Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

Refine search results

Journals help

  1. 1 Psychologia Społeczna

Authors help

  1. 1 Radkiewicz P.

  2. 1 Zieliński M. W.

Years help

  1. 1 2010

Results found: 1

first rewind previous Page / 1 next fast forward last

Search results

Search:
in the keywords:  INDEPENDENCE OF OBSERVATIONS
help Sort By:

help Limit search:
first rewind previous Page / 1 next fast forward last
1

Hierarchiczne modele liniowe. Co nam daja i kiedy warto je stosowac

100%
Zieliński M. W., Radkiewicz P.
Psychologia Społeczna
|
2010
|
vol. 5
|
issue 2-3(14)
217-233
EN
Independence of observations is one of the key assumptions underlying regression analysis and other methods based on the general linear model. The assumption of independence of observations is met, when a score on an outcome variable obtained by an individual is not dependent on results of other persons. This article introduces the hierarchical linear modeling (HLM) - statistical method that is recommended, when there is a real chance, that the assumption of observations' independence is violated. The structure of our article is threefold. In the first part we present basic methodological reasons for applying HLM method, stressing its advantages in comparison to the traditional regression analysis based on the ordinary least squares estimation. The second part introduces the most important theoretical notions underlying hierarchical models - a division into fixed and random effects, a multilevel data structure (including cross-level interaction), and a specific approach to variance components. In the third part we show two empirical examples of HLM application, including a detailed interpretation of their results.
first rewind previous Page / 1 next fast forward last
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.