Children's time in household work: Estimation issues

The purpose of this article is to analyze children's time in household production using tobit analysis to adjust for nonparticipation and to compare the results to a regression analysis. In general, more variables are significant in each of the analyses based upon gender and birth order of the children. More importantly, the additional variables go beyond whether the day was a schoolday and the age of the child. The past failure of children's time spent in household work to change with differences in their families' characteristics appears to have been an artifact of not accounting for nonparticipation when estimating marginal effects.Her current research interests include use of clothes washers and family members' time use. She received her Ph.D. from Cornell University.She is currently conducting research in the areas of home-based employment and small family businesses.     

Hungary: a health system in transition

Hungary has an area of 93,030 square kilometers (35,900 square miles), the size of the state of Indiana in the United States. It is landlocked by the Czech Republic and the Slovak Republic to the north, Austria to the west, Yugoslavia to the south, and Romania and the Soviet Union to the east. Although the health care system is based on the Soviet system, there have been dramatic changes since 1991, when the soviet Union and its Eastern European partners discarded their communist structures and the Soviet empire was disbanded. In this report, the current Hungarian health care system and the political structure in which it is housed will be described in terms of a key set of characteristics and their subparts. The purpose of this approach is to facilitate comparison of the Hungarian system with other national health care systems. An expanded version of this article will appear in an upcoming second edition of the College's book, International Health Care: A Framework for Comparing National Health Care Systems, by Drs. Mendoza and Henderson.     

Psychotropic Drug Use Among College Students: Patterns of Use,Misuse, and Medical Monitoring

Abstract

Objective: To assess whether college students who use psychotropic drugs are (1) aware of potential side effects, (2) appropriately monitored by prescribing physicians, and (3) taking medications as prescribed. Participants: Fifty-five college students, currently taking psychotropic medications, were recruited between Summer 2008 and Fall 2009. Methods: Participants were given interviews assessing (1) interactions with prescribing physicians, (2) patterns of psychotropic drug use, and (3) Diagnostic and Statistical Manual of Mental Disorders Fourth Edition (DSM-IV) substance use disorders. Results: Twenty-five percent of participants did not remember being assessed for suicidal ideation. A large number of participants took their medications in different quantities or frequencies than prescribed and 35% of participants met DSM criteria for substance dependence. Conclusions: Many students are misusing psychotropic medications and this misuse is not being communicated with prescribing physicians.     

The cost of children. Part I

Using pre-war surveys of expenditure an attempt is made to assess the effect of the addition of one or more children on the distribution of expenditure. It is found that the changes between broad groups are small. The chief effect is an increased expenditure in the larger families on food and children's clothing, compensated by reduced expenditure on luxuries and adult clothing. It is confirmed that expenditure on accommodation does not rise with family size.     

Analysis of covariance in mixed models with unequal subclass numbers

Blue of estimable linear functions and exact tests of hypotheses concerning such functions usually do not exist in the covariance model with random factors having unknown variances. This is true even in the equal subclass numbers case. This paper suggests alternative methods for finding linear unbiased estimators and presents methods for computing sampling variances which are linear functions of the unknown parameter variances. Also, higher level covariates are defined and nonestimability problems resulting from association of such covariates with fixed factors are discussed.     

An Examination of the Association Between Relationship Mindfulness and Psychological and Relational Well-being in Committed Couples

Relationship mindfulness is the degree to which individuals tend to be mindful during interactions with romantic partners. In this study, we examined both the intrapersonal and interpersonal links between relationship mindfulness and psychological and relationship functioning in a sample of 219 couples who had been in their relationship for at least 1 year. Even when accounting for the general tendency to be mindful, relationship mindfulness was linked with markers of relationship well-being and psychological functioning, both intrapersonally and interpersonally. The findings bring to light the importance of considering relationship mindfulness in clinical work with couples that focuses on addressing deficiencies in relationship or psychological well-being.     

Face Preferences for Infant‐ and Adult‐Directed Speakers in Infants of Depressed and Nondepressed Mothers: Association with Infant Cognitive Development

Face preferences for speakers of infant‐directed and adult‐directed speech (IDS and ADS) were investigated in 4‐ to 13.5‐month‐old infants of depressed and nondepressed mothers. Following 1 min of exposure to an ID or AD speaker (order counterbalanced), infants had an immediate paired‐comparison test with a still, silent image of the familiarized versus a novel face. In the test phase, ID face preference ratios were significantly lower in infants of depressed than nondepressed mothers. Infants' ID face preference ratios, but not AD face preference ratios, correlated with their percentile scores on the cognitive (Cog) scale of the Bayley Scales of Infant & Toddler Development (3rd Edition; BSID‐III), assessed concurrently. Regression analyses revealed that infant ID face preferences significantly predicted infant Cog percentiles even after demographic risk factors and maternal depression had been controlled. Infants may use IDS to select social partners who are likely to support and facilitate cognitive development.