Development and psychometric evaluation of waste separation beliefs and behaviors scale among female students of medical sciences university based on the extended parallel process model

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Abstract

Background

The increasing production of un-recycled waste is a great threat to public health. Therefore, assessment and measurement of people’s beliefs and perceptions with regard to these threats can contribute to the development of suitable educational messages promoting waste separation behaviors. This study aimed to carry out the scale development and psychometric evaluation of behaviors and beliefs associated with waste separation among female students.

Method

This methodological research was performed in 2019. The primary questionnaire was developed based on the assessment of waste separation beliefs and behaviors based on the extended parallel process model. Afterwards, to confirm the content and face validity of the research tool, the opinions of 14 faculty members and certain students were asked for, respectively. In order to assess the construct validity of the questionnaire, exploratory factor analysis was performed based on the data collected from 386 female students in Isfahan University of Medical Sciences, Iran. The internal and external reliability of the tool was determined through estimating Cronbach’s alpha and test-retest based on intraclass correlation (ICC) index, respectively.

Results

The mean age and academic semester of the students were 22 ± 1.9 years and 5.58 ± 2.6, respectively. The primary version of the questionnaire was designed with 65 items; one item was omitted during the content validity process. Construct validity with factor analysis technique yielded nine dimensions including 64 items with a factor loading above 0.3. The overall reliability of the research tool was confirmed at Cronbach’s alpha of 0.87. Furthermore, the ICC of the entire questionnaire was 0.89.

Conclusion

According to the results of the study, the final 64-item questionnaire could be used by various researchers to assess waste separation beliefs and behaviors considering suitable psychometric features.

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Author and article information

Contributors

Fereshteh Zamani-Alavijeh: fe.zamani@hlth.mui.ac.ir , fe.zamani@gmail.com

Journal

Journal ID (nlm-ta): Environ Health Prev Med

Journal ID (iso-abbrev): Environ Health Prev Med

Title: Environmental Health and Preventive Medicine

Publisher: BioMed Central (London )

ISSN (Print): 1342-078X

ISSN (Electronic): 1347-4715

Publication date (Electronic): 16 April 2020

Publication date PMC-release: 16 April 2020

Publication date (Print): 2020

Volume: 25

Electronic Location Identifier: 12

Affiliations

[1 ]GRID grid.411036.1, ISNI 0000 0001 1498 685X, Student Research Committee, School of Health, , Isfahan University of Medical Sciences, ; Isfahan, Iran

[2 ]GRID grid.411230.5, ISNI 0000 0000 9296 6873, Department of Health Education and Promotion, Public Health School, , Ahvaz Jundishapur University of Medical Sciences, ; Ahvaz, Iran

[3 ]GRID grid.411036.1, ISNI 0000 0001 1498 685X, Department of Biostatistics and Epidemiology, School of Health, , Isfahan University of Medical Sciences, ; Isfahan, Iran

[4 ]GRID grid.411036.1, ISNI 0000 0001 1498 685X, Department of Health Education and Promotion, School of Health, , Isfahan University of Medical Sciences, ; Hezar Jarib, Avenue, Isfahan, 81676-36954 Iran

Article

Publisher ID: 849

DOI: 10.1186/s12199-020-00849-6

PMC ID: 7164206

PubMed ID: 32299347

SO-VID: 8117382e-118f-488b-8c32-05ea764a6210

License:

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.