• Random Name Generator

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For those who are looking to create a random name or who are looking for a name randomizer, the Random Name Generator is the perfect tool for you. The tool is quite easy to use. The first step is to choose the actual way you want to use it. There are two distinct ways it can be used depending on whether you want to create entirely new random names or if you want to use a name randomizer as a name picker from a list of names you already have.

The name randomizer from a list is pretty simple and straightforward. Once you choose it, a box will appear and all you need to do is paste your list of names into the name randomizer. The first way this can be used is as a random name picker. In this case, you choose the number of names you want to appear. For example, if you're picking a single winner from a list of names, you would choose "1" and the one name generated would be the winner. If you wanted the random name picker to choose two winners, you would choose "2" and two names from the list would appear. Another example of using this as a name picker is if you want to make two teams out of a list of names. If you had 30 people on the list and you wanted two teams, you would choose "15" and the fifteen random names that showed up from the list would be one team while the other 15 names would be the other team.

Another option is to use the name randomizer to randomize all the names on your list. In this case, you aren't using it as a random name picker, but as a true name randomizer. For example, if you have a list of 20 students that you want to put into a random order, you would choose "20" and all of the students' names would appear in random order. This can be a great way to assign the names on the list to something specific. For example, if you have a list of chores for your kids to do and they are complaining that you don't assign the chores fairly, you can use the name randomizer to make those assignments. It can be useful for school student assignments and work-related assignments as well where it's important for the assignment to be fair and random.

The other use for this tool is as an actual new name generator. In this case, the first step is to choose the number of random names you want to be displayed. You then need to indicate whether you want female names, male names, or a combination of the two. Finally, you get to decide if you want only first names, last names, or full names. Once you've made these choices, you hit the "Generate Random Names" button and a list will appear. The tool has thousands of girl names and boy names, as well as thousands of last names. Together, they can create hundreds of thousands of random names.

People who stumble across this free name generator often wonder why it's better than the typical way to find names in a baby book or from a long list of names on a website. There are a few distinct advantages that come with using this free online name tool that you can't get with a name book or long list of names. Most importantly, you have the option to specify the exact types of names you want to see which isn't possible in a name book or from a list of names. For example, if you only want to see girl names or boy names that begin with the letter "S" you can indicate that on this name generator to get exactly the names you want.

A second benefit of this generator over traditional ways to search for names is that you get to determine the exact number of results you want to read each time. Long lists and books filled with boy and girl names can easily become overwhelming. It can then be difficult to give each name the proper consideration it deserves. By seeing names in bunches that are easier for you to digest, you're much more likely to find the perfect name with the Random Name Generator than with other ways of searching for names.

The above-mentioned two benefits can make this random name generator a wonderful way to search for any number of types of names you may need. The best way to see if this free name tool would benefit your name search is to spend some time using it. Another option is to read some of the many different ways people who visit this name generator commonly use it.

Character Names

Those writing novels or other books may need to come up with various character names. Coming up with the perfect name for a minor or secondary character can often be difficult, but using this tool as a character name generator can make doing so a lot easier. Creating random results is a great way to brainstorm character names. Seeing random names can also help the author find the perfect character name for each particular character in their stories to make their writing the best it can be.

Looking through pages and pages of baby names can be quite tiring and frustrating. For soon-to-be parents, it's sometimes more effective to have random girl names or random boy names appear in smaller random groups. In this way, this tool can become a wonderful baby name generator. This will give you the chance to read the baby names listed individually to see if each sounds and looks perfect. Being able to choose specifically between baby girl names and baby boy names can also make the process a lot less overwhelming.

Create a Nickname

Using this random name generator can be a wonderful way to create a new nickname for yourself or your friends. With the option of choosing the first and last letters, along with the number of syllables, you should be able to find fun nicknames that perfectly fit your needs. Using this tool as a random nickname generator and seeing the random nicknames it produces should help inspire your creativity so that you can find the best nickname for your situation.

For those who are looking to come up with a unique name for their pet, going through a list of random names can be a wonderful way to brainstorm to ultimately find perfect pet names. The Random Name Generator instantly transforms into a pet name generator. It doesn't matter what type of pet you're searching for. The generator will help you find great dog names, wonderful cat names, interesting bird names, and the perfect name for any other pet you may have.

There may be times when you don't want to use your real name when writing an article, book, or column. This free online generator can be a great way to create a new identity through a pen name. The fun aspect is that even if you're a man, you can choose a female name, or if you're a woman, you can choose a male name as your pen name. There are a lot of people who write under pen names and if you decide that finding a pen name is correct for you, you want to spend time thinking about different pen names so you finally settle on one that's perfect for you.

Website Signups

It's common to have to sign up with websites these days, but there will be times when you want to sign up but you don't necessarily want to give your real name in the process. Coming up with a new name to use for these purposes is a way to solve this problem. In fact, you may want to create a unique name for each time you create a new account. By doing this you can see how each site uses your information since the random name you use is unique to that specific website.

Online Activity

There are many people who are online who wish to keep their identity secret for a variety of legitimate reasons. For those who don't use their real name, finding a random name is important so they can remain anonymous. Again, it can often make sense to create a number of random names for online activity specific to certain groups or websites you frequent so you can follow exactly how your information is being used.

Change Your Name

If you have a name that you don't like or you come from a foreign country where your given name is difficult for English speakers to pronounce, coming up with an alternative name to go by makes a lot of sense. The fun part is that you get to name yourself which most people never get the chance to do. You should spend a lot of time considering which random name best suits you and your personality since it's a name you will likely use for a long time. Creating a new name for yourself can make life easier for you and those around you.

This is by no means a comprehensive list of all the ways the Random Names Generator can be used. The above are just a few examples of why someone might use this online name generator. We always try to make our online tools as useful as they can be. If you have ideas on how we could make this tool better, please contact us.

Frequently Asked Questions

How do you pick a random name.

It's actually quite simple to pick a random name with our name generator, and you have a lot of options that you can utilize to get the perfect name. You can choose a female name or a male name (or both), choose what letters if any you want the first name and last name to begin with, and indicate the number of syllables in the name and the length of the name you want. All these options allow you to narrow the name and pick a random name that's best for your specific needs. Then all you do is press the generate button and you will be given a list of names with your specific qualifications. That's how simple it is to pick a random name.

What are good fake names?

Good fakes names are names that bring a character or person to life. A good fake name for one character may be a terrible fake name for another. Understanding the character and their overall personality will go a long way to finding a good fake name for them. Generating random names is an excellent way to find good fake names.

Can I use the names I find with this name generator?

Yes! Feel free to use any of the names that you find will fit your needs that come from this random name generator.

Why are their so many naming options?

Depending on where you are in your search for a name, you may be broadly or narrowly looking at names. When you first begin you often are just looking for ideas and therefore don't need many options, but as you narrow down what exactly you want in a name, having options can help quite a bit to find that perfect name. You don't have to use the option available, but they're there for those who do.

Other Random Generators

Here you can find all the other Random Generators:

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Wheel of Names - Free and easy to use spinner. Enter names, spin wheel to pick a random winner. Customize look and feel, save and share wheels.

