Definition of Data Analysis, Procedures and Types of Data Analysis
Definition of Data Analysis, Procedures and Types of Data Analysis - In this discussion, we will discuss data analysis. Of course, some people are still very unfamiliar with the term data analysis. And what exactly is data analysis itself?
For this reason, we will start discussing it so that we can provide information for readers who need it. So that the discussion is clearer, let's just start the discussion, which will be explained below.
Definition of Data Analysis, Procedures and Types of Data Analysis
Let's discuss the meaning of data analysis first carefully.
Definition of Data Analysis
Data analysis is an attempt or a way to process data into information make the characteristics of the data understandable and also useful for a solution problem. And the most important is the problem related to a research. In addition, there are also other meanings of data analysis, namely an activity carried out so that transforming the resulting data from research into information that can later be used in retrieval conclusion.
Data Analysis Procedures
Apart from the explanation that has been given, this time we will discuss again about a procedure or steps of data analysis which will be explained below.
- Data collection stage.
- Editing, which at this stage is a check for clarity or completeness regarding filling in the instrument from data collection.
- The coding stage, namely carrying out the identification process and also the classification process of each question which is also contained in the data collection instrument based on the variable being studied.
- Tabulation, namely carrying out an activity of recording and entering data into main tables in research.
- The testing phase, and at this stage the data will be tested for quality, namely testing the validity or reliability of the instrument from a data collection.
- The stage of describing the data, namely presenting it in the form of frequency tables or diagrams and in various measures of central tendency or dispersion measures. With a goal to understand the characteristics of sample data from a study.
- Hypothesis testing, which is the stage of testing a proposition whether it is rejected or can be accepted and also has meaning or not, on the basis of the hypothesis that later the decision will be made.
Types of Data Analysis
After the two explanations that have been given, there is still another explanation, namely the type of data analysis consists of two data analysis techniques in a study which will be explained below This.
1. Descriptive data analysis technique
Is an analysis technique that will be used to analyze a data by describing or describes the data that has been collected soberly without any intention of making generalizations from a result study.
2. Inferential data analysis techniques
Is a statistic that is used to perform a data analysis by making a conclusion that also applies in general. And the characteristic of inferential data analysis is that it uses a certain statistical formula. So the results of the calculations that have been done and that will later become a basis for making generalizations that also come from sources for the population. And has a function to generalize the results of a sample study for the population. With this function, inferential statistics are very useful for a sample study.
That's all for the explanation that can be given in this article regarding Definition of Data Analysis, Procedures and Types of Data Analysis, I hope the explanation given can add some information to the lives of the readers, hopefully this is useful 🙂
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