Object

Title: Latent class analysis in the evaluation of items in survey research

Title in english:

Analiza klas ukrytych w ocenie pozycji testowych w badaniach sondażowych

Creator:

Brzezińska, Justyna

Description:

Econometrics = Ekonometria, 2018, Vol. 22, No. 3, s. 55-65

Abstrakt:

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

Publisher:

Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu

Place of publication:

Wrocław

Date:

2018

Resource Type:

artykuł

Resource Identifier:

doi:10.15611/eada.2018.3.04 ; oai:dbc.wroc.pl:45478

Language:

eng

Relation:

Econometrics = Ekonometria, 2018, Vol. 22, No. 3

Access Rights:

Dla wszystkich zgodnie z licencją

License:

CC BY-NC-ND 3.0 PL

Location:

Uniwersytet Ekonomiczny we Wrocławiu

Group publication title:

Ekonometria = Econometrics

Format:

application/pdf

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