SEM with simplicity and accuracy

Bentler, Peter M.

doi:10.1016/j.jcps.2010.03.002

Cited by 61 publications

(47 citation statements)

References 43 publications

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“…All the Likert scale response options were anchored, ranging from 1 = Strongly disagree to 7 = Strongly Agree. In the analyses, the "Do not know" options were treated as missing data, and the missing-at-random (MAR) approach [124] was used to analyze the data. With the MAR method the responses were reweighted and calculated with unbiased estimates when the response rates differed per item [125].…”

Section: Research Methods and Datamentioning

confidence: 99%

Eco-Friendly Brands to Drive Sustainable Development: Replication and Extension of the Brand Experience Scale in a Cross-National Context

2017

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Abstract:The purpose of this study is to explore how consumers perceive eco-friendliness in their brand experiences and how this can be measured cross-nationally. This is a replication-extension study based on an existing brand experience scale. Data were collected in India and Finland from smartphone users (N = 1008). The fitness of the brand experience model is validated cross-nationally with structural equation modeling. The empirical data consisting of consumers' responses on the Apple, Samsung, and Nokia brands confirm that there is a unique dimension of eco-friendliness in the general brand experiences of consumers, and it is generalizable cross-nationally in India and Finland. The study presents a consumer-focused measure of sustainable development that could be used to track how consumers perceive the eco-friendliness of brands. The paper links consumer experiences that guide sustainable consumption behavior to the macro-level management of sustainable development. This paper extends previous research on brand experience measurement by testing cross-nationally a scale including a dimension for measuring eco-friendliness. The brand experience measurement scale could aid companies in tracking the success of their sustainable development initiatives on the brand level.

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Section: Research Methods and Datamentioning

confidence: 99%

Eco-Friendly Brands to Drive Sustainable Development: Replication and Extension of the Brand Experience Scale in a Cross-National Context

2017

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“…The usual guidelines regarding fi t indices are largely disputed and some authors clearly allow fi gures as high as 0.10 as upper limits for RMSEA ( Browne & Cudeck, 1993 ) for data similar to these. As already mentioned, the RMSEA seems to be particularly sensitive to misspecifi cation in cases of large samples ( Marsh, et al ., 2004 ;Chen, et al ., 2008;Bentler, 2010 ) and low unique variance ( Browne, et al ., 2002 ;Stuive, 2007 ). Moreover, the behavior of the RMSEA remains largely unravelled in the context of ordered-categorical data.…”

Section: Discussionmentioning

confidence: 99%

Metric invariance of the French version of the Contingencies of Self-Worth Scale¹^,²^,³

Kempenaers

Boeck

Dehon

et al. 2014

Comprehensive Psychology

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The Contingencies of Self-Worth Scale is a self-report questionnaire assessing seven types of 'reward' for self-worth. To test its construct validity, the French version was administered to 787 undergraduate students of both sexes and the data submitted to confi rmatory factor analyses (CFA) with the robust MLM or WLSMV estimators. The reliability of the 7-factor structure as well as its sex invariance were checked with the multiple-group factor model for orderedcategorical measures. The correlated 7-factor structure fi tted the data in both sex groups separately fi rst, and then in a simultaneous analysis, confi rming the adequacy of the measurement model. Metric invariance was also supported. CFA statistical tests, fi t statistics, and parameter estimates as well as indices of local ill-fi t were analyzed keeping as basic goal to preserve the questionnaire in its original form. Scalar equivalence across gender was not supported. The exploration of method biases, interacting with gender, as well as with alternative models, could allow to test whether diff erent measurement theories might underlie the data gathered with the French version of the CSWS.

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“…We then utilized partial least squares structural equation modeling (PLS-SEM) according to the guidelines in Hair et al [78]. PLS-SEM allows the exploration of theories and novel conceptual models using small sample sizes when the theory has not yet been fully developed and the model is complex [79,80]. We used the IBM SPSS version 24 for the PCA analysis and SmartPLS tool (version 3.2.6.)…”

Section: Research Methodology and Datamentioning

confidence: 99%

“…for the PLS-SEM. In the analysis, missing data were handled using the missing-at-random (MAR) approach [80], so the responses were calculated and reweighted with unbiased estimates in cases where the response rates differed [81]. Household income/month <3000 € 38.5 3000-6000 € 37.0 >6000 € 24.5…”

Section: Research Methodology and Datamentioning

confidence: 99%

Policy Influence on Consumers’ Evolution into Prosumers—Empirical Findings from an Exploratory Survey in Europe

Kotilainen

Saari

2018

Sustainability

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Abstract:The energy sector is in transition to a flexible and sustainable energy system based on renewable energy sources. This complex transition is affecting multiple levels in the sociotechnical system. One driver of the transition is climate change that enforces the policy push from the macro level to change the way energy is produced, delivered, and used. As part of the energy system evolution, the role of the end user in the energy sector is undergoing profound changes, and consumers are increasingly being empowered to participate actively in the production and use of energy. This article investigates how policies might affect consumers' interests in becoming prosumers of energy. We explore consumers' attitudes toward using renewable energy technologies (RET) by means of an empirical consumer survey that was conducted in five European countries. The partial least squares structural equation modeling (PLS-SEM) method was utilized to analyze the survey results. Our findings suggest that both economic and non-economic policies affect consumer attitudes toward using renewable energy technologies. We conclude that policies have different effects on consumers and prosumers, who have already made the decision to adopt renewable energy solutions. Based on the findings, we propose a set of policy and managerial implications.

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SEM with simplicity and accuracy

Cited by 61 publications

References 43 publications

Eco-Friendly Brands to Drive Sustainable Development: Replication and Extension of the Brand Experience Scale in a Cross-National Context

Eco-Friendly Brands to Drive Sustainable Development: Replication and Extension of the Brand Experience Scale in a Cross-National Context

Metric invariance of the French version of the Contingencies of Self-Worth Scale¹^,²^,³

Policy Influence on Consumers’ Evolution into Prosumers—Empirical Findings from an Exploratory Survey in Europe

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SEM with simplicity and accuracy

Cited by 61 publications

References 43 publications

Eco-Friendly Brands to Drive Sustainable Development: Replication and Extension of the Brand Experience Scale in a Cross-National Context

Eco-Friendly Brands to Drive Sustainable Development: Replication and Extension of the Brand Experience Scale in a Cross-National Context

Metric invariance of the French version of the Contingencies of Self-Worth Scale1,2,3

Policy Influence on Consumers’ Evolution into Prosumers—Empirical Findings from an Exploratory Survey in Europe

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Metric invariance of the French version of the Contingencies of Self-Worth Scale¹^,²^,³