Evaluation of College Students with Application of Latent Class Analysis

• Authors: Rybicka, Aneta , Pełka, Marcin

Title variants

EN

Ocena preferencji uczniów szkoły policealnej z wykorzystaniem analizy klas ukrytych

Abstracts

EN

In social sciences, especially in economy, to reveal relations between variables it’s easy to apply many known statistical tools when we deal with observable (measureable) variables. The problems appear when dealing with latent variables – that are not directly observed and they are of subjective matter. It’s also an important issue to measure relations between latent variables. The example of latent variables are preferences. The preferences play a very important role in economy. Very often real market decisions, choices (or answers in a questionnaire) are described by non-metric variables (nominal and ordinal). These variables are also called qualitative. The latent class analysis allows to reveal hidden relations between observable variables. The observable variables allow, with a specified probability, to find a non-observable phenomenon. The latent class analysis allows to analyze the qualitative data [see: McCutcheon 1987, p. 7; 11; Hagenaars 1993, p. 21–23]. LCA was introduced by Lazarsfeld in 1950 [1968]. The paper presents evaluation of college students with application of latent class analysis. To obtain such a goal data collected (winter recruitment of 2008/2009) by a college in Walbrzych was used.

Keywords

EN

Latent class analysis; segmentation; evaluation of college students

• Publisher: Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
• Journal: Acta Universitatis Lodziensis. Folia Oeconomica
• Year: 2012
• Volume: 269

Dates

published

2012

Contributors

author

Rybicka, Aneta

author

Pełka, Marcin

other

Uniwersytet Ekonomiczny we Wrocławiu; Wydział Ekonomii, Zarządzania i Turystyki; Katedra Ekonometrii i Informatyki

Identifiers

URI

http://hdl.handle.net/11089/1898