Evidence-based practice: a critical reflection

This article employs the process of critical reflection to uncover and challenge the hegemonic assumptions of evidence-based practice (EBP). The critical reflection process results in a re-conceptualisation of best practices that, while still honouring empirical research, is less hierarchical and more inclusive of a broad spectrum of interests than traditional EBP. Multidimensional Evidence-Based Practice (MEBP) validates consumer wisdom, professional experience, and qualitative research as equal partners to quantitative research in determining current state-of-the art best practices. Furthermore, MEBP incorporates a value-critical analysis of those best practices that can lead to improvements and innovations, so that ‘best practices’ becomes a dynamic rather than a static construct.     

Modification of Tukey's additivity test

In this paper we discuss testing for an interaction in the two-way ANOVA with just one observation per cell. The known results are reviewed and a simulation study is performed to evaluate type I and type II risks of the tests. It is shown that the Tukey and Mandel additivity tests have very low power in case of more general interaction scheme. A modification of Tukey's test is developed to resolve this issue. All tests mentioned in the paper have been implemented in R package Additivity Tests.     

Family-directed structural therapy

Family-Directed Structural Therapy (FDST) is an approach to family therapy built on traditional concepts of Structural Family Therapy, the Strengths Model, and Group Work Theory. The FDST approach is a goal-oriented, time limited approach that enables the family to identify strengths and areas of concern, as well as to enhance family functioning. This process is facilitated via the use of a common vocabulary and a concretely organized, easily administered FDST Assessment Tool that is completed by adult family members. This article presents the essential features of the FDST approach, including the use and scoring of the FDST Assessment Tool. It concludes with an extensive case example.     

Impact of CO<Subscript>2</Subscript> Emissions Reductions on Firms’ Finance in an Emerging Economy: The Case of the Czech Republic

This paper investigates the relationship between economic and environmental performance with focus on firms in an emerging economy, the Czech Republic, and their CO₂ emission reductions. We discuss whether the hypotheses tested for local pollutants that firms emit and firms’ finances are relevant for CO₂ emissions. We test the hypotheses on a sample of Czech firms included in the first phase of European Union Emissions Trading Scheme (EU ETS). We observe that introduction of EU ETS did not encourage significant investments in CO₂ emissions reduction. Importantly, the results show that the firms that did invest in CO₂ reductions experienced a negative impact on their finance. We argue that this is explained by the drop in the price of allowances on the carbon market in 2006 which resulted in firms receiving less revenue from saved allowances than they had expected.     

Broadcasting multiple messages in the 1-in port model in optimal time

In the 1-in port model, every vertex of a synchronous network can receive at most one message in each time unit. We consider simultaneous broadcasting of multiple messages from the same source or from distinct sources in such networks with an additional restriction that every received message can be sent out to neighbors only in the next time unit and never to already informed vertex. We use a general concept of level-disjoint partitions developed for this scenario. Here we introduce a subgraph extension technique for efficient spreading information within this concept. Surprisingly, this approach with so called biwheels leads to simultaneous broadcasting of optimal number of messages on a wide class of graphs in optimal time. In particular, we provide tight results for bipartite tori, meshes, hypercubes, Knödel graphs, circulant graphs. We also propose several open problems and conjectures.     

Ties,sites and irregularities: pitfalls and benefits in using respondent-driven sampling for surveying a homeless population

Respondent-driven sampling (RDS) is a survey method for hidden populations and, as such, it offers a suitable approach for sampling the homeless. Surprisingly, the practical use of RDS in surveying homeless populations has only sporadically been described in the professional literature so far, and the specifics of using RDS for sampling this group have not been reflected in depth. The goal of the article is to investigate how three specific concerns, namely the transitional character of social ties among the homeless, problems with locating the interview site, and the irregular use of coupons, affect the sampling process. The findings of the article are based on experience using RDS for creating two independent samples of homeless persons in two Czech cities. Worries of poor referral effectiveness were disproved, but poor validity of the network size indicator, tendency towards irregular use of coupons, and negative effects arising from selecting service centres for the homeless as survey sites were confirmed.     

The Emergence of a Specific Kind of Individualization Habitus Among Divorced Women

Previous research has consistently found that divorce is associated with psychological distress. This study expands existing research by considering age, education, employment, income, length of divorce, number of children, and economic hardship as predictors of postdivorce psychological distress among divorced women in Iran. This study examines 800 divorced women in Iran 30 to 48 years old who had been divorced for no more than 2 years. Results demonstrated that education, number of children, and economic hardship together predict 63.6% of the variance in psychological distress among divorced women. Economic hardship was found to be the strongest contributor. Recommendations for researchers and implications for clinicians are discussed.