Training fieldwork supervisors of social work students at a South European University: evaluation of the effectiveness of a relational psychodynamic model

This case-study adopts a mixed research methodology in order to evaluate the process and the effectiveness of a psychodynamically informed training seminar for field supervisors of undergraduate social work students, at a South European University. At the beginning of the seminar, an anonymous questionnaire gathered information on the supervisors’ demographics, preferred supervision style and expectations from the training. The training consisted of four sessions involving analysis of (1) student process-recorded interviews with clients, (2) the relationships formed between the student, the supervisor and the field practice manager, (3) brief virtual scenarios (vignettes) of field practice problems and (4) a videotaped supervision session. At the end of the training process, a follow-up questionnaire researched the satisfaction of supervisors with the training, their confidence to conduct supervision, and their satisfaction with the instructor's teaching. Overall, the training has been satisfactory for the trainees and increased their competence to supervise.     

A Postmodern Critique of Societal Discourses of Male Violence in Interpersonal Family Relationships: A Balancing Act for Social Work

In recent years, treatments of family violence have tended to be built around conventional discourses suggesting that men are major initiators in instances of interpersonal violence. Utilizing a postmodernist analysis, we assess societal discourses that continue to give life to this narrow conceptualization of interpersonal violence. We also examine literature suggesting that both men and women resort to violence to resolve relationship difficulties and suggest that a more holistic and inclusive approach to understanding interpersonal violence is critical for social workers committed to social justice and a balanced understanding of the contextual nature of human problems.     

Multiple Time Series Modeling and Extended Sample Cross-Correlations

This article provides an expository account of the multivariate autoregressive moving average models and proposes an extended sample cross-correlation approach for practical model identification. An iterative model building procedure for applying these models to real data is discussed and demonstrated by analyzing the 5-series U.S. Hog Data.     

Field practice supervision of social work students: a psychodynamic view on the emotional context of the process and the setting during the client assessment phase

This empirical study is a psychodynamic view of the supervision setting and key emotional parameters during the client assessment process. The supervisor, through reflectivity, studied his own supervision practice with undergraduate social work students during their first field practice placement. By using supervision critical incidents, he formulated the basic characteristics of the supervision setting, and followed it up with discussion on the key emotional parameters of the supervision process. Particular emphasis was laid on psychodynamic understanding of the supervision process and the consequences of supervisor's interventions for both supervisees and clients. The emotional context of the supervision process during the client assessment phase was predominantly shaped by four emotional parameters: (i) the supervisor identifying with both client and supervisee needs; (ii) the supervisor concentrating on exclusively the educational character of supervision by avoiding dealing with student's personality issues; (iii) the supervisor dealing with client and supervisee ‘transferences to the setting’; and (iv) the supervisor setting and safeguarding the supervision limits and boundaries.     

Deconstructing maternal sensitivity: Predictive relations to mother‐child attachment in home and laboratory settings

Despite the well‐documented importance of parental sensitivity for child development, there is a lack of consensus regarding how best to assess it. We investigated the factor structure of maternal caregiving behavior as assessed at 12 months by the Maternal Behavior Q‐Sort (Pederson & Moran) with 274 mother‐infant dyads. Subsequently, we examined associations between these empirically‐derived dimensions and child attachment, assessed in the home and laboratory (final N = 157). Three dimensions of maternal behavior were identified, corresponding fairly closely to Ainsworth's original scales. They were labeled Cooperation/Attunement, Positivity, and Accessibility/Availability. Only Cooperation/Attunement consistently predicted home‐based attachment at 15 months and 2 years, and at comparable strength to the overall sensitivity score, suggesting that this construct may be central to sensitivity. At 18 months, compared to their primarily secure counterparts, different types of laboratory‐assessed insecure attachment were associated with different patterns of maternal behavior. Mothers in avoidant relationships (n = 18) were low on Cooperation/Attunement and Accessibility/Availability, but fairly high on Positivity. Mothers of disorganized infants (n = 11) were Cooperative/Attuned but somewhat less Positive toward, and less Accessible/Available to, their infants. A multidimensional approach to parental behavior may facilitate the identification of parenting precursors of insecure parent‐child relationships.     

Central Limit Theorem approximations for the number of runs in Markov-dependent binary sequences

We consider Markov-dependent binary sequences and study various types of success runs (overlapping, non-overlapping, exact, etc.) by examining additive functionals based on state visits and transitions in an appropriate Markov chain. We establish a multivariate Central Limit Theorem for the number of these types of runs and obtain its covariance matrix by means of the recurrent potential matrix of the Markov chain. Explicit expressions for the covariance matrix are given in the Bernoulli and a simple Markov-dependent case by expressing the recurrent potential matrix in terms of the stationary distribution and the mean transition times in the chain. We also obtain a multivariate Central Limit Theorem for the joint number of non-overlapping runs of various sizes and give its covariance matrix in explicit form for Markov dependent trials.