Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Wyszukujesz frazę "Principal Components Analysis" wg kryterium: Temat


Wyświetlanie 1-3 z 3
Tytuł:
Assessment of interpersonal trust of Poles by the principal components analysis and log-linear modeling
Autorzy:
Grześkowiak, Alicja
Powiązania:
https://bibliotekanauki.pl/articles/425118.pdf
Data publikacji:
2014
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
interpersonal trust
principal components analysis
log-linear analysis
Opis:
Interpersonal trust in Poland is found to be at a very low level. This paper aims at the analysis of this phenomenon on the basis of European Social Survey data. Principal components analysis was applied to examine the degree of interpersonal trust in Poland in relation to other countries. Associations of three dimensions of trust, i.e. trustfulness, fairness and helpfulness, were analyzed by log-linear modeling as well as an agreement measure relevant for categorical variables. A composite indicator based on the first principal component scores confirmed the relatively poor social trust of Poles. A moderate agreement on any two of the three facets of this phenomenon was uncovered and in most cases no interactions among all three aspects of interpersonal trust were detected.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2014, 1(43); 74-86
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
System szkolnictwa wyższego a kapitał intelektualny regionu w wybranych krajach europejskich
Higher education system vs. intellectual capital of the region, based on selected European countries
Autorzy:
Rószkiewicz, Małgorzata
Powiązania:
https://bibliotekanauki.pl/articles/424819.pdf
Data publikacji:
2013
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
intellectual capital
higher education system
principal components analysis
re¬gression analysis
Opis:
This paper analyzes the relation between intellectual capital and development of higher education system. The measurement was executed for the set of 16 UE countries, including Poland. Applied approach into the measurement of intellectual capital was regarded as the extension of the proposals presented by the author in the Report of Intellectual Capital of Poland (www.innowacyjnosc.gpw.pl/kip). The paper focuses on crucial features of the higher education system which was extracted in the procedure of principal components. Using these components a comparative analysis of Polish higher education system in Poland was examined and collated with systems of other UE countries. The study also examined the influence of these crucial factors on the level of intellectual capital. A regression model describing dependence of intellectual capital on these core components was estimated. The results show a big disproportion between quality and range of the Polish higher education system. That means that the prevalent development of Polish higher education system focuses on the scale of functioning but extensive development does not follow development of quality. However, the model of the relation estimated for a set of UE countries shows that the qualitative features of the higher education system play a crucial role in shaping the level of intellectual capital.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2013, 2(40); 9-21
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Functional principal components analysis on the example of the achievements of students in the years 2009-2017
Autorzy:
Sztemberg-Lewandowska, Mirosława
Powiązania:
https://bibliotekanauki.pl/articles/425289.pdf
Data publikacji:
2019
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
level of students' knowledge
functional data
longitudinal data
functional principal components analysis
Opis:
The functional principal components analysis joins the advantages of the principal components analysis and provide analysis of dynamic data. The main difference in both methods is the type of data the PCA is based on multivariate data, whereas the FPCA on the functional data including curves and trajectories, i.e. a series of individual observations, not a single observation, as usual. The functional principal components analysis with functional data, will be used in the analysis. This method allows the analysis of dynamic data. The purpose of the article is to apply of functional principal components analysis to the problem of student’s achievements. The article was compared the level of students' knowledge during different stages of education in 2009-2017. The analysis covers the average exam results after the II, III and IV stage of education.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2019, 23, 4; 16-29
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

    Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies