Clinical psychologists’ constructions of their work with children

This study adopts a discursive psychological approach to an analysis of interviews with nine clinical psychologists on the subject of their work with children in NHS-based Child and Adolescent Mental Health Services. The objective of the study was to explore how child clinical psychologists talk about their work, with a particular focus on the discursive and interactional aspects of the discourse, and participants’ orienting to, and providing justifications for, the morally dubious status of the various practices that they described in their talk. The analysis delineates complex rhetorical strategies of accountability management in talk about practices depicted as potentially problematic. These included: (1) the ‘severe end’ rhetorical device that functioned to warrant the use of medication; (2) the minimisation strategy that was used to manage diagnostic problems by constructing diagnoses in a minimal or safer manner; (3) normalisation techniques which served to downplay and re-define contested practices as less problematic or indeed as positive; (4) doing ‘being democratic’ that constructed troubling practice as democratic; (5) employing ‘maxims of practical politics’ that seemed to legitimise contested practices by invoking liberal and pragmatic arguments; and (6) the discursive move of redirecting accountability to service users or the institution. The discursive analysis of the extended accounts also demonstrated how participants oriented to notions of the moral nature of their practice and their morally adequate personal and professional identities. The results of this study indicate that clinical psychologists face a moral quandary, suggesting that perhaps clinical psychology practice, particularly with children whose distress or behaviour is conceptualised as mental illness, entails a constant grappling with moral issues. Implications for clinical practice are discussed in light of the analysis

Evaluating the energy and cost benefits of heat pumps in multi-occupancy dwellings

This paper provides a tabular analysis of an “outdoor air-water” heat pump in heating and domestic hot water system inside a multi-occupancy dwelling house. The study set out to compare a conventional system using the city’s district heat supply with one using an “outdoor air-water” heat pump. One part of the analysis is the energy performance of the renewable energy source. The study is also addressed the benefits of saving on conventional heat source and the period of financial return on the heat pump investment

Management of financial risks in Slovak enterprises using regression analysis

Research background: Financial risk management is the task of monitoring financial risks and managing their impact. Financial risk is often perceived as the risk that a company may default on its debt payments. The issue of the debt, default or prosperity of the company are presented in the article as one of the ways of the risk management. A prediction of corporate default is an inseparable element of the risk management. Mainly the consequences of risk are the engine of research and development of methods and models, which enable to predict economic and financial situation in specific conditions of global economies. Purpose of the article: The main aim of the presented article is to assess financial risks of Slovak entities, realized by the identification of significant factors and determinants affecting the prosperity of Slovak companies. Methods: To conduct the research we have used the data of Slovak enterprises, obtained from annual financial reports covering the year 2015 and the calculated financial ratios of profitability, activity, liquidity and indebtedness that may affect the financial health of the company were applied in the regression analysis. Realizing the multiple regression analysis, the statistically significant determinants that affect the future financial development of the company are identified, as well as the regression model of the bankruptcy prediction. Findings & Value added: In the research aimed at the management of financial risks in Slovak enterprises, we focused on the revelation of significant economic risk factors using multiple regression. The results suggest that the most significant predictors are net return on capital, cash ratio, quick ratio, current ratio, net working capital, RE/TA ratio, current debt ratio, financial debt ratio and current assets turnover based on which the decision about the future company default can be made. These factors are significant enough to manage financial risks and to affect the profitability and prosperity of the company

Constitution d'une banque de dossiers numérisés pour l'aide au diagnostic cytologique en hématologie

LIMOGES-BU Médecine pharmacie (870852108) / SudocLYON1-BU Santé (693882101) / SudocSudocFranceF

Searching for Key Factors in Enterprise Bankrupt Prediction: A Case Study in Slovak Republic

The issue of enterprise in bankrupt or financial health as a whole is still very actual topic not only in Slovakia but also in abroad. Works dealing with the enterprise in bankruptcy have already appeared in the 1930s of the 20th century. Bankrupt of enterprise affect all subject in relationship with this enterprise. Financial experts were looking for the ways for enterprise bankrupt prediction. This article is based on the searching for key factors that could indicate the enterprise in bankrupt in Slovak conditions. This article tries to work with financial variables from the area of financial health assessment of enterprise and works with the sample of Slovak enterprises. This sample includes 8,522 financial statements of enterprises in 2016. According to several relevant decisions rules, for example, the value of equity or equity debt ratio, enterprises are divided into two categories – bankrupt enterprises and creditworthy enterprises. Subsequently, this article tries to find statistically significant financial variables that could indicate involving enterprises in these two categories and works with several statistical methods for searching significant relationship between variables and the tightness of relations between them. As a main statistical method, Pearson´s correlation coefficient is used, which is supported by correlation matrices. In addition, it is necessary to test an existence of outliers in the sample of enterprises. Existence of outliers is tested by the Grubbs test of outliers

