Estimating the extent of spatial association of Mycobacterium bovis infection in badgers in Ireland

Mycobacterium bovis infects the wildlife species badgers Meles meles who are linked with the spread of the associated disease tuberculosis (TB) in cattle. Control of livestock infections depends in part on the spatial and social structure of the wildlife host. Here we describe spatial association of M. bovis infection in a badger population using data from the first year of the Four Area Project in Ireland. Using second-order intensity functions, we show there is strong evidence of clustering of TB cases in each the four areas, i.e. a global tendency for infected cases to occur near other infected cases. Using estimated intensity functions, we identify locations where particular strains of TB cluster. Generalized linear geostatistical models are used to assess the practical range at which spatial correlation occurs and is found to exceed 6 in all areas. The study is of relevance concerning the scale of localized badger culling in the control of the disease in cattle.

RB34-71 Effects of Inflation and Deflation Upon Nebraska Agriculture, 1914 to 1932

Nebraska farmers prospered during the period which followed the depression of the nineties and preceded the beginning of the World War. To be sure the prosperity was not uniformly distributed either by years or by areas. The corn crop was unusually short in a large portion of the state in 1901 and an almost total failure in many of the southern counties in 1913. Chinch bugs did considerable injury in 1901 and the Hessian fly in 1905 and 1914. There was noticeable damage from insects in some areas in other years. No part of the state, however, suffered from long-continued drouth or repeated ravages of insect pests. The depression of 1907 affected credit and prices very severly for a few months, but recovery was rapid and within less than a year business was again moving forward. This 1934 research bulletin covers the problems of inflation and deflation; changes in the prices of various commodities during inflation and deflation; prices and purchasing power of Nebraska farm products, 1914 to 1932; adjustments during inflation and deflation; the effect of wages on Nebraska agriculture; taxes; Nebraska farm income; changes in types of farming in Nebraska, 1914 to 1932; the banking situation; Nebraska farm land prices; and the effects of inflation and deflation upon Nebraska businesses.

Review of Harvest for Hope: A Guide to Mindful Eating by Jane Goodall with Gary McAvoy and Gail Hudson

One of the world's preeminent experts on primate behavior, author Jane Goodall now invests her boundless energy traveling and speaking about conservation. After years of studying chimpanzees in the Gombe National Park in Tanzania, Goodall found their very existence threatened by poachers, by encroachment of farming into their habitat, and by global forces far from their wild environment. She is now on a mission to inform the public about what is wrong with our society and its impact on the planet. Harvest for Hope catalogs the problems and provides practical solutions.

A review of existing and potential New World and Australasian vertebrate pesticides with a rationale for linking use patterns to registration requirements

Registration is a necessarily sophisticated evaluation process applied to vertebrate pesticide products. Although conducted to minimize any potential impacts upon public health, the environment and food production, the all-encompassing process of registration can stifle innovation. Vertebrate pesticides are rarely used to control pest animals in food crops. In contrast to agrochemicals, relatively small amounts of vertebrate pesticides are used (50.1%), usually in solid or paste baits, and generally by discrete application methods rather than by broad-scale spray applications. We present a hierarchy or sliding scale of typical data requirements relative to application techniques, to help clarify an evolving science-based approach which focuses on requiring data to address key scientific questions while allowing waivers where additional data have minor value. Such an approach will facilitate the development and delivery of increasingly humane, species-targeted, low residue pesticides in the New World, along with the phasing out of less desirable chemicals that continue to be used due to a lack of alternatives.

Evaluating Measurement Invariance with Censored Ordinal Data: A Monte Carlo Comparison of Alternative Model Estimators and Scales of Measurement

Evaluations of measurement invariance provide essential construct validity evidence. However, the quality of such evidence is partly dependent upon the validity of the resulting statistical conclusions. The presence of Type I or Type II errors can render measurement invariance conclusions meaningless. The purpose of this study was to determine the effects of categorization and censoring on the behavior of the chi-square/likelihood ratio test statistic and two alternative fit indices (CFI and RMSEA) under the context of evaluating measurement invariance. Monte Carlo simulation was used to examine Type I error and power rates for the (a) overall test statistic/fit indices, and (b) change in test statistic/fit indices. Data were generated according to a multiple-group single-factor CFA model across 40 conditions that varied by sample size, strength of item factor loadings, and categorization thresholds. Seven different combinations of model estimators (ML, Yuan-Bentler scaled ML, and WLSMV) and specified measurement scales (continuous, censored, and categorical) were used to analyze each of the simulation conditions. As hypothesized, non-normality increased Type I error rates for the continuous scale of measurement and did not affect error rates for the categorical scale of measurement. Maximum likelihood estimation combined with a categorical scale of measurement resulted in more correct statistical conclusions than the other analysis combinations. For the continuous and censored scales of measurement, the Yuan-Bentler scaled ML resulted in more correct conclusions than normal-theory ML. The censored measurement scale did not offer any advantages over the continuous measurement scale. Comparing across fit statistics and indices, the chi-square-based test statistics were preferred over the alternative fit indices, and ΔRMSEA was preferred over ΔCFI. Results from this study should be used to inform the modeling decisions of applied researchers. However, no single analysis combination can be recommended for all situations. Therefore, it is essential that researchers consider the context and purpose of their analyses.