Analysis and interpretation: What is the difference between analysing and interpreting data? Analysis is the process of translating raw, messy data into something recognisable and understandable. Interpretation generates meaning from this analysis and conveys that meaning to others. A highly structured approach is required to analyse and interpret your data. By being systematic with your analysis and interpretation, you can produce findings of real value.
How textbook helps: The book, Analysing And Interpreting Your Data, is a useful resource explaining how to prepare data for analysis and interpretation. With its guidance, you can analyse and give meaning to numbers and words that may, at first, appear meaningless. Additionally, the publication describes how to interpret your analysis by making your data accessible to, and comparable by, you and others.
Student story: Muhammad had a large amount of relatively unstructured data from different sources. Following the book’s advice, Muhammad was able to check and prepare his data. It also assisted him to analyse and interpret his data in a logical manner. Muhammad extracted robust results from his survey data with in-depth statistical analysis. Using thematic analysis, he identified the emergent themes from his interview transcripts. Consequently, Muhammad was able to generate credible findings for his dissertation.
“The textbook was excellent. It helped me to get the most out of my data. Without it, I would not have properly planned and conducted such a first-rate analysis and interpretation.” Muhammad Mahdl, MSc Supply Chain Management.