Attitudes and behavioral intentions to protect the environment: How consistent is the structure of environmental concern in cross-national comparison?

Mayerl, Jochen; Best, Henning

doi:10.1080/00207659.2018.1560980

Cited by 29 publications

(27 citation statements)

References 56 publications

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“…Given that country rankings of latent means of WTS are frequently used in comparative studies, it is important to assess whether substantive findings are indeed trustworthy or are methodological artifacts due to lack of metric or scalar invariance. The latent variable WTS was, in combination with the latent variable environmental attitude (EA), previously tested for MI by Mayerl and Best (2019). Using MGCFA, they did not find scalar invariance, questioning comparisons of the latent means across countries.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

“…The latent variable WTS consists of three questions, see Table 1 for the exact wording, with answers on a five-point response scale (1 being very unwilling and 5 being very willing) and a cannot choose option for participants who could not or would not answer the question. WTS has, in combination with EA, been tested for MI by Mayerl and Best (2019) to explain the concept "environmental concern" when applied to 30 countries: Austria, Belgium, Bulgaria, Canada, Chile, Croatia, Czech Republic, Denmark, Finland, France, Germany, Great Britain, Israel, Japan, Latvia, Lithuania, Mexico, New Zealand, Norway, Philippines, Russia, Slovakia, Slovenia, South Africa, South Korea, Spain, Sweden, Switzerland, Turkey, and the United States. They found that, although metric invariance was achieved, scalar invariance was not.…”

Section: Methods and Data Datamentioning

confidence: 99%

“…ensured that any differences in outcomes are due to a method and not due to a difference in default settings of the model (for some models by default the parameters are fixed for the first group, while for other models it is the last group). We selected Spain as the reference country since the results presented by Mayerl and Best (2019) indicate that the results for WTS from this country can be seen as "average" within the group of thirty countries. For the BAMI method, both with and without alignment, we tested the effect of different priors on the models.…”

Section: Q12cmentioning

confidence: 99%

“…This translates into two latent variables that operationalize environmental concern: "environmental attitude" (EA) and "willingness to sacrifice (or pay) for the environment" (WTS). These two latent variables have been used both individually and in combination to operationalize environmental concern (Mayerl and Best, 2019). The latent variable WTS is frequently used to measure the extent to which people are willing to sacrifice something in their daily life (money, goods, time, comfort) to save the environment, and has been examined by several authors (e.g., Ivanova and Tranter, 2008;Fairbrother, 2013;Franzen and Vogl, 2013;Pampel, 2014;Sara and Nurit, 2014;Shao et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…Measurement invariance of the latent variable WTS has been investigated by Mayerl and Best (2019), and they established both configural and metric invariance, but not scalar invariance. Using ML MGCFA, Marquart-Pyatt (2012b) also found configural and metric invariance, but not scalar invariance.…”

Section: Introductionmentioning

confidence: 99%

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Approximate Measurement Invariance of Willingness to Sacrifice for the Environment Across 30 Countries: The Importance of Prior Distributions and Their Visualization

et al. 2021

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Nationwide opinions and international attitudes toward climate and environmental change are receiving increasing attention in both scientific and political communities. An often used way to measure these attitudes is by large-scale social surveys. However, the assumption for a valid country comparison, measurement invariance, is often not met, especially when a large number of countries are being compared. This makes a ranking of countries by the mean of a latent variable potentially unstable, and may lead to untrustworthy conclusions. Recently, more liberal approaches to assessing measurement invariance have been proposed, such as the alignment method in combination with Bayesian approximate measurement invariance. However, the effect of prior variances on the assessment procedure and substantive conclusions is often not well understood. In this article, we tested for measurement invariance of the latent variable “willingness to sacrifice for the environment” using Maximum Likelihood Multigroup Confirmatory Factor Analysis and Bayesian approximate measurement invariance, both with and without alignment optimization. For the Bayesian models, we used multiple priors to assess the impact on the rank order stability of countries. The results are visualized in such a way that the effect of different prior variances and models on group means and rankings becomes clear. We show that even when models appear to be a good fit to the data, there might still be an unwanted impact on the rank ordering of countries. From the results, we can conclude that people in Switzerland and South Korea are most motivated to sacrifice for the environment, while people in Latvia are less motivated to sacrifice for the environment.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Section: Methods and Data Datamentioning

confidence: 99%

Section: Q12cmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Approximate Measurement Invariance of Willingness to Sacrifice for the Environment Across 30 Countries: The Importance of Prior Distributions and Their Visualization

et al. 2021

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Relevant characteristics of food products based on alternative proteins according to European consumers

et al. 2021

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BACKGROUND: The objective of this study was to evaluate the importance attributed by consumers in Denmark (DK), Germany (DE) and Spain (ES) and across dietary lifestyles to the characteristics of different types of foods based on alternative proteins. Data were collected through a web-based survey (15 November to 16 December 2019). A total of 872 completed questionnaires from DK (n = 258), DE (n = 296) and ES (n = 318) were obtained.RESULTS: Four segments according to frequency of animal-and plant-based food consumption were identified: (i) no animal, high plant; (ii) low animal, high plant; (iii) moderate animal and plant; and (iv) high animal, moderate plant. Across all segments, foods based on legumes/pulses as well as plant-based spreads and products that do not resemble meat in taste and texture were of interest. Segment 4 was more in favour of 'health' as an important factor in new food products, whereas segment 1 was more likely to consider 'animal friendly', 'minimally processed', 'environmentally friendly' and 'produced with minimum CO 2 emissions' as key aspects. Furthermore, familiarity was of minor importance across the segments. This could indicate an opening for new, innovative plant-based alternatives that have their own identity.CONCLUSION: An overall interest exists towards innovative food products based on plant protein, specifically legumes/pulses, among consumers in the three countries and across different dietary lifestyles.

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Surveying Climate-Relevant Behavior

Hadler

Klösch

Schwarzinger

et al. 2022

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show abstract

Attitudes and behavioral intentions to protect the environment: How consistent is the structure of environmental concern in cross-national comparison?

Cited by 29 publications

References 56 publications

Approximate Measurement Invariance of Willingness to Sacrifice for the Environment Across 30 Countries: The Importance of Prior Distributions and Their Visualization

Approximate Measurement Invariance of Willingness to Sacrifice for the Environment Across 30 Countries: The Importance of Prior Distributions and Their Visualization

Relevant characteristics of food products based on alternative proteins according to European consumers

Surveying Climate-Relevant Behavior

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