Management of financial risks in Slovak enterprises using regression analysis

Research background: Financial risk management is the task of monitoring financial risks and managing their impact. Financial risk is often perceived as the risk that a company may default on its debt payments. The issue of the debt, default or prosperity of the company are presented in the article as one of the ways of the risk management. A prediction of corporate default is an inseparable element of the risk management. Mainly the consequences of risk are the engine of research and development of methods and models, which enable to predict economic and financial situation in specific conditions of global economies. Purpose of the article: The main aim of the presented article is to assess financial risks of Slovak entities, realized by the identification of significant factors and determinants affecting the prosperity of Slovak companies. Methods: To conduct the research we have used the data of Slovak enterprises, obtained from annual financial reports covering the year 2015 and the calculated financial ratios of profitability, activity, liquidity and indebtedness that may affect the financial health of the company were applied in the regression analysis. Realizing the multiple regression analysis, the statistically significant determinants that affect the future financial development of the company are identified, as well as the regression model of the bankruptcy prediction. Findings & Value added: In the research aimed at the management of financial risks in Slovak enterprises, we focused on the revelation of significant economic risk factors using multiple regression. The results suggest that the most significant predictors are net return on capital, cash ratio, quick ratio, current ratio, net working capital, RE/TA ratio, current debt ratio, financial debt ratio and current assets turnover based on which the decision about the future company default can be made. These factors are significant enough to manage financial risks and to affect the profitability and prosperity of the company

Research on Corporate Indebtedness Determinants: A Case Study of Visegrad Group Countries

Debt financing is arguably the most important source of external financing for enterprises and has become popular in recent years. Corporate debt is related to the monitoring of corporate indebtedness, which is a necessary part of evaluating the overall financial performance of an enterprise and will occur if an enterprise does not have enough equity. However, rising indebtedness can be a difficult financial situation for enterprises in the form of default and an inability to meet their emerging liabilities. The main aim of this paper is to perform a debt analysis of enterprises operating in the Visegrad Group countries and subsequently examine whether firm size and legal form have a statistically significant impact on selected indebtedness indicators. Firstly, it was necessary to perform a debt analysis using 10 debt ratios. Subsequently, the nonparametric Kruskal–Wallis test was used to perform a more detailed analysis focused on examining statistically significant differences in individual indebtedness ratios based on firm size and legal form. Bonferroni corrections were applied to detect where stochastic dominance occurred. The Kruskal–Wallis test results reveal statistically significant differences in debt ratios in Visegrad Group countries, confirming the impact of firm size and legal form on calculated debt ratios. Recognizing the impact of several determinants on corporate debt is critical because these firm-specific features may be interpreted as proxies for default probability or the volatility of corporate assets, which may simplify the decision-making processes of creditors and stakeholders

Advanced methods of earnings management: monotonic trends and change-points under spotlight in the Visegrad countries

Research background: Enterprises manage earnings in an effort to balance their profit fluctuations to provide increasingly consistent earnings in every reporting period. Earnings management is legal and very effective method of accounting techniques and may be used to obtain specific objectives of the enterprises involving the manipulation of accruals. Therefore, there is a need to analyze it in the context of group of countries, while the issue of their detection in the new ways appears.  Purpose of the article: The analysis of annual earnings before interest and taxes (EBIT) of 5,640 enterprises from the Visegrad Four during the period 2009-2018 confirms that the development of earnings management in these countries is not a randomness. Thus, the aim of this article is to determine the existence of positive trend in earnings management and to detect the change-point in its development for each Visegrad country. Methods: Grubbs test, Mann-Kendall trend test and Buishand test were used as appropriate statistical methods. Mann-Kendall test identifies significant monotonic trend occurrence in earnings manipulation in every country. Buishand test indicates significant years, which divides the development of EBIT into two homogenous groups with individual central lines. Findings & Value added: Based on the statistical analysis applied, we rejected randomness in the managing of earning, but we determined the trend of its increasing. The positive earnings manipulation was not homogenous in the analyzed period, however, a change-point was defined. Year 2014 was identified as a break-point for Slovak, Polish and Hungarian enterprises considering the earnings manipulation. Year 2013 was detected as a change-point in Czech enterprises. The methodical approach used may be very helpful for researchers from other countries to determine, detect and understand earnings management as well as for the investors to make decisions based on a specificities of an individual country

Systematic review of variables applied in bankruptcy prediction models of Visegrad group countries

Research background: Since the first bankruptcy prediction models were developed in the 60's of the 20th century, numerous different models have been constructed all over the world. These individual models of bankruptcy prediction have been developed in different time and space using different methods and variables. Therefore, there is a need to analyse them in the context of various countries, while the question about their suitability arises. Purpose of the article: The analysis of more than 100 bankruptcy prediction models developed in V4 countries confirms that enterprises in each country prefer different explanatory variables. Thus, we aim to review systematically the bankruptcy prediction models developed in the countries of Visegrad four and analyse them, with the emphasis on explanatory variables used in these models, and evaluate them using appropriate statistical methods. Methods: Cluster analysis and correspondence analysis were used to explore the mutual relationships among the selected categories, e.g. clusters of explanatory variables and countries of the Visegrad group. The use of the cluster analysis focuses on the identification of homogenous subgroups of the explanatory variables to sort the variables into clusters, so that the variables within a common cluster are as much similar as possible. The correspondence analysis is used to examine if there is any statistically significant dependence between the monitored factors ? bankruptcy prediction models of Visegrad countries and explanatory variables. Findings & Value added: Based on the statistical analysis applied, we confirmed that each country prefers different explanatory variables for developing the bankruptcy prediction model. The choice of an appropriate and specific variable in a specific country may be very helpful for enterprises, researchers and investors in the process of construction and development of bankruptcy prediction models in conditions of an individual country