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Further reading on interpretation and implication

A written text summarizes the previous lecture and recommend further readings on this component.

The last element in data commentary, interpretation and implication. Let’s get started.

1. Introduction to Data Commentary

Data commentary plays a crucial role in the results section of research papers. It consists of three key elements: location, highlights, and interpretation. In this article, we will explore these elements in detail and provide examples to help you enhance your data commentary skills in academic writing.

2. Location Elements and Indicative Summary

The location element identifies the specific figure or table being discussed, such as “Figure 1” or “Table 1.” It is usually followed by an appropriate verb, such as “illustrated” or “provided.” The location element is then followed by an indicative summary, which briefly describes the content of the figure or table. For example, “Figure 1 illustrates the stress-strain curves of materials A, B, C, and D.”

As an author, it is essential to point out the special trends, overall trends, or interesting parts of your data. This involves being selective about which data to emphasize, even though the language used may be descriptive. For example, you may say, “Overall, the mechanical strength of material A is much higher than the others.” By focusing on specific aspects of the data, you guide your readers to the most relevant information.

4. Interpretation and Implications of the Data

The final element of data commentary is the interpretation of your data. This involves providing an explanation or meaning behind the data. Verbs like “suggest” or “indicate” can be used to show that the interpretation is based on the data, not personal opinion. Interpretation involves a combination of descriptive and analytical language, with the latter being used to provide a deeper understanding of the data.

5. Verb Choice and Level of Certainty

Choosing the right verb is essential, as it reflects the level of certainty and the analytical nature of your writing. For example, verbs like “establish” and “challenge” are stronger and more analytical than “indicate” and “question,” respectively. The level of certainty can also be influenced by the field of study, with hard sciences typically having higher certainty than social sciences or humanities.

In conclusion, to improve your data commentary skills in academic writing, pay attention to the three key elements: location, highlights, and interpretation. Additionally, be mindful of the verbs you choose, as they can greatly impact the overall impression and interpretation of your findings.

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