1. Definition:
Correlation research is a type of
research project in which the researcher tries to understand the relationship
between natural variables. In simple terms, correlation studies are sought to
determine whether two or more variables are related and, if so, how.
2.Definition:
Correlation analysis is a form of
analytical analysis in which the researcher measures two variables understands
and analyzes the statistical relationship between variables without the
influence of foreign parties.
Example:
The mind can
do some good things. For example, you can remember about pizza trucks. My
jingle was loud, the pizza truck was close to us. Who teaches about us? No one!
We rely on understanding and can draw conclusions. We don’t stop there, do we?
If there are multiple pizza trucks in the area and each has a different jingle,
we will remember them all and associate them with the pizza truck.
Usage
of Correlation Study:
In
psychology, correlation research can be used as the first step before
experiments begin. It can also be used in experiments that can not be
performed. This will determine if there is a relationship between two or more
variables and if so, the level of the relationship will be determined.
Correlation
research with Example:
This is a cross-sectional study that characterizes the relationship between two
variables, such as “clinking” and “truck eyes” in this example. Social
interactions require a variety of interactive interactions. When you see one change
changing, you have a positive view of one another changing.
The
correlation coefficient indicates the correlation between two variables (the correlation coefficient is a statistical measure that calculates the strength
of the relationship between the two variables), the value is measured between
-1 and +1. If the correlation coefficient is close to +1, then there is a
positive correlation between the two variables. If the value is close to -1, it
means that there is a negative correlation between the two variables. If the
value is close to zero, there is no relationship between the two variables.
Example
to understand Correlational Research:
Think
hypothetically; the Researcher examines the link between cancer and marriage. There
are two variables in this study, disease, and marriage. Suppose marriage is
negatively linked to cancer. This means that married people have a lower risk
of developing cancer.
But this
does not mean that marriage can prevent cancer. In related research, the truth
cannot be confirmed. It is a misconception in studies involving two different
relationships. However, two truths are used to represent truth, but the two are
not the same. This is especially true when it comes to whether their variables
are large or customizable.
Types
of Correlational Research:
Three main
types of correlational research have been identified:
1. Positive
correlation:
A positive correlation
between two variables is an increase in one variable causing an increase in one
variable. Another variable reduces one variable. For example, the amount of
money a person has may be positively related to the number of cars a person
owns.
2. Negative
Correlation:
A negative correlation is the opposite of a positive relationship. If one
variable increases, the second variable indicates a decrease and vice versa.
For example, education can be negatively linked to crime rates when an
increase in one variable leads to a decrease in another variable. An increase
in the level of education in a country can reduce the crime rate. Note that
this does not mean that lack of education leads to crime. It simply means that
a lack of education and crime is thought to have the same cause - poverty.
3. No
correlation:
In this third model, there is no correlation between the two variables.
Changing one variable does not necessarily make it different from the other
variables. For example, being a millionaire has nothing to do with being happy.
Raising money does not bring happiness.
Characteristics of Correlational Research:
There are three main features of correlational research. There is:
Ø Non-experimental:
Follow-up studies are not
experimental. This means that scientists do not need to optimize variables
using a scientific method to agree or disagree with the hypothesis. Scientists
only measure and monitor the correlation of variables without changing or
external conditioning.
Ø Retrospective/Backward-looking:
Correlation studies look
back at historical data and follow the events of the past. Scientists use it to
measure and analyze historical patterns between two variables. A correlation
study could show a positive correlation between the two variables, but this may
change in the future.
Ø Dynamic:
The pattern between the two variables
in correlation, research is not always continuous and is constantly changing.
Two recently related negative variables can be positive in the future due to
various factors.
Data Collection in Correlational Research:
A unique feature of correlational research is that
researchers are unable to handle any of the existing variables. It does not
matter how or where the size is measured. Researchers can see participants in a
closed environment or in a public environment.
Methods:
In correlational research, researchers use two methods of
data collection to collect information.
I.
Naturalistic observation
Naturalistic observation is a method of collecting data in
which social behavior is observed in the natural environment, which is common.
This method is a kind of field survey. This means that researchers can observe
people in grocery stores, cinemas, playgrounds, or the same space.
Researchers who typically
participate in this type of collection should keep their observations constant
so that participants participating in the study do not know that they are being
observed. Otherwise, you may stray from your natural state.
This method can be
ethically acceptable if the participant is anonymous and the study is conducted
in a public place and the public does not expect complete privacy. As mentioned
above, cite grocery stores that gang organizers can see when they drop off
their shopping bags. This
is morally acceptable, which is why most scientists choose public places to
record their observations. This data collection method is qualitative or
quantitative.
II.
Archival Data:
Another application for
data interaction is to use a database. Archive information is data previously
collected from similar research. Data are usually provided by initial analysis.
Unlike natural
research, the information collected from stored data is simple. For example, it
is easy to count the number of people named Richard in different states of the United States based on official security data.
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