# data[].attributes.body
The comparison in between correlational and experimental research is to look out if two or more things are related without changing the main topic. As the researcher might research about the connection about two events. As an example, does sleeping and falling into anxiety relates? As for experimental research, its about to research if one event causes a change in another such as does taking high fibre intake reduces our appetite?

Next, for the correlational research, the event will be closely observed to see if theyre related more deeply.As or experimental research, it can be manipulated on a different event with the existing ones.

Lastly, correlational research is easier and best for finding the connections that is related in between where physical experiments aren't required, but we cant really determined what caused which issue. Causes and effects can be proved for the experimental research which can be done in artificial things without affecting real life situations. In conclusion, correlational research is mainly used to see if two things are connected for a answer.Meanwhile experimental research will be used to research if one thing can cause changes in the event.

# data[].attributes.body
Compare Correlational and Experimental Research

Correlational Research:

Intended for searching the relationships between two or more things (variables). You don’t change nor manipulate any variable, just observe what naturally happens.

Simply put, it was to see if two things are related but can’t say if one causes the other.

Example: You notice athletic students tend to have better grades, but you don’t know if exercise directly improves grades or if something else affects both.

Experimental Research:

The purpose was to tests if one thing causes another by changing or manipulating one variable. This give you the ability to change one thing and measure its effects on another thus allow you to say for sure if one thing causes another.

Example: You give one group of students mathematics tests in English and compare their grades to a group that takes the mathematics tests in Malay language to see if different languages directly improves grades.

# data[].attributes.body
Comparison of correlational is a researcher asks people how much they exercise and how good they feel. To see if people who exercise more feel better. People who exercise more usually feel better, but we don’t know if exercise is the reason. Other things, like diet or stress, could also be affecting mood. For experimental research example a researcher splits people into two groups. One group exercises every day, and the other doesn’t. After a month, the researcher checks how they feel,for goal is to find out if exercise directly makes people feel better.The group that exercised feels better, showing that exercise likely improved their mood.Comparison correlational study ahows a link between exercise and feeling good but doesn’t prove exercise is the cause. For experimental study tests if exercise causes better mood bypass comparing people who do and don’t exercise.

# data[].attributes.attachment_caption
SITI NUR SYAFIQAH BINTI ABU BAKAR 2112023090024

# data[].attributes.attachment_link.title
COMPARISON OF CORRELATIONAL AND EXPERIMENTAL RESEARCH

# data[].attributes.body
Comparison between Correlational and Experimental Research

1) Correlational Research:

•Definitions: Correlational research studies the relationship between two variables without changing it either. It suggests that whether they are related, but not whether one can cause the other.

• For instance, if a study reveals the students who put in more time to study can typically receive a higher mark, this can suggest that it was an correlation. But it does not show or prove that studying can cause it to have much better results than the other students.

2) Experimental Research:

• Definitions: Experimental research helps to demonstrate the cause and effect by adjusting one variable to observe how it can impacts one another.

• For instance, researchers may divide the students into two groups, one of the group would use the "standard study technique" and while the other group use a " usual study technique". If the first group with "standard study technique" performs much better than the "usual study technique" group, it shows that the new method works much more effectively.

# data[].attributes.body
JENNIFER MASHA

In Correlational research, a concept or theory is verified through observation and the change of variables in research methods. In order to make inferences and verify the concept, data has to be collected and the results must be evaluated. For example, a study finds that increased study time is associated with higher exam scores among students. Meanwhile, in experimental research, one or more variables are changed to study their cause-and-effect relationship. This manipulation allows researchers to exactly see how changes to one variable influence the other. For example, rsearchers test a new teaching method by randomly assigning students to two groups, then one uses the method, and the other follows traditional instruction, After that, they compare their exam results to evaluate effectiveness.

# data[].attributes.body
Two major ways to study how things are related include correlational research and experimental research. In correlational research, scientists examine patterns and relationships without manipulating anything. For example, they might find that there is a pattern wherein those who eat more fruits and vegetables tend to be in better health. The problem with this kind of research is that it cannot determine if the eating of fruits and vegetables actually causes better health; it can only demonstrate that a relationship exists.

In contrast, experimental studies actively try to change one factor in order to observe a change in another. In conducting an experiment on the benefits derived from diet, for example, researchers would place one group of people on a special regimen high in fruits and vegetables, while another group would eat normally. By comparing the health of the two groups, they could observe the impact of the diet. It helps to determine the cause-and-effect relationship and thereby makes the influence of one thing being the direct cause on another more transparent.

