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Perceptions of CO2 Report - Global CCS Institute

Perceptions of CO2 Report - Global CCS Institute

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6.3 Statistical analysisThe survey data was analysed using both descriptive and inferential statistics. Descriptive statisticsincluded the frequency <strong>of</strong> responses and mean (average) responses as appropriate. Inferentialstatistics included correlations, cross tab analyses with chi-square tests, analysis <strong>of</strong> variance, andmultiple regression analysis as appropriate to identify substantive differences between the groups<strong>of</strong> respondents.• Cross tab analyses with chi-square tests were used to detect categorical effects such asdifference by country and by the respondent’s level <strong>of</strong> knowledge.• Paired t-tests were conducted to compare between the first assessment and the secondassessment on CO 2 impressions, <strong>CCS</strong> impressions, and opinions on <strong>CCS</strong> implementation.• ANOVA and multiple regressions were conducted between the first assessment and thesecond assessment to explain the effect <strong>of</strong> providing information on CO 2 impressions.• Finally, additional sets <strong>of</strong> multiple regressions were conducted to explain the factorsinfluencing the formation <strong>of</strong> overall impressions on CO 2 and <strong>CCS</strong> and opinions on <strong>CCS</strong>implementation.For regression analysis, stepwise methods were used where the threshold probability for entry was0.05 and that for removal was 0.01. The final output was called “the best regression.” Independentvariables were adopted from the responses to questions in the questionnaire, and ranged fromdemographic variables, to values and beliefs, to opinions. These variables and categories areshown in Appendix C.Understanding how individuals perceive carbon dioxide | 15

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