Question

One of your friends is conducting research as a part of her degree programme. She finds difficulty with data analysis and has approaches you for help. How would you help her? Describe the following processes that support data analysis (10-20 words each)

Process Description

3.1)     Comparing

3.2)     Contrasting

3.3)     Reflecting

3.4)     Distinguishing relevant from irrelevant

3.5)     Drawing interdisciplinary connection

Answer 1

Data analysis

Data is the recorded observations that are usually presented in a structured format. Data analysis is a process of decomposition of data into components in order to study a complex thing , concept or theory.

1. Comparing :

To assess the similarities or difference ( contrasting) between two or more things.Comparing process is used in data analysis to declare two things to be similar in some respect.

2. Contrasting:

Contrasting means set in opposition to, showing the differences between. There are comparison and contrasting process in data analysis. These type of data analysis involve either comparing or contrasting the two subjects or doing both

3. Reflecting

Reflection is a process of making meaning of the results from data that collected. This process that supports the data analysis gives the insight from data, it encourages improvement in one's abilities.

4. distinguish from relevant from irrelevant

Relevant means directly connected or pertinent to topic, irrelevant datas are not applicable, not related, not connected or unimportant. It is an important step in data analysis to distinguish between irrelevant and relevant data.

5. Drawing interdisciplinary connection

Interdisciplinary connections pertaining to multiple distinct academic disciplines or field of study. Interdisciplinary connections will improve the academic process like teaching and learning and also helps in research in terms better collaboration and application of results into different disciplines.