Quantitative Analysis in Research
The Data analysis is an important step as it offers an accurate information on the proposed research objective. Once the data is transformed to any statistical tool (e.g. SPSS, R, SAS), the raw data needs to be analysed using appropriate tool (e.g. classical regression, ANCOVA, MANCOVA, Logistics, Structural Equation Modelling, PLS, MMR, Conjoint, ARIMA, GRMM). while that should be in the order of hypotheses and research objectives developed in your research introduction and literature review section. Analysed the data presented in the form of tables and figures.
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