The role of social capital in the job-related regional mobility decisions of unemployed individuals

Social capital is an important factor in interregional mobility. Although most prior research has focused on its role in the job-finding process, this study investigates the function of social networks and the social capital embedded therein after an interregional job offer has been received. This subject is particularly important for the unemployed, who should be able to exploit a mobility strategy to re-enter the labour market. Unemployed persons rely on their social networks to cope with joblessness, but there is evidence that social contexts can also act as mobility traps for this group (Windzio, 2004). We examine whether the unemployed weight social capital in a unique manner when making decisions regarding mobility.To investigate these issues, we combine a factorial survey module (FSM) with data from the German “Labour market and social security” (PASS) panel study to generate representative samples of both unemployed and employed persons with a randomised mobility stimulus in the form of hypothetical interregional job offers. Our results reveal the mobilising effects of exposure to conflict-laden relationships with the social network and the household. These are particularly pronounced for unemployed persons, highlighting the importance of factors that influence decision making about mobility beyond simple economic considerations.     

Generating synthetic data to produce public-use microdata for small geographic areas based on complex sample survey data with application to the National Health Interview Survey

Small area statistics obtained from sample survey data provide a critical source of information used to study health, economic, and sociological trends. However, most large-scale sample surveys are not designed for the purpose of producing small area statistics. Moreover, data disseminators are prevented from releasing public-use microdata for small geographic areas for disclosure reasons; thus, limiting the utility of the data they collect. This research evaluates a synthetic data method, intended for data disseminators, for releasing public-use microdata for small geographic areas based on complex sample survey data. The method replaces all observed survey values with synthetic (or imputed) values generated from a hierarchical Bayesian model that explicitly accounts for complex sample design features, including stratification, clustering, and sampling weights. The method is applied to restricted microdata from the National Health Interview Survey and synthetic data are generated for both sampled and non-sampled small areas. The analytic validity of the resulting small area inferences is assessed by direct comparison with the actual data, a simulation study, and a cross-validation study.     

Barriers to Managing Coronary Artery Disease Among Older Women

Numerous barriers to managing coronary artery disease (CAD) among older women are reported in the literature; however, few studies adjust for demographic and health status differences. A survey assessing barriers and other factors was distributed to a stratified random sampling of older women with CAD. Factor analysis and multiple logistic regression procedures were used to estimate the impact of these issues on receiving a CAD-related office visit. The most problematic barriers included denial and low health literacy. Efforts to promote patient awareness of heart health and better communication between patients and clinicians may alleviate these barriers.     

黄山市音乐考级的现状调查与研究

音乐考级是对音乐能力进行的分级考试。黄山市作为皖南山城,具有浓厚的徽州文化底蕴,在当地老百姓的观念中学习艺术是旁门左道,自从十年前第一个音乐考级点建立起,至今已有三个考级单位,参与培训并获得考级证书的学员近万人。极大程度上推动了黄山市素质教育的发展,更新了老百姓的传统观念。本文通过对黄山市音乐考级现状的调查与分析,了解本市音乐考级这一机制的运行情况,总结音乐考级带来的成效以及存在的不良发展趋向,提出解决弊端的方法并对黄山市音乐考级未来发展提出建设性的建议。     

Small area estimation strategies for large population surveys: a comparison of design and model-based methods

