Variance estimation for the 2006 French housing survey

In the 2006 French housing survey, information is collected on many aspects of housing to describe the housing stock in France and the housing conditions of French households. The basic national sample results from a multistage sampling design. Complementary samples were selected to perform accurate estimations for socio-demographic domains. Some French regions proceeded to a regional and local extension of the national sample. The variance is estimated for a region with a regional and local extension of the basic national sample.     

Improved randomized response in additive scrambling models

Randomized response models deal with stigmatizing variables appearing in health surveys. Additive and subtractive scrambling in split sample and double response yield unbiased mean and sensitivity estimators of high precision. The split sample method is protective of privacy. The double response method is as protective only conditionally. To achieve the maximum efficiency, the scrambling variables must be similar to each other and the probability of obtaining a true response must be as large as possible. The randomized response procedures yield more efficient estimates of the average total number of classes missed by university students.     

The reality of net capital gains and annual profit on NZ primary producing businesses: data from a recent survey of all farm types

ABSTRACT

Annual net cash returns and net capital gains provide farmers with their actual and potential monetary rewards, respectively. This article reports on a national farm survey showing both actual and potential returns, on average, are not as high as might be imagined. This is supported by the findings of earlier studies and has implications for rural societies and their associated economies. Data on income, expenses and profit is presented as is data on farm value changes over the life of each farm. The information is adjusted for inflation to provide ‘real’ data. The profit and net capital gain figures are divided into groupings based on a range of criteria such as total farm capital, and labour compliment as a reflection of farm size. Statistically significant differences occur for some groupings such as farm type and farm size.     

Young adult poverty in historical perspective: The role of policy supports and early labor market experiences

Recent research using an improved measure of poverty finds that poverty has fallen by nearly forty percent since the 1960s in the United States. But past research has not examined whether this finding holds across detailed demographic groups who might be more or less vulnerable to poverty. This paper helps fill that gap, focusing on one such vulnerable subgroup: young adults. Using the Current Population Survey, this paper examines long-term trends in young adult poverty in comparison to other groups. In contrast to almost all other groups, young adults have seen no decrease in poverty since the 1960s. We explore potential reasons for this fact, finding that young adults lack access to benefits from government programs, and are increasingly unmarried, living alone, and disconnected from the labor market, factors that leave young adults more vulnerable than other groups to poverty. The findings have implications for how antipoverty policies might assist this vulnerable group.     

Finite mixture of regression models for a stratified sample

Despite the popularity and importance, there is limited work on modelling data which come from complex survey design using finite mixture models. In this work, we explored the use of finite mixture regression models when the samples were drawn using a complex survey design. In particular, we considered modelling data collected based on stratified sampling design. We developed a new design-based inference where we integrated sampling weights in the complete-data log-likelihood function. The expectation–maximisation algorithm was developed accordingly. A simulation study was conducted to compare the new methodology with the usual finite mixture of a regression model. The comparison was done using bias-variance components of mean square error. Additionally, a simulation study was conducted to assess the ability of the Bayesian information criterion to select the optimal number of components under the proposed modelling approach. The methodology was implemented on real data with good results.     

‘Refugees welcome?’ The interplay between perceived threats and general concerns on the acceptance of refugees – a factorial survey approach in Germany

The on-going migration of refugees to Europe has fuelled debates about the indigence of refugees and the perceived legitimacy of individual claims for asylum in different receptive countries. With a substantial body of research that has investigated the antecedents of attitudes towards immigrants, evidence on whether those underlying assumptions hold true for refugees as well remains scarce. The paper applies the framework of Intergroup Threat Theory to arrive at competing hypotheses with regard to the acceptance levels of refugees. We use pooled data from two probabilistic samples drawn in the German city of Dresden and apply a confounded factorial survey design to extend previous research on attitudes towards refugees. We find that natives perceive political persecution and war as justified reasons for seeking asylum in Germany, while socio-demographic characteristics of respondents and refugees are of minor importance. Foremost, the individual level of respondent’s fear of crime represents a crucial moderator of the perception of refugees as threatening.     

Factors That May Influence Parent Treatment Decision Making for Young Children with Autism Spectrum Disorder

ABSTRACT

The number of interventions available for children with autism spectrum disorder (ASD) has expanded greatly in recent years, although relatively little is known about the factors that influence family caregivers as they make treatment decisions for their children. This study involved a statewide survey of parents of young children with ASD to examine the relative weights of the factors that influenced their treatment decisions. Results suggested that caregivers rely on their own intuition for much decision making, although selected professionals are also influential. Implications for professionals working with children with ASD and their families are discussed.     

Keeping Surveys Valid,Reliable, and Useful: A Tutorial

This tutorial focuses on how to produce reliable and generalizable data from random‐digit‐dialing (RDD) landline and cell phone surveys. The article notes that RDD response rates have declined and explores the impact of this pronounced decline. The tutorial addresses order, response mode, and many other biases, sample size, cooperation and response rates, weighting, and hybrid designs‐all using examples from risk analysis to illustrate the key points. The article ends with a brief review of the advantages and disadvantages of major Internet and paper surveys tools, and how these can be molded and sometimes combined in repeated, longitudinal, and other designs to answer questions about risk preferences and perceptions.     

Who Is the Residential Parent? Understanding Discrepancies in Unmarried Parents' Reports

Research examining parental reports of children's living arrangements has often relied on information about legally ordered custody agreements following divorce. This analysis used data from matched pairs of parents (N = 1,156) in the Fragile Families and Child Wellbeing Study who live apart to compare mother and father reports of their child's residence 5 years after a nonmarital birth. The authors found that over one third of unmarried parents disagreed about who their child lived with and that conflicting reports were much more likely when fathers spent nights with the mother (an indicator of part‐time cohabitation) and had overnights with the child on their own. The results further suggest that discrepancies in unmarried parents' reports were more closely associated with the complexity and ambiguity of their living situations than with the quality of their relationships with each other. Implications for measuring children's living arrangements in families formed outside of marriage are discussed.