Awareness and Responsiveness to Environmental Issues by Youths: A Logistic Regression Approach

Onuoha Chinyere Adaku; Nwakuya Maureen Tobechukwu; Ngobiri Nnaemeka Chinedu; Edache Bernard Ochekwu; Onuoha Philip

doi:doi:10.11648/j.aas.20230801.14

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Awareness and Responsiveness to Environmental Issues by Youths: A Logistic Regression Approach

Onuoha Chinyere Adaku, Nwakuya Maureen Tobechukwu, Ngobiri Nnaemeka Chinedu, Edache Bernard Ochekwu, Onuoha Philip

Published in Advances in Applied Sciences (Volume 8, Issue 1)

Received: 10 February 2023 Accepted: 25 February 2023 Published: 21 March 2023

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Abstract

This research was carried out among student in Nigerian schools. The logistic regression model and ordinal logistic model were fitted with Awareness to environmental issues (AEI) with two levels and Responsiveness to environmental issues (REI) with five levels as the response variable. The predictor variables are age, geographical zones, type of school and location of school. The fitted logistic regression was shown to be a good fit and the result revealed that the older the students the more responsive they are to environmental issues. The overall effect of zone and type of school were statistically significant though the type of school had a negative effect. The ordinal logistic regression was equally fitted and the results also show that the older the student the more aware they are of environmental issues. The result also shows that the zones, urban schools and students in senior secondary and university are associated with higher likelihood of being aware of environmental issues and these effects are significant. The summary of the results reveals that though there is awareness of environmental issues in Nigeria but responsiveness towards is very low among students. Hence, we recommend that courses on environmental issues and responsiveness towards them should be incorporated in the academic curriculum of students especially in the universities since age has a positive effect on both RIE and AEI.

Published in	Advances in Applied Sciences (Volume 8, Issue 1)
DOI	10.11648/j.aas.20230801.14
Page(s)	28-35
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2023. Published by Science Publishing Group

Keywords

Awareness to Environmental Issues, Responsiveness to Environmental Issues, Logistic Regression, Ordinal Logistic Regression

References

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[15]	Singh, V., Dwivedi, S. N. & Deo, S. V. S. (2020). Ordinal logistic regression model describing factors associated with extent of nodal involvement in oral cancer patients and its prospective validation. BMC Med Res Methodol 20, 95. https://doi.org/10.1186/s12874-020-00985-1
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APA Style

Onuoha Chinyere Adaku, Nwakuya Maureen Tobechukwu, Ngobiri Nnaemeka Chinedu, Edache Bernard Ochekwu, Onuoha Philip. (2023). Awareness and Responsiveness to Environmental Issues by Youths: A Logistic Regression Approach. Advances in Applied Sciences, 8(1), 28-35. https://doi.org/10.11648/j.aas.20230801.14

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ACS Style

Onuoha Chinyere Adaku; Nwakuya Maureen Tobechukwu; Ngobiri Nnaemeka Chinedu; Edache Bernard Ochekwu; Onuoha Philip. Awareness and Responsiveness to Environmental Issues by Youths: A Logistic Regression Approach. Adv. Appl. Sci. 2023, 8(1), 28-35. doi: 10.11648/j.aas.20230801.14

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AMA Style

Onuoha Chinyere Adaku, Nwakuya Maureen Tobechukwu, Ngobiri Nnaemeka Chinedu, Edache Bernard Ochekwu, Onuoha Philip. Awareness and Responsiveness to Environmental Issues by Youths: A Logistic Regression Approach. Adv Appl Sci. 2023;8(1):28-35. doi: 10.11648/j.aas.20230801.14

