结构式家庭治疗的理论及其应用评析

本文从结构式家庭治疗的产生背景出发,简要阐述了其建立的相关理论基础和其基本概念。并以结构式家庭治疗在实际运用中的实用性和有待解决的问题为思考点,对结构式家庭治疗的现实运用做了较全面的分析。     

Generalized multilevel structural equation modeling

A unifying framework for generalized multilevel structural equation modeling is introduced. The models in the framework, called generalized linear latent and mixed models (GLLAMM), combine features of generalized linear mixed models (GLMM) and structural equation models (SEM) and consist of a response model and a structural model for the latent variables. The response model generalizes GLMMs to incorporate factor structures in addition to random intercepts and coefficients. As in GLMMs, the data can have an arbitrary number of levels and can be highly unbalanced with different numbers of lower-level units in the higher-level units and missing data. A wide range of response processes can be modeled including ordered and unordered categorical responses, counts, and responses of mixed types. The structural model is similar to the structural part of a SEM except that it may include latent and observed variables varying at different levels. For example, unit-level latent variables (factors or random coefficients) can be regressed on cluster-level latent variables. Special cases of this framework are explored and data from the British Social Attitudes Survey are used for illustration. Maximum likelihood estimation and empirical Bayes latent score prediction within the GLLAMM framework can be performed using adaptive quadrature in gllamm, a freely available program running in Stata.gllamm can be downloaded from http://www.gllamm.org. The paper was written while Sophia Rabe-Hesketh was employed at and Anders Skrondal was visiting the Department of Biostatistics and Computing, Institute of Psychiatry, King's College London.     

Using Structural Analysis in Natural Settings: A Responsive Functional Assessment Strategy

Since the reauthorization of IDEA (1997), the use of functional assessments to examine factors that are related to students challenging behaviors has gained increasing attention in the literature. Over the past five years, several groups of investigators have conducted systematic analyses of the current status of the use of functional assessment in relation to students with or at risk for emotional/behavioral disorders (EBD). Their findings outline a number of critical, applied research issues for the field to consider. The purpose of this paper is to respond to a number of these issues by highlighting the relevance of structural analysis in addition to and in some cases in lieu of more traditional functional assessments. A brief review of current trends in the functional assessment research is presented as well as a rational for the use of structural analysis to examine the occurrence of appropriate behavior for students with EBD. Finally, illustrations of studies conducting structural analyses in classrooms settings are provided.     

Models for the Detection of Deviations from the Expected Processing Strategy in Completing the Items of Cognitive Measures

This paper presents confirmatory factor models with fixed factor loadings that enable the identification of deviations from the expected processing strategy. The instructions usually define the expected processing strategy to a considerable degree. Simplification is a deviation from instructions that is likely to occur in complex cognitive measures. Since simplification impairs the validity of the measure, its identification is important. Models representing simplicity and instruction-based processing strategies were considered in investigating the data of 345 participants obtained by a working memory measure in order to find out whether and how the use of these strategies influences model-data fit. As expected, the consideration of simplicity strategies improved the model-data fit achieved for the instruction-based strategy.     

Narrowing the Creativity Gap: The Moderating Effects of Perceived Support for Creativity

This article examines the role of 3 types of perceived support for creativity in moderating the relation between creative self-efficacy and self-perceived creativity. The findings suggest significant interaction effects for perceived work-group support and supervisor support, but not for perceived organizational support. This study is among the first to (a) examine the importance of perceived support for creativity in unlocking creative potential and increasing creativity in organizations and (b) use interaction terms in structural equation modeling (SEM) to investigate moderator effects in an applied research setting. These results imply that organizational interventions focused on training supervisors and work-group members to support creativity in the workplace may be more effective than broader and less focused interventions at the organizational level.     

