• MeSH
• statistika jako téma MeSH

• Konspekt
• Statistika
• NLK Obory
• statistika, zdravotnická statistika

Although increasingly complex models have been proposed in mediation literature, there is no model nor software that incorporates the multiple possible generalizations of the simple mediation model jointly. We propose a flexible moderated mediation model allowing for (1) a hierarchical structure of clustered data, (2) more and possibly correlated mediators, and (3) an ordinal outcome. The motivating data set is obtained from a European study in nursing research. Patients' willingness to recommend their treating hospital was recorded in an ordinal way. The research question is whether such recommendation directly depends on system-level features in the organization of nursing care, or whether these associations are mediated by 2 measurements of nursing care left undone and possibly moderated by nurse education. We have developed a Bayesian approach and accompanying program that takes all the above generalizations into account.

• MeSH
• Bayesova věta * MeSH
• lidé MeSH
• personál sesterský nemocniční statistika a číselné údaje   MeSH
• počítačová simulace MeSH
• regresní analýza * MeSH
• spokojenost pacientů MeSH
• víceúrovňová analýza * MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Geografické názvy
• Evropa MeSH

• MeSH
• interpretace statistických dat MeSH
• statistické modely MeSH
• statistika jako téma metody   MeSH

Data in physical educational research often have a multilevel structure, with observations on individuals nested within groups. Such data have been commonly analyzed at the individual level, whereas the group level variation has been ignored. The purpose of this article is to illustrate the use of multilevel confirmatory factor analysis via a didactic example of a two-level (students nested within classes) analysis of six items test battery artificial data. The results of this analysis indicate that a two-factor model adequately described within-class (individuals) differences in tests results. By contrast, at the between-class level (groups), a general factor of battery was sufficient to capture class differences in test results. In addition, two approaches to estimating population between- and within-class covariance matrices are discussed here. Present article demonstrated the merit of using multilevel techniques in researches, where data have multilevel components. Finally, several software programs appropriate for multilevel confirmatory factor analysis are recommended here.

• MeSH
• faktorová analýza statistická MeSH
• financování organizované MeSH
• lidé MeSH
• počítačové metodologie MeSH
• školy MeSH
• software normy   statistika a číselné údaje   MeSH
• statistika jako téma MeSH
• tělesná výchova metody   statistika a číselné údaje   MeSH
• víceúrovňová analýza metody   normy   MeSH
• výuka - hodnocení metody   normy   statistika a číselné údaje   MeSH
• Check Tag
• lidé MeSH

• Konspekt
• Statistika
• NLK Obory
• statistika, zdravotnická statistika

• MeSH
• statistika jako téma MeSH

• Konspekt
• Statistika
• NLK Obory
• statistika, zdravotnická statistika

Background: The odds of death of patients with acute coronary syndromes (ACS) in non-PCI (percutaneous coronary intervention) hospitals in the Czech Republic change depending on a number of factors (age, heart rate, systolic blood pressure, creatinine, Killip class, the diagnosis, and the number of recommended medications and treatment of ACE-inhibitor or sartan). Objectives: We present a detailed description of multilevel logistic regression applied in the derivation of the conclusion described in the Background, namely we compare multilevel logistic regression with logistic regression. Methods: The above mentioned clinical findings have been derived on the basis of data from the three-year (7/2008-6/2011) registry of acute coronary syndromes ALERT-CZ (Acute coronary syndromes – Longitudinal Evaluation of Real-life Treatment in non-PCI hospitals in the Czech Republic). A total of 32 hospitals contributed into the registry. The number of patients with ACS (n=6013) in the hospitals varied from 15 to 827. Results: The likelihood ratio test showed that the independence of medical outcomes across hospitals cannot be assumed (p<0.001, the variance partition coefficient VPC=8.9%). For this reason, we chose multilevel logistic regression to analyse data, specifically logistic mixed regression (the hospital identity was a random effect). The calibration properties of this model were very good (Hosmer-Lemeshow test, p=0.989). The total discriminant ability of the model was 91.8%. Conclusions: Considering some differences among hospitals, it was appropriate to take into account patient affiliation to various hospitals and to use multilevel logistic regression instead of logistic regression.

