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Dataset regarding access to information for persons with disabilities in Serbia

Thumbnail
2020
325.pdf (622.7Kb)
Autori
Kadijević, Đorđe
Masliković, Dejan
Tomić, Bojan M.
Članak u časopisu (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentu
Apstrakt
Access to information is key for improving the position of persons with disabilities in society. Familiarity with state regulations regarding access to information could be influenced by communication with state authorities concerning the rights of persons with disabilities, especially access to information. Familiarity with these regulations and the specified communication with state authorities might be affected by a number of background variables, such as age and education completed. To clarify relations among these variables, which would enable state authorities and other relevant institutions to define and implement policies that might improve matters, there is a need to prepare and analyze appropriate datasets concerning them. This paper describes such a dataset, preliminary in nature, obtained from answers to part of a questionnaire administered to persons with disabilities living in Serbia. Persons with innate or acquired physical and/or sensory disability were included in the ...research. This dataset contains raw data of nine variables, as well as analyzed data of ten variables derived from most of the raw data. Besides correlative analyses, the dataset was previously analyzed using PLS (partial least squares) path modeling. To reuse the dataset, a path model with Bayesian estimations may be applied, whose outcomes for different model priors (prior distributions) may be compared to those of the PLS path modeling. The dataset also contains data of two variables that may be included in further research.

Ključne reči:
Access to information / Bayesian estimations / Binary variables / Path modeling / Persons with disabilities / State regulations
Izvor:
Data In Brief, 2020, 32
Izdavač:
  • Elsevier, Amsterdam
Finansiranje / projekti:
  • Ministry of Culture and Information of the Republic of Serbia
  • Ministarstvo prosvete, nauke i tehnološkog razvoja Republike Srbije, Ugovor br. 200018 (Institut za pedagoška istraživanja, Beograd) (RS-200018)
  • Ministarstvo prosvete, nauke i tehnološkog razvoja Republike Srbije, Ugovor br. 200053 (Univerzitet u Beogradu, Institut za multidisciplinarna istraživanja) (RS-200053)

DOI: 10.1016/j.dib.2020.106309

ISSN: 2352-3409

PubMed: 32995397

WoS: 000583229100270

Scopus: 2-s2.0-85091369470
[ Google Scholar ]
URI
http://ipir.ipisr.org.rs/handle/123456789/328
Kolekcije
  • Radovi istraživača / Researchers’ publications
Institucija/grupa
IPI
TY  - JOUR
AU  - Kadijević, Đorđe
AU  - Masliković, Dejan
AU  - Tomić, Bojan M.
PY  - 2020
UR  - http://ipir.ipisr.org.rs/handle/123456789/328
AB  - Access to information is key for improving the position of persons with disabilities in society. Familiarity with state regulations regarding access to information could be influenced by communication with state authorities concerning the rights of persons with disabilities, especially access to information. Familiarity with these regulations and the specified communication with state authorities might be affected by a number of background variables, such as age and education completed. To clarify relations among these variables, which would enable state authorities and other relevant institutions to define and implement policies that might improve matters, there is a need to prepare and analyze appropriate datasets concerning them. This paper describes such a dataset, preliminary in nature, obtained from answers to part of a questionnaire administered to persons with disabilities living in Serbia. Persons with innate or acquired physical and/or sensory disability were included in the research. This dataset contains raw data of nine variables, as well as analyzed data of ten variables derived from most of the raw data. Besides correlative analyses, the dataset was previously analyzed using PLS (partial least squares) path modeling. To reuse the dataset, a path model with Bayesian estimations may be applied, whose outcomes for different model priors (prior distributions) may be compared to those of the PLS path modeling. The dataset also contains data of two variables that may be included in further research.
PB  - Elsevier, Amsterdam
T2  - Data In Brief
T1  - Dataset regarding access to information for persons with disabilities in Serbia
VL  - 32
DO  - 10.1016/j.dib.2020.106309
ER  - 
@article{
author = "Kadijević, Đorđe and Masliković, Dejan and Tomić, Bojan M.",
year = "2020",
abstract = "Access to information is key for improving the position of persons with disabilities in society. Familiarity with state regulations regarding access to information could be influenced by communication with state authorities concerning the rights of persons with disabilities, especially access to information. Familiarity with these regulations and the specified communication with state authorities might be affected by a number of background variables, such as age and education completed. To clarify relations among these variables, which would enable state authorities and other relevant institutions to define and implement policies that might improve matters, there is a need to prepare and analyze appropriate datasets concerning them. This paper describes such a dataset, preliminary in nature, obtained from answers to part of a questionnaire administered to persons with disabilities living in Serbia. Persons with innate or acquired physical and/or sensory disability were included in the research. This dataset contains raw data of nine variables, as well as analyzed data of ten variables derived from most of the raw data. Besides correlative analyses, the dataset was previously analyzed using PLS (partial least squares) path modeling. To reuse the dataset, a path model with Bayesian estimations may be applied, whose outcomes for different model priors (prior distributions) may be compared to those of the PLS path modeling. The dataset also contains data of two variables that may be included in further research.",
publisher = "Elsevier, Amsterdam",
journal = "Data In Brief",
title = "Dataset regarding access to information for persons with disabilities in Serbia",
volume = "32",
doi = "10.1016/j.dib.2020.106309"
}
Kadijević, Đ., Masliković, D.,& Tomić, B. M.. (2020). Dataset regarding access to information for persons with disabilities in Serbia. in Data In Brief
Elsevier, Amsterdam., 32.
https://doi.org/10.1016/j.dib.2020.106309
Kadijević Đ, Masliković D, Tomić BM. Dataset regarding access to information for persons with disabilities in Serbia. in Data In Brief. 2020;32.
doi:10.1016/j.dib.2020.106309 .
Kadijević, Đorđe, Masliković, Dejan, Tomić, Bojan M., "Dataset regarding access to information for persons with disabilities in Serbia" in Data In Brief, 32 (2020),
https://doi.org/10.1016/j.dib.2020.106309 . .

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