Household Headship Among Married Women: The Roles of Economic Power, Education, and Convention

Household headship historically has been equated with being the main economic provider of the household, a position usually occupied by men. This paper uses a change in the United States Census definition of household headship to examine whether headship for married women is associated with being the primary breadwinner in a marriage versus other non-economic explanations. According to microdata from the 1990 United States Census, women who are the main income providers in a marriage are much more likely to be household heads than women in co-provider marriages. There also is support for an egalitarian ideology explanation; that is, when both spouses are highly educated, the wife is more likely than the husband to be household head net of her relative economic independence in that marriage. Yet the force of convention remains strong given the low prevalence of headship among married women. The new census definition was meant partly to reflect the changing economic status of women. However, the reality is that conventional gender behaviors persist in household headship.     

Use of time and preferences for time allocation among urban,employed, married women

This study examines the relationship between employed wives' preferences for household production time, employment time, leisure, and their actual time use. A random sample of 235 employed, married women estimate their time use on an average weekday and weekend day in 13 activities and indicate their preferences for time in those activities. Hierarchical multiple regression procedures are used to examine the relationships between actual and preferred time use. Weekday employment time is not related to preferences for more or less time in household production but wives allocating more time to employment want to spend less time at that employment and more time in leisure. Weekend employment time is related to preferences for more time in leisure, child care, and other household work. Time spent performing household work is not related to preferences for more or less time in any activity except the desire for more leisure time on weekends.Ann Renigar Hiatt is Assistant Professor in the Department of Human Services, College of Education and Allied Professions at the University of North Carolina at Charlotte, Charlotte, NC 28223. Her research interests include employed women's time allocation, time pressures, and use of time management strategies. She received her Ph.D. from the University of North Carolina at Greensboro.Deborah D. Godwin is Associate Professor in the Department of Housing and Consumer Economics at the University of Georgia, Athens, GA 30602. Her research has focused on husbands' and wives' time allocation to household production, the effects of women's employment on family economic functioning, and family financial management. She received her Ph.D. from the University of North Carolina at Greensbore.     

Psychological implications of childhood meatotomies

This paper informs clinicians about the nature of childhood meatotomies, and presents two cases which suggest that the presence of a meatotomy in the developmental history of male clients should alert clinicians to the potential significance of particular body damage fears and body integrity issues in the client.     

To Check In or Not to Check In? That Is the Question!

The University of South Florida Tampa Library discontinued checking in print journals and periodicals for a trial period of one year from July 2005 to June 2006. This article discusses the reasons behind such a decision, the challenges, and final results. Though the trial proved inconvenient for public and technical services alike, few specific problems were reported via e-mail, online forms or in person. The library derived several benefits from this project, particularly in terms of the timing, since it happened just as the library moved to a new integrated library system, from NOTIS to Aleph.     

Bayesian hierarchical regression models for detecting QTLs in plant experiments

Quantitative trait loci (QTL) mapping is a growing field in statistical genetics. In plants, QTL detection experiments often feature replicates or clones within a specific genetic line. In this work, a Bayesian hierarchical regression model is applied to simulated QTL data and to a dataset from the Arabidopsis thaliana plants for locating the QTL mapping associated with cotyledon opening. A conditional model search strategy based on Bayesian model averaging is utilized to reduce the computational burden.     

A Vocabulary of Motives: Understanding How Parents Define Quality Time

Although discussions of parenting refer to quality time, parents’ views of quality time have not been explored. Using the Sloan 500 Family Study, this article examines how 220 parents from 110 dual‐parent families define the spending quality time with their families and finds 3 distinct views: Structured‐planning parents saw it as planned family activities, child‐centered parents emphasized heart‐to‐heart talks with their children, and time‐intensive parents believed that all the time they spent with their families was quality time. Mothers and fathers both valued quality time, but, particularly when parents within a household disagreed, mothers more often described having a more active parenting role and assumed greater responsibility for quality time, reflecting a gendered division of parenting within the home.     

CALIBRATING MEASURES OF FAMILY ACTIVITIES BETWEEN LARGE- AND SMALL-SCALE DATA SETS

Two studies of working families are combined to demonstrate a strategy for producing reliable estimates from the combination of self-reported (large N) and observational (small N) data. Both studies examine where and how dual-career families spend time at home. The 500 Family Study is sociological and uses self-reported time diary data from a national sample; the CELF study is anthropological and uses observational scan sampling data from a regional sample of 32 families. The data are combined as if they constitute one sample, and an analytic solution for establishing the reliability of the resulting composite estimates of time use is provided. Merging the data sets provides validation for each study, neither of which is without potential methodological weaknesses. The advantages of combining data from the independent data collection methods are discussed, and selected substantive findings on families' activities are highlighted, illustrating similarities and differences between findings in the independent and combined data sets. Results show that working families spend significant time in a small spectrum of home spaces, particularly kitchens and living rooms, with leisure activities prevailing, but mothers, fathers, and children differ in where and how they spend their time. Overall, a template for merging data from different disciplines and methods is provided.     

Flexible modelling of simultaneously interval censored and truncated time‐to‐event data

This paper deals with the analysis of data from a HET‐CAM^VT experiment. From a statistical perspective, such data yield many challenges. First of all, the data are typically time‐to‐event like data, which are at the same time interval censored and right truncated. In addition, one has to cope with overdispersion as well as clustering. Traditional analysis approaches ignore overdispersion and clustering and summarize the data into a continuous score that can be analysed using simple linear models. In this paper, a novel combined frailty model is developed that simultaneously captures all of the aforementioned statistical challenges posed by the data. Copyright © 2015 John Wiley & Sons, Ltd.     

Model free audit methodology for bias evaluation of tumour progression in oncology

Many oncology studies incorporate a blinded independent central review (BICR) to make an assessment of the integrity of the primary endpoint, progression free survival. Recently, it has been suggested that, in order to assess the potential for bias amongst investigators, a BICR amongst only a sample of patients could be performed; if evidence of bias is detected, according to a predefined threshold, the BICR is then assessed in all patients, otherwise, it is concluded that the sample was sufficient to rule out meaningful levels of bias. In this paper, we present an approach that adapts a method originally created for defining futility bounds in group sequential designs. The hazard ratio ratio, the ratio of the hazard ratio (HR) for the treatment effect estimated from the BICR to the corresponding HR for the investigator assessments, is used as the metric to define bias. The approach is simple to implement and ensures a high probability that a substantial true bias will be detected. In the absence of bias, there is a high probability of accepting the accuracy of local evaluations based on the sample, in which case an expensive BICR of all patients is avoided. The properties of the approach are demonstrated by retrospective application to a completed Phase III trial in colorectal cancer. The same approach could easily be adapted for other disease settings, and for test statistics other than the hazard ratio. Copyright © 2015 John Wiley & Sons, Ltd.