  • Random name picker in the classroom: pick which student will answer the next question. How to use it in the classroom
  • If you are a retailer, spin the wheel to pick which loyal customer will get the monthly giveaway.
  • When you give a presentation, use the wheel spinner to pick a lucky winner among the attendees who turned in the survey.
  • Random name picker at work: in your daily standup meeting at work, randomize who speaks first.
  • If you are overwhelmed by your to do items, put them on a wheel and spin to find which one to start with.
  • If you can't agree on what to have for dinner, put the alternatives on the wheel and spin.

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It's easy: type in your entries in the textbox to the right of the wheel, then click the wheel to spin it and get a random winner. To make the wheel your own by customizing the colors, sounds, and spin time, click

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There is no functionality to determine which entry will win ahead of time. When you click the wheel, it accelerates for exactly one second, then it is set to a random rotation between 0 and 360 degrees, and finally it decelerates to a stop. The setting of a random rotation is not visible to the naked eye as it happens when the wheel is spinning quite fast.

Randomness of the wheel .

  • Windows, Linux or Chromebook: press Ctrl F5 .
  • Safari: press Option Command E and then Command R .
  • Other browsers: press Command Shift R .
  • Phone or tablet: swipe down from the top of the page.

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Quick Tool Links: Picker Wheel , Yes No Picker Wheel , Number Picker Wheel , Letter Picker Wheel , Country Picker Wheel , Date Picker Wheel , Image Picker Wheel

Team Picker Wheel - Randomize a List of Names into Group

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1. What Is Team Picker Wheel?

Team Picker Wheel is a random team generator developed by Picker Wheel team. It helps you to split a list of names into teams or groups. It is also known as a random group generator or can be used as a random pair generator.

By inserting the list of names into the team generator, the team generator will randomize all the names you entered into equal groups. You can set the number of groups or the number of people/group you want to create, generating equally into random groups.

There is another unique feature from this tool where you can choose to balance the gender of participants equally into groups, in the condition you have set the gender of each participant after filling in the names.

Besides, you don't need to download the groupings result manually from this group randomizer. You can save the group's result as an image or download the group's result in a CSV file for further use.

2. How to Use the Random Team Generator?

Insert participants' names (Two methods available).

Insert one by one

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We're sorry, but some features of Research Randomizer require JavaScript. If you cannot enable JavaScript, we suggest you use an alternative random number generator such as the one available at Random.org .

RESEARCH RANDOMIZER

Random sampling and random assignment made easy.

Research Randomizer is a free resource for researchers and students in need of a quick way to generate random numbers or assign participants to experimental conditions. This site can be used for a variety of purposes, including psychology experiments, medical trials, and survey research.

GENERATE NUMBERS

In some cases, you may wish to generate more than one set of numbers at a time (e.g., when randomly assigning people to experimental conditions in a "blocked" research design). If you wish to generate multiple sets of random numbers, simply enter the number of sets you want, and Research Randomizer will display all sets in the results.

Specify how many numbers you want Research Randomizer to generate in each set. For example, a request for 5 numbers might yield the following set of random numbers: 2, 17, 23, 42, 50.

Specify the lowest and highest value of the numbers you want to generate. For example, a range of 1 up to 50 would only generate random numbers between 1 and 50 (e.g., 2, 17, 23, 42, 50). Enter the lowest number you want in the "From" field and the highest number you want in the "To" field.

Selecting "Yes" means that any particular number will appear only once in a given set (e.g., 2, 17, 23, 42, 50). Selecting "No" means that numbers may repeat within a given set (e.g., 2, 17, 17, 42, 50). Please note: Numbers will remain unique only within a single set, not across multiple sets. If you request multiple sets, any particular number in Set 1 may still show up again in Set 2.

Sorting your numbers can be helpful if you are performing random sampling, but it is not desirable if you are performing random assignment. To learn more about the difference between random sampling and random assignment, please see the Research Randomizer Quick Tutorial.

Place Markers let you know where in the sequence a particular random number falls (by marking it with a small number immediately to the left). Examples: With Place Markers Off, your results will look something like this: Set #1: 2, 17, 23, 42, 50 Set #2: 5, 3, 42, 18, 20 This is the default layout Research Randomizer uses. With Place Markers Within, your results will look something like this: Set #1: p1=2, p2=17, p3=23, p4=42, p5=50 Set #2: p1=5, p2=3, p3=42, p4=18, p5=20 This layout allows you to know instantly that the number 23 is the third number in Set #1, whereas the number 18 is the fourth number in Set #2. Notice that with this option, the Place Markers begin again at p1 in each set. With Place Markers Across, your results will look something like this: Set #1: p1=2, p2=17, p3=23, p4=42, p5=50 Set #2: p6=5, p7=3, p8=42, p9=18, p10=20 This layout allows you to know that 23 is the third number in the sequence, and 18 is the ninth number over both sets. As discussed in the Quick Tutorial, this option is especially helpful for doing random assignment by blocks.

Please note: By using this service, you agree to abide by the SPN User Policy and to hold Research Randomizer and its staff harmless in the event that you experience a problem with the program or its results. Although every effort has been made to develop a useful means of generating random numbers, Research Randomizer and its staff do not guarantee the quality or randomness of numbers generated. Any use to which these numbers are put remains the sole responsibility of the user who generated them.

Note: By using Research Randomizer, you agree to its Terms of Service .

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Methodology

  • Random Assignment in Experiments | Introduction & Examples

Random Assignment in Experiments | Introduction & Examples

Published on March 8, 2021 by Pritha Bhandari . Revised on June 22, 2023.

In experimental research, random assignment is a way of placing participants from your sample into different treatment groups using randomization.

With simple random assignment, every member of the sample has a known or equal chance of being placed in a control group or an experimental group. Studies that use simple random assignment are also called completely randomized designs .

Random assignment is a key part of experimental design . It helps you ensure that all groups are comparable at the start of a study: any differences between them are due to random factors, not research biases like sampling bias or selection bias .

Table of contents

Why does random assignment matter, random sampling vs random assignment, how do you use random assignment, when is random assignment not used, other interesting articles, frequently asked questions about random assignment.

Random assignment is an important part of control in experimental research, because it helps strengthen the internal validity of an experiment and avoid biases.

In experiments, researchers manipulate an independent variable to assess its effect on a dependent variable, while controlling for other variables. To do so, they often use different levels of an independent variable for different groups of participants.

This is called a between-groups or independent measures design.

You use three groups of participants that are each given a different level of the independent variable:

  • a control group that’s given a placebo (no dosage, to control for a placebo effect ),
  • an experimental group that’s given a low dosage,
  • a second experimental group that’s given a high dosage.

Random assignment to helps you make sure that the treatment groups don’t differ in systematic ways at the start of the experiment, as this can seriously affect (and even invalidate) your work.

If you don’t use random assignment, you may not be able to rule out alternative explanations for your results.

  • participants recruited from cafes are placed in the control group ,
  • participants recruited from local community centers are placed in the low dosage experimental group,
  • participants recruited from gyms are placed in the high dosage group.

