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Faktorová analýza jako známá neznámá (aneb metoda hlavních komponent a varimax nejsou vždy ideální postup)

100%
Soukup P.
Sociologický časopis. Czech Sociological Review
|
2021
|
vol. 57
|
issue 4
455-484
EN
This article seeks to show that, although factor analysis (mostly in its exploratory version) is a method frequently applied by social-science researchers (it is often also discussed in basic data analysis textbooks), only a very basic version of it is used, with settings that are far from optimal. However, what settings are used can have major implications, primarily in the form of conceptual problems, where the exploratory version is often used instead of the confirmatory version. Other settings used can also have an impact on the results. These are mainly partial options, which are used mainly in the exploratory version, in particular the choice of the correct correlation coefficients, the choice of method for the initial extraction of factors, the choice of the rotation method and the choice of the number of factors with which we want to work in the exploratory version. The text discusses the algorithms for ordinal variables, and the possibility of determining the number of factors through parallel analysis or MAP. The practical example discusses the advantages of the oblique rotation of factors. The article seeks to highlight good practices that best reflect the current state of the art of quantitative methodology and statistics. In addition to the general guidelines, the article contains practical advice about software and recommends a procedural schema for using factor analysis.
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Zastosowanie pakietu CAR do analizy korespondencji

63%
Tujaka A.
Zeszyty Naukowe ZPSB Firma i Rynek
|
2013
|
issue 1(44)
5-17
PL
W artykule przedstawiono zastosowanie pakietu programów CAR, zrealizowanych w środowisku Matlab, do analizy danych tabelarycznych. Opisano budowę pakietu, dobór parametrów przetwarzania, podano podstawy teoretyczne metody analizy korespondencji oraz sposoby interpretacji wyników. Omówiono dwa tryby pracy pakietu, pod nadzorem przyjaznego sprzęgu użytkownika oraz za pomocą szeregu poleceń. Program CAR realizuje analizę korespondencji z zastosowaniem rotacji osi, zarówno ortogonalnych jak i ukośnych, umożliwiając uzyskanie prostej struktury danych. Analizę struktury danych ułatwia graficzne przedstawienie wyników za pomocą wykresów biplot.
EN
Paper presents application of CAR package, implemented in Matlab environment, to analysis of contingency matrices. Structure of package as well as definition of processing parameters was presented, shortly presented the theoretical background of correspondence analysis and approaches to output interpretation. Two modes of CAR operation are possible: using the user friendly GUI or issuing commands in command lines. CAR implements a few rotation and axes scaling modes: accessible are orthogonal and oblique rotation, leading to simple data structure. Analysis of structure is simplified by graphical presentation as biplots.
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