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Yuen Yee Yen - One of the best experts on this subject based on the ideXlab platform.
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Interfuel substitution, hydroelectricity consumption and CO2 emissions mitigation in Malaysia: evidence from a transcendental logarithm (trans-log) cost function framework.
Environmental science and pollution research international, 2020Co-Authors: Mufutau Opeyemi Bello, Sakiru Adebola Solarin, Yuen Yee YenAbstract:The main objective of this paper is to estimate the interfuel substitution elasticities between hydropower and the fossil fuels of coal and natural gas used in the generation of electricity for Malaysia. Due to the violation of the assumption behind the ordinary least squares (OLS) method on account of the Correlated Error terms in the system of equations, the econometrics techniques of seemingly unrelated regression (SUR) was adopted to obtain the parameter estimates using dataset that covers the period 1988 to 2016. The main finding is that there exists substantial substitution possibility between hydropower and fossil fuels in the generation of electricity for Malaysia. CO2 emissions mitigation scenarios were also conducted to explore the possible effects of substituting fossil fuels for hydropower to generate electricity. The results show that switching from high carbon-emitting fuels to renewable energy such as hydropower will substantially reduce CO2 emission and assist the country towards achieving the carbon emissions reduction targets. Policy recommendations are offered in the body of the manuscript.
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interfuel substitution hydroelectricity consumption and co2 emissions mitigation in malaysia evidence from a transcendental logarithm trans log cost function framework
2018Co-Authors: Mufutau Opeyemi Bello, Sakiru Adebola Solarin, Yuen Yee YenAbstract:The main objective of this paper is to estimate the interfuel substitution elasticities between hydropower and the fossil fuels of coal and natural gas used in the generation of electricity for Malaysia. Due to the violation of the OLS method on account of the Correlated Error terms in the system of equations, the econometrics techniques of seemingly unrelated regression (SUR) was adopted to obtain the parameter estimates using dataset that covers the period 1988 to 2016. The main finding is that there exists substantial substitution possibility between hydropower and fossil fuels in the generation of electricity for Malaysia. CO2 emissions mitigation scenarios were also conducted to explore the possible effects of substituting fossil fuels for hydropower to generate electricity. The results show that switching from high carbon emitting fuels to renewable energy such as hydropower will substantially reduce CO2 emission and assist the country towards achieving the carbon emissions reduction targets. Policy recommendations are offered in the body of the manuscript.
Julie D Henry - One of the best experts on this subject based on the ideXlab platform.
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the positive and negative affect schedule panas construct validity measurement properties and normative data in a large non clinical sample
British Journal of Clinical Psychology, 2004Co-Authors: John R Crawford, Julie D HenryAbstract:Objectives: To evaluate the reliability and validity of the PANAS (Watson, Clark, & Tellegen, 1988b) and provide normative data. Design: Cross-sectional and correlational. Method: The PANAS was administered to a non-clinical sample, broadly representative of the general adult UK population (N = 1,003). Competing models of the latent structure of the PANAS were evaluated using confirmatory factor analysis. Regression and correlational analysis were used to determine the influence of demographic variables on PANAS scores as well as the relationship between the PANAS with measures of depression and anxiety (the HADS and the DASS). Results: The best-fitting model (robust comparative fit index = .94) of the latent structure of the PANAS consisted of two Correlated factors corresponding to the PA and NA scales, and permitted Correlated Error between items drawn from the same mood subcategories (Zevon & Tellegen, 1982). Demographic variables had only very modest influences on PANAS scores and the PANAS exhibited measurement invariance across demographic subgroups. The reliability of the PANAS was high, and the pattern of relationships between the PANAS and the DASS and HADS were consistent with tripartite theory. Conclusion: The PANAS is a reliable and valid measure of the constructs it was intended to assess, although the hypothesis of complete independence between PA and NA must be rejected. The utility of this measure is enhanced by the provision of large-scale normative data.