With this type of assignment, it’s hard to tell whether the participant characteristics are the same across all groups at the start of the study. Gym-users may tend to engage in more healthy behaviors than people who frequent cafes or community centers, and this would introduce a healthy user bias in your study.

Although random assignment helps even out baseline differences between groups, it doesn’t always make them completely equivalent. There may still be extraneous variables that differ between groups, and there will always be some group differences that arise from chance.

Most of the time, the random variation between groups is low, and, therefore, it’s acceptable for further analysis. This is especially true when you have a large sample. In general, you should always use random assignment in experiments when it is ethically possible and makes sense for your study topic.

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Random sampling and random assignment are both important concepts in research, but it’s important to understand the difference between them.

Random sampling (also called probability sampling or random selection) is a way of selecting members of a population to be included in your study. In contrast, random assignment is a way of sorting the sample participants into control and experimental groups.

While random sampling is used in many types of studies, random assignment is only used in between-subjects experimental designs.

Some studies use both random sampling and random assignment, while others use only one or the other.

Random sample vs random assignment

Random sampling enhances the external validity or generalizability of your results, because it helps ensure that your sample is unbiased and representative of the whole population. This allows you to make stronger statistical inferences .

You use a simple random sample to collect data. Because you have access to the whole population (all employees), you can assign all 8000 employees a number and use a random number generator to select 300 employees. These 300 employees are your full sample.

Random assignment enhances the internal validity of the study, because it ensures that there are no systematic differences between the participants in each group. This helps you conclude that the outcomes can be attributed to the independent variable .

  • a control group that receives no intervention.
  • an experimental group that has a remote team-building intervention every week for a month.

You use random assignment to place participants into the control or experimental group. To do so, you take your list of participants and assign each participant a number. Again, you use a random number generator to place each participant in one of the two groups.

To use simple random assignment, you start by giving every member of the sample a unique number. Then, you can use computer programs or manual methods to randomly assign each participant to a group.

  • Random number generator: Use a computer program to generate random numbers from the list for each group.
  • Lottery method: Place all numbers individually in a hat or a bucket, and draw numbers at random for each group.
  • Flip a coin: When you only have two groups, for each number on the list, flip a coin to decide if they’ll be in the control or the experimental group.
  • Use a dice: When you have three groups, for each number on the list, roll a dice to decide which of the groups they will be in. For example, assume that rolling 1 or 2 lands them in a control group; 3 or 4 in an experimental group; and 5 or 6 in a second control or experimental group.

This type of random assignment is the most powerful method of placing participants in conditions, because each individual has an equal chance of being placed in any one of your treatment groups.

Random assignment in block designs

In more complicated experimental designs, random assignment is only used after participants are grouped into blocks based on some characteristic (e.g., test score or demographic variable). These groupings mean that you need a larger sample to achieve high statistical power .

For example, a randomized block design involves placing participants into blocks based on a shared characteristic (e.g., college students versus graduates), and then using random assignment within each block to assign participants to every treatment condition. This helps you assess whether the characteristic affects the outcomes of your treatment.

In an experimental matched design , you use blocking and then match up individual participants from each block based on specific characteristics. Within each matched pair or group, you randomly assign each participant to one of the conditions in the experiment and compare their outcomes.

Sometimes, it’s not relevant or ethical to use simple random assignment, so groups are assigned in a different way.

When comparing different groups

Sometimes, differences between participants are the main focus of a study, for example, when comparing men and women or people with and without health conditions. Participants are not randomly assigned to different groups, but instead assigned based on their characteristics.

In this type of study, the characteristic of interest (e.g., gender) is an independent variable, and the groups differ based on the different levels (e.g., men, women, etc.). All participants are tested the same way, and then their group-level outcomes are compared.

When it’s not ethically permissible

When studying unhealthy or dangerous behaviors, it’s not possible to use random assignment. For example, if you’re studying heavy drinkers and social drinkers, it’s unethical to randomly assign participants to one of the two groups and ask them to drink large amounts of alcohol for your experiment.

When you can’t assign participants to groups, you can also conduct a quasi-experimental study . In a quasi-experiment, you study the outcomes of pre-existing groups who receive treatments that you may not have any control over (e.g., heavy drinkers and social drinkers). These groups aren’t randomly assigned, but may be considered comparable when some other variables (e.g., age or socioeconomic status) are controlled for.

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If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

  • Student’s  t -distribution
  • Normal distribution
  • Null and Alternative Hypotheses
  • Chi square tests
  • Confidence interval
  • Quartiles & Quantiles
  • Cluster sampling
  • Stratified sampling
  • Data cleansing
  • Reproducibility vs Replicability
  • Peer review
  • Prospective cohort study

Research bias

  • Implicit bias
  • Cognitive bias
  • Placebo effect
  • Hawthorne effect
  • Hindsight bias
  • Affect heuristic
  • Social desirability bias

In experimental research, random assignment is a way of placing participants from your sample into different groups using randomization. With this method, every member of the sample has a known or equal chance of being placed in a control group or an experimental group.

Random selection, or random sampling , is a way of selecting members of a population for your study’s sample.

In contrast, random assignment is a way of sorting the sample into control and experimental groups.

Random sampling enhances the external validity or generalizability of your results, while random assignment improves the internal validity of your study.

Random assignment is used in experiments with a between-groups or independent measures design. In this research design, there’s usually a control group and one or more experimental groups. Random assignment helps ensure that the groups are comparable.

In general, you should always use random assignment in this type of experimental design when it is ethically possible and makes sense for your study topic.

To implement random assignment , assign a unique number to every member of your study’s sample .

Then, you can use a random number generator or a lottery method to randomly assign each number to a control or experimental group. You can also do so manually, by flipping a coin or rolling a dice to randomly assign participants to groups.

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List Randomizer

Randomize and Shuffle List Items in a Random Order.

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A Randomizer is an online tool to shuffle and randomize a list of items and arrange it in a random order.

Enter your custom list of items or names in the form to rearrange the list items in a randomized order.

New: You can now save your list of items for next time. You can save multiple lists on your device and quickly load them into the List Randomizer.

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Tip: Do you need to pick a random item or create teams? Try the Name Picker or Team Generator .

Randomizer Settings

Shuffle list, how to randomize the order a list.

Randomize the order of a list with items in the following steps:

  • Enter a list of items.
  • Choose randomizer output.
  • Press Randomize list.
  • Copy randomized list.

What is a List Randomizer?

A List Randomizer, Ladder Shuffle or Random Order Generator is a tool that will randomize and shuffle the order of your list. The tool allows you to enter a list of custom items or names and generate a fully randomized list.

With the List Randomizer, you can shuffle and reorder any type of list, including names, numbers, songs in a playlist, letters, email addresses, and more. This tool is particularly useful for prioritizing a to-do list with tasks, deciding in what order to accomplish the tasks within the list.

Random Order Generator

The Random Order Generator can also shuffle the order of anything, from names to tasks to sports teams. Teachers can use it in the classroom to order students into teams and groups, and it's perfect for any games that require a randomized order.

No more shuffling items with post-its or a hat, because the Random List Generator app will do the magic for you! This tool is essential for anyone who needs to randomize the order of a list, even just once.

