Why use hierarchical linear models?;Proč užívat hierarchické lineární modely?

Sociologicky Casopis

Volumn 42, Issue 5, 2006, Pages 987-1012

  Soukup, Petr ^a  

^a CHARLES UNIVERSITY   (Czech Republic)

Author keywords

Hierarchical linear models; Multilevel analysis; PISA; Quantitative research; Research methodology

Indexed keywords

EID: 33846187286     PISSN: 00380288     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Review

References (23)

1. rd Edition. New York: Wiley.
2. Fox, J. 1997. Applied regression analysis, linear models, and related methods. Thousand Oaks, CA: Sage Publications.
3. rd Edition. London: Edward Arnold.
4. Hamplová, D. 2005. "Základni principy víceúrovňových modelů." SDA info 7 (2): 1-2.
5. Hedges, L. V., I. Olkin. 1985. Statistical Methods for Meta-Analysis. New York: Academic Press.
6. Hendl, J. 2004. Přehled statistických metod zpracování dat: analýza a metaanalýza dat. Praha: Portál.
7. Hosmer, D., S. Lemeshow. 2000. Applied Logistic Regression Analysis. New York: Wiley.
8. Hox, J. 1995. Multilevel Analysis: Techniques and Applications. Amsterdam: TT Publikates.
9. Hox, J. 2002. Applied Multilevel Analysis: Techniques and Applications. Mahwah, NJ: Lawrence Erlbaum Associates.
10. Hox, J., E. D. de Leeuw. 1994. "A comparison of nonresponse in mail, telephone, and face-to-face surveys. Applying multilevel modeling to meta-analysis." Quality & Quantity 28 (4): 329-344.
11. Jobson, J. D. 1991. Applied Multivariate Data Analysis. Vol. 1. Regression and Experimental Design. Berlin, Heidelberg, New York: Springer.
12. Kreft, I. G., J. de Leeuw. 1998. Introducing Multilevel Modeling. London: Sage Publications.
13. Lazarsfeld, P. F., H. Menzel. 1965. "On the Relation between Individual and Collective Properties." Pp. 422-440 in A. Etzioni (ed.). Complex Organizations. New York: Holt, Rinehart & Winston.
14. Ling, Zhu Ai. 2002. "What is a Meta-Analysis?" [online]. Singapore: Bioinformatics Institute [cit. 11. 4. 2006]. Dostupné z: 〈http://www.bii.a-star.edu.sg/docs/mig/MetaAnalysis.pdf〉.
15. Long, S. 1997. Regression Models for Categorical and Limited Dependent Data. Thousand Oaks, CA: Sage Publications.
16. Longford, N. T. 1993. Random Coefficient Models. Oxford: Oxford University Press.
17. Menard, S. 2002. Applied Logistic Regression Analysis. Thousand Oaks, CA: Sage Publications.
18. Matějů, P., J. Straková. 2006. "Vfceletá gymnázia a jejich role v reprodukci vzdělanostních nerovností." Pp. 194-219 in P. Matějů, J. Straková (eds.). (Ne)rovné šance na vzdělá ní. Praha: Academia.
19. "PISA 2003 Database." [online]. 2003. Praha: OECD [cit. dne 28. 1. 2006). Dostupné z: 〈http://pisaweb.acer.edu.au/oecd_2003/ oecd_pisa_data.html〉.
20. Raudenbush, S. W., A. S. Bryk. 2002. Hierarchical Linear Models. 2nd Edition, Newbury Park, CA: Sage Publications.
21. Robinson, W. S. 1950. "Ecological Correlations and the Behaviour of Individuals." American Sociological Review 15: 351-357.
22. Řeháková, B. 2000. "Nebojte se logistické regrese." Sociologický časopis 36 (4): 475-492.
23. Snijders, Tom A. B., Roel J. Bosker. 1999. Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling. London, Thousand Oaks, CA: Sage Publications.