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the depression anxiety stress scales dass normative data and latent structure in a large non clinical sample
British Journal of Clinical Psychology, 2003Co-Authors: John R Crawford, Julie D HenryAbstract:Objectives. To provide UK normative data for the Depression Anxiety and Stress Scale (DASS) and test its convergent, discriminant and construct validity. Design. Cross-sectional, correlational and confirmatory factor analysis (CFA). Methods. The DASS was administered to a non-clinical sample, broadly representative of the general adult UK population ( N = 1,771) in terms of demographic variables. Competing models of the latent structure of the DASS were derived from theoretical and empirical sources and evaluated using confirmatory factor analysis. Correlational analysis was used to determine the influence of demographic variables on DASS scores. The convergent and discriminant validity of the measure was examined through correlating the measure with two other measures of depression and anxiety (the HADS and the sAD), and a measure of positive and negative affectivity (the PANAS). Results. The best fitting model (CFI = .93) of the latent structure of the DASS consisted of three Correlated factors corresponding to the depression, anxiety and stress scales with Correlated Error permitted between items comprising the DASS subscales. Demographic variables had only very modest influences on DASS scores. The reliability of the DASS was excellent, and the measure possessed adequate convergent and discriminant validity Conclusions. The DASS is a reliable and valid measure of the constructs it was intended to assess. The utility of this measure for UK clinicians is enhanced by the provision of large sample normative data. The Depression Anxiety Stress Scale (DASS) is a 42-item self-report measure of anxiety, depression and stress developed by Lovibond and Lovibond (1995) which is increasingly used in diverse settings. Its popularity is partly attributable to the fact
Tracey A Brickell - One of the best experts on this subject based on the ideXlab platform.
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the development of two new computer adaptive tests to evaluate feelings of loss in caregivers of individuals with traumatic brain injury tbi careqol feelings of loss self and feelings of loss person with traumatic brain injury
Archives of Physical Medicine and Rehabilitation, 2019Co-Authors: Noelle E Carlozzi, Michael A Kallen, Phillip A Ianni, Angelle M Sander, Elizabeth A Hahn, Rael T Lange, Tracey A BrickellAbstract:Abstract Objective To develop new patient-reported outcome (PRO) measures to better understand feelings of loss in caregivers of individuals with traumatic brain injury (TBI). Design Cross-sectional survey study. Setting Three TBI Model Systems rehabilitation hospitals, an academic medical center, and a military medical treatment facility. Participants Caregivers (N=560) of civilians with TBI (n=344) or service members/veterans (SMVs) with TBI (n=216). Interventions Not applicable. Main Outcome Measures Traumatic Brain Injury Caregiver Quality of Life (TBI-CareQOL) Feelings of Loss-Self and TBI-CareQOL Feelings of Loss-Person with Traumatic Brain Injury item banks. Results While the initial exploratory and confirmatory factor analyses of the feelings of loss item pool (98 items) potentially supported a unidimensional set of items, further analysis indicated 2 different factors: Feelings of Loss-Self (43 items) and Feelings of Loss-Person with TBI (20 items). For Feelings of Loss-Self, an additional 13 items were deleted due to item-response theory-based item misfit; the remaining 30 items had good overall model fit (comparative fit index [CFI]=0.96, Tucker-Lewis index [TLI]=.96, root mean squared Error of approximation [RMSEA]=.10). For Feelings of Loss-Other, 1 additional item was deleted due to an associated high Correlated Error modification index value; the final 19 items evidenced good overall model fit (CFI=0.97, TLI=.97, RMSEA=.095). The final item banks were developed to be administered as either a Computer Adaptive Test (CAT) or a short-form (SF). Clinical experts approved the content of the 6-item SFs of the 2 measures (3-week test-retest was r=.87 for Feelings of Loss-Self and r=.85 for Feelings of Loss-Person with TBI). Conclusions The findings from this study resulted in the development of 2 new PROs to assess feelings of loss in caregivers of individuals with TBI; TBI-CareQOL Feelings of Loss-Self and TBI-CareQOL Feelings of Loss-Person with TBI. Good psychometric properties were established and an SF was developed for ease of use in clinical situations. Additional research is needed to determine concurrent and predictive validity of these measures in the psychological treatment of those caring for persons with TBI.
Mufutau Opeyemi Bello - One of the best experts on this subject based on the ideXlab platform.
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Interfuel substitution, hydroelectricity consumption and CO2 emissions mitigation in Malaysia: evidence from a transcendental logarithm (trans-log) cost function framework.
Environmental science and pollution research international, 2020Co-Authors: Mufutau Opeyemi Bello, Sakiru Adebola Solarin, Yuen Yee YenAbstract:The main objective of this paper is to estimate the interfuel substitution elasticities between hydropower and the fossil fuels of coal and natural gas used in the generation of electricity for Malaysia. Due to the violation of the assumption behind the ordinary least squares (OLS) method on account of the Correlated Error terms in the system of equations, the econometrics techniques of seemingly unrelated regression (SUR) was adopted to obtain the parameter estimates using dataset that covers the period 1988 to 2016. The main finding is that there exists substantial substitution possibility between hydropower and fossil fuels in the generation of electricity for Malaysia. CO2 emissions mitigation scenarios were also conducted to explore the possible effects of substituting fossil fuels for hydropower to generate electricity. The results show that switching from high carbon-emitting fuels to renewable energy such as hydropower will substantially reduce CO2 emission and assist the country towards achieving the carbon emissions reduction targets. Policy recommendations are offered in the body of the manuscript.