A Computationally More Efficient and More Accurate Stepwise Approach for Correcting for Sampling Error and Measurement Error

Over the last decade or two, multilevel structural equation modeling (ML-SEM) has become a prominent modeling approach in the social sciences because it allows researchers to correct for sampling and measurement errors and thus to estimate the effects of Level 2 (L2) constructs without bias. Because the latent variable modeling software Mplus uses maximum likelihood (ML) by default, many researchers in the social sciences have applied ML to obtain estimates of L2 regression coefficients. However, one drawback of ML is that covariance matrices of the predictor variables at L2 tend to be degenerate, and thus, estimates of L2 regression coefficients tend to be rather inaccurate when sample sizes are small. In this article, I show how an approach for stabilizing covariance matrices at L2 can be used to obtain more accurate estimates of L2 regression coefficients. A simulation study is conducted to compare the proposed approach with ML, and I illustrate its application with an example from organizational research.     

Structural Violence Effects on the Educational Life Chances of Children from Low Income Families in KwaZulu-Natal,South Africa

The aim of the study was to explore the structural conditions and social formations that mediate access to quality education amongst low income children in KwaZulu-Natal. Structural violence can lead to injustices to children such as the experience of hunger, disease, poverty and poor quality of education. A total of 117 students (male = 59; female = 58; age range 8 to 18 years) were drawn from three high schools, five primary schools and a special school in a district of KwaZulu-Natal, South Africa. The study captured the voices of participants through individual interviews and focus group interviews. Data were analyzed thematically. Systemic structural conditions in society such as poverty, lack of resources in schools, poor infrastructure in communities, poorly trained teachers, lack of accountability created barriers to educational access for children from poor backgrounds.     

Adherence to pharmacological treatment of non-malignant chronic pain: The role of illness perceptions and medication beliefs

The objective was to identify the degree to which illness perceptions and medication beliefs explain variations in reported adherence to medication prescribed for the treatment of non-malignant chronic pain and to test the applicability of an extended version of the self-regulatory model to the chronic pain population. A cross-sectional design included 217 clinic patients completing validated questionnaires assessing their illness perceptions, medication beliefs and reported adherence to medication. Perceptions of illness (pain) as chronic, uncontrollable and unremitting were associated with greater adherence, fewer medication concerns and a belief that treatment was necessary. Structural equation modelling supports an extended SRM for chronic pain. It suggests that patients holding perceptions of serious consequences of pain and high emotion levels have more concerns about medication and are less adherent. Perceptions of serious illness consequences are also associated with stronger beliefs about the necessity of medicines and greater adherence. Beliefs about illness and medication are associated with adherence to treatment in chronic pain and this can be explained by an extended SRM. Results are preliminary and require replication. Further studies should explore the role that emotion has on coping strategies in chronic pain. Interventions should focus on altering unhelpful beliefs that reduce adherence.     

Are smokers interested in genetic testing for smoking addiction? A socio-cognitive approach

Genetic advances have made genetically tailored smoking cessation treatments possible. In this study, we examined whether smokers are interested in undergoing a genetic test to identify their genetic susceptibility to nicotine addiction. In addition, we aimed to identify socio-cognitive determinants of smokers’ intention to undergo genetic testing. Following the protection motivation theory (PMT), we assessed the following constructs using an online survey among 587 smokers: threat appraisal (i.e. susceptibility and severity), fear, coping appraisal (i.e. response efficacy and self-efficacy), response costs and intention. In addition, knowledge, social norms and information-seeking behaviour were measured. Mean intention rates were 2.57 on a 5-point scale. Intention was significantly associated with threat appraisal and coping appraisal, as predicted by the PMT. Fear of the outcome was negatively associated with the intention to undergo genetic testing, but response costs, knowledge and social influence were not. Intention to undergo genetic testing in turn was positively related to seeking information about genetic testing and genetically tailored smoking cessation treatments. Smokers seem ambivalent or ‘on the fence’ with regard to undergoing a genetic test for smoking addiction. Socio-cognitive concepts such as susceptibility, severity, response efficacy and self-efficacy may be used to inform or educate smokers about the value of genetically tailored smoking cessation treatments.     

The Appeal of Personal Selling as a Career: A Decade Later

While students' attitudes and perceptions toward personal selling as a career have been discussed at length, the literature reflects remarkably little effort to understand students' preferences for sales careers. The authors synthesize extant knowledge on the subject and extend the knowledge base by conducting a time-series replication of an earlier study and by examining the relative importance of marketing-related career characteristics. Managerial implications of this research are discussed.