The World Fertility Survey: an appraisal of methodology

"In the first half of the article, a broad account of content and procedures is given. In conduct of individual surveys, the achievements of the World Fertility Survey were based on thoroughness rather than technical superiority. The later aspects of the program, including analysis, archiving, and data dissemination, were more innovative and represent models of excellence for similar future enquiries. In overall terms, the program is judged to be an expensive success. In the second half of the article, two methodological issues are discussed in more detail: the collection of retrospective birth histories and the translation of survey instruments into local languages." Comments by Anthony G. Turner (pp. 768-9), Kweku T. de Graft-Johnson (pp. 769-70), Burton Singer (pp. 771-2), and Joel E. Cohen (pp. 772-4) are appended.     

Complete censuses and samples

"Complete decennial censuses are needed for small areas and other domains. Sample surveys yield diverse and timely data. Censuses can also be combined with samples, and sometimes with data from registers, for diverse estimates that are detailed over both space and time, and hence are timely for small domains. Methods of 'postcensal estimates' for small domains are described. We note uses of censuses for improving samples and of samples for improving censuses, and propose a method for cumulating data from 'rolling' (or rotating) periodic (weekly, monthly or quarterly) samples specifically designed to cover the population in detail over designed spans (annual and quinquennial)."     

Asian immigrants in Canada: some findings from 1981 census

Immigrant characteristics in Canada are analyzed using data from the 1981 census. "The purpose of this paper is to focus on Asian immigrants and to compare them with immigrants born in the United Kingdom, and also to compare them with Canadian-born persons with respect to age, sex, marital status composition, educational attainment, labour force participation, class of worker, occupation and income." (summary in FRE, SPA)     

The white native speaker and inequality regimes in the private English language school

Private English language schools market the language as a tool that helps one connect with others from different cultures. Despite their promotion of English aiding in intercultural communication, these institutions may believe that only the white native speaker is the ideal teacher of the language. This valuing of the white native speaker can consequently act as an organisational inequality regime that marginalises nonwhite teachers. Using qualitative interviews with 10 nonwhite instructors working in schools in Toronto, Canada, this article investigates the ways in which these teachers experience the inequality regime of the white native speaker at work. The findings indicate that the teachers experience this inequality regime as a series of microaggressions that involve space, competence and customer desire. The article concludes with suggestions to dismantle inequality regimes in private institutions.     

Developing Measures for Assessing the Organizational Impact of Information Technology: A Comment on Mahmood and Soon's Paper

In a recent study, Mahmood and Soon [26] identified and operationalized a set of variables that can be potentially impacted by information technology. The lack of factor analysis to verify the dimensionality of different variables is a notable omission in the study. This paper describes and employs the limited-information factor analysis approach and the minimum average partial criterion for testing the unidimensionality of different variables in the Mahmood and Soon study. While reconfirming the construct validity of eight variables, our results question the unidimensionality of two original variables. Further testimony is provided in favor of our results by citing previous research studies.     

Boom and bust: housing equity withdrawal and consumption decisions and their impacts on household wealth

The authors examine whether the surge in housing refinance and equity withdrawal generated by the housing boom disproportionately affected older households in terms of decisions on whether to refinance, whether to withdraw equity, and how much to withdraw, and how in turn these decisions affected their household wealth. Using the Federal Reserve's Survey of Consumer Finances, the authors found the highest rates of refinancing and cashing out equity among older (although not necessarily the oldest) households. The authors also found that appreciation in house value, being a baby boomer, and having higher household income were the factors that most increased the probability of refinancing and withdrawing equity. Amounts cashed out were higher among older than among younger households. Ordinary least squares (OLS) estimates showed that amounts withdrawn were increased by price appreciation, financial assets, and income, along with being a "pre-boomer" or "early boomer." Older cohorts displayed larger wealth effects than younger ones, but their withdrawn equity was a smaller percentage of total net worth. A relatively small percentage of respondents' dollars was used for consumption, and most dollars were used for home improvement, other investment, or debt repayment. However, massive equity withdrawal and the subsequent collapse of housing prices have caused housing leverage to soar, putting some homeowners "underwater" and jeopardizing others' retirement preparedness. The ensuing housing finance crisis raises numerous policy issues, from reform of mortgage underwriting, securitization, servicing, and foreclosure procedures, to potential limitations on borrowing against unrealized housing equity gains, to enhanced government transfers for distressed older homeowners, to local and state revenue policy changes.     

Breaking Bad: Comparing Gambling Harms Among Gamblers and Affected Others

This article examines gambling harms from both gamblers and affected others’ perspectives. Participants (3076 gamblers and 2129 affected others) completed a retrospective survey that elicited information on harms they experienced from gambling across their lifetime. Their responses were analyzed through testing measurement invariance, estimating item-response theoretic parameters, calculating percentages, confidence intervals, and correlations, as well as regressions. The results indicated large commonalities in the experience of harms reported by gamblers and affected others. Further, gamblers appeared to ‘export’ about half of the harms they experienced to those around them. The findings also provided detailed profiles of evolving harms as problem gambling severity varies.     

Blunders in international marketing: Fact or fiction

Popular literature on international marketing gives the impression that U.S. firms are insensitive, lack understanding of the unique socio-political, cultural and trade environments of foreign markets, and are probably blundering all the time. Is this really so? To find an answer to this question, this article reports the results of the study that was conducted to verify some of the more publicized blunders in international marketing.     

Growth and Heat Resistance Kinetic Variation Among Various Isolates of Salmonella and its Application to Risk Assessment

The abilities of cells of a particular type of bacteria to leave lag phase and begin the process of dividing or surviving heat treatment can depend on the serotypes or strains of the bacteria. This article reports an investigation of serotype-specific differences in growth and heat resistance kinetics of clinical and food isolates of Salmonella. Growth kinetics at 19 degrees C and 37 degrees C were examined in brain heart infusion broth and heat resistance kinetics for 60 degrees C were examined in beef gravy using a submerged coil heating apparatus. Estimates of the parameters of the growth curves suggests a small between-serotype variance of the growth kinetics. However, for inactivation, the results suggest a significant between-serotype effect on the asymptotic D-values, with an estimated between-serotype CV of about 20%. In microbial risk assessment, predictive microbiology is used to estimate growth and inactivation of pathogens. Often the data used for estimating the growth or inactivation kinetics are based on measurements on a cocktail--a mixture of approximately equal proportions of several serotypes or strains of the pathogen being studied. The expected growth or inactivation rates derived from data using cocktails are biased, reflecting the characteristics of the fastest growing or most heat resistant serotype of the cocktail. In this article, an adjustment to decrease this possible bias in a risk assessment is offered. The article also presents discussion of the effect on estimating growth when stochastic assumptions are incorporated in the model. In particular, equations describing the variation of relative growth are derived, accounting for the stochastic variations of the division of cells. For small numbers of cells, the expected value of the relative growth is not an appropriate "representative" value for actual relative growths that might occur.