Thinking critically about cross-cultural implementation—Swedish social workers’ experiences of testing the Kids’ Club method for helping child and mother victims of intimate partner violence

There are calls for evidence-based methods for helping children to deal with experiences of Intimate Partner Violence (IPV) in many countries. Therefore, it has been commonplace to implement such methods from outside of their home country. The aim of this study is to examine Swedish social workers’ experiences of testing the American Kids’ Club method for child and mother victims of IPV. After having tested leading Kids’ Club groups, seventeen social workers at four different locations were interviewed using a semi-structured interview guide. The results indicate that the social workers generally accepted the method. This was related both to some general features of the method and to their perceiving it as somewhat flexible. According to the social workers, the method needs some cultural adaptation to better suit the Swedish social services setting, otherwise it cannot be fully accepted. Finally, they thought that successful implementation depended on an organizational structure that enabled enough children to be referred to the programme as well as either high personal commitment or an organization that prioritized the method. Based on these results, we conclude that importing an American evidence-based group method to help children exposed to IPV to Sweden demands attention to issues of cultural adaption.     

From zero-sum to win-win - Organisational conditions for successful shared value strategy implementation

The number of publications on shared value strategies (SVSs) is continuously increasing. Literature does not answer the question which organisational conditions are necessary and which conjunctions of conditions are sufficient for the successful implementation of SVSs. This research aims at filling the gap by condensing empirical evidence found in the literature on successful SVSs, stakeholder management, corporate social responsibility, and positive social change. The article synthesises the findings of these streams of research into a set-theoretical framework and proposes five complex conditions necessary for successful SVS implementation: shared value-oriented entrepreneurial vision, strategic alignment (STA), shared value-oriented innovation (SVI), networking capabilities (NCs), and impact monitoring. Additional empirical evidence from cases claiming successful implementation of SVS allows the suggestion of several simple conditions constituting the complex conditions. Qualitative comparative analysis can be used for empirically testing the necessity of the suggested conditions and the sufficiency of conjunctions of complex conditions for SVS implementation success. The proposed framework enhances theoretical knowledge concerning successful SVS implementation and is an important step to support management efforts in reorienting their companies from zero-sum strategies to win-win SVSs.     

A consistency result in general censoring models

In this paper we prove a consistency result for sieved maximum likelihood estimators of the density in general random censoring models with covariates. The proof is based on the method of functional estimation. The estimation error is decomposed in a deterministic approximation error and the stochastic estimation error. The main part of the proof is to establish a uniform law of large numbers for the conditional log-likelihood functional, by using results and techniques from empirical process theory.     

Unconditional Quantile Treatment Effects Under Endogeneity

This article develops estimators for unconditional quantile treatment effects when the treatment selection is endogenous. We use an instrumental variable (IV) to solve for the endogeneity of the binary treatment variable. Identification is based on a monotonicity assumption in the treatment choice equation and is achieved without any functional form restriction. We propose a weighting estimator that is extremely simple to implement. This estimator is root n consistent, asymptotically normally distributed, and its variance attains the semiparametric efficiency bound. We also show that including covariates in the estimation is not only necessary for consistency when the IV is itself confounded but also for efficiency when the instrument is valid unconditionally. An application of the suggested methods to the effects of fertility on the family income distribution illustrates their usefulness. Supplementary materials for this article are available online.     

Multiple imputation in practice—a case study using a complex German establishment survey

Multiple imputation is widely accepted as the method of choice to address item nonresponse in surveys. Nowadays most statistical software packages include features to multiply impute missing values in a dataset. Nevertheless, the application to real data imposes many implementation problems. To define useful imputation models for a dataset that consists of categorical and possibly skewed continuous variables, contains skip patterns and all sorts of logical constraints is a challenging task. Besides, in most applications little attention is paid to the evaluation of the underlying assumptions behind the imputation models.     

Eyetracking measures of social attention in young children: How gaze patterns translate to real‐life social behaviors

The aim of this study was to evaluate to what degree eyetracking paradigms of social attention, in combination with synchronous measurements of affective arousal, were associated with real‐life social behavior of children aged 3–7 years. Several eyetracking paradigms were used, involving social interactions, single/multiple faces, and emotional faces. Arousal was measured using electrocardiography. Real‐life social behavior was measured using structured behavior observations, parent questionnaires, and developmental interviews. Time spent looking at social stimuli was significantly associated with real‐life social behaviors, and independent of age, IQ, or gender. Paradigms involving social interactions and looking time to the eyes showed the most consistent relations with social behaviors. Stronger affective arousal responses were associated with shorter looking times toward eyes, which in turn were associated with less social awareness in real life. Eyetracking and arousal measures allow for sensitive and objective assessment of social abilities that have great relevance for real‐life social behaviors, with the potential to use in a broad and diverse population. These measures may help gain insight into the underpinnings of social behavior and may serve as a valuable marker or outcome measure in understanding, monitoring, and stimulating social‐emotional development early in life.     

Is an e-mental health programme a viable way to reach affected others of disordered gamblers? A feasibility study focusing on access and retention

Although affected family members (AFMs) of disordered gamblers suffer from highly stressful living conditions and are in need of specialized help, access to and knowledge of professional support is limited. To improve this situation, an e-mental health programme called EfA with one information module and five consecutive training modules was developed. The study investigated (1) promotion of and referral to EfA, (2) duration of visits and conversion rate, and (3) participants’ characteristics and retention in EfA. In 9 months, 6357 visits were counted. Most visitors arrived at the website via direct access. Those using search terms most commonly used phrases that were used in promotional materials. Per month, 16.1 new potential participants registered. The final sample consisted of 126 participants, most of them female, with high daily Internet usage and low use of prior professional support or self-help. More than one-third finished all modules. This is the first time that data on an e-mental health programme for this clientele was collected in Germany. Findings imply the importance of promoting such a programme in order to reach a clientele that has not had prior help and also show that it is a viable way to reach AFMs.     

Anticipating acceptance of emerging technologies using twitter: the case of self-driving cars

In an early stage of developing emerging technologies, there is often great uncertainty regarding their future success. Companies can reduce this uncertainty by listening to the voice of customers as the customer eventually decides to accept an emerging technology or not. We show that risk and benefit perceptions are central determinants of acceptance of emerging technologies. We present an analysis of risk and benefit perception of self-driving cars from March 2015 until October 2016. In this period, we analyzed 1,963,905 tweets using supervised machine learning for text classification. Furthermore, we developed two new metrics, risk rate (RR) and benefit rate (BR), which allow analyzing risk and benefit perceptions on social media quantitatively. With our results, we provide impetus for further research on acceptance of self-driving cars and a methodological contribution to acceptance of emerging technologies research. Furthermore, we identify crucial issues in the public perception of self-driving cars and provide guidance for the management of emerging technologies to increase the likelihood of their acceptance.