What Coy Smiles Say About Positive Shyness in Early Infancy

Positive shyness is a universal emotion with the specific social function of regulating our interactions by improving trust and liking, and showing politeness. The present study examined early infant production of coy smiles during social interactions as a measure of positive shy behavior. Eighty 4‐month‐olds were experimentally observed during three types of interactions in front of a mirror in which (1) the infant only sees him or herself, (2) the infant only sees the other person (mother, father, or stranger), and (3) the infant sees both him or herself and the other person. Infants produced more coy smiles during the interaction with a stranger than during the interactions with their mother or their father, or when they could see only themselves in front of a mirror. Infants also produced more coy smiles when they could see their self‐reflection during the interaction than when they could not. Our results support the assumption that coy smiles indicate an early emerging emotional reaction with an important adaptive function during social situations involving novel persons and when special attention is given to the child.     

Migration of Professional Social Workers: Reflections on Challenges and Strategies for Education

International migration of social workers has had, in recent years, a substantial influence on the political agenda of different countries in the world, and is fraught with challenges. In some countries, recruitment of internationally qualified social workers has even become an important strategy to meet staffing demands and to fill shortages in the social work profession. This paper aims to promote debate on the key role of social work educators in assisting social work students and practitioners to practise within both a national and an international context, by reflecting on specific practice examples from Canada, England and South Africa. We explore challenges, as well as possible strategies for adaptation in new contexts, such as the facilitation of additional training, globally comparable social work programmes, and the development of a stronger professional identity, based on integrated social work values. We conclude that by enabling a stronger professional identity through the development of professional virtues, social workers will be empowered to become more confident practitioners and internationally more adaptable.     

Factors Affecting Choice and Satisfaction: Social Work in Turkey

ABSTRACT

The study examines the relationship between professional choices and employment expectations of social worker trainees in the country of Turkey. Professional choices are examined according to gender and the relationship between employment expectations and satisfaction. This study examined responses with a comparative relational scanning model with a sample of 692 social service (social worker) trainees studying at four different universities in Turkey. Students were surveyed and answered 25 open- and closed-ended questions identifying aspects related to their career choice. Study findings reveal that gender, university entrance scores, and employability were high among the career selection factors. Additional factors identified included family-related factors, personality traits, and compatibility. Examination of the findings is discussed, and recommendations for further research are made.     

IASWG Standards for Social Work Practice with Groups: The Case of Quebec Practices

The International Association for Social Work with Groups (IASWG) proposes Standards of social group work that are intended to act as minimum standards that can be applied internationally. The aim of this article is to examine group work practices in Quebec in the light of IASWG Standards. To address this question, secondary analysis of existing data from a study undertaken in Quebec is presented. Results indicate that group work practices in Quebec tend to be rather structured (e.g., selection criteria, norms). The discussion shows that the IASWG Standards are useful for critically examining Quebec practices but also provides information that could contribute to the improvement of these Standards.     

Rehabilitation Programs for Elderly Women Inpatients with Schizophrenia

ABSTRACT

This study aims to describe rehabilitation and resocialization methods we believe to be appropriate for application to female patients with schizophrenia, in a psychiatric unit with a predominantly older population. We briefly describe the unit and the interventions used as an example of the proposed rehabilitation and resocialization methods applied. The article provides an overview to guide accurate intervention, particularly in inpatient women, in different types of cognitive impairment under the broad category of schizophrenia. Our clinical approach includes a token economy approach, cognitive remediation therapy, and social skills training. The token economy intervention is particularly directed to patients that present with a high mental deterioration and/or debility. Cognitive remediation training is applicable to subjects with both cognitive and social dysfunction, but that do not possess signs of an organic cerebral illness or of substance abuse. Social skills training can be the third step to resocialization, training verbal and nonverbal communication competencies.     