Randomizer example

Below is an image that shows an example of a randomized list with a random order. The original order of the list was 1 to 5, but after using a List Randomizer tool, the order of the items has been shuffled in a completely random order.

Example of a list in random order shuffled by the Randomizer.

Examples of lists you can randomize with the List Randomizer or Random Order Generator include:

  • Names for a raffle or lottery.
  • Tasks on a to-do list.
  • Songs in a playlist.
  • Email addresses for a newsletter.
  • Numbers for a game or contest.
  • Students in a classroom for teams or groups.
  • Sports teams for a tournament.

Have any feedback, suggestions, or tips for the Random List Generator? We would love to hear from you! Send us a message on Facebook or Instagram .

Frequently Asked Questions

You can find answers of frequently asked questions about our tool in the list below. Is your specific question not in the list? Please send us a message via Facebook or Instagram .

The Randomizer is free to use to shuffle and randomize the order of any list.

Simply enter your list of items into the List Randomizer tool and click on the "Randomize List" button. The tool will then generate a new random order for your list which you can easily copy, print or export.

The List Randomizer has no limits and can shuffle the order of an unlimited number of items in a list.

"Randomizer" is the spelling more commonly used in American English, while "Randomiser" is more commonly used in British English. Both spellings are correct and acceptable in their respective regions.

The List Randomizer uses complex algorithms to shuffle a list in random order. The algorithms generate a sequence of random numbers, which are then used to assign a new position to each item in the list. By doing so, the List Randomizer creates a new random order for the items in the list. The algorithms used by the List Randomizer are designed to ensure that the new order is truly random and unbiased, so that each item in the list has an equal chance of being placed in any position. This makes the List Randomizer a reliable tool for generating randomized lists..

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The Definition of Random Assignment According to Psychology

Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

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Emily is a board-certified science editor who has worked with top digital publishing brands like Voices for Biodiversity, Study.com, GoodTherapy, Vox, and Verywell.

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Random assignment refers to the use of chance procedures in psychology experiments to ensure that each participant has the same opportunity to be assigned to any given group in a study to eliminate any potential bias in the experiment at the outset. Participants are randomly assigned to different groups, such as the treatment group versus the control group. In clinical research, randomized clinical trials are known as the gold standard for meaningful results.

Simple random assignment techniques might involve tactics such as flipping a coin, drawing names out of a hat, rolling dice, or assigning random numbers to a list of participants. It is important to note that random assignment differs from random selection .

While random selection refers to how participants are randomly chosen from a target population as representatives of that population, random assignment refers to how those chosen participants are then assigned to experimental groups.

Random Assignment In Research

To determine if changes in one variable will cause changes in another variable, psychologists must perform an experiment. Random assignment is a critical part of the experimental design that helps ensure the reliability of the study outcomes.

Researchers often begin by forming a testable hypothesis predicting that one variable of interest will have some predictable impact on another variable.

The variable that the experimenters will manipulate in the experiment is known as the independent variable , while the variable that they will then measure for different outcomes is known as the dependent variable. While there are different ways to look at relationships between variables, an experiment is the best way to get a clear idea if there is a cause-and-effect relationship between two or more variables.

Once researchers have formulated a hypothesis, conducted background research, and chosen an experimental design, it is time to find participants for their experiment. How exactly do researchers decide who will be part of an experiment? As mentioned previously, this is often accomplished through something known as random selection.

Random Selection

In order to generalize the results of an experiment to a larger group, it is important to choose a sample that is representative of the qualities found in that population. For example, if the total population is 60% female and 40% male, then the sample should reflect those same percentages.

Choosing a representative sample is often accomplished by randomly picking people from the population to be participants in a study. Random selection means that everyone in the group stands an equal chance of being chosen to minimize any bias. Once a pool of participants has been selected, it is time to assign them to groups.

By randomly assigning the participants into groups, the experimenters can be fairly sure that each group will have the same characteristics before the independent variable is applied.

Participants might be randomly assigned to the control group , which does not receive the treatment in question. The control group may receive a placebo or receive the standard treatment. Participants may also be randomly assigned to the experimental group , which receives the treatment of interest. In larger studies, there can be multiple treatment groups for comparison.

There are simple methods of random assignment, like rolling the die. However, there are more complex techniques that involve random number generators to remove any human error.

There can also be random assignment to groups with pre-established rules or parameters. For example, if you want to have an equal number of men and women in each of your study groups, you might separate your sample into two groups (by sex) before randomly assigning each of those groups into the treatment group and control group.

Random assignment is essential because it increases the likelihood that the groups are the same at the outset. With all characteristics being equal between groups, other than the application of the independent variable, any differences found between group outcomes can be more confidently attributed to the effect of the intervention.

Example of Random Assignment

Imagine that a researcher is interested in learning whether or not drinking caffeinated beverages prior to an exam will improve test performance. After randomly selecting a pool of participants, each person is randomly assigned to either the control group or the experimental group.

The participants in the control group consume a placebo drink prior to the exam that does not contain any caffeine. Those in the experimental group, on the other hand, consume a caffeinated beverage before taking the test.

Participants in both groups then take the test, and the researcher compares the results to determine if the caffeinated beverage had any impact on test performance.

A Word From Verywell

Random assignment plays an important role in the psychology research process. Not only does this process help eliminate possible sources of bias, but it also makes it easier to generalize the results of a tested sample of participants to a larger population.

Random assignment helps ensure that members of each group in the experiment are the same, which means that the groups are also likely more representative of what is present in the larger population of interest. Through the use of this technique, psychology researchers are able to study complex phenomena and contribute to our understanding of the human mind and behavior.

Lin Y, Zhu M, Su Z. The pursuit of balance: An overview of covariate-adaptive randomization techniques in clinical trials . Contemp Clin Trials. 2015;45(Pt A):21-25. doi:10.1016/j.cct.2015.07.011

Sullivan L. Random assignment versus random selection . In: The SAGE Glossary of the Social and Behavioral Sciences. SAGE Publications, Inc.; 2009. doi:10.4135/9781412972024.n2108

Alferes VR. Methods of Randomization in Experimental Design . SAGE Publications, Inc.; 2012. doi:10.4135/9781452270012

Nestor PG, Schutt RK. Research Methods in Psychology: Investigating Human Behavior. (2nd Ed.). SAGE Publications, Inc.; 2015.

By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

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  • Random Assignment in Experiments | Introduction & Examples

Random Assignment in Experiments | Introduction & Examples

Published on 6 May 2022 by Pritha Bhandari . Revised on 13 February 2023.

In experimental research, random assignment is a way of placing participants from your sample into different treatment groups using randomisation.

With simple random assignment, every member of the sample has a known or equal chance of being placed in a control group or an experimental group. Studies that use simple random assignment are also called completely randomised designs .

Random assignment is a key part of experimental design . It helps you ensure that all groups are comparable at the start of a study: any differences between them are due to random factors.

Table of contents

Why does random assignment matter, random sampling vs random assignment, how do you use random assignment, when is random assignment not used, frequently asked questions about random assignment.

Random assignment is an important part of control in experimental research, because it helps strengthen the internal validity of an experiment.

