为什么历史上经营式农业不发展：以无锡为案例

本文基于第一、二次对"无锡、保定农村调查"的资料,分析说明了无锡农村经营式农业的日渐式微,并从出租农地与雇工经营的收益方程、较高工商业发展水平导致的机会成本增加,以及家庭小农场的竞争三个方面分析了经营式农业不发展的原因.我们认为,主要是当地较高但又不足够高的工商业发展水平导致了经营式农业难以发展.较高的工商业发展水平意味着发展经营式农业的高运营成本和高机会成本.不足够高又使得非农产业的需求与人数众多的农业过剩劳动力不相匹配,从而造成了家庭小农场和经营式农场之间的激烈对抗.我们也认为,中国未来的农业农村现代化道路可能会依然呈现出复杂性和特殊性,家庭小农场扮演的角色可能仍然不容忽视.     

Women’s reports of satisfaction and respect with continuity of care experiences by students: Findings from a routine,online survey

BackgroundPre-registration midwifery students in Australia undertake a minimum of ten continuity of care experiences with childbearing women. However, women are rarely asked to formally evaluate this care by students.AimTo evaluate data from a routine, web-based survey of women about having a midwifery student provide a continuity of care experience.MethodsAll women (n = 886) recruited by a midwifery student for a continuity of care experience during a 12 month period received an email inviting them to complete an online survey. The survey included personal details, experiences of care, and two scales on Respect and Satisfaction.ResultsA response rate of 57% (n = 501) was achieved. On average students attended six antenatal visits (mean = 5.83) and had six postnatal contacts with women. Most students attended labour and birth (92.6% n = 464). Most women rated overall satisfaction with care by their student as ‘better than they had hoped’. Positive correlations were found between number of antenatal visits and postnatal contact with students on both levels of satisfaction and respect felt by women. Women felt more satisfied when their midwifery student attended labour and birth.ConclusionsThe online survey was feasible and provided valid and reliable feedback from women about their student during a continuity of care experience. Women valued having an ongoing relationship with a student during pregnancy, labour and birth, and postpartum. Pre-registration midwifery education programs should continue to privilege relationship-based care and national standards should support the effective integration of continuity of care experiences.     

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.     

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.     

立足中国 借鉴国外 创建中国特色社会调查学

中国是世界上开展社会调查最早的国家之一中国共产党是世界上社会调查经验教训最丰富的政党西方现代社会研究方法的引进,既取得了历史性成就.又存在着许多问題中国至今尚未形成充分体现自己特色的社会调查学必须立足中国,借签国外.在马克思主义指导下,在中国社会主义现代化建设实践和中国社会调查史实基础上,正确处理“马克思主义与中国、西方的关系”“历史与理论、方法的关系”“现实与历史、虚拟的关系”以下简称“马中西”“史论法”“实史虚”关系融通古今中外各种资源,创建充分体现中国特色、中阒风格、中国气派的社会调查学。     

Investigating the impact of violations of the “left and top means first” heuristic on response behavior and data quality

ABSTRACT

Web surveys are an established data collection mode that use written language to provide information. The written language is accompanied by visual elements, such as presentation formats and shapes. However, research has shown that visual elements influence response behavior because respondents sometimes use interpretive heuristics to make sense of the visual elements. One such heuristic is the ‘left and top means first’ (LTMF) heuristic, which suggests that respondents tend to believe that a response scale consistently runs from left to right or from top to bottom. We conducted a web survey experiment to investigate how violations of the LTMF heuristic affect response behavior and data quality. For this purpose, a random half of respondents received response options that followed a consistent order and the other half received response options that followed an inconsistent order. The results reveal significantly different response distributions between the two groups. We also found that inconsistently ordered response options significantly increase response times and decrease data quality in terms of criterion validity. We, therefore, recommend using options that follow the design strategies of the LTMF heuristic.     

National Culture on the Cross-National Variation of Homicide: An Empirical Application of the Inglehart–Welzel Cultural Map

Although there has been a growing literature on the effects of culture on the cross-national variation of homicide, this literature remains limited in the operationalization of national culture as well as in the modeling of the cultural effects. Adopting a multidimensional measure of national culture developed in the World Values Survey, this study examines the effects of various aspects of national culture, as well as their interaction, on the cross-national variation of homicide. The findings of this study provide evidence for the effect of national culture on homicide variation across countries while painting a more complex picture about the potential mechanisms of these effects.     

Churning races in Canada: Visible minority response change between 2006 and 2011

Why do most people have stable responses to census race questions, while some do not? Using linked Canadian data, we examine personal, social, and economic characteristics that predict response stability as White or as one of six large visible minority groups, versus a change in response to/from White or to/from another visible minority group. Response change rates in Canada are generally comparable to those in the US, UK, and New Zealand. Likely reflecting the centuries-old hegemony of Whites in these countries, White is the most stable response group in Canada as well as the US, UK, and New Zealand. Multiple-race response groups are among the newest and least stable response groups. Social statuses and experiences (mixed ethnic heritage, immigration status, and exposure to own-group members) are generally more predictive of race response stability and change than economic (income level and change in income) or personal statuses (education, age). This highlights the socially-constructed nature of race group boundaries. Joining and leaving a group are often predicted by the same status/characteristic and in the same direction, hinting that the status/characteristic adds complexity to the race-related experiences of constituents.     

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.     

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.