Correlational research is a form of qualitative and quantitative research that looks at the relationships between two or more variables. It has been used in many areas to examine factors that are related to health, education, economics, sociology, etc. In this blog post, we will discuss the introduction, its types, importance, and data collection technique in correlational research.
Correlational research is a way to study the relationship between two variables but without any experimental results. Statistical analysis helps you figure out if there are relationships or not for each variable and how strong they might be.
In other words, Correlational research is basically a kind of non-experimental research where you need to perform measurement of the variable. In addition to this, you also need to assess the statistical relationship between different types of variables.
You can perform correlational research especially in such types of research where you can’t perform experiments. Correlational research mainly emphasizes analyzing the relationship between different variables of the study.
Students can utilize a Correlational research design at the initial phase before beginning experiments.
For example, Suppose, you are performing research for analyzing the co-relationship between marriage and cancer. In this type of research, there are two variables these are cancer and marriage. A person suffering from cancer has less chance of getting married which shows a negative co-relationship between both variables.
Mainly three types of correlational research have been identified:
Generally, we use correlational research when it’s appropriate to study two variables at the same time but not yet know if one causes the other in any kind of casual way. There are a few situations, where correlational research is the best option:
An important feature of correlational research is that no single variable is manipulated by an investigator. For example, an investigator can visit a mall for gathering information from people about their habit of shopping. There are basically three techniques of data collection in correlational research, these are:
It is the approach that you can use for gathering facts, especially while conducting correlational research. As per this approach to data collection you need to observe the attitude of people in a particular setting or situation. You can use the naturalistic observation technique for performing field investigation.
This method often involves recording, counting, describing, and categorizing actions and events which may include both qualitative as well quantitative elements depending on how you want to analyze your findings
For example, the researcher, in order to gather information about the shopping habit of people, can observe them in the shopping mall.
Note: While making the decision to apply the naturalistic observation technique you need to consider particularly two types of issues these ethics and privacy. As the naturalistic technique of data collection is applied in the complex environment you might have to face issues in selecting sampling methods in research and in taking measurements.
It is the basic technique that mainly involves the utilization of information that has been collected for accomplishing another objective. Archival data is a type of archival information collected from past studies that have been conducted in similar fields of study and will provide important correlations with the current project being undertaken.
For example, If you want to gather information about the death of women. You can have access to the records of the hospital for gathering facts about the subject.
The different sources from where the archival data could be gathered are:
In survey research, you can use questionnaires to measure your variables of interest. You can conduct surveys online or by phone and with a little creativity they’ll be flexible enough for any situation. Surveys are a quick and flexible way of collecting data from many participants, but it’s important to ensure the questions you ask are unbiased.
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