In experiments, researchers manipulate an independent variable to assess its effect on a dependent variable, while controlling for other variables. To do so, they often use different levels of an independent variable for different groups of participants.

This is called a between-groups or independent measures design.

You use three groups of participants that are each given a different level of the independent variable:

  • A control group that’s given a placebo (no dosage)
  • An experimental group that’s given a low dosage
  • A second experimental group that’s given a high dosage

Random assignment to helps you make sure that the treatment groups don’t differ in systematic or biased ways at the start of the experiment.

If you don’t use random assignment, you may not be able to rule out alternative explanations for your results.

  • Participants recruited from pubs are placed in the control group
  • Participants recruited from local community centres are placed in the low-dosage experimental group
  • Participants recruited from gyms are placed in the high-dosage group

With this type of assignment, it’s hard to tell whether the participant characteristics are the same across all groups at the start of the study. Gym users may tend to engage in more healthy behaviours than people who frequent pubs or community centres, and this would introduce a healthy user bias in your study.

Although random assignment helps even out baseline differences between groups, it doesn’t always make them completely equivalent. There may still be extraneous variables that differ between groups, and there will always be some group differences that arise from chance.

Most of the time, the random variation between groups is low, and, therefore, it’s acceptable for further analysis. This is especially true when you have a large sample. In general, you should always use random assignment in experiments when it is ethically possible and makes sense for your study topic.

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Random sampling and random assignment are both important concepts in research, but it’s important to understand the difference between them.

Random sampling (also called probability sampling or random selection) is a way of selecting members of a population to be included in your study. In contrast, random assignment is a way of sorting the sample participants into control and experimental groups.

While random sampling is used in many types of studies, random assignment is only used in between-subjects experimental designs.

Some studies use both random sampling and random assignment, while others use only one or the other.

Random sample vs random assignment

Random sampling enhances the external validity or generalisability of your results, because it helps to ensure that your sample is unbiased and representative of the whole population. This allows you to make stronger statistical inferences .

You use a simple random sample to collect data. Because you have access to the whole population (all employees), you can assign all 8,000 employees a number and use a random number generator to select 300 employees. These 300 employees are your full sample.

Random assignment enhances the internal validity of the study, because it ensures that there are no systematic differences between the participants in each group. This helps you conclude that the outcomes can be attributed to the independent variable .

  • A control group that receives no intervention
  • An experimental group that has a remote team-building intervention every week for a month

You use random assignment to place participants into the control or experimental group. To do so, you take your list of participants and assign each participant a number. Again, you use a random number generator to place each participant in one of the two groups.

To use simple random assignment, you start by giving every member of the sample a unique number. Then, you can use computer programs or manual methods to randomly assign each participant to a group.

  • Random number generator: Use a computer program to generate random numbers from the list for each group.
  • Lottery method: Place all numbers individually into a hat or a bucket, and draw numbers at random for each group.
  • Flip a coin: When you only have two groups, for each number on the list, flip a coin to decide if they’ll be in the control or the experimental group.
  • Use a dice: When you have three groups, for each number on the list, roll a die to decide which of the groups they will be in. For example, assume that rolling 1 or 2 lands them in a control group; 3 or 4 in an experimental group; and 5 or 6 in a second control or experimental group.

This type of random assignment is the most powerful method of placing participants in conditions, because each individual has an equal chance of being placed in any one of your treatment groups.

Random assignment in block designs

In more complicated experimental designs, random assignment is only used after participants are grouped into blocks based on some characteristic (e.g., test score or demographic variable). These groupings mean that you need a larger sample to achieve high statistical power .

For example, a randomised block design involves placing participants into blocks based on a shared characteristic (e.g., college students vs graduates), and then using random assignment within each block to assign participants to every treatment condition. This helps you assess whether the characteristic affects the outcomes of your treatment.

In an experimental matched design , you use blocking and then match up individual participants from each block based on specific characteristics. Within each matched pair or group, you randomly assign each participant to one of the conditions in the experiment and compare their outcomes.

Sometimes, it’s not relevant or ethical to use simple random assignment, so groups are assigned in a different way.

When comparing different groups

Sometimes, differences between participants are the main focus of a study, for example, when comparing children and adults or people with and without health conditions. Participants are not randomly assigned to different groups, but instead assigned based on their characteristics.

In this type of study, the characteristic of interest (e.g., gender) is an independent variable, and the groups differ based on the different levels (e.g., men, women). All participants are tested the same way, and then their group-level outcomes are compared.

When it’s not ethically permissible

When studying unhealthy or dangerous behaviours, it’s not possible to use random assignment. For example, if you’re studying heavy drinkers and social drinkers, it’s unethical to randomly assign participants to one of the two groups and ask them to drink large amounts of alcohol for your experiment.

When you can’t assign participants to groups, you can also conduct a quasi-experimental study . In a quasi-experiment, you study the outcomes of pre-existing groups who receive treatments that you may not have any control over (e.g., heavy drinkers and social drinkers).

These groups aren’t randomly assigned, but may be considered comparable when some other variables (e.g., age or socioeconomic status) are controlled for.

In experimental research, random assignment is a way of placing participants from your sample into different groups using randomisation. With this method, every member of the sample has a known or equal chance of being placed in a control group or an experimental group.

Random selection, or random sampling , is a way of selecting members of a population for your study’s sample.

In contrast, random assignment is a way of sorting the sample into control and experimental groups.

Random sampling enhances the external validity or generalisability of your results, while random assignment improves the internal validity of your study.

Random assignment is used in experiments with a between-groups or independent measures design. In this research design, there’s usually a control group and one or more experimental groups. Random assignment helps ensure that the groups are comparable.

In general, you should always use random assignment in this type of experimental design when it is ethically possible and makes sense for your study topic.

To implement random assignment , assign a unique number to every member of your study’s sample .

Then, you can use a random number generator or a lottery method to randomly assign each number to a control or experimental group. You can also do so manually, by flipping a coin or rolling a die to randomly assign participants to groups.

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What Is Random Assignment in Psychology?

Categories Research Methods

What Is Random Assignment in Psychology?

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Random assignment means that every participant has the same chance of being chosen for the experimental or control group. It involves using procedures that rely on chance to assign participants to groups. Doing this means that every participant in a study has an equal opportunity to be assigned to any group.

For example, in a psychology experiment, participants might be assigned to either a control or experimental group. Some experiments might only have one experimental group, while others may have several treatment variations.

Using random assignment means that each participant has the same chance of being assigned to any of these groups.

How to Use Random Assignment

So what type of procedures might psychologists utilize for random assignment? Strategies can include:

  • Flipping a coin
  • Assigning random numbers
  • Rolling dice
  • Drawing names out of a hat

How Does Random Assignment Work?

A psychology experiment aims to determine if changes in one variable lead to changes in another variable. Researchers will first begin by coming up with a hypothesis. Once researchers have an idea of what they think they might find in a population, they will come up with an experimental design and then recruit participants for their study.

Once they have a pool of participants representative of the population they are interested in looking at, they will randomly assign the participants to their groups.

  • Control group : Some participants will end up in the control group, which serves as a baseline and does not receive the independent variables.
  • Experimental group : Other participants will end up in the experimental groups that receive some form of the independent variables.

