Multilevel analysis
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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
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
... Model for Change 45 -- 3.1 What Is the Purpose of the Multilevel Model for Change! ... ... The Level-2 Submodel for Systematic Interindividual Differences in Change 57 -- 3.4 Fitting the Multilevel ... ... with the Multilevel Model for Change 75 -- 4.1 Example: Changes in Adolescent Alcohol Use 76 -- 4.2 ... ... 85 -- 4.4 First Steps: Fitting Two Unconditional Multilevel Models for Change 92 xviii Contents -- 4.5 ... ... Model’s Error Covariance Structure 243 -- 7.1 The “Standard ” Specification of the Multilevel Model ...
xx, 644 s. : il, tab. ; 24 cm
- MeSH
- longitudinální studie MeSH
- sociální vědy metody MeSH
- výzkum MeSH
- výzkumný projekt MeSH
- Publikační typ
- monografie MeSH
- Konspekt
- Sociologie
- NLK Obory
- sociologie
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
Kendall's library of statistics ; 3
2nd ed. 178 s.
Multilevel analysis is used to evaluate the elements which compose fan attendance in Czech basketball. The data set analyzed is comprised of a ten year study of 18 teams which played in the highest Czech basketball league. This study differs from other demand studies which evaluate fan attendance in that a cultural secondary sport, basketball, is studied in a globally semi-periphery country, the Czech Republic. Previous studies have focused on primary sports in globally core countries. The study shows multilevel analysis to be a useful methodology for demand studies of fan attendance. It was shown that there is a slightly increasing linear tendency in attendance across time. The independent variables of final place and number of foreigners and are measured across time as the time-varying predictors of the dependent variable of fan attendance within teams. The independent variable of hall capacity was considered as the time-invariant predictor of growth rates and attendance initial statuses between teams. It was shown that final place is and number of foreigner players is not a good single predictor of attendance, respectively. Finally, the findings confirmed that the growth rate within teams is limited by the team’s hall capacity.
- MeSH
- basketbal psychologie MeSH
- financování organizované MeSH
- lidé MeSH
- longitudinální studie MeSH
- sporty fyziologie psychologie MeSH
- statistika jako téma MeSH
- volnočasové aktivity MeSH
- Check Tag
- lidé MeSH
- Geografické názvy
- Česká republika MeSH
BACKGROUND: The socioeconomic and ethnic composition of urban neighbourhoods may affect mortality, but evidence on Central European cities is lacking. The aim of this study was to assess the associations between socioeconomic and ethnic neighbourhood indicators and the mortality of individuals aged 20-64 years old in the two biggest cities of the Slovak Republic. METHODS: We obtained data on the characteristics of neighbourhoods and districts (educational level, unemployment, income and share of Roma) and on individual mortality of residents aged 20-64 years old, for the two largest cities in the Slovak Republic (Bratislava and Kosice) in the period 2003-2005. We performed multilevel Poisson regression analyses adjusted for age and gender on the individual (mortality), neighbourhood (education level and share of Roma in population) and district levels (unemployment and income). RESULTS: The proportions of Roma and of low-educated residents were associated with mortality at the neighbourhood level in both cities. Mutually adjusted, only the association with the proportion of Roma remained in the model (risk ratio 1.02; 95 % confidence interval 1.01-1.04). The area indicators - high education, income and unemployment - were not associated with mortality. CONCLUSION: The proportion of Roma is associated with early mortality in the two biggest cities in the Slovak Republic.
- MeSH
- charakteristiky bydlení statistika a číselné údaje MeSH
- disparity zdravotní péče etnologie statistika a číselné údaje MeSH
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mortalita etnologie MeSH
- rizikové faktory MeSH
- Romové statistika a číselné údaje MeSH
- socioekonomické faktory * MeSH
- velkoměsta epidemiologie etnologie MeSH
- víceúrovňová analýza MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Geografické názvy
- Slovenská republika MeSH
- velkoměsta epidemiologie etnologie MeSH
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
- Bayesova věta MeSH
- lidé MeSH
- lineární modely MeSH
- magnetická rezonanční tomografie metody přístrojové vybavení využití MeSH
- mapování mozku metody přístrojové vybavení MeSH
- mozek fyziologie patologie MeSH
- statistika jako téma metody MeSH
- teoretické modely MeSH
- zobrazování dat využití MeSH
- Check Tag
- lidé MeSH