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Proč užívat hierarchické lineární modely?

100%
Soukup P.
Sociologický časopis. Czech Sociological Review
|
2006
|
vol. 42
|
issue 5
987-1012
EN
The article briefly describes multilevel models and presents their simplest applications. After the methodological and statistical need for this procedure is explained, real data are used to demonstrate how a hierarchical linear model is constructed. The article presents models with a random intercept, models with random slopes, and models with explanatory variables measured at higher levels. In the conclusion, other possible applications of multilevel analysis are discussed, and the basic readings on multilevel analysis are presented.
2
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Několik poznámek k jedné obsesi českých sociálních věd – statistické významnosti

63%
Soukup P., Rabusic L.
Sociologický časopis. Czech Sociological Review
|
2007
|
vol. 43
|
issue 2
379-395
EN
The article explains the various errors that occur in the use of the concept of statistical significance. It points to the problem of census, nonprobability sampling, sampling of small populations and small samples. Another topic is the use of statistical methods on aggregated data files, especially from international research, and on weighted data. The authors point out that in many cases the use of statistical significance is not appropriate, and they warn against the incorrect use of traditional statistical methods. The article also presents methods that can be used to avoid the problems to which the authors have drawn attention.
3
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DETERMINATION OF COLLEGE EXPECTATIONS IN OECD COUNTRIES: THE ROLE OF INDIVIDUAL AND STRUCTURAL FACTORS

51%
Mateju P., Smith M. L., Soukup P., Basl J.
Sociologický časopis. Czech Sociological Review
|
2007
|
vol. 43
|
issue 6
1121-1148
EN
Renowned international experts in higher education financing have argued that, owing to large government deficits, tertiary education will not be able to open up and meet growing demand unless cost-sharing principles and efficient student financial aid programmes are introduced. Opponents of cost-sharing in higher education object that introducing tuition fees will raise inequality in access to higher education. Drawing on OECD data, and focusing on college expectations, the authors argue that the effects of ability, gender, and socio-economic background on college expectations are primarily shaped by the characteristics of secondary education systems, such as the degree of stratification and vocational specificity of secondary schools, while the principal characteristics of the tertiary education system, such as enrolment rates and the model of financing, play a much less important role. The results clearly show that, after controlling for the effects of secondary school system characteristics, cost-sharing, as such or by degree, does not affect the formation of college expectations by ability, gender, and socio-economic background as much as the selectivity of the secondary school system does.
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