Statistical Analysis with Latent Variables. Case Study (University Libraries)

Session

Management, Business and Economics

Description

This paper aims to provide a satisfactory basis, both theoretically and methodologically, for a more accurate understanding and measurement of the phenomenon.This basis could serve as the beginning of a more organized and advanced research work of scholars of different disciplines.The study is based on the application of some of the most appropriate statistical methods for cross-sectional data, collected through some questionnaires, to students at Ismail Qemali University of VloraThe results of the study showed that the student community under study had a heterogeneous structure Considering the heterogeneous structure of the students helped to better understand the nature and epidemiology of the phenomenon The inclusion of some variables at the individual level contributed to the improvement and clarification of this heterogeneous latent structure, which did not occur with the inclusion of a variable at the contextual level (community). This study was attended by approximately 200 students including all study cycles. The study was conducted in the period March 2019 at the Ismail Qemali University of Vlora.

Keywords:

Library, Latent Variables, Behavioral Dependency, Student.

Session Chair

Ylber Limani

Session Co-Chair

Nehat Dobratiqi

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-550-19-2

Location

Pristina, Kosovo

Start Date

26-10-2019 3:15 PM

End Date

26-10-2019 3:30 PM

DOI

10.33107/ubt-ic.2019.357

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Oct 26th, 3:15 PM Oct 26th, 3:30 PM

Statistical Analysis with Latent Variables. Case Study (University Libraries)

Pristina, Kosovo

This paper aims to provide a satisfactory basis, both theoretically and methodologically, for a more accurate understanding and measurement of the phenomenon.This basis could serve as the beginning of a more organized and advanced research work of scholars of different disciplines.The study is based on the application of some of the most appropriate statistical methods for cross-sectional data, collected through some questionnaires, to students at Ismail Qemali University of VloraThe results of the study showed that the student community under study had a heterogeneous structure Considering the heterogeneous structure of the students helped to better understand the nature and epidemiology of the phenomenon The inclusion of some variables at the individual level contributed to the improvement and clarification of this heterogeneous latent structure, which did not occur with the inclusion of a variable at the contextual level (community). This study was attended by approximately 200 students including all study cycles. The study was conducted in the period March 2019 at the Ismail Qemali University of Vlora.