Structural Equation Modeling on Likert Scale Data With Transformation by Successive Interval Method and With No Transformation

Mondiana, Yani Quarta; Pramoedyo, Henny; Sumarminingsih, Eni

doi:10.29322/ijsrp.8.5.2018.p7751

Cited by 13 publications

(9 citation statements)

References 3 publications

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“…An Exploratory Factor Analysis (EFA) was used to find the detrimental conceptual model. Before performing EFA, the Kaiser-Meyer-Olkin (KMO) and Bartlett's sphericity tests (BTS) were used to assess the data fit [116]. The KMO test was used to determine the proportion of variance shared by variables.…”

Section: Measurement Model Testingmentioning

confidence: 99%

Do Perceived Risk, Perception of Self-Efficacy, and Openness to Technology Matter for Solar PV Adoption? An Application of the Extended Theory of Planned Behavior

et al. 2021

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Solar PV (photovoltaic) technology has gained considerable attention worldwide, as it can help reduce the adverse effects of CO2 emissions. Though the government of Pakistan is adopting solar PV technology due to its environmental friendliness nature, studies focusing on consumer’s acceptance of solar PV are limited in the country. This research aims to close this knowledge gap by looking into the various considerations that may influence consumers’ willingness to adopt (WTA) solar PV for household purposes. The study further contributes by expanding the conceptual framework of the theory of planned behavior by including three novel factors (perceived risk, perception of self-efficacy, and openness to technology). The analysis is based on questionnaire data collected from 683 households in Pakistan’s provincial capitals, including Lahore, Peshawar, Quetta, Gilgit, and Karachi. The proposed hypotheses are investigated using the state-of-the-art structural equation modeling approach. The empirical results reveal that social norms, perception of self-efficacy, and belief about solar PV benefits positively influence consumers’ WTA solar PV. On the contrary, the perceived risk and solar PV cost have negative effects. Notably, the openness to technology has an insignificant effect. This study can help government officials and policymakers explore cost-effective, risk-free technologies to lessen the environmental burden and make the country more sustainable. Based on research results, study limitations, as well as prospective research directions, are also addressed.

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Section: Measurement Model Testingmentioning

confidence: 99%

Do Perceived Risk, Perception of Self-Efficacy, and Openness to Technology Matter for Solar PV Adoption? An Application of the Extended Theory of Planned Behavior

et al. 2021

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“…BN can be applied to model systems or datasets with limited information or high uncertainty (Chen & Pollino, 2012;Uusitalo, 2007) and represent a promising tool to reveal complex associations among disparate data types, including questionnaires (Noyes, Cho, Ravel, Forney, & Abdo, 2018). They have been applied in several different fields of research, including water resources management (Bertone et al, 2016), education (Fernández, Morales, Rodríguez, & Salmerón, 2011;García, Amandi, Schiaffino, & Campo, 2007;Xenos, 2004), and climate change related beliefs (Cook & Lewandowsky, 2016), and they can deal with non-normal, non-linear data, outliers and small sample sizes, unlike a number of traditional statistical methods such as structural equation modelling (Mondiana, Pramoedyo, & Sumarminingsih, 2018).…”

Section: Bayesian Network Developmentmentioning

confidence: 99%

From Thoughts to Actions: The Importance of Climate Change Education in Enhancing Students’ Self-Efficacy

Muroi

Bertone

2019

Aust. J. environ. educ.

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The relation between the understanding and belief of the site-specific dangers of climate change and the behaviour that individuals take to mitigate their impacts was assessed to investigate the psychological antecedent to pro-environmental behaviour; a necessity to mitigate anthropogenic climate change at the individual level. A quantitative cross-sectional design was employed to measure beliefs and behaviour of university students. Correlation was measured between the belief in one’s ability to affect change and pro-environmental behaviour. The hypothesis that nations facing greater climate threat would behave accordingly was tested on the two largest national representatives of the sample, China and Australia. In addition, a naïve Bayesian network, coupled with a self-organising map, was developed to explore correlations between self-efficacy and participants’ socio-demographic features. Results showed that Chinese students are more likely to have higher self-efficacy, while such trend was not noticed for Australians. Similarly, participants with higher educational qualifications, older, and with higher paid jobs also have a higher chance of presenting pro-environmental behaviour. Despite the study limitations, there seems to be evidence suggesting that educational and climate change policies have affected students’ self-efficacy and individual commitment to mitigation.

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“…Referring to Mondiana et al (2018) KMO and the BTS determine the samples ability to run a factor analysis. In this sample the values of KMO and BTS both highly indicate this ability.…”

Section: Discussionmentioning

confidence: 99%

“…In this sample the values of KMO and BTS both highly indicate this ability. According to Mondiana et al (2018) the sample is suitable when reaching a KMO over 0.60 and the BTS should be at α < 0.05. Here the KMO is at 0.80 and the BTS is 0.000.…”

Section: Discussionmentioning

confidence: 99%

Learning barriers at the workplace: Development and validation of a measurement instrument

Anselmann

2022

Front. Educ.

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While facilitating factors to learning at the workplace have been well investigated, throughout the past decade less has emerged about the barriers that occur when approaching a learning activity at the workplace. Barriers to learning at the workplace are factors that hinder the initiation of successful learning, interrupt learning possibilities, delay proceedings or end learning activities much earlier than intended. The aim of this study is to develop and validate an instrument that measures barriers to informal and formal learning at the workplace. An interview pre-study asked 26 consultants about their learning barriers based on existing instruments. Using this data as groundwork, a novel measuring instrument of barriers to informal and formal learning was developed. The instrument is comprised of five factors with items on individual barriers, organizational/structural barriers, technical barriers, change and uncertainty. To validate the scales, a cross-sectional questionnaire with 112 consultancy employees and freelancers was conducted. The validation included exploratory factor analysis, internal consistency assessment, confirmatory factor analysis (CFA) and convergent validity assessment. The results generated a three-factor scale barrier measurement for formal learning and a two-factor scale barrier measurement for informal learning. All scales featured Cronbach’s alpha values ranging between 0.80 and 0.86. With this developed and validated scales it is intended to help offer insights into factors that hinder individuals from learning at the workplace, and show organizations their potential for change.

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Structural Equation Modeling on Likert Scale Data With Transformation by Successive Interval Method and With No Transformation

Cited by 13 publications

References 3 publications

Do Perceived Risk, Perception of Self-Efficacy, and Openness to Technology Matter for Solar PV Adoption? An Application of the Extended Theory of Planned Behavior

Do Perceived Risk, Perception of Self-Efficacy, and Openness to Technology Matter for Solar PV Adoption? An Application of the Extended Theory of Planned Behavior

From Thoughts to Actions: The Importance of Climate Change Education in Enhancing Students’ Self-Efficacy

Learning barriers at the workplace: Development and validation of a measurement instrument

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