where discrete and continuous measurements are recorded on each fetus, or clinical ophthalmologic trials, where different types of observations are made on each eye, the assumption that data within cluster are exchangeable is often very reasonable. We use this assumption to formulate fully parametric regression models for clusters of bivariate data with binary and continuous components. The regression models proposed have marginal interpretations and reproducible model structures. Tractable expressions for likelihood equations are derived and iterative schemes are given for computing efficient estimates (MLEs) of the marginal mean, correlations, variances and higher moments. We demonstrate the use the ‘exchangeable’ procedure with an application to a developmental toxicity study involving fetal weight and malformation data.     

Bunk Bed Injuries in College Students

Abstract

We surveyed 1,431 college seniors to investigate the frequency and severity of injury after falls from bed. This data was analyzed along with data obtained from both the Consumer Product Safety Commission and the armed forces. We found that falls from bed are common in young adults and that injuries are more likely to occur with falls from bunk or loft beds than from standard beds (p = 0.025). Falls were most common when students were climbing out of bed or were startled awake. Alcohol use was implicated in 36% of the falls. We recommend that the heights of nonstandard beds for students be lowered, that alarms and phones be placed within easy reach, and that sturdy, fixed devices be used to descend. Intoxicated individuals should be placed on standard beds or lower.     

A comparison of tests of homogeneity for sparse contingency tables

Five tests of homogeneity for a 2x(k+l) contingency table are compared using Monte Carlo techniques. For these studiesit is assumed that k becomes large in such a way that thecontingency table is sparse for 2xk of the cells, but the sample size in two of the cells remains large. The test statistics studied are: the chi-square approximation to the Pearson test statistic, the chi-square approximation to the likelihood ratio statistic, the normal approximation to Zelterman's (1984)the normal approximation to Pearson's chi-square, and the normal approximation to the likelihood ratio statistic. For the range of parameters studied the chi-square approximation to Pearson's statistic performs consistently well with regard to its size and power.     

Policy deployment: A case study analysis

Theaim of theresearch reported in thispaper wasto examine policy deployment in a business unit of the UK company operation of a major corporation, considered a world leader in business improvement. In this study, the application of policy deployment at an operational level was investigated to determine how managers deploy and manage direction, and assess the effectiveness of the catchball process. In the business unit studied, policy deployment could have a greater impact. For example, in deploying direction, cascade and catchball is used, however, the leadership, checks, control and communication elements could be more effective, and the respective shortcomings are described. A generic catch-reflect-improvescrutinize-pass (CRISP) approach to policy deployment is proposed by which vision, mission, goals, objectives, targets and means can be more effectively deployed.     

A Bayesian View of Nominal Money and Real Output Through a New Classical Macroeconomic Window

This study investigates the empirical evidence on the effects of unanticipated changes in nominal money on real output in 47 countries when viewed through a window (i.e., likelihood function) that assumes the neutrality of anticipated changes. Using a Bayesian predictivist approach, it provides a pedagogical Bayesian analysis of generated regressor models in the face of specification uncertainty involving, among other things, multiple unit roots and trend stationary alternatives.     

Social Well-Being in Northern Ireland: A Longitudinal Study 1958–1998

This paper examines the question of how social well-being, or quality of life, in Northern Ireland has changed through time from 1958 to 1998. After reviewing major economic trends and governmental policy affecting the region, we develop an overall measure of quality of life based on previous research into social well-being in Northern Ireland. We find that the ‘Troubles’ clearly impact the quality of life in Northern Ireland but not necessarily as broadly as one might suspect. The majority of the sixteen underlying indicators used for creating a measure of social well-being remain largely unaffected by the conflict and closely track increases in overall United Kingdom Gross Domestic Product. The remaining five measures of social well-being are significantly impacted by the conflict. The resulting measures of social well-being and some suggested uses for future research are then presented.