Use a quantitative approach (both discriptive and inferential statistics) like SPSS and spearman's rank order) or better still ANOVA to carryout the analysis

It depends on which data you used, such as secondary data, panel data or primary day (questionnaires or focus-group interviews). Furthermore, you can choose the data analysis method depending on which data you collected or extracted. The data analysis method can be as fellows: Shearson correlation, multiple regression analysis, principal axis factor analysis, least-squares method, SEM etc.

The research tools such as SPSS, AMOS or STATA can be employed to do data analysis. Finally, you can present your report.

This is just my understanding. Hope it can help. Thanks.

Hi Aaron Agbeche and Xiaoshun Qin thanks a lot for your suggestions. I was planning to collect the data from waste management reports and on field visits. To estimate GHG emissions I was planning to use the IPCC guidelines and emissions factors for open burning, biological treatment and landfills. The same for indirect emissions during waste transport and energy use if that would be the case. I wasn't aware I had to use Anova or some correlation statistics for data analysis. Maybe you could recommend some literature the explains the methodologies your are suggesting? That would be very helpful!

Hello, Dalia!

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Since you intend to go to the field, it mean you intend to use a survey questionnaire to elicit information from respondents. Such information should be collected and analysed subject to the hypothesis you stated earlier and what ever technique you adopt will lead to a findings and subsequent recommendations