Random Assignment refers to using chance processes in psychology experiments to ensure everyone has an equal opportunity to be assigned to any group. Analysis participants are randomly allocated to different groups, such as experimental or treatment groups.
Have you been in a situation where massive chaos broke out for some project of yours about who would work with who; then, to quiet the crowd down, your teacher decided to play a fair draw in which she would write the names of all the students on chits and mix the chits in a bowl, later picking a random chit out to decide who pairs with who? This is a very relatable example of Random Assignments in Psychology.
Random Assignments like a fair draw or lottery system are used to randomly assign participants to an experimental or control group of the experiment. This provides an unbiased, undisturbed, and new result at the end of the investigation. The key feature here is that the random Assignment offers an equal chance for the participants unless they have had personal fallbacks.
This Assignment aims to investigate how manipulating one factor causes a change in another. These factors are named independent and dependent variables. An independent variable doesn't o change. Experiments are conducted to determine the effect of this variable. In contrast, a dependent variable can be altered and modified based on the independent variable. The impact of the independent variable upon the dependent variable is observed. This helps determine the relationship between the two variables.
For example, an experiment is conducted to determine the effect of coffee on sleep. Here, the independent variable is coffee, while the dependent variable is sleep, as the alteration of coffee impacts sleep.
Psychologists prefer Random Assignment because it reduces any pre-judgmental and coordinative obstructions. The participants, in most cases, are strangers to each other, which results in unbiased and critical data that implies the actual dependency of the dependent variable on the independent variable.
These dependent and independent variables are studied and observed actively and passively by experimental and control groups to which the participants are randomly assigned. The participants in the experimental group are open to evaluation actively, while those in the control group cannot access it actively. This is needed for two primary reasons:
WhenRandom Assignment of participants is done, it eliminates the chances of discrimination and inequality amongst and with the participants. Participants from varied backgrounds (sex, race, age, status, occupation, and motivation) are randomly picked to perform a particular experiment.
Due to the equivalency of participation, the chances of getting a reliable result increase. E.g., if an experiment were to be conducted on the effect of coffee on sleep, participants would be placed randomly into two groups, one that would be asked to consume coffee and one that would not be, based on the record that both the groups match on all characteristic grounds except that one is provided with coffee and the other group isn't.
If the random Assignment method is not used, there is a positive possibility of encountering errors in the end data.
To use a simple random assignment, you give every sample participant a unique numeral. Then, you can use computer programs or traditional techniques to randomly assign each participant to a group.
In an experiment on the effect of violent gaming (independent variable) on the behavior of children (dependent variable) conducted, you choose to use three groups:
Random Assignment helps confirm that the groups don't differ in any systematic or biased manner. It ensures the experiment is conducted reliably.
Suppose, for an experiment, people were grouped based on their food preferences. Here, those who taste spicy food would label Japanese cuisine tasteless, while those who prefer cakes over chocolates would label milk chocolates as overrated.
This would create a sense of biasness and not yield reliable results. If the results favor a specific preference, it will develop an understanding of discrimination.
The application is simple. The selection is made based on the following:
The goal of random Assignment is to observe the changes in one variable due to the variation in others, just like the intensity of exposure to violent gaming affecting children's behavior.
Once the researcher is set with the objectives of the Assignment, the participants are divided and selected randomly by either of the lottery methods. Based on this, some participants will end up in the control group that does not consume the independent variable. In contrast, others are placed in the experimental groups, varying the intensity and occurrence of the independent variable.
By the end of the experiment, the researchers collect the data from the participants to determine the impact of the independent variable upon the dependent variable.
When NOT To Apply Random Assignment?
There are times when random Assignment is considered unethical or irrelevant.
When the application of random Assignment is impossible, methods like "Quasi-experimental studies" could be used. According to this study method, you do NOT perform a risky experiment. Instead, you study and research the pre-existing conditions and results of the participants and derive a conclusion.
For the "effect of heavy drinking on mental health experiment," you could refer to the studies of heavy drinkers being interrogated for surveys, experiments, etc. However, for the mild drinking and non-drinking part, you could use the random assignment method to derive a conclusion.
Random Assignment plays a crucial role in psychology. It terminates any form of limited circumstance and behavior and also reduces systematic glitches.
The random Assignment method ensures unique, reliable, and unbiased data and helps deformalize the effect of any internal dispute upon the experiment by selecting participants at random. Using random Assignment, studying the human mind and behavior has become more accessible.
However, this method can NOT be applied everywhere. In places that include a specific demand or a risk factor, implementation of this method solely could generate a chaotic output. Nevertheless, altering the application of random Assignment could help get similar unbiased and reliable results.
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