The Chameleon Effect as Social Glue: Evidence for the Evolutionary Significance of Nonconscious Mimicry

The chameleon effect refers to the tendency to adopt the postures, gestures, and mannerisms of interaction partners (Chartrand & Bargh, 1999). This type of mimicry occurs outside of conscious awareness, and without any intent to mimic or imitate. Empirical evidence suggests a bi-directional relationship between nonconscious mimicry on the one hand, and liking, rapport, and affiliation on the other. That is, nonconscious mimicry creates affiliation, and affiliation can be expressed through nonconscious mimicry. We argue that mimicry played an important role in human evolution. Initially, mimicry may have had survival value by helping humans communicate. We propose that the purpose of mimicry has now evolved to serve a social function. Nonconscious behavioral mimicry increases affiliation, which serves to foster relationships with others. We review current research in light of this proposed framework and suggest future areas of research.     

Optimal Estimator for Logistic Model with Distribution‐free Random Intercept

Logistic models with a random intercept are prevalent in medical and social research where clustered and longitudinal data are often collected. Traditionally, the random intercept in these models is assumed to follow some parametric distribution such as the normal distribution. However, such an assumption inevitably raises concerns about model misspecification and misleading inference conclusions, especially when there is dependence between the random intercept and model covariates. To protect against such issues, we use a semiparametric approach to develop a computationally simple and consistent estimator where the random intercept is distribution‐free. The estimator is revealed to be optimal and achieve the efficiency bound without the need to postulate or estimate any latent variable distributions. We further characterize other general mixed models where such an optimal estimator exists.     

Addressing the midwifery workforce crisis: evaluating an employment model for undergraduate midwifery students at a tertiary maternity hospital in Melbourne, Australia

Background and aims

In Victoria, maternity services are under significant strain due to increased numbers of women giving birth and critical workforce shortages. Hospitals have experienced challenges in adequately staffing maternity units, particularly on postnatal wards. In 2008, a tertiary maternity hospital in Melbourne introduced a model where undergraduate midwifery students were employed as Division 2 nurses (SMW_Div2) (enrolled nurses), to work in the postnatal area only. This study explored the pilot employment model from the perspective of the SMW_Div2 and hospital midwives.

Methods

A web-based survey was administered to hospital midwives and the SMW_Div2s in the employment model in January 2010. The survey explored the views of midwives and SMW_Div2s regarding the perceived impact of the model on workforce readiness, recruitment and retention, and clinical competence and confidence.

Findings

Forty-seven of 158 midwives (30%) and five of nine SMW_Div2s employed in the model responded to the survey. Both groups considered the model to have benefits for the organisation, including increased: student workforce readiness; clinical confidence and competence; and organisational loyalty. Both groups also considered that the model would facilitate: workforce recruitment; a teaching and learning culture within the organisation; and enhanced partnerships between students, hospitals and universities. Caution was expressed regarding workload and the need for ongoing support for SMW_Div2s working in the model.

Discussion and conclusion

SMW_Div2s and midwives were positive about the introduction of the paid employment model at the Women's. The findings are consistent with evaluations of similar programs in the nursing setting. The employment model has potential short and long term individual and organisational advantages, which is important in the context of increasing births and workforce shortages. Progression of such models will be contingent on the collaboration and cooperation of the various stakeholders involved in maternity workforce and education.     

Parent–youth communication to reduce at-risk sexual behavior: A systematic literature review

There are nearly 110 million cases of sexually transmitted infections (STIs) in the United States. The Centers for Disease Control and Prevention estimate that annually there are more than 19.7 million new STI cases. Of those, more than half are accounted for by youth aged 15–24 years. Although some STIs are not considered to be life threatening, they can lead to severe health problems, risk of HIV infection, or infertility if they are not properly treated. Some research has shown that parent–youth communication can reduce youth’s at-risk sexual behaviors. The following is a systematic review of the literature on parent–youth sexual communication and family-level interventions designed to reduce risky sexual behavior in youth.     

The fiscal and human costs of immigrant detention and deportation in the United States

An extensive body of literature has analyzed the individual impacts and collateral consequences of mass incarceration. However, few studies explore the consequences of a parallel and overlapping system: mass immigration detention and deportation. The last 30 years witnessed a dramatic increase in the number of noncitizens detained in and deported from the United States. Individuals detained under immigration laws are held pending adjudication, often mandatorily, and without many basic constitutional protections. Immigrant detention and deportation impose severe burdens on immigrants and their households and levy significant costs to society—financially, as well as in terms of social capital and community well‐being. Chiefly due to the difficulty in accessing noncitizens in the process of detention and deportation, this system has largely escaped sociological inquiry. This article provides a background for understanding the growth and consequences of detention and deportation in the United States. It reviews the literature on these immigration law enforcement programs and suggests topical and methodological directions for future research.     

A Confluence of Interests in Immigration Enforcement: How Politicians,the Media,and Corporations Profit from Immigration Policies Destined to Fail

The concept of an immigration industrial complex draws from previous work on the prison industrial complex and the military industrial complex. All three of these complexes point to the ways that the interests of government bureaucracies, corporate elites, and politicians shape laws and policies. This article explains how the undocumented status of migrants provides advantages to at least three groups: (a) media pundits who make their careers railing against ‘illegal aliens’; (b) politicians who use undocumented migrants as scapegoats; and (c) contractors who profit from massive immigration enforcement expenditures. The disenfranchised status of undocumented migrants enhances the ability of each of these groups to benefit from their presence. This confluence of interests explains why Congress has not enacted viable immigration policies that effectively deal with the ‘problem’ of illegal immigration. This is the second in a two‐part series on the immigration industrial complex.     

Efficiency improvement in a class of survival models through model-free covariate incorporation

In randomized clinical trials, we are often concerned with comparing two-sample survival data. Although the log-rank test is usually suitable for this purpose, it may result in substantial power loss when the two groups have nonproportional hazards. In a more general class of survival models of Yang and Prentice (Biometrika 92:1–17, 2005), which includes the log-rank test as a special case, we improve model efficiency by incorporating auxiliary covariates that are correlated with the survival times. In a model-free form, we augment the estimating equation with auxiliary covariates, and establish the efficiency improvement using the semiparametric theories in Zhang et al. (Biometrics 64:707–715, 2008) and Lu and Tsiatis (Biometrics, 95:674–679, 2008). Under minimal assumptions, our approach produces an unbiased, asymptotically normal estimator with additional efficiency gain. Simulation studies and an application to a leukemia study show the satisfactory performance of the proposed method.