By using random assignment, the researchers make it more likely that the groups are equal at the start of the experiment. Since the groups are the same on other variables, it can be assumed that any changes that occur are the result of varying the independent variables.

After a treatment has been administered, the researchers will then collect data in order to determine if the independent variable had any impact on the dependent variable.

Random Assignment vs. Random Selection

It is important to remember that random assignment is not the same thing as random selection , also known as random sampling.

Random selection instead involves how people are chosen to be in a study. Using random selection, every member of a population stands an equal chance of being chosen for a study or experiment.

So random sampling affects how participants are chosen for a study, while random assignment affects how participants are then assigned to groups.

Examples of Random Assignment

Imagine that a psychology researcher is conducting an experiment to determine if getting adequate sleep the night before an exam results in better test scores.

Forming a Hypothesis

They hypothesize that participants who get 8 hours of sleep will do better on a math exam than participants who only get 4 hours of sleep.

Obtaining Participants

The researcher starts by obtaining a pool of participants. They find 100 participants from a local university. Half of the participants are female, and half are male.

Randomly Assign Participants to Groups

The researcher then assigns random numbers to each participant and uses a random number generator to randomly assign each number to either the 4-hour or 8-hour sleep groups.

Conduct the Experiment

Those in the 8-hour sleep group agree to sleep for 8 hours that night, while those in the 4-hour group agree to wake up after only 4 hours. The following day, all of the participants meet in a classroom.

Collect and Analyze Data

Everyone takes the same math test. The test scores are then compared to see if the amount of sleep the night before had any impact on test scores.

Why Is Random Assignment Important in Psychology Research?

Random assignment is important in psychology research because it helps improve a study’s internal validity. This means that the researchers are sure that the study demonstrates a cause-and-effect relationship between an independent and dependent variable.

Random assignment improves the internal validity by minimizing the risk that there are systematic differences in the participants who are in each group.

Key Points to Remember About Random Assignment

  • Random assignment in psychology involves each participant having an equal chance of being chosen for any of the groups, including the control and experimental groups.
  • It helps control for potential confounding variables, reducing the likelihood of pre-existing differences between groups.
  • This method enhances the internal validity of experiments, allowing researchers to draw more reliable conclusions about cause-and-effect relationships.
  • Random assignment is crucial for creating comparable groups and increasing the scientific rigor of psychological studies.

Kendra Cherry

Kendra Cherry, MS.Ed., is an author, educator, and founder of Explore Psychology, an online psychology resource. She is a health writer and editor specializing in psychology, mental health, and wellness. She also writes for Verywell Mind and is the author of the Everything Psychology book (Adams Media). Follow her on Twitter , Facebook , Instagram , and Pinterest .

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  • Using the random picker
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  • Applications of an online random picker

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     Random generators

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Random Assignment in Psychology (Intro for Students)

random assignment examples and definition, explained below

Random assignment is a research procedure used to randomly assign participants to different experimental conditions (or ‘groups’). This introduces the element of chance, ensuring that each participant has an equal likelihood of being placed in any condition group for the study.

It is absolutely essential that the treatment condition and the control condition are the same in all ways except for the variable being manipulated.

Using random assignment to place participants in different conditions helps to achieve this.

It ensures that those conditions are the same in regards to all potential confounding variables and extraneous factors .

Why Researchers Use Random Assignment

Researchers use random assignment to control for confounds in research.

Confounds refer to unwanted and often unaccounted-for variables that might affect the outcome of a study. These confounding variables can skew the results, rendering the experiment unreliable.

For example, below is a study with two groups. Note how there are more ‘red’ individuals in the first group than the second:

a representation of a treatment condition showing 12 red people in the cohort

There is likely a confounding variable in this experiment explaining why more red people ended up in the treatment condition and less in the control condition. The red people might have self-selected, for example, leading to a skew of them in one group over the other.

Ideally, we’d want a more even distribution, like below:

a representation of a treatment condition showing 4 red people in the cohort

To achieve better balance in our two conditions, we use randomized sampling.

Fact File: Experiments 101

Random assignment is used in the type of research called the experiment.

An experiment involves manipulating the level of one variable and examining how it affects another variable. These are the independent and dependent variables :

  • Independent Variable: The variable manipulated is called the independent variable (IV)
  • Dependent Variable: The variable that it is expected to affect is called the dependent variable (DV).

The most basic form of the experiment involves two conditions: the treatment and the control .

  • The Treatment Condition: The treatment condition involves the participants being exposed to the IV.
  • The Control Condition: The control condition involves the absence of the IV. Therefore, the IV has two levels: zero and some quantity.

Researchers utilize random assignment to determine which participants go into which conditions.

Methods of Random Assignment

There are several procedures that researchers can use to randomly assign participants to different conditions.

1. Random number generator

There are several websites that offer computer-generated random numbers. Simply indicate how many conditions are in the experiment and then click. If there are 4 conditions, the program will randomly generate a number between 1 and 4 each time it is clicked.

2. Flipping a coin

If there are two conditions in an experiment, then the simplest way to implement random assignment is to flip a coin for each participant. Heads means being assigned to the treatment and tails means being assigned to the control (or vice versa).

3. Rolling a die

Rolling a single die is another way to randomly assign participants. If the experiment has three conditions, then numbers 1 and 2 mean being assigned to the control; numbers 3 and 4 mean treatment condition one; and numbers 5 and 6 mean treatment condition two.

4. Condition names in a hat

In some studies, the researcher will write the name of the treatment condition(s) or control on slips of paper and place them in a hat. If there are 4 conditions and 1 control, then there are 5 slips of paper.

The researcher closes their eyes and selects one slip for each participant. That person is then assigned to one of the conditions in the study and that slip of paper is placed back in the hat. Repeat as necessary.

There are other ways of trying to ensure that the groups of participants are equal in all ways with the exception of the IV. However, random assignment is the most often used because it is so effective at reducing confounds.

Read About More Methods and Examples of Random Assignment Here

Potential Confounding Effects

Random assignment is all about minimizing confounding effects.

Here are six types of confounds that can be controlled for using random assignment:

  • Individual Differences: Participants in a study will naturally vary in terms of personality, intelligence, mood, prior knowledge, and many other characteristics. If one group happens to have more people with a particular characteristic, this could affect the results. Random assignment ensures that these individual differences are spread out equally among the experimental groups, making it less likely that they will unduly influence the outcome.
  • Temporal or Time-Related Confounds: Events or situations that occur at a particular time can influence the outcome of an experiment. For example, a participant might be tested after a stressful event, while another might be tested after a relaxing weekend. Random assignment ensures that such effects are equally distributed among groups, thus controlling for their potential influence.
  • Order Effects: If participants are exposed to multiple treatments or tests, the order in which they experience them can influence their responses. Randomly assigning the order of treatments for different participants helps control for this.
  • Location or Environmental Confounds: The environment in which the study is conducted can influence the results. One group might be tested in a noisy room, while another might be in a quiet room. Randomly assigning participants to different locations can control for these effects.
  • Instrumentation Confounds: These occur when there are variations in the calibration or functioning of measurement instruments across conditions. If one group’s responses are being measured using a slightly different tool or scale, it can introduce a confound. Random assignment can ensure that any such potential inconsistencies in instrumentation are equally distributed among groups.
  • Experimenter Effects: Sometimes, the behavior or expectations of the person administering the experiment can unintentionally influence the participants’ behavior or responses. For instance, if an experimenter believes one treatment is superior, they might unconsciously communicate this belief to participants. Randomly assigning experimenters or using a double-blind procedure (where neither the participant nor the experimenter knows the treatment being given) can help control for this.