Both types of research exhibit strengths and weaknesses. The correlational method is used to spot trends and predict events; however, it may mislead one because it does not take into account any other factors that may be involved.

Experimental research provides evidence regarding causality; however, it can be cumbersome in terms of complicated setup and time-consuming. Generally speaking, most researchers often use both methods together in order to get a fuller picture of the relationships they are studying.

# data[].attributes.body
Although it doesn't establish causation, correlation study examines the link between two variables to see whether they change together. By adjusting one variable to see its impact on another, experimental research, on the other hand, enables researchers to establish cause-and-effect linking. In conclusion, experimental investigation verifies causality; correlation reveals links.

# data[].attributes.body
Correlation research aims at identifying and measuring the degree of relationship between two or more variables without changing or altering them. It tries to establish how the change in one variable corresponds to a change in another variable, usually with the use of statistical tools such as Pearson's correlation coefficient. For example, one would want to know the relationship that exists between study hours and academic performance. One may find a correlation, but it is unable to identify whether time is spent on studying to directly yield better grades. While correlational studies do not serve as a factor of causation, that relation may be due to other factors or variables.

On the contrary, experimental research is designed to establish cause-and-effect relationships. Researchers change one or more independent variables and maintain control over other factors, thus allowing observation of the effects on a dependent variable. This often includes random assignment to different groups in order to enhance validity in the findings. Participants in an experiment might be randomly assigned to receive a new medication or a placebo; for instance, in a clinical trial, allowing the researchers to compare the medication's effectiveness. Since experimental research involves controlled conditions, it provides stronger evidence for causation than correlation research.

# data[].attributes.body
MLC IPOH

There are two research methods that are used to investigate relationships between variables correlational and experimental, these different in operation. The correlational research aims to see whether two or more things are related to each other without manipulating or controlling any factors. Such as, researchers might want to see if a relationship exists between how long students study and their exam scores. Although this would be able to show whether or not a relationship exists, it does not serve as a method to prove one causes the other.

On the contrary, experimental research is controlled. Here, one variable-the independent variable-is changed by the researcher and changed upon, regarding its effects on another variable, called the dependent variable. For example, a researcher might divide subjects into two groups, each receiving either a strict study schedule or studying freely. In this manner, simply by controlling the study schedule, the researchers will know if the study schedule alone can actually affect the exam scores, thereby demonstrating a cause-and-effect relationship.

A key distinction between these two approaches is that correlational research only provides an association or a linkage, while experimental research can determine if one variable causes the change in another. It is especially good for examining patterns, but whenever we seek to learn why things occur, experimental research is called for. Both techniques are relevant to science because they help us achieve different goals.

# data[].attributes.body
CORRELATIONAL RESEARCH

Correlational research is a non-experimental method used to examine the relationship between two or more variables. It focuses on measuring the degree of association or correlation between variables without manipulating them. Correlational research aims to identify relationships or associations between variables without manipulating them. It examines the extent to which changes in one variable are related to changes in another variable. Correlational research can provide valuable insights into relationships between variables

EXPERIMENTAL RESEARCH

Experimental research, on the other hand, is a method that involves manipulating variables to determine cause-and-effect relationships. In experimental research, researchers carefully design and control the conditions under which the study takes place. They manipulate the independent variable and measure the effects on the dependent variable. Experimental research involves manipulating variables to determine cause-and-effect relationships. It includes the use of control groups, random assignment, and independent and dependent variables. Experimental research allows researchers to establish causal relationships and draw more definitive conclusions.

# data[].attributes.body
Correlation Research

•A correlation describes the theory and/or direction of the relationship between two or more variables.

The benefits is correlational research allows researchers to collect much more data than experiments.For example,The relationship between paddy yield and fertilizer use is an example of a simple correlation, meaning that the presence of one variable has an impact on another.

Experimental Research

•A study that uses sets of variables and a theory is called experimental research. Researchers have firm control over variables to obtain For example,Testing methods that combine various chemical elements to observe how one element affects another are used in experimental research.

# data[].attributes.body
Correlation research examines the relationships between variables without any manipulation, allowing researchers to identify patterns and associations. This approach can reveal how two variables may change together, but it cannot determine whether one causes the other. For instance, while a correlation might show that increased exercise is related to lower stress levels, it doesn’t prove that exercise directly reduces stress, as other factors could be at play.

In contrast, experimental research involves manipulating an independent variable to observe its effects on a dependent variable, providing a clearer picture of cause and effect. For example, a study might involve having one group of participants engage in a specific exercise regimen while a control group does not, measuring stress levels afterward to see if there is a direct impact. This method allows for greater control over external factors, which strengthens the validity of the findings.

