An extension of the classical A B C inventory control system

The conventional method of controlling inventories of relatively fast moving items in a store is based on an A B C classification of the stock items. An analysis is presented for the extension of this method to determine the number of categories that should be employed and the way in which the different items should be allocated to these categories. A case study is briefly described to illustrate the application of this methodology.     

Understanding and Addressing Contemporary Racism: From Aversive Racism to the Common Ingroup Identity Model

This article describes our collaborative research on aversive racism and a strategy we developed to combat it, the Common Ingroup Identity Model. In addition, we reveal some details about our personal and professional relationship in pursuit of our scientific agenda. We begin by discussing evidence for the existence of aversive racism, a subtle, unintentional form bias that can have pernicious effects. Then we review research concerning how a common ingroup identity can combat aversive racism by redirecting the forces of social categorization and social identity, such that "Us" and "Them" are regarded as "We." We conclude with a brief discussion of where we may look next for clues toward helping to achieve a fairer, more just society.     

Family class immigrants to Canada 1981-1984: part 2: some aspects of social adaptation

This paper examines the adaptation of Family Class immigrants in Canada in the acquisition of language proficiency, geographic mobility, education and training, government services used, and sponsorship of other Family Class immigrants. The data were acquired in a 1983 telephone survey of 1400 immigrants in 5 metropolitan areas (Toronto, Montreal, Winnipeg, Calgary, and Vancouver). In the sample, 1) 2/5 were male; 2) 40% were age 35 or over; 3) 69% of the men and 64% of the women reported good or excellent spoken English; and 4) the average family size varied by origin, from 2.5 to 4.7, with the average being 3.9. Close to 75% from South Asia, Central and South America, the Middle East, Africa, and Western Europe and 50% from other parts of Europe had excellent or good fluency in spoken English. No ability to speak English was 3 times greater for immigrants aged 55-64 compared to those aged 18-24. More than 46% of the sample reported having taken classes in Canada that lasted more than 2 weeks. English courses predominated with occupational courses close behind, followed by general education courses. In 68% of cases, occupational courses helped immigrants improve their occupational ability. Immigrants perceived English courses to be slightly more helpful in finding employment (36%) than occupational courses (33%). 3/4 of the sample lived in the same dwelling as 12 months before; 23% had moved to a different dwelling in the same municipality. 2/3 moved to live in a better dwelling or neighborhood or because they bought a house. 4/5 of Family Class immigrants did not receive any services from Canada Employment Centres. Over 95% reported that a nuclear family member acted as their sponsor. The propensity to sponsor a relative varies by age, sex, marital status, occupation, income, length of time in Canada, number and type of relatives, and country of origin. Their sponsorship rate is not higher than rates reported in other studies. The author concludes that contrary to popular beliefs, Family Class immigrants are socially adapting to life in Canada rather rapidly.     

Preenrollment Immunization Policies of American Colleges: An Assessment of the Need for Policy Implementation

Abstract

Alcohol abuse among college students is prevalent, yet few instruments with sound reliability and validity are available to assess these problems in this population. As part of a large, baseline assessment battery for a prospective study of offspring of alcoholics, the 27-item Young Adult Alcohol Problems Screening Test (YAAPST) was given to 490 freshmen at a large mid western university; approximately 9 months later, 482 subjects completed the scale again. In addition to asking about such traditional problems as experiencing blackouts and driving while intoxicated, the YAAPST included specific items relating to college experiences (eg, getting into sexual situations that were later regretted, missing classes, and receiving lower grades than usual). The YAAPST was designed to assess these drinking consequences over two different time frames, lifetime and past year, and also to indicate the frequency of occurrence during the past year. Results indicated that the YAAPST is a unidimensional scale with good psychometric properties (good internal consistency and test-retest reliability). Three different approaches were used to demonstrate the validity of the YAAPST. Findings supported criterion validity (with interview-based alcohol abuse/dependence diagnoses as the criterion), concurrent validity (comparing the YAAPST with other drinking measures), and construct validity (correlating the YAAPST with etiologically relevant personality, motivational, and peer influence variables). The YAAPST is a promising screening instrument for alcohol problems in college students. It has excellent psychometric properties and the potential to provide a range of useful information to the clinician or researcher.     

Examining the 100‐Year Floodplain as a Metric of Risk,Loss, and Household Adjustment

An understudied, but central aspect in understanding flood impacts is the way we conceptualize, identify, and delineate risk. The 100‐year floodplain is the longstanding metric in the United States for determining and acting upon the possibility of an area being inundated. This spatial delineation guides local planning and development decisions, triggers insurance purchases and other household adjustments, and serves as the fundamental indicator for whether it is safe to build a structure on a particular site. However, increasing evidence suggests that the 100‐year floodplain is neither accurate nor sufficient in guiding communities and household decisions to mitigate the adverse economic impacts of floods. In this perspective, we examine the effectiveness of the 100‐year floodplain as an appropriate marker of risk. First, we review existing studies on location and flood damage. Next, we apply these concepts to repetitive flood losses data in Harris County, Texas. We conclude that the apparent inability of the floodplain designation to effectively capture the likelihood of property damage and potential loss of human life in coastal areas has left potentially millions of property owners unaware of the flood risk and unprepared to mitigate their adverse impacts. Relying on traditional 100‐year floodplain boundaries, local decision makers are hampered in their ability to ensure community development occurs in a resilient manner. Finally, we set forth an agenda for future research to better capture the conditions associated with flood risk and account for the large percentage of damage outside the designated floodplain.     

PARTIALLY LINEAR MODEL SELECTION BY THE BOOTSTRAP

We propose a new approach to the selection of partially linear models based on the conditional expected prediction square loss function, which is estimated using the bootstrap. Because of the different speeds of convergence of the linear and the nonlinear parts, a key idea is to select each part separately. In the first step, we select the nonlinear components using an ' m -out-of- n ' residual bootstrap that ensures good properties for the nonparametric bootstrap estimator. The second step selects the linear components from the remaining explanatory variables, and the non-zero parameters are selected based on a two-level residual bootstrap. We show that the model selection procedure is consistent under some conditions, and our simulations suggest that it selects the true model most often than the other selection procedures considered.     

A Bayesian ordinal logistic regression model to correct for interobserver measurement error in a geographical oral health study

Summary.  We present an approach for correcting for interobserver measurement error in an ordinal logistic regression model taking into account also the variability of the estimated correction terms. The different scoring behaviour of the 16 examiners complicated the identification of a geographical trend in a recent study on caries experience in Flemish children (Belgium) who were 7 years old. Since the measurement error is on the response the factor 'examiner' could be included in the regression model to correct for its confounding effect. However, controlling for examiner largely removed the geographical east–west trend. Instead, we suggest a (Bayesian) ordinal logistic model which corrects for the scoring error (compared with a gold standard) using a calibration data set. The marginal posterior distribution of the regression parameters of interest is obtained by integrating out the correction terms pertaining to the calibration data set. This is done by processing two Markov chains sequentially, whereby one Markov chain samples the correction terms. The sampled correction term is imputed in the Markov chain pertaining to the regression parameters. The model was fitted to the oral health data of the Signal–Tandmobiel^® study. A WinBUGS program was written to perform the analysis.