Connectivity‐informed adaptive regularization for generalized outcomes

One of the challenging problems in neuroimaging is the principled incorporation of information from different imaging modalities. Data from each modality are frequently analyzed separately using, for instance, dimensionality reduction techniques, which result in a loss of mutual information. We propose a novel regularization method, generalized ridgified Partially Empirical Eigenvectors for Regression (griPEER), to estimate associations between the brain structure features and a scalar outcome within the generalized linear regression framework. griPEER improves the regression coefficient estimation by providing a principled approach to use external information from the structural brain connectivity. Specifically, we incorporate a penalty term, derived from the structural connectivity Laplacian matrix, in the penalized generalized linear regression. In this work, we address both theoretical and computational issues and demonstrate the robustness of our method despite incomplete information about the structural brain connectivity. In addition, we also provide a significance testing procedure for performing inference on the estimated coefficients. Finally, griPEER is evaluated both in extensive simulation studies and using clinical data to classify HIV+ and HIV? individuals.     

International migration and the NGOs working in the field of migration in Turkey

This study aims to analyse the activities and discourses of the non-governmental organizations (NGOs) working in the field of migration in Turkey. The research explores how the NGOs frame the issue of migration differently and how they define and comprehend migration, migrants, and refugees. The article discusses whether the NGOs view refugees as subjects needing help, support, and protection or as actors who have rights and must be empowered and argues that there is tension between the two approaches. These points are discussed through a field study, conducted in 2020 (between February and April), comprising in-depth interviews with representatives of 13 NGOs working in the field of migration. The study points to structural, historical, and conjectural causes and aspects of the weakness of rights-based attitudes and activities among the NGOs working in the field of migration in Turkey. The article finds out that the actions of the NGOs working in the field of migration are concentrated on the basic needs of refugees, and structural limitations, such as political pressure, political polarization, and capacity problems, push the NGOs to evaluate the issue of migration within relatively narrow frames. The article also stresses the importance of an enabling political and legal environment and a coherent and structured communication strategy to promote a rights-based migration agenda.     

Promoting Individual and Social Changes: A Hybrid Model of Social Work with Groups

Taking as a starting point two influential, yet different approaches in group work, that is, the self-directed group work and mutual aid models, this article examines a possible alternative for conducting social work with groups. Drawing from structuration theory, which makes a strong dialectical relation between agency and structure possible, this article highlights how our alternative model could lead to a greater integration of the micro- and macrodimensions in group-work practice. The Discussion section proposes three key principles for group work, namely, a belief in people’s strengths and capacities, a focus on critical thinking, and a concern for the development of a democratic culture in groups. These principles are conveyed through the group worker’s roles as consciousness raiser and process facilitator and provide a flexible and participatory process that can be used with a broad range of service-user groups. The article concludes with a discussion on the strengths and limitations of the model.     

A Generalization of the Univariate Slash by a Scale-Mixtured Exponential Power Distribution

A generalization of the slash distribution is derived using the scale mixture of the exponential power distribution. The newly defined family of distributions provides a rich flexibility on the tail heaviness and yields alternative robust estimators of location and scale in non normal situations. In order to investigate asymptotically the bias properties of the estimators, a simulation study is performed. The performance of the estimators on two well-known real data sets is also illustrated.     

Some factors affecting statistical power of approximate tests in the linear mixed model for longitudinal data

Different longitudinal study designs require different statistical analysis methods and different methods of sample size determination. Statistical power analysis is a flexible approach to sample size determination for longitudinal studies. However, different power analyses are required for different statistical tests which arises from the difference between different statistical methods. In this paper, the simulation-based power calculations of F-tests with Containment, Kenward-Roger or Satterthwaite approximation of degrees of freedom are examined for sample size determination in the context of a special case of linear mixed models (LMMs), which is frequently used in the analysis of longitudinal data. Essentially, the roles of some factors, such as variance–covariance structure of random effects [unstructured UN or factor analytic FA0], autocorrelation structure among errors over time [independent IND, first-order autoregressive AR1 or first-order moving average MA1], parameter estimation methods [maximum likelihood ML and restricted maximum likelihood REML] and iterative algorithms [ridge-stabilized Newton-Raphson and Quasi-Newton] on statistical power of approximate F-tests in the LMM are examined together, which has not been considered previously. The greatest factor affecting statistical power is found to be the variance–covariance structure of random effects in the LMM. It appears that the simulation-based analysis in this study gives an interesting insight into statistical power of approximate F-tests for fixed effects in LMMs for longitudinal data.