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interfuel substitution hydroelectricity consumption and co2 emissions mitigation in malaysia evidence from a transcendental logarithm trans log cost function framework
2018Co-Authors: Mufutau Opeyemi Bello, Sakiru Adebola Solarin, Yuen Yee YenAbstract:The main objective of this paper is to estimate the interfuel substitution elasticities between hydropower and the fossil fuels of coal and natural gas used in the generation of electricity for Malaysia. Due to the violation of the OLS method on account of the Correlated Error terms in the system of equations, the econometrics techniques of seemingly unrelated regression (SUR) was adopted to obtain the parameter estimates using dataset that covers the period 1988 to 2016. The main finding is that there exists substantial substitution possibility between hydropower and fossil fuels in the generation of electricity for Malaysia. CO2 emissions mitigation scenarios were also conducted to explore the possible effects of substituting fossil fuels for hydropower to generate electricity. The results show that switching from high carbon emitting fuels to renewable energy such as hydropower will substantially reduce CO2 emission and assist the country towards achieving the carbon emissions reduction targets. Policy recommendations are offered in the body of the manuscript.
John R Crawford - One of the best experts on this subject based on the ideXlab platform.
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the positive and negative affect schedule panas construct validity measurement properties and normative data in a large non clinical sample
British Journal of Clinical Psychology, 2004Co-Authors: John R Crawford, Julie D HenryAbstract:Objectives: To evaluate the reliability and validity of the PANAS (Watson, Clark, & Tellegen, 1988b) and provide normative data. Design: Cross-sectional and correlational. Method: The PANAS was administered to a non-clinical sample, broadly representative of the general adult UK population (N = 1,003). Competing models of the latent structure of the PANAS were evaluated using confirmatory factor analysis. Regression and correlational analysis were used to determine the influence of demographic variables on PANAS scores as well as the relationship between the PANAS with measures of depression and anxiety (the HADS and the DASS). Results: The best-fitting model (robust comparative fit index = .94) of the latent structure of the PANAS consisted of two Correlated factors corresponding to the PA and NA scales, and permitted Correlated Error between items drawn from the same mood subcategories (Zevon & Tellegen, 1982). Demographic variables had only very modest influences on PANAS scores and the PANAS exhibited measurement invariance across demographic subgroups. The reliability of the PANAS was high, and the pattern of relationships between the PANAS and the DASS and HADS were consistent with tripartite theory. Conclusion: The PANAS is a reliable and valid measure of the constructs it was intended to assess, although the hypothesis of complete independence between PA and NA must be rejected. The utility of this measure is enhanced by the provision of large-scale normative data.
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the depression anxiety stress scales dass normative data and latent structure in a large non clinical sample
British Journal of Clinical Psychology, 2003Co-Authors: John R Crawford, Julie D HenryAbstract:Objectives. To provide UK normative data for the Depression Anxiety and Stress Scale (DASS) and test its convergent, discriminant and construct validity. Design. Cross-sectional, correlational and confirmatory factor analysis (CFA). Methods. The DASS was administered to a non-clinical sample, broadly representative of the general adult UK population ( N = 1,771) in terms of demographic variables. Competing models of the latent structure of the DASS were derived from theoretical and empirical sources and evaluated using confirmatory factor analysis. Correlational analysis was used to determine the influence of demographic variables on DASS scores. The convergent and discriminant validity of the measure was examined through correlating the measure with two other measures of depression and anxiety (the HADS and the sAD), and a measure of positive and negative affectivity (the PANAS). Results. The best fitting model (CFI = .93) of the latent structure of the DASS consisted of three Correlated factors corresponding to the depression, anxiety and stress scales with Correlated Error permitted between items comprising the DASS subscales. Demographic variables had only very modest influences on DASS scores. The reliability of the DASS was excellent, and the measure possessed adequate convergent and discriminant validity Conclusions. The DASS is a reliable and valid measure of the constructs it was intended to assess. The utility of this measure for UK clinicians is enhanced by the provision of large sample normative data. The Depression Anxiety Stress Scale (DASS) is a 42-item self-report measure of anxiety, depression and stress developed by Lovibond and Lovibond (1995) which is increasingly used in diverse settings. Its popularity is partly attributable to the fact
