Urbanization is not associated with increased abundance or decreased richness of terrestrial animals - dissecting the literature through meta-analysis

The widely accepted consensus is that urbanization increases abundance but reduces species richness of animals. This assumption is the premise for empirical tests and theoretical explanations. We studied the association of urbanization with abundance and species richness of different animal taxa in 20 and 26 published articles reporting abundances and richness, respectively via meta-analysis. Because some articles had multiple estimates, we analyzed 40 and 58 estimates of abundance and richness, respectively. Contrary to conventional wisdom, the overall abundance of terrestrial animals was not higher in urban areas, but instead actually lower, while we failed to confirm the conventional thinking of lower species richness with urbanization. These findings cannot, however, be generalized across all cities and animal species, as conflicting differences were reported among geographical regions, animal taxa. Our results question the conventional wisdom that urbanization generally increases abundances while reducing species richness, and highlights the variability of urbanization effects on diversity among taxa and geographic regions.     

Determinants and Long‐Term Effects of Attendance Levels in a Marital Enrichment Program for African American Couples

Although most efficacious marital enrichment programs are multisession, few studies have explored whether outcomes differ according to session attendance, particularly among minority groups with lower than average participation in prevention programs. This study therefore investigates attendance levels and long‐term improvements in couple functioning among 164 couples participating in the Promoting Strong African American Families program. Structural equation models indicated session attendance predicted 2‐year changes for men's reports of communication, commitment, and spousal support (marginally) but not for women's. Individual and couple characteristics that predicted attendance levels were also identified. Results highlight distinct gender differences in the effects of sustained attendance as well as characteristics that provide early identifiers for African American couples at increased risk of low program attendance.     

Racial inequality and the recognition of racial discrimination in Jamaica

A growing body of literature posits that a population’s denial of the salience of racial discrimination acts as a mechanism of its perpetuation. Moreover, scholars locate a population’s propensity to deny racial discrimination in contemporary ideologies of racial mixing or ethnic fusion. Most quantitative studies of public opinion on these issues are limited to Latin America and the Spanish-speaking Caribbean. This study examines the case of Jamaica. We first (1) examine the extent of Jamaica’s contemporary racial inequality using national census data. We then (2) use nationally representative data from the AmericasBarometer social survey to determine the extent to which a recognition of racial discrimination characterizes Jamaican public opinion. Finally, we (3) explore the salience of an ideology of racial mixing in Jamaica and (4) test whether that ideology affects the likelihood that Jamaicans acknowledge contemporary racial discrimination. Our findings document dramatic social inequality by skin colour in Jamaica and suggest that a majority embrace an ideology that racial mixing is negatively associated with Jamaicans’ recognition of racial discrimination. We discuss our findings and their implications for understanding ideologies of racial mixing and racial inequality in the Americas.     

国民政府时期的国立拉萨小学及其创办之意义

国立拉萨小学是国民政府中央在拉萨所办教育事业中较为成功的一例,关于该校的研究目前学术界存在许多错讹之处.文章利用档案资料,对国立拉萨小学的创办、发展和演变过程进行系统地梳理,并探索该校在国民政府治藏教育政策执行中发挥的积极作用.     

CONSTRAINED DECISION CRITERIA1

The choice of a suitable decision criterion is a difficult decision for many decision makers. In general, each criterion selects a different optimal act, each having its own appealing features. This paper proposes an approach allowing the decision maker to incorporate multiple criteria into an easily solved mathematical programming model whose solution is the optimal act. Optimality is defined by the objective function used in the model. The constraints embody the decision maker's anxieties and minimal desires.     

Suicide reports in the news – impact of Chief Coroner's call to open up suicide reporting

ABSTRACT

Aim: In 2010, the then Chief Coroner called for an opening up of suicide reporting in the press. We aimed to discover if this controversial action influenced the nature and extent of reporting of individual suicide cases in the newsprint media.

Method: A Factiva search of news reports from high circulation newspapers was conducted over four years. We counted the number of news reports of individual suicides and examined any mention of demographics, methods, location and contributing factors.

Results: We retrieved 291 individual suicide reports, 161 before and 130 after the Chief Coroners’ call. Reporting was more detailed after the call, with increased reporting of demographics, contributing factors and methods but less reporting of location. Most of these differences did not reach statistical significance.

Conclusion: The press did not appear to take the action of the Chief Coroner as a licence to report more frequently on individual suicide cases.     

A comparison of alternative variance estimation strategies for estimating the slope of a linear regression in sample surveys

The balanced half-sample, jackknife and linearization methods are used to estimate the variance of the slope of a linear regression under a variety of computer generated situations. The basic sampling design is one in which two PSU's are selected from each of a number of strata . The variance estimation techniques are compared with a Monte Carlo experiment. Results show that variance estimates may be highly biased and variable unless sizeable numbers of observations are available from each stratum. The jackknife and linearization estimates appear superior to the balanced half sample method - particularly when the number of strata or the number of available observations from each stratum is small.     

Assignment errors in histograms with equal class intervals of arbitrary width

It is shown that significant distortions can occur in histograms constructed with a class interval of arbitrary width, due to the inclusion (or omission) of readings in a class interval which do not (do) properly belong to that interval. Unless the class interval width is at least ten times greater than the reading interval the proportion of unrepresentative readings may exceed 10%. In any event caution is required in the interpretation of a histogram in which this effect is present.     

Making the Housing Unit Method Work: An Evaluation of 2010 Population Estimates in Florida

The housing unit (HU) method—in which population estimates are derived from estimates of occupied HUs—is the most commonly used method for making small-area population estimates in the United States. It is widely used because it is conceptually simple, can utilize a wide variety of data sources, can be applied at virtually any level of geography, and often produces reliable estimates. Yet the HU method is more nearly a general approach to population estimation than it is a specific methodology. In this paper, we describe and evaluate several data sources and estimation techniques that can be used in applying the HU method. Using a set of county and subcounty estimates produced by the Bureau of Economic and Business Research (BEBR) at the University of Florida for April 1, 2010, we analyze errors by population size and growth rate, calculate errors for each of the three components of the HU method, and investigate the accuracy of estimates based on several different data sources and estimation techniques. We compare the accuracy of the 2010 estimates with previous BEBR estimates and estimates produced by the U.S. Census Bureau. We conclude that although some data sources and estimation techniques work better than others, the HU method can be tailored to produce reliable population estimates for a wide variety of geographic areas.