However, experimental research can sometimes lack external validity, meaning the results may not always translate well to real-world scenarios. Additionally, correlation studies are generally quicker and easier to conduct, making them useful for exploring initial ideas or when experimental designs aren’t feasible. Ultimately, the choice between these methods depends on the research questions at hand and the degree of control needed to obtain meaningful results.

# data[].attributes.body
Bibi Syafina

Correlational research is a type of non experimental research in which the researcher measure two variables and assesses the statistical relationship between them with little or no effort to control extraneous variable. For example, researcher might evaluate the validity of a brief extra version test by administering it to a large group of participants. Meanwhile, experimental research is a scientific method of gathering data whereby the one conducting the research is able to manipulate the independent variable. Experimental research psychology is the act of applying experimental research methods to the study of human behavior. For instance, how music affects motivation. The songs that are chosen during doing your homework might helps to boost your mood.

# data[].attributes.body
In an experimental research, you manipulate an independent variable and measure its effect on a dependent variable. other variable are controlled so they can't impact the result. In a correlational research, you measure variables without manipulating any of them. you can test whether your variable change together, but you can't be sure that one variable caused a change in another. In general, correlational research is higher in external validity while experimental research is high in internal validity

# data[].attributes.body
In correlational research, the researcher observes variables without intervention to find patterns. For example, a study might explore whether there’s a relationship between students' sleep habits and academic performance, showing that students who get more sleep tend to have better grades, but it can't prove that sleep causes better grades.

In experimental research, the researcher manipulates variables to establish cause and effect. For example, a study could test if using interactive learning apps improves students' English scores by splitting students into two groups: one using the app and the other using traditional methods. If the app group performs better, the experiment suggests the app caused the improvement.

# data[].attributes.body
Correlation research aims to identify whether and tp what extent two or more variables are related. one of the main advantages of correlation research is that it allows scientists to study relationships in real world settings where experimental manipulation is not possible or ethical. a limitation of it being that it cannot establish causality.

contrasting the above, experimental research is designed to prioritize that of cause and effect relationships by manipulating one or more independent variables and observing the resulting changes in dependent variables. strength of experimental research lies in its ability to determine causality which makes experimental research highly advantageous when testing for hypotheses and advancing scientific theories. however this method is also often time consuming and resource intensive.

# data[].attributes.body
Correlational research a fundamental methodology used in various fields, including psychology, sociology, and health sciences, to explore and analyze relationships between variables. This approach focuses on identifying.In experimental,often include control groups, which do not receive the experimental treatment. This allows researchers to compare outcomes between the experimental group and the control group, enhancing the validity of the findings.

# data[].attributes.body
Correlational research finds if two things are related without changing anything. It shows a connection but not a cause. Experimental research changes one thing to see its effect on another, helping to prove cause and effect. Correlational shows connections, no changes made while experimental research tests cause and effect by changing variables. Correlational research can't prove one thing causes another, but experimental research can.

# data[].attributes.body
Correlational research looks for relationships between two or more things. For example, it might check if students who sleep more get better grades. It doesn't tell us what causes what, just that there's a link but for experimental research tries to find cause and effect by controlling variables. In an experimental research, researchers can change one thing (like teaching method) and see how it affects another (like student performance), while keeping everything else the same. In short, correlational research shows connections and experimental research shows causes.

# data[].attributes.body
In correlational research, you just look at two things to see if they go together. For example, you might see that people who watch a lot of TV also get less exercise. But you don’t know if watching TV causes less exercise or if something else is happening.

In experimental research, you change something on purpose to see what happens. For example, you could have one group watch TV for an hour and another group not watch TV at all, then see who exercises more. This helps you figure out if watching TV causes less exercise.

So, correlational research shows if two things are connected, and experimental research helps you know if one thing causes the other.

# data[].attributes.body
By design, correlational studies examine the relationship between two or more variables. As an example, one researcher might study the relationship between individuals exercising frequently and mental health outcomes. The method of approach is observational in nature, therefore not manipulating the environment, and may also employ statistical procedures that identify the presence, strength, and direction of a relationship. Because it does not control variables, correlational research can never establish cause and effect relationships. it may indicate associations due to other confounding variables.

# data[].attributes.body
Correlation research looks at how two things are connected, but it doesn’t show if one causes the other. For example, if we find that students who read more get better grades, we can’t say for sure that reading more is the reason for the better grades, it could be something else. In experimental research, scientists change one thing to see if it causes a change in something else. For example, we could have one group of students listen to music while studying and another group study in silence to see if the music makes a difference in their grades.