Random assignment helps balance out these and other potential confounds across groups, ensuring that any observed differences are more likely due to the manipulated independent variable rather than some extraneous factor.

Limitations of the Random Assignment Procedure

Although random assignment is extremely effective at eliminating the presence of participant-related confounds, there are several scenarios in which it cannot be used.

  • Ethics: The most obvious scenario is when it would be unethical. For example, if wanting to investigate the effects of emotional abuse on children, it would be unethical to randomly assign children to either received abuse or not.  Even if a researcher were to propose such a study, it would not receive approval from the Institutional Review Board (IRB) which oversees research by university faculty.
  • Practicality: Other scenarios involve matters of practicality. For example, randomly assigning people to specific types of diet over a 10-year period would be interesting, but it would be highly unlikely that participants would be diligent enough to make the study valid. This is why examining these types of subjects has to be carried out through observational studies . The data is correlational, which is informative, but falls short of the scientist’s ultimate goal of identifying causality.
  • Small Sample Size: The smaller the sample size being assigned to conditions, the more likely it is that the two groups will be unequal. For example, if you flip a coin many times in a row then you will notice that sometimes there will be a string of heads or tails that come up consecutively. This means that one condition may have a build-up of participants that share the same characteristics. However, if you continue flipping the coin, over the long-term, there will be a balance of heads and tails. Unfortunately, how large a sample size is necessary has been the subject of considerable debate (Bloom, 2006; Shadish et al., 2002).

“It is well known that larger sample sizes reduce the probability that random assignment will result in conditions that are unequal” (Goldberg, 2019, p. 2).

Applications of Random Assignment

The importance of random assignment has been recognized in a wide range of scientific and applied disciplines (Bloom, 2006).

Random assignment began as a tool in agricultural research by Fisher (1925, 1935). After WWII, it became extensively used in medical research to test the effectiveness of new treatments and pharmaceuticals (Marks, 1997).

Today it is widely used in industrial engineering (Box, Hunter, and Hunter, 2005), educational research (Lindquist, 1953; Ong-Dean et al., 2011)), psychology (Myers, 1972), and social policy studies (Boruch, 1998; Orr, 1999).

One of the biggest obstacles to the validity of an experiment is the confound. If the group of participants in the treatment condition are substantially different from the group in the control condition, then it is impossible to determine if the IV has an affect or if the confound has an effect.

Thankfully, random assignment is highly effective at eliminating confounds that are known and unknown. Because each participant has an equal chance of being placed in each condition, they are equally distributed.

There are several ways of implementing random assignment, including flipping a coin or using a random number generator.

Random assignment has become an essential procedure in research in a wide range of subjects such as psychology, education, and social policy.

Alferes, V. R. (2012). Methods of randomization in experimental design . Sage Publications.

Bloom, H. S. (2008). The core analytics of randomized experiments for social research. The SAGE Handbook of Social Research Methods , 115-133.

Boruch, R. F. (1998). Randomized controlled experiments for evaluation and planning. Handbook of applied social research methods , 161-191.

Box, G. E., Hunter, W. G., & Hunter, J. S. (2005). Design of experiments: Statistics for Experimenters: Design, Innovation and Discovery.

Dehue, T. (1997). Deception, efficiency, and random groups: Psychology and the gradual origination of the random group design. Isis , 88 (4), 653-673.

Fisher, R.A. (1925). Statistical methods for research workers (11th ed. rev.). Oliver and Boyd: Edinburgh.

Fisher, R. A. (1935). The Design of Experiments. Edinburgh: Oliver and Boyd.

Goldberg, M. H. (2019). How often does random assignment fail? Estimates and recommendations. Journal of Environmental Psychology , 66 , 101351.

Jamison, J. C. (2019). The entry of randomized assignment into the social sciences. Journal of Causal Inference , 7 (1), 20170025.

Lindquist, E. F. (1953). Design and analysis of experiments in psychology and education . Boston: Houghton Mifflin Company.

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Myers, J. L. (1972). Fundamentals of experimental design (2nd ed.). Allyn & Bacon.

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Orr, L. L. (1999). Social experiments: Evaluating public programs with experimental methods . Sage.

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Dave Cornell (PhD)

Dr. Cornell has worked in education for more than 20 years. His work has involved designing teacher certification for Trinity College in London and in-service training for state governments in the United States. He has trained kindergarten teachers in 8 countries and helped businessmen and women open baby centers and kindergartens in 3 countries.

  • Dave Cornell (PhD) https://helpfulprofessor.com/author/dave-cornell-phd/ 25 Positive Punishment Examples
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Woman formerly known as Rachel Dolezal fired from teaching gig over OnlyFans account

A former NAACP leader in Washington state who was exposed for pretending to be Black in 2015 is now making headlines for a different controversy.

Rachel Dolezal, who legally changed her name to Nkechi Diallo in 2016, was fired by the Catalina Foothills Unified School District in Arizona over her OnlyFans account, NBC News confirmed.

Her account had also made headlines in 2022, when leaked photos of her posing in lingerie circulated online.

The 18-and-up platform, which hosts millions of content creators, is known primarily as a service where sex workers share explicit photos behind a monthly paywall, although creators can share anything from cooking tutorials to fitness routines. Subscribers can also pay extra fees to receive personalized pay-per-view messages from their favorite creators.

Rachel Dolezal appears on NBC's "TODAY" Show on March 27, 2017.

Though the controversial figure has been active on the content subscription platform for years, the district didn’t learn of Diallo’s OnlyFans posts until Tuesday afternoon, according to Julie Farbarik, a spokesperson for Catalina Foothills Unified School District.

“Her posts are contrary to our district’s ‘Use of Social Media by District Employees’ policy,” Farbarik wrote in an email. The policy states that employees should not communicate online in a manner that’s “unprofessional” or that would “significantly and adversely impact [their] work-related reputation.”

Though the images on her page are hidden for nonsubscribers, many of the captions on her posts appear sexually suggestive.

Diallo had started with the school district in August last year as a part-time afterschool instructor working with elementary school students. She was also a substitute teacher under the district’s substitute contract provider.

She did not respond to attempts to reach her for comment made via email and Instagram direct message. Two of her listed phone numbers were out of service. 

Nearly a decade ago, after a media scandal led her to confess that she was born to white parents despite identifying as a Black woman, Diallo, then Dolezal, was forced to resign as the head of her local NAACP chapter in Spokane, Washington, and was removed from a police ombudsman commission. The controversy ignited outrage and public discourse around the concept of “race faking.”