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@article{10.11648/j.aas.20230801.14,
  author = {Onuoha Chinyere Adaku and Nwakuya Maureen Tobechukwu and Ngobiri Nnaemeka Chinedu and Edache Bernard Ochekwu and Onuoha Philip},
  title = {Awareness and Responsiveness to Environmental Issues by Youths: A Logistic Regression Approach},
  journal = {Advances in Applied Sciences},
  volume = {8},
  number = {1},
  pages = {28-35},
  doi = {10.11648/j.aas.20230801.14},
  url = {https://doi.org/10.11648/j.aas.20230801.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aas.20230801.14},
  abstract = {This research was carried out among student in Nigerian schools. The logistic regression model and ordinal logistic model were fitted with Awareness to environmental issues (AEI) with two levels and Responsiveness to environmental issues (REI) with five levels as the response variable. The predictor variables are age, geographical zones, type of school and location of school. The fitted logistic regression was shown to be a good fit and the result revealed that the older the students the more responsive they are to environmental issues. The overall effect of zone and type of school were statistically significant though the type of school had a negative effect. The ordinal logistic regression was equally fitted and the results also show that the older the student the more aware they are of environmental issues. The result also shows that the zones, urban schools and students in senior secondary and university are associated with higher likelihood of being aware of environmental issues and these effects are significant. The summary of the results reveals that though there is awareness of environmental issues in Nigeria but responsiveness towards is very low among students. Hence, we recommend that courses on environmental issues and responsiveness towards them should be incorporated in the academic curriculum of students especially in the universities since age has a positive effect on both RIE and AEI.},
 year = {2023}
}

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TY  - JOUR
T1  - Awareness and Responsiveness to Environmental Issues by Youths: A Logistic Regression Approach
AU  - Onuoha Chinyere Adaku
AU  - Nwakuya Maureen Tobechukwu
AU  - Ngobiri Nnaemeka Chinedu
AU  - Edache Bernard Ochekwu
AU  - Onuoha Philip
Y1  - 2023/03/21
PY  - 2023
N1  - https://doi.org/10.11648/j.aas.20230801.14
DO  - 10.11648/j.aas.20230801.14
T2  - Advances in Applied Sciences
JF  - Advances in Applied Sciences
JO  - Advances in Applied Sciences
SP  - 28
EP  - 35
PB  - Science Publishing Group
SN  - 2575-1514
UR  - https://doi.org/10.11648/j.aas.20230801.14
AB  - This research was carried out among student in Nigerian schools. The logistic regression model and ordinal logistic model were fitted with Awareness to environmental issues (AEI) with two levels and Responsiveness to environmental issues (REI) with five levels as the response variable. The predictor variables are age, geographical zones, type of school and location of school. The fitted logistic regression was shown to be a good fit and the result revealed that the older the students the more responsive they are to environmental issues. The overall effect of zone and type of school were statistically significant though the type of school had a negative effect. The ordinal logistic regression was equally fitted and the results also show that the older the student the more aware they are of environmental issues. The result also shows that the zones, urban schools and students in senior secondary and university are associated with higher likelihood of being aware of environmental issues and these effects are significant. The summary of the results reveals that though there is awareness of environmental issues in Nigeria but responsiveness towards is very low among students. Hence, we recommend that courses on environmental issues and responsiveness towards them should be incorporated in the academic curriculum of students especially in the universities since age has a positive effect on both RIE and AEI.
VL  - 8
IS  - 1
ER  -

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Author Information

Onuoha Chinyere Adaku

Institute of Natural Resources, Environment, and Sustainable Development, University of Port Harcourt, Port Harcourt, Nigeria
Nwakuya Maureen Tobechukwu

Department of Mathematics and Statistics, University of Port Harcourt, Port Harcourt, Nigeria
Ngobiri Nnaemeka Chinedu

Department of Pure and Industrial Chemistry, University of Port Harcourt, Port Harcourt, Nigeria
Edache Bernard Ochekwu

Department of Plant Science and Biotechnology, University of Port Harcourt, Port Harcourt, Nigeria
Onuoha Philip

Department of Nursing, University of West Indies, St. Augustine, Trinidad and Tobago

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APA Style

Onuoha Chinyere Adaku, Nwakuya Maureen Tobechukwu, Ngobiri Nnaemeka Chinedu, Edache Bernard Ochekwu, Onuoha Philip. (2023). Awareness and Responsiveness to Environmental Issues by Youths: A Logistic Regression Approach. Advances in Applied Sciences, 8(1), 28-35. https://doi.org/10.11648/j.aas.20230801.14

