Early Parental Positive Behavior Support and Childhood Adjustment: Addressing Enduring Questions with New Methods

A large literature provides strong empirical support for the influence of parenting on child outcomes. The current study addresses enduring research questions testing the importance of early parenting behavior to children's adjustment. Specifically, we developed and tested a novel multi‐method observational measure of parental positive behavior support at age 2. Next, we tested whether early parental positive behavior support was related to child adjustment at school age, within a multi‐agent and multi‐method measurement approach and design. Observational and parent‐reported data from mother–child dyads (N = 731; 49 percent female) were collected from a high‐risk sample at age 2. Follow‐up data were collected via teacher report and child assessment at age 7.5. The results supported combining three different observational methods to assess positive behavior support at age 2 within a latent factor. Further, parents' observed positive behavior support at age 2 predicted multiple types of teacher‐reported and child‐assessed problem behavior and competencies at 7.5 years old. Results supported the validity and predictive capability of a multi‐method observational measure of parenting and the importance of a continued focus on the early years within preventive interventions.     

Modeling Longitudinal Obesity Data with Intermittent Missingness Using a New Latent Variable Model

We propose a latent variable model for informative missingness in longitudinal studies which is an extension of latent dropout class model. In our model, the value of the latent variable is affected by the missingness pattern and it is also used as a covariate in modeling the longitudinal response. So the latent variable links the longitudinal response and the missingness process. In our model, the latent variable is continuous instead of categorical and we assume that it is from a normal distribution. The EM algorithm is used to obtain the estimates of the parameter we are interested in and Gauss–Hermite quadrature is used to approximate the integration of the latent variable. The standard errors of the parameter estimates can be obtained from the bootstrap method or from the inverse of the Fisher information matrix of the final marginal likelihood. Comparisons are made to the mixed model and complete-case analysis in terms of a clinical trial dataset, which is Weight Gain Prevention among Women (WGPW) study. We use the generalized Pearson residuals to assess the fit of the proposed latent variable model.     

Consequences of Eye Color,Positioning, and Head Movement for Eye‐Tracking Data Quality in Infant Research

Eye tracking has become a valuable tool for investigating infant looking behavior over the last decades. However, where eye‐tracking methodology and achieving high data quality have received a much attention for adult participants, it is unclear how these results generalize to infant research. This is particularly important as infants behave different from adults in front of the eye tracker. In this study, we investigated whether eye physiology, positioning, and infant behavior affect measures of eye‐tracking data quality: accuracy, precision, and data loss. We report that accuracy and precision are lower, and more data loss occurs for infants with bluish eye color compared to infants with brownish eye color. Moreover, accuracy was lower for infants positioned in a high chair or in the parents' lap compared to infants positioned in a baby seat. Finally, precision decreased and data loss increased as a function of time. We highlight the importance of data quality when comparing multiple groups, as differences in data quality can affect eye‐tracking measures. In addition, we investigate how two different measures to quantify infant movement influence eye‐tracker data quality. These findings might help researchers with data collection and help manufacturers develop better eye‐tracking systems for infants.     

The Differential Earnings and Income Effects of Involuntary Job Loss on Workers with Disabilities — Evidence from Sweden

People with disabilities are consistently found to face considerable difficulties in the labour market. In this study we investigated whether their earnings and income trajectories are more adversely affected in case of involuntary job loss. Earnings of those with and without disabilities began to diverge already several years prior to job loss because of larger incidence of sickness. Following job loss much more job losers with disabilities became disability retirees resulting in a considerable and seemingly permanent earnings differential. However, larger uptake of public social insurances among job losers with disabilities resulted in a much smaller income differential.     

中国城乡迁移对代际经济支持的影响——基于社会性别视角的研究

中国城乡迁移带来的家庭结构的改变有可能影响中国农村传统的家庭观念和养老方式。文章利用深圳市外来农村流动人口调查数据,分析深圳市外来已婚农村打工者的性别因素对流动后其对仍生活在农村的父母及配偶父母的经济支持的影响。结果显示,男女打工者在流动后都增加了对父母的经济支持,但女性打工者在流动后更可能增加给配偶父母的经济支持。这一结果说明,依靠儿子养老的传统养老模式仍然占主导地位,但外出打工女性正在缩小这种社会性别差异。     

Ein Ansatz zur Verbesserung der Steuerung des Zahlungsausfallrisikos im E-Commerce (B-to-C)

In recent years, the situation of e-commerce in Germany especially in the retail sector has not only been characterized by a sustained growth in sales but also by an increase in deficits in payment. Companies considering a general exclusion of risky payment methods to be suboptimal are challenged by an adequate assessment of their prospective customers’ risk of payment default. Thereby, inability and unwillingness to pay has to be considered as possible reasons on a transactional basis and in real-time. This paper presents a new approach combining common methods for risk identification and assessment. Case studies show that a more sophisticated risk control can be achieved by applying the approach presented.     

Estimating the Prevalence of Hard-to-Reach Populations: The Illustration of Mark-Recapture Methods in the Study of Homelessness

This paper assesses the potential of mark-recapture methods as a relatively powerful innovative research method for estimating the prevalence of "hard-to-reach"human populations in the social welfare field. We outline the development of mark-recapture methods, illustrating some recent applications. The body of the paper reviews the main methodological and practical questions raised by the method. We suggest, by way of illustration, how it might be applied to estimating the prevalence of rough sleepers in a given geographical region.