In 2019, she accepted a plea deal after being charged with welfare fraud over allegations that she failed to report tens of thousands of dollars in revenue from her 2017 memoir, “In Full Color: Finding My Place in a Black and White World,” and other income sources, in order to collect more than $8,800 in food and child care assistance from Washington state.

Diallo has been posting to her verified OnlyFans account, which offers subscriptions of $9.99 a month, since late 2021. Her bio describes her page as a place “where I post creative content and give fans a more Intimate look into my life,” and promotes a link to her Amazon wishlist — which allows people to gift her items such as handmade soap, stiletto sandals and a teacup set.

OnlyFans did not immediately respond to a request for comment.

In recent years, there have been multiple instances of teachers losing their jobs over their OnlyFans side gigs, which many creators use as a way to supplement wages from other jobs. In late 2023, one teacher was fired and another resigned in St. Louis after their school district discovered their accounts. One  told NBC Los Angeles  that the financial struggle brought on by low teaching salaries left them with little choice.

random assignment names

Angela Yang is a culture and trends reporter for NBC News.

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COMMENTS

  1. RANDOM.ORG

    List Randomizer This form allows you to arrange the items of a list in random order. The randomness comes from atmospheric noise, which for many purposes is better than the pseudo-random number algorithms typically used in computer programs. Part 1: Enter List Items Enter your items in the field below, each on a separate line.

  2. Random Name Picker

    A free online name picker that allows you to randomly select a name from an urn (bag) of names. Random name picker to draw one or more names from a list of specified names. Useful for raffles, games, team picking, etc.

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    Custom List Decision Maker Name Picker Team Generator Yes or No or just create your own list. Enter all the names and get a random one back. It's faster than building a spinning wheel and more sanitary than reaching in a hat. Just quickly pick a name.

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    The first step is to choose the actual way you want to use it. There are two distinct ways it can be used depending on whether you want to create entirely new random names or if you want to use a name randomizer as a name picker from a list of names you already have. The name randomizer from a list is pretty simple and straightforward.

  5. Wheel of Names

    The setting of a random rotation is not visible to the naked eye as it happens when the wheel is spinning quite fast. Randomness of the wheel. Free and easy to use spinner. Used by teachers and for raffles. Enter names and spin the wheel to pick a random winner. Customize look and feel, save and share wheels.

  6. Team Picker Wheel

    Team Picker Wheel is a specialized random team generator that can produce random groups from a list of names. Download results in a CSV file or an image. ... and immediately into groups for assignment or discussion. Lecturer can also directly replace the team names with the task names. Use Case 2 - Game. There are a lot of games involving ...

  7. Research Randomizer

    Research Randomizer is a free resource for researchers and students in need of a quick way to generate random numbers or assign participants to experimental conditions. This site can be used for a variety of purposes, including psychology experiments, medical trials, and survey research.

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    Click Calculate to pick your first 4 random names. Record the names as a team and then remove them from the input list. Click Calculate again to pick 4 names from the remaining 16 in the list. Repeat this process until you have 5 teams with 4 names randomly picked for each team.

  9. Random Assignment in Experiments

    In experimental research, random assignment is a way of placing participants from your sample into different treatment groups using randomization. With simple random assignment, every member of the sample has a known or equal chance of being placed in a control group or an experimental group.

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    Randomly assign players into teams, based on a list of names, one per line. Quick navigation: Using the random team generator Applications of a random team generator Random Sports Team Picker Random Team Assignement at Team-building Events Randomly Distributing Chores or Tasks Shuffling board game players Are the teams truly random?

  11. List Randomizer: Shuffle List Items in a Random Order

    A List Randomizer, Ladder Shuffle or Random Order Generator is a tool that will randomize and shuffle the order of your list. The tool allows you to enter a list of custom items or names and generate a fully randomized list. With the List Randomizer, you can shuffle and reorder any type of list, including names, numbers, songs in a playlist ...

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    Simply enter all the player names and click "Randomize list". If you need two teams, select the first half of the shuffled names for team 1 and the second for team 2. A similar process can be followed for any number of teams as long as the total number of players is divisible by the number of teams to fill.

  13. Random Assignment in Experiments

    Fun Random Assignment in Experiments By Jim Frost 4 Comments Random assignment uses chance to assign subjects to the control and treatment groups in an experiment.

  14. The Definition of Random Assignment In Psychology

    Simple random assignment techniques might involve tactics such as flipping a coin, drawing names out of a hat, rolling dice, or assigning random numbers to a list of participants. It is important to note that random assignment differs from random selection .

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    Random Team Generator: Rerun Edit Group 1 Brock Holly Pete Jesse Group 2 Hector Gale Gustavo Skyler Group 3 Marie Saul Hank Jane Group 4 Lydia Walter Mike Todd Rerun Edit Share Edit Settings Dataset Items Brock Gale Gustavo Hank Hector Holly Jane Jesse Lydia Marie Mike Pete Saul Skyler Todd Walter Groups Rerun How to create randomized groups

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    This random name generator can suggest names for babies, characters, or anything else that needs naming.

  17. Random Assignment in Experiments

    Random sampling (also called probability sampling or random selection) is a way of selecting members of a population to be included in your study. In contrast, random assignment is a way of sorting the sample participants into control and experimental groups. While random sampling is used in many types of studies, random assignment is only used ...

  18. Random sampling vs. random assignment (scope of inference)

    The names of all of the students in the school are put in a bowl and 50 names are drawn. The first 50 students who come into the cafeteria are asked to participate. -Represents a Random Selection All of the students vote 1. All of the students select a marble from a bag, and the 50 students with green marbles participate. 2.

  19. What Is Random Assignment in Psychology?

    Random assignment in psychology involves each participant having an equal chance of being chosen for any of the groups, including the control and experimental groups. It helps control for potential confounding variables, reducing the likelihood of pre-existing differences between groups. This method enhances the internal validity of experiments ...

  20. 15 Random Assignment Examples (2024)

    1. Simple Random Assignment This is the most basic form of random assignment. All participants are pooled together and then divided randomly into groups using an equivalent chance process such as flipping a coin, drawing names from a hat, or using a random number generator.

  21. Random Picker

    A free online random picker that allows you to randomly select one thing from an urn (bag) of things or names. Randomly pick a winner from a list of names or draw a random prize from a list of prizes. Random picker to draw one or more items from a list of things, e.g. pick a random winner. Random selector useful for raffles, games, team picking, drawing, etc.

  22. How to Randomize List of Names in Excel (8 Easy Methods)

    📌 Steps: To begin with this method, enter the following formula in cell B5. =RANDBETWEEN (1,20) Thus, the given function will generate some random number between 1 to 20.

  23. Random Assignment in Psychology (Intro for Students)

    Random assignment is a research procedure used to randomly assign participants to different experimental conditions (or 'groups'). This introduces the element of chance, ensuring that each participant has an equal likelihood of being placed in any condition group for the study. It is absolutely essential that the treatment condition and the ...

  24. Woman formerly known as Rachel Dolezal fired from teaching gig over

    Rachel Dolezal, who legally changed her name to Nkechi Diallo in 2016, was fired by the Catalina Foothills Unified School District in Arizona over her OnlyFans account, NBC News confirmed.