Small area estimation (SAE) concerns with how to reliably estimate population quantities of interest when some areas or domains have very limited samples. This is an important issue in large population surveys, because the geographical areas or groups with only small samples or even no samples are often of interest to researchers and policy-makers. For example, large population health surveys, such as Behavioural Risk Factor Surveillance System and Ohio Mecaid Assessment Survey (OMAS), are regularly conducted for monitoring insurance coverage and healthcare utilization. Classic approaches usually provide accurate estimators at the state level or large geographical region level, but they fail to provide reliable estimators for many rural counties where the samples are sparse. Moreover, a systematic evaluation of the performances of the SAE methods in real-world setting is lacking in the literature. In this paper, we propose a Bayesian hierarchical model with constraints on the parameter space and show that it provides superior estimators for county-level adult uninsured rates in Ohio based on the 2012 OMAS data. Furthermore, we perform extensive simulation studies to compare our methods with a collection of common SAE strategies, including direct estimators, synthetic estimators, composite estimators, and Datta GS, Ghosh M, Steorts R, Maples J.'s [Bayesian benchmarking with applications to small area estimation. Test 2011;20(3):574–588] Bayesian hierarchical model-based estimators. To set a fair basis for comparison, we generate our simulation data with characteristics mimicking the real OMAS data, so that neither model-based nor design-based strategies use the true model specification. The estimators based on our proposed model are shown to outperform other estimators for small areas in both simulation study and real data analysis.     

Deriving Behavior Model Parameters from Survey Data: Self‐Protective Behavior Adoption During the 2009–2010 Influenza A(H1N1) Pandemic

In this paper, we demonstrate how public opinion surveys can be designed to collect information pertinent to computational behavior modeling, and we present the results of a public opinion and behavior survey conducted during the 2009–2010 H1N1 influenza pandemic. The results are used to parameterize the Health Belief Model of individual health‐protective decision making. Survey subjects were asked questions about their perceptions of the then‐circulating influenza and attitudes towards two personal protective behaviors: vaccination and avoidance of crowds. We empirically address two important issues in applying the Health Belief Model of behavior to computational infectious disease simulation: (1) the factors dynamically influencing the states of the Health Belief Model variables and (2) the appropriateness of the Health Belief Model in describing self‐protective behavior in the context of pandemic influenza.     

Intimate Violence in Lesbian Relationships

This paper describes the findings of a survey of 1109 lesbians who attended the Women's Music Festival held in Michigan in carly August 1985. The primary objectives of the study were to document the incidence of domestic violence in a non-random sample of lesbian relationships; to identify and describe the types of domestic violence experienced and/or perpetrated; and to ascertain thc availability and accessibility of community helping resources to survivors and perpetrators after an abusive episode. Comparisons with domestic violence in heterosexual relationships are also made, followed by a discussion on the research and practice implications of the findings.     

兰州城关区回族居住格局研究

本文运用都市人类学的研究方法,对兰州市城关区回族的居住格局进行了研究。研究表明,随着民族迁移、社会发展、城市化进程的加快,聚居区转变为杂居区,以及城区边缘地带出现的新聚居区,这种变化还在进行之中。这种居住格局的变化虽然促进了民族团结、社会安定与发展,但是也出现了一些新问题。为此,本文对未来回族的居住格局进行了初步设想。     

Eye-tracking methodology: exploring the processing of question formats in web surveys

In social research, the use of agree/disagree (A/D) questions is a popular method for measuring attitudes. Research has shown that A/D questions require complex cognitive processing and are susceptible to response bias. Thus, some researchers recommend the use of item-specific (IS) questions. This study examines the processing of A/D and IS questions, using eye-tracking methodology. By recording respondents’ eye movements, how respondents process survey questions can be evaluated. The results reveal that IS questions cause more and longer fixations. However, this only applies to the response categories. There are no differences regarding the question stems. Altogether, it seems that IS response categories trigger deeper cognitive processing than A/D response categories.     

The Gender Gap in Orgasms: Survey Data from a Mid-Sized Canadian City

Objective: Previous research has established a gap in orgasm frequency between men and women. This study investigates explanations for the gender gap in orgasm. Methods: Crosstab analysis and logistic regression are used to examine the gender gap in orgasms from one Canadian city: Hamilton, Ontario (N = 194). Results: We find a strong association between women’s orgasms and the type of sexual behavior in which partners engage. Women who receive oral sex are more likely to reach orgasm. Conclusion: Sexual practices focused on clitoral stimulation are important to reducing the gender gap in orgasms.