Have you ever noticed that your mind can memorize certain sounds? For example, you hear the tinkle of an ice cream truck, and you can remember that sound. The louder the sound, the closer is the ice cream truck. How do we figure that out? We generally rely on our instincts, right? But do you know there is a framework called “Correlational Research.†It is precisely this phenomenon that is used to identify the relationship between the two variables. Just like we did above, between the “tinkle†and “distance of the ice-cream truck.†This blog is devoted to the study of correlational research, its meaning, importance, types, and a few examples. So, let us begin our exploration by understanding the meaning of this through the following section.
What Is Correlational Research? Its Characteristics
You must be wondering, after our above discussion, What is correlational research� It is a tool meant for identifying the relationship between two or more variables. In addition, it carries out statistical analysis of the element without any external influence. For a research student, it is crucial to comprehend this term and learn all about this framework.
Correlation does not imply causation, as it identifies the direction where the variables would be moving. The direction can be positive or negative, depending on the subject. You must learn about its different types if you want to get an in-depth knowledge about it. In addition, you should comprehend positive and negative correlational examples for better understanding.
Correlational research holds insignificant importance in different fields and is the cornerstone of the research process. Thus, if you want to learn about its significance in various fields, you must read the next section.
Different Types of Correlational Research
To understand correlational research, you must understand its diverse types. Moreover, it helps to make your research process efficient and more accurate. So, let us explore the different types of correlation research below.
Positive Correlation
Positive correlation, as its name suggests, has the same impact on the variables that rise or fall together. If there is an increase in one variable, the other will also increase. Similarly, if one of your variables is decreasing, then the other will also decrease. So, it analyses the positive relationship between the variables and can be used for researching categorical data and numerical data. For example, the amount of wealth a person possesses is related to the number of cars he might own.
Negative Correlation
A negative correlation is another type of correlation that is the opposite of a positive one. If one variable is decreasing, the other tends to increase and vice versa. It is named negative because it carries out the negative relationship between the two variables. For example, an increase in the price of a product will decrease the demand for the product and vice versa. However, you might find it challenging to apply it on large databases, so in such cases, you can get database assignment help from us.
No Correlation
Lastly, there is no correlation, as its name suggests, variables have no impact whatsoever on each other. The increase or decrease in one element would not change the other one. For example, if you are a wealthy person, then it is not necessary that you are happy. So, in this case, money has no impact on happiness.
The above are the three types of correlational research that we use. Read them and understand how you can use them for your research and make it efficient. However, if you need a helping hand, you can get it from us by seeking our assignment writing service. So, you must have got your queries solved, but do you know that where most of the students gets stuck? It is the example part, so in the next section, you will learn about them clearly through the following section.
Correlational Research Examples
Learning about correlational research is crucial for you as a student, you must comprehend them to achieve excellence. Thus, go through the following examples and understand them properly.
Positive Correlation Examples
1. The employer who spends more hours working in the office tends to get higher pay.
2. The more a person exercises, the more the fitness ratio of that individual.
3. If the salary of an individual decreases, his earnings tend to decrease similarly.
4. The more a company spends on the advertisement, the probability of attracting more customers.
Negative Correlation Examples
1. The more hours you spend sleeping, the less tired you will feel.
2. The lower temperature is inversely related to the number of clothes you will wear.
3. The more you cook at home, the less the probability of you eating out.
4. As your car gets older, its value tends to decrease simultaneously.
No Correlational Research Examples
1. The amount of coffee you consume in a day has no relation to your intelligence.
2. Your height has no relation with your exam scores and academic performance.
3. The weight of the person has no relation to the amount of money they make.
4. The amount of clothes you have is not related to your IQ level.
These were examples of positive, negative, and no correlational research, respectively. Like all other frameworks, there are the advantages and limitations of correlational research. But, you must understand them to use them in your research and analyses accordingly. However, if you need assistance, you can ask our experts. The following section is devoted to helping you out with your research process.
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