A large literature shows that socio-political variables, notably values, worldviews and political orientation alongside demographic variables are keys factors affecting climate change perceptions (Elsevier, vol.55, March 2019, p. 25-35). I am trying to understand what must be considered by researchers in order to be able to extrapolate the results obtained from cross-analyzes studies of social representations (SR) of climate change, without risk of bias.
Thank you Professor Evens Emmanuel for your point! You are right! I've read the text on Elsevier, it's an article written by Poortinga et al., . Then, the reference is: Poortinga, W., Whitmarsh, L., Steg, L., Böhm, G., & Fisher, S. (2019). Climate change perceptions and their individual-level determinants: A cross-European analysis. Global environmental change, 55, 25-35.
Sorry for the confusion. Should I repost the question with the right reference?
Dear colleague, thank you for your question. However, I would like to ask you for a little clarification. You quoted in the question. I want you to do a verification, is it (Elsevier, vol. 55, March 2019, p. 25-35) or else (Poortinga et al., 2019).
Poortinga, W., Whitmarsh, L., Steg, L., Böhm, G., & Fisher, S. (2019). Climate change perceptions and their individual-level determinants: A cross-European analysis. Global environmental change, 55, 25-35.
Regards
Thank you Professor Evens Emmanuel for your point! You are right! I've read the text on Elsevier, it's an article written by Poortinga et al., . Then, the reference is: Poortinga, W., Whitmarsh, L., Steg, L., Böhm, G., & Fisher, S. (2019). Climate change perceptions and their individual-level determinants: A cross-European analysis. Global environmental change, 55, 25-35.
Sorry for the confusion. Should I repost the question with the right reference?
Thank you for your answer Dr Andrew Paul McKenzie Pegman ! The risks of bias are indeed very high in the extrapolation. However, this estimation method is often used by researches. How can we minimize bias or avoid them in the case of cross-analysis? Perhaps inexperienced researchers should avoid it.
You can avoid bias with good experimental design and Correct sample size
Thank you for your additional answer Dr Andrew Paul McKenzie Pegman ! I take note and will pay attention to experimental design and sample size as suggested. However, I thank using of that method requires many experiences.
Thank you Dr A. Kettab for your answers! J'apprecierais bien avoir le dernier rapport sur les changements climatiques. Il me sera utile!
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