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Wyszukujesz frazę "latent class" wg kryterium: Temat


Wyświetlanie 1-3 z 3
Tytuł:
Analysis of latent class models in economic research
Analiza modeli zmiennych ukrytych w badaniach ekonomicznych
Autorzy:
Brzezińska, Justyna
Powiązania:
https://bibliotekanauki.pl/articles/425114.pdf
Data publikacji:
2016
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
latent class models
latent variables
categorical data analysis
R software
Opis:
Latent variable models are used and applied in many areas of the social and behavioral sciences. The increasing availability of computer packages for fitting such models makes latent variable models popular, known and applied in many scientific areas. Latent variable models have a very wide range of applications, especially in the presence of repeated observations, longitudinal data, and multilevel data. The basic model postulates an underlying categorical latent variable; within any category of the latent variable the manifest or observed categorical variables are assumed independent of one another (the axiom of conditional independence). The observed relationships between the manifest variables are thus assumed to result from the underlying classification of the data produced by the categorical latent variable. In this paper we present the theoretical and methodological aspects of latent variable models, as well as their application in R software in the field of economic research.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2016, 4 (54); 36-47
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Latent class analysis in the evaluation of items in survey research
Analiza klas ukrytych w ocenie pozycji testowych w badaniach sondażowych
Autorzy:
Brzezińska, Justyna
Powiązania:
https://bibliotekanauki.pl/articles/424869.pdf
Data publikacji:
2018
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
latent class analysis
log-linear models
item response
survey questions
Opis:
Latent class analysis has been widely used in the measurement models. Models based on latent variables have a wide range of applications in the presence of repeated ob-servations, longitudinal data, and multilevel data. In this paper we present and apply log-linear analysis as a method for the analysis of multi-way tables. We also present a latent variable model based on a variable that is not directly observed. The basic model postulates an underlying categorical latent variable; within any category of the latent variable the manifest or observed categorical variables are assumed independent of one another (axiom of conditional independence). In this paper we present the results of a survey research based on categorical data and the author`s questionnaire. We present the results of the latent class analysis in the classification of respondents into clusters characterized by similar attitudes and features in economic research. We also conduct a prior log-linear analysis for a multi-way contingency table. All the calculations are conducted in R.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2018, 22, 3; 55-65
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Item response theory models in the measurement theory with the use of LTM package in R
Analiza teorii odpowiedzi na pozycje testowe w teorii pomiaru z zastosowaniem pakietu LTM programu R
Autorzy:
Brzezińska, Justyna
Powiązania:
https://bibliotekanauki.pl/articles/424883.pdf
Data publikacji:
2018
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
Item Response Theory (IRT)
measurement theory
latent class analysis
R software
Opis:
Item Response Theory (IRT) is an extension of the Classical Test Theory (CCT) and focuses on how specific test items function in assessing a construct. They are widely known in psychology, medicine, and marketing, as well as in social sciences. An item response model specifies a relationship between the observable examinee test performance and the unobservable traits or abilities assumed to underlie performance on the test. Within the broad framework of item response theory, many models can be operationalized because of the large number of choices available for the mathematical form of the item characteristic curves. In this paper we introduce several types of IRT models such as: the Rasch, and the Birnbaum model. We present the main assumptions for IRT analysis, estimation method, properties, and model selection methods. In this paper we present the application of IRT analysis for binary data with the use of the ltm package in R.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2018, 22, 1; 11-25
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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