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Mary Russell Annemarie Gockel Barbara Harris 《Child and Adolescent Social Work Journal》2007,24(2):101-120
Multi-level intervention, based on an ecological perspective, has been promoted at the preferred model of providing parenting
support to high-risk families. However, parent views regarding such interventions have not been determined. Focus groups consisting
of 24 parents who had recently completed an intensive parenting program yielded results supporting multi-level interventions
but highlighting processes rather than content within such programs as well as the reciprocal effect of particular level interventions.
Processes identified at intervention levels included Affirming Parent Self-Worth, Non-Directive Instruction, Promoting Social Connections, and Empowering Communication. Increased understanding of and attending to processes in intensive intervention with high-risk families is indicated. 相似文献
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Steven M. Harris 《Journal of marital and family therapy》2002,28(2):255-259
Brody, L. (1999). Gender, emotion, and the family .
Fowers, B. J. (2000). Beyond the myth of marital happiness: How embracing the virtues of loyalty, generosity, justice, and courage can strengthen your relatoinship .
Jones, E., & Asen, E. (2000). Systemic couple therapy and depression .
Joyce, P. (2001). Couples: Real people, real issues .
Woody, R. H. (2000). Child custody: Practice standards, ethical issues, & legal safeguards for mental health professionals . 相似文献
Fowers, B. J. (2000). Beyond the myth of marital happiness: How embracing the virtues of loyalty, generosity, justice, and courage can strengthen your relatoinship .
Jones, E., & Asen, E. (2000). Systemic couple therapy and depression .
Joyce, P. (2001). Couples: Real people, real issues .
Woody, R. H. (2000). Child custody: Practice standards, ethical issues, & legal safeguards for mental health professionals . 相似文献
448.
S. P. Brooks E. A. Catchpole B. J. T. Morgan M. P. Harris 《Journal of applied statistics》2002,29(1-4):187-206
A major recent development in statistics has been the use of fast computational methods of Markov chain Monte Carlo. These procedures allow Bayesian methods to be used in quite complex modelling situations. In this paper, we shall use a range of real data examples involving lapwings, shags, teal, dippers, and herring gulls, to illustrate the power and range of Bayesian techniques. The topics include: prior sensitivity; the use of reversible-jump MCMC for constructing model probabilities and comparing models, with particular reference to models with random effects; model-averaging; and the construction of Bayesian measures of goodness-of-fit. Throughout, there will be discussion of the practical aspects of the work - for instance explaining when and when not to use the BUGS package. 相似文献
449.
This paper introduces the Dogit ordered generalized extreme value (DOGEV) model, for handling discrete variables that are ordered and heterogeneous. In particular, the DOGEV model can be applied to questionnaire responses on questions allowing a discrete set of ordered possible responses, where there is a preference for particular responses and possibly multiple modes in the data. The DOGEV model combines a model for choice set generation with the ordered generalized extreme value model. The paper illustrates the model using two empirical examples: a model of inflationary expectations and a model for students' evaluations of teaching. 相似文献
450.
S. P. Brooks E. A. Catchpole B. J. T. Morgan M. P. Harris 《Journal of applied statistics》2002,29(1):187-206
A major recent development in statistics has been the use of fast computational methods of Markov chain Monte Carlo. These procedures allow Bayesian methods to be used in quite complex modelling situations. In this paper, we shall use a range of real data examples involving lapwings, shags, teal, dippers, and herring gulls, to illustrate the power and range of Bayesian techniques. The topics include: prior sensitivity; the use of reversible-jump MCMC for constructing model probabilities and comparing models, with particular reference to models with random effects; model-averaging; and the construction of Bayesian measures of goodness-of-fit. Throughout, there will be discussion of the practical aspects of the work - for instance explaining when and when not to use the BUGS package. 相似文献