Help with Primary Data Dissertation Results Analysis

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Outline of Analyzing Data: (chapter 4 or 5)

This is the process by which data is evaluated using both analytical and critical reasoning to study each element of the data obtained to get helpful interpretation of the data.

Main Data Classification Methods by Our Data Analysts:

Qualitative data- This type of data involves explanation in statements and cannot be presented in forms of numbers. Qualitative data can be observed but cannot be measured.

Quantitative data – It is usually presented in numbers or quantified. Involves data that can be measured and be expressed in numeric values.

After data is collected, cleaned and analyzed, it becomes useful as it can be used in making of decisions in almost every sector in the research field.

Once data has been analyzed, it is helpful in it provides insights on how a problem identified can be solved and also creates a deeper comprehension of the problem.

Data Analysis Process

1.      Data Interpretation:

This involves the explanation of the results of the research from the instruments used to collect data such as questionnaires and data that has been gathered from written sources which are then demonstrated graphically using graphs, models, curves and figures.

2.      Discussion:

Discussion involves a detailed explanation of what the findings of the research state. This process also entails providing indicative conclusions of the research findings.

3.      Critical Data Analysis

Critical analysis is subjective writing where the writer evaluates the text. The writer creates a comparison of his work with other peoples’ work and pointing out its weaknesses and strengths and also explaining the meaning of the collected data.

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