• MeSH
• akutní koronární syndrom * komplikace   mortalita   MeSH
• hodnocení rizik MeSH
• lidé MeSH
• mortalita v nemocnicích * MeSH
• mortalita * MeSH
• rizikové faktory MeSH
• statistika jako téma MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• práce podpořená grantem MeSH

PURPOSE: Social patterns in bullying show consistent gender differences in adolescent perpetration and victimization with large cross-national variations. Previous research shows associations between societal gender inequality and gender differences in some violent behaviors in adolescents. Therefore, there is a need to go beyond individual associations and use a more social ecological perspective when examining gender differences in bullying behaviors. The aim of the present study was twofold: (1) to explore cross-national gender differences in bullying behaviors and (2) to examine whether national-level gender inequality relates to gender differences in adolescent bullying behaviors. METHODS: Traditional bullying and cyberbullying were measured in 11-year-olds to 15-year-olds in the 2017/18 Health Behaviour in School-aged Children study (n = 200,423). We linked individual data to national gender inequality (Gender Inequality Index, 2018) in 46 countries and tested their association using mixed-effects (multilevel) logistic regression models. RESULTS: Large cross-national variations were observed in gender differences in bullying. Boys had higher odds of perpetrating both traditional and cyberbullying and victimization by traditional bullying than girls. Greater gender inequality at country level was associated with heightened gender differences in traditional bullying. In contrast, lower gender inequality was associated with larger gender differences for cyber victimization. DISCUSSION: Societal gender inequality relates to adolescents' involvement in bullying and gendered patterns in bullying. Public health policy should target societal factors that have an impact on young people's behavior.

• MeSH
• agrese MeSH
• dítě MeSH
• kyberšikana * MeSH
• lidé MeSH
• mladiství MeSH
• oběti zločinu * MeSH
• sexuální faktory MeSH
• šikana * MeSH
• Check Tag
• dítě MeSH
• lidé MeSH
• mladiství MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

Czech Republic traditionally ranks among the countries with the highest alcohol, consumption. This paper examines both risk and protective factors for frequent of alcohol, consumption in the Czech population using multilevel analysis. Risk factors were measured at the, individual level and at the area level. The individual-level data were obtained from a survey for a, sample of 3526 respondents aged 18-64 years. The area-level data were obtained from the Czech, Statistical Office. The group most inclinable to risk alcohol consumption and binge drinking are mainly, men, who live as single, with low education and also unemployed. Only the variable for divorce rate, showed statistical significance at both levels, thus the individual and the aggregated one. No cross-level interactions were found to be statistically significant.

• MeSH
• alkoholismus epidemiologie   MeSH
• analýza malých oblastí MeSH
• chudé oblasti MeSH
• dospělí MeSH
• lidé středního věku MeSH
• lidé MeSH
• logistické modely MeSH
• mladiství MeSH
• multivariační analýza MeSH
• pití alkoholu epidemiologie   MeSH
• rizikové faktory MeSH
• společenská třída MeSH
• zdravotnické přehledy MeSH
• Check Tag
• dospělí MeSH
• lidé středního věku MeSH
• lidé MeSH
• mladiství MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Research Support, N.I.H., Extramural MeSH
• Geografické názvy
• Česká republika MeSH

OBJECTIVES: Little is known about the impact of recessions on young people's socioeconomic inequalities in health. This study investigates the impact of the economic recession in terms of youth unemployment on socioeconomic inequalities in psychological health complaints among adolescents across Europe and North America. METHODS: Data from the WHO collaborative 'Health Behaviour in School-aged Children' (HBSC) study were collected in 2005/06 (N = 160,830) and 2009/10 (N = 166,590) in 31 European and North American countries. Logistic multilevel models were used to assess the contribution of youth unemployment in 2009/10 (enduring recession) and the change in youth unemployment (2005-2010) to adolescent psychological health complaints and socioeconomic inequalities in complaints in 2009/10. RESULTS: Youth unemployment during the recession is positively related to psychological health complaints, but not to inequalities in complaints. Changes in youth unemployment (2005-2010) were not associated with adolescents' psychological health complaints, whereas greater inequalities in complaints were found in countries with greater increases in youth unemployment. CONCLUSIONS: This study highlights the need to tackle the impact of increasing unemployment on adolescent health and health inequalities during economic recessions.

• MeSH
• disparity zdravotního stavu * MeSH
• dítě MeSH
• duševní zdraví statistika a číselné údaje   MeSH
• ekonomická recese statistika a číselné údaje   MeSH
• guanosindifosfát MeSH
• lidé MeSH
• mladiství MeSH
• nezaměstnanost psychologie   statistika a číselné údaje   MeSH
• rozložení podle pohlaví MeSH
• socioekonomické faktory MeSH
• věkové rozložení MeSH
• víceúrovňová analýza MeSH
• Check Tag
• dítě MeSH
• lidé MeSH
• mladiství MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• Geografické názvy
• Evropa epidemiologie   MeSH
• Severní Amerika epidemiologie   MeSH