Parental Strains and Rewards Among Mothers: The Role of Education

Using data from the NICHD Study of Early Child Care and Youth Development (N = 1,198), this study examines the associations between education and parental strains and rewards among mothers of young children. Findings indicate that a college degree or more is related to less parenting anxiety, but more role captivity, and less new life meaning from parenting than lower levels of education. Differences by education are partly explained by variation in levels of progressive parenting values and work commitment, but remain significant. These patterns indicate that education provides greater resources that ease parental anxiety, but also leads to greater perceived demands of having a successful career, which contribute to more role captivity and less new life meaning from parenting.     

Empirical geodesic graphs and CAT(k) metrics for data analysis

Statistics and Computing - A methodology is developed for data analysis based on empirically constructed geodesic metric spaces. For a probability distribution, the length along a path between two...     

Randomized confidence intervals of a parameter for a family of discrete exponential type distributions

For a family of one-parameter discrete exponential type distributions, the higher order approximation of randomized confidence intervals derived from the optimum test is discussed. Indeed, it is shown that they can be asymptotically constructed by means of the Edgeworth expansion. The usefulness is seen from the numerical results in the case of Poisson and binomial distributions.     

Change in Work‐Family Conflict Among Employed Parents Between 1977 and 1997

Using data from two national surveys (N = 2,050), this paper examines what accounts for the increase in the sense of work‐family conflict among employed parents between 1977 and 1997. Decomposition analysis indicates that the increases in women’s labor force participation, college education, time pressure in completing one’s job, and the decline in free time were related to the increase. Fathers in dual‐earner marriages experienced a particular increase in work‐family conflict. With the same amount of time spent with children, parents felt greater work‐family conflict in 1997 than in 1977. Although masked by the overall increase, some trends, such as the increases in intrinsic job rewards, time with children, and egalitarian gender attitudes, contributed to a decline in work‐family conflict.     

Maternal Employment,Nonparental Care,Mother‐Child Interactions,and Child Outcomes During Preschool Years

This study examines the relationships between maternal employment, nonparental care, mother‐child interactions, and preschoolers’ outcomes. Data from the Canadian National Longitudinal Survey of Children and Youth (N= 1,248) show that maternal employment during the previous year, especially full‐time employment, was related to care by nonrelatives, longer hours in school settings, fewer positive mother‐child interactions, and less reading with parents at ages 2 and 4. Controlling for these mediators, maternal employment was related to children’s lower hyperactivity, more prosocial behavior, and less anxiety at age 4, although little relationship was found at age 2. The results indicate that preschoolers may benefit from maternal employment, but benefits may be offset by long hours of nonparental care and fewer positive mother‐child interactions.     

A Qualitative Study of Buddhist Altruistic Behavior

Mahāyāna devotees assert that helping other people is the practice of the bodhisattva path. This qualitative inquiry explores how Buddhists apply the bodhisattva spirit in modern society. It recruited 38 participants for in-depth interviews and analyzed data using interpretative phenomenological analysis, with the aid of ATLAS.ti 7, a software package. Its rigor is warranted by different levels of triangulation, including member checking and peer analysis at an interrater reliability of 92%. The lived experience of participants reveals that Buddhist altruistic behavior enables helpers to accomplish personal growth and, conclusively, self-benefiting altruism that is motivated by the enlightened mind and the four immeasurables. These attributes not only indicate the practicability of bodhisattva spirit, but also inspire civic participants how to encourage social integration that constructs and sustains an inclusive society.     

Climigration? Population and climate change in Arctic Alaska

Residents of towns and villages in Arctic Alaska live on “the front line of climate change.” Some communities face immediate threats from erosion and flooding associated with thawing permafrost, increasing river flows, and reduced sea ice protection of shorelines. The term climigration, referring to migration caused by climate change, originally was coined for these places. Although initial applications emphasized the need for government relocation policies, it has elsewhere been applied more broadly to encompass unplanned migration as well. Some historical movements have been attributed to climate change, but closer study tends to find multiple causes, making it difficult to quantify the climate contribution. Clearer attribution might come from comparisons of migration rates among places that are similar in most respects, apart from known climatic impacts. We apply this approach using annual 1990–2014 time series on 43 Arctic Alaska towns and villages. Within-community time plots show no indication of enhanced out-migration from the most at-risk communities. More formally, there is no significant difference between net migration rates of at-risk and other places, testing several alternative classifications. Although climigration is not detectable to date, growing risks make either planned or unplanned movements unavoidable in the near future.     

Readouts for echo-state networks built using locally regularized orthogonal forward regression

Echo state network (ESN) is viewed as a temporal expansion which naturally give rise to regressors of various relevance to a teacher output. We illustrate that often only a certain amount of the generated echo-regressors effectively explain the teacher output and we propose to determine the importance of the echo-regressors by a joint calculation of the individual variance contributions and Bayesian relevance using the locally regularized orthogonal forward regression (LROFR). This information can be advantageously used in a variety of ways for an analysis of an ESN structure. We present a locally regularized linear readout built using LROFR. The readout may have a smaller dimensionality than the ESN model itself, and improves robustness and accuracy of an ESN. Its main advantage is ability to determine what type of an additional readout is suitable for a task at hand. Comparison with PCA is provided too. We also propose a radial basis function (RBF) readout built using LROFR, since flexibility of the linear readout has limitations and might be insufficient for complex tasks. Its excellent generalization abilities make it a viable alternative to feed-forward neural networks or relevance-vector-machines. For cases where more temporal capacity is required we propose well studied delay&sum readout.     

Variable selection via the weighted group lasso for factor analysis models

We consider the problem of selecting variables in factor analysis models. The $L_1$ regularization procedure is introduced to perform an automatic variable selection. In the factor analysis model, each variable is controlled by multiple factors when there are more than one underlying factor. We treat parameters corresponding to the multiple factors as grouped parameters, and then apply the group lasso. Furthermore, the weight of the group lasso penalty is modified to obtain appropriate estimates and improve the performance of variable selection. Crucial issues in this modeling procedure include the selection of the number of factors and a regularization parameter. Choosing these parameters can be viewed as a model selection and evaluation problem. We derive a model selection criterion for evaluating the factor analysis model via the weighted group lasso. Monte Carlo simulations are conducted to investigate the effectiveness of the proposed procedure. A real data example is also given to illustrate our procedure. The Canadian Journal of Statistics 40: 345–361; 2012 © 2012 Statistical Society of Canada