Please enable JavaScript.
Coggle requires JavaScript to display documents.
DATA INTERPRETATION AND DRAWING CONCLUSION - Coggle Diagram
DATA INTERPRETATION AND DRAWING CONCLUSION
Data interpretation cannot be separated from data analysis so that interpretation is actually a certain aspect of analysis and is not a separate part of analysis. In general, interpretation is a detailed explanation of the true meaning of the material presented. Data that has been made in tabular form, for example, needs to be given a detailed explanation by discussing the table and providing an interpretation of the data.
According to Siregar (2021), data interpretation is a process to interpret data to be the simple shape that can easier to understand. In other side, sholikhah (2018) argue that data interpretation is the shape of explaination which is showed on some way such as tabel, graphics and so on. Data interpretation is the process of reviewing data based on some pre-defined processes that will help assign some meaning to the data and can be create a relevant conclusion (Arikunto, 2012).
According Siregar there are some technique to show or interpret the data, such as the table and diagram
Table show the Statistic number that related to the hypotesis. It's created by row and coloums. One of the advantages of using these tables Is that these tables can create brevity from vast amounts of data in a confined space.
The diagram is thus a summary of the quantitative information presented as a chart, graph, or picture showing a relationship between score or variables.
There are some kinds of diagram
bar charts
scatterlots
The steps of data interpretation
Gather the data. The very first step in interpreting data is having all the relevant data assembled. You can do this by visualizing it first either in a bar, graph, or pie chart. The purpose of this step is to accurately analyze the data without any bias.
Develop your findings. This is the summary of your observations. Here, you observe this data thoroughly to find trends, patterns, or behavior. If you are researching about a group of people through a sample population, this is where you analyze behavioral patterns.
Create Conclusions. The conclusions that you made, should answer the questions that led you to your research. If they do not answer these questions ask why? It may lead to further research or subsequent questions.
Give recommendations. For recommendations, it can only go in one of two ways. You can either recommend a line of action or recommend that further research be conducted.
The conclusion of the study is a brief statement about the results of the analysis, description and discussion of the results of hypothesis testing. The purpose of writing conclusions is to provide opportunities and information to the readers in order to know quickly what the final results are from the research that has been done.
Conclusions are statements that are considered as propositions in the sentence conveyed, because they are taken from several statements of ideas with some applicable inference rules, this information is the reason that conclusions include ideas reached at the end of the conversation.
The characteristics of a good conclusion are
This restates the thesis sentence (a statement or theory supported by an argument put forward in a scientific paper) but does not use exact words
It restates the research sentence of the paragraph that has been developed but does not use exact words
If appropriate, it expresses an opinion, makes a prediction, or provides a solution
The conclusion always ends with a statement that summarizes the essay
Conclusion uses the word summary transition (i.e., in other words, in short, the summary, the conclusion, and therefore) to signal to the reader that the ideas are coming to an end.
Type of Conclusions
Direct Conclusion
A direct inference is an inference in which we directly move from a single premise to a conclusion. The direct conclusion ends only in a new proposition and not in a new truth. From the truth or falsity of an existing proposition, we derive the truth or falsity of other propositions that need to follow.
Indirect Inference
Indirect inference is a conclusion in which we derive a conclusion from two or more premises. It is called indirect, because this conclusion is obtained by a medium called the intermediate term (M). With the intermediate term (M), we can compare the premises major and minor premises. Thus, we know the reason why the subject is the same as the predicate or why the subject is not same as predicate.
Steps for drawing conclusions
As a first step, the author outlines the problem and then give a summary of everything that has been described in the chapters previously.
The author must relate each data set to the problem to come to a certain conclusion.
The final step in drawing conclusions is to explain the meaning and certain consequences of these conclusions theoretically and practically.