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ACS Style

Onuoha Chinyere Adaku; Nwakuya Maureen Tobechukwu; Ngobiri Nnaemeka Chinedu; Edache Bernard Ochekwu; Onuoha Philip. Awareness and Responsiveness to Environmental Issues by Youths: A Logistic Regression Approach. Adv. Appl. Sci. 2023, 8(1), 28-35. doi: 10.11648/j.aas.20230801.14

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AMA Style

Onuoha Chinyere Adaku, Nwakuya Maureen Tobechukwu, Ngobiri Nnaemeka Chinedu, Edache Bernard Ochekwu, Onuoha Philip. Awareness and Responsiveness to Environmental Issues by Youths: A Logistic Regression Approach. Adv Appl Sci. 2023;8(1):28-35. doi: 10.11648/j.aas.20230801.14

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@article{10.11648/j.aas.20230801.14,
  author = {Onuoha Chinyere Adaku and Nwakuya Maureen Tobechukwu and Ngobiri Nnaemeka Chinedu and Edache Bernard Ochekwu and Onuoha Philip},
  title = {Awareness and Responsiveness to Environmental Issues by Youths: A Logistic Regression Approach},
  journal = {Advances in Applied Sciences},
  volume = {8},
  number = {1},
  pages = {28-35},
  doi = {10.11648/j.aas.20230801.14},
  url = {https://doi.org/10.11648/j.aas.20230801.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aas.20230801.14},
  abstract = {This research was carried out among student in Nigerian schools. The logistic regression model and ordinal logistic model were fitted with Awareness to environmental issues (AEI) with two levels and Responsiveness to environmental issues (REI) with five levels as the response variable. The predictor variables are age, geographical zones, type of school and location of school. The fitted logistic regression was shown to be a good fit and the result revealed that the older the students the more responsive they are to environmental issues. The overall effect of zone and type of school were statistically significant though the type of school had a negative effect. The ordinal logistic regression was equally fitted and the results also show that the older the student the more aware they are of environmental issues. The result also shows that the zones, urban schools and students in senior secondary and university are associated with higher likelihood of being aware of environmental issues and these effects are significant. The summary of the results reveals that though there is awareness of environmental issues in Nigeria but responsiveness towards is very low among students. Hence, we recommend that courses on environmental issues and responsiveness towards them should be incorporated in the academic curriculum of students especially in the universities since age has a positive effect on both RIE and AEI.},
 year = {2023}
}

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TY  - JOUR
T1  - Awareness and Responsiveness to Environmental Issues by Youths: A Logistic Regression Approach
AU  - Onuoha Chinyere Adaku
AU  - Nwakuya Maureen Tobechukwu
AU  - Ngobiri Nnaemeka Chinedu
AU  - Edache Bernard Ochekwu
AU  - Onuoha Philip
Y1  - 2023/03/21
PY  - 2023
N1  - https://doi.org/10.11648/j.aas.20230801.14
DO  - 10.11648/j.aas.20230801.14
T2  - Advances in Applied Sciences
JF  - Advances in Applied Sciences
JO  - Advances in Applied Sciences
SP  - 28
EP  - 35
PB  - Science Publishing Group
SN  - 2575-1514
UR  - https://doi.org/10.11648/j.aas.20230801.14
AB  - This research was carried out among student in Nigerian schools. The logistic regression model and ordinal logistic model were fitted with Awareness to environmental issues (AEI) with two levels and Responsiveness to environmental issues (REI) with five levels as the response variable. The predictor variables are age, geographical zones, type of school and location of school. The fitted logistic regression was shown to be a good fit and the result revealed that the older the students the more responsive they are to environmental issues. The overall effect of zone and type of school were statistically significant though the type of school had a negative effect. The ordinal logistic regression was equally fitted and the results also show that the older the student the more aware they are of environmental issues. The result also shows that the zones, urban schools and students in senior secondary and university are associated with higher likelihood of being aware of environmental issues and these effects are significant. The summary of the results reveals that though there is awareness of environmental issues in Nigeria but responsiveness towards is very low among students. Hence, we recommend that courses on environmental issues and responsiveness towards them should be incorporated in the academic curriculum of students especially in the universities since age has a positive effect on both RIE and AEI.
VL  - 8
IS  - 1
ER  -

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