Double-Blind Experimental Study And Procedure Explained
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What is a Blinded Study?
- Binding, or masking, refers to withholding information regarding treatment allocation from one or more participants in a clinical research study, typically in randomized control trials .
- A blinded study prevents the participants from knowing about their treatment to avoid bias in the research. Any information that can influence the subjects is withheld until the completion of the research.
- Blinding can be imposed on any participant in an experiment, including researchers, data collectors, evaluators, technicians, and data analysts.
- Good blinding can eliminate experimental biases arising from the subjects’ expectations, observer bias, confirmation bias, researcher bias, observer’s effect on the participants, and other biases that may occur in a research test.
- Studies may use single-, double- or triple-blinding. A trial that is not blinded is called an open trial.
Double-Blind Studies
Double-blind studies are those in which neither the participants nor the experimenters know who is receiving a particular treatment.
Double blinding prevents bias in research results, specifically due to demand characteristics or the placebo effect.
Demand characteristics are subtle cues from researchers that can inform the participants of what the experimenter expects to find or how participants are expected to behave.
If participants know which group they are assigned to, they might change their behavior in a way that would influence the results. Similarly, if a researcher knows which group a participant is assigned to, they might act in a way that reveals the assignment or influences the results.
Double-blinding attempts to prevent these risks, ensuring that any difference(s) between the groups can be attributed to the treatment.
On the other hand, single-blind studies are those in which the experimenters are aware of which participants are receiving the treatment while the participants are unaware.
Single-blind studies are beneficial because they reduce the risk of errors due to subject expectations. However, single-blind studies do not prevent observer bias, confirmation bias , or bias due to demand characteristics.
Because the experiments are aware of which participants are receiving which treatments, they are more likely to reveal subtle clues that can accidentally influence the research outcome.
Double-blind studies are considered the gold standard in research because they help to control for experimental biases arising from the subjects’ expectations and experimenter biases that emerge when the researchers unknowingly influence how the subjects respond or how the data is collected.
Using the double-blind method improves the credibility and validity of a study .
Example Double-Blind Studies
Rostock and Huber (2014) used a randomized, placebo-controlled, double-blind study to investigate the immunological effects of mistletoe extract. However, their study showed that double-blinding is impossible when the investigated therapy has obvious side effects.
Using a double-blind study, Kobak et al. (2005) found that S t John’s wort ( Hypericum perforatum ) is not an efficacious treatment for anxiety disorder, specifically OCD.
Using the Yale–Brown Obsessive–Compulsive Scale (Y-BOCS), they found that the mean change with St John’s wort was not significantly different from the mean change found with placebo.
Cakir et al. (2014) conducted a randomized, controlled, and double-blind study to test the efficacy of therapeutic ultrasound for managing knee osteoarthritis.
They found that all assessment parameters significantly improved in all groups without a significant difference, suggesting that therapeutic ultrasound provided no additional benefit in improving pain and functions in addition to exercise training.
Using a randomized double-blind study, Papachristofilou et al. (2021) found that whole-lung LDRT failed to improve clinical outcomes in critically ill patients admitted to the intensive care unit requiring mechanical ventilation for COVID-19 pneumonia.
Double-Blinding Procedure
Double blinding is typically used in clinical research studies or clinical trials to test the safety and efficacy of various biomedical and behavioral interventions.
In such studies, researchers tend to use a placebo. A placebo is an inactive substance, typically a sugar pill, that is designed to look like the drug or treatment being tested but has no effect on the individual taking it.
The placebo pill was given to the participants who were randomly assigned to the control group. This group serves as a baseline to determine if exposure to the treatment had any significant effects.
Those randomly assigned to the experimental group are given the actual treatment in question. Data is collected from both groups and then compared to determine if the treatment had any impact on the dependent variable.
All participants in the study will take a pill or receive a treatment, but only some of them will receive the real treatment under investigation while the rest of the subjects will receive a placebo.
With double blinding, neither the participants nor the experimenters will have any idea who receives the real drug and who receives the placebo.
For Example
A common example of double-blinding is clinical studies that are conducted to test new drugs.
In these studies, researchers will use random assignment to allocate patients into one of three groups: the treatment/experimental group (which receives the drug), the placebo group (which receives an inactive substance that looks identical to the treatment but has no drug in it), and the control group (which receives no treatment).
Both participants and researchers are kept unaware of which participants are allocated to which of the three groups.
The effects of the drug are measured by recording any symptoms noticed in the patients.
Once the study is unblinded, and the researchers and participants are made aware of who is in which group, the data can be analyzed to determine whether the drug had effects that were not seen in the placebo or control group, but only in the experimental group.
Double-blind studies can also be beneficial in nonmedical interventions, such as psychotherapIes.
Reduces risk of bias
Double-blinding can eliminate, or significantly reduce, both observer bias and participant biases.
Because both the researcher and the subjects are unaware of the treatment assignments, it is difficult for their expectations or behaviors to influence the study.
Results can be duplicated
The results of a double-blind study can be duplicated, enabling other researchers to follow the same processes, apply the same test item, and compare their results with the control group.
If the results are similar, then it adds more validity to the ability of a medication or treatment to provide benefits.
It tests for three groups
Double-blind studies usually involve three groups of subjects: the treatment group, the placebo group, and the control group.
The treatment and placebo groups are both given the test item, although the researcher does not know which group is getting real treatment or placebo treatment.
The control group doesn’t receive anything because it serves as the baseline against which the other two groups are compared.
This is an advantage because if subjects in the placebo group improved more than the subjects in the control group, then researchers can conclude that the treatment administered worked.
Applicable across multiple industries
Double-blind studies can be used across multiple industries, such as agriculture, biology, chemistry, engineering, and social sciences.
Double-blind studies are used primarily by the pharmaceutical industry because researchers can look directly at the impact of medications.
Disadvantages
Inability to blind.
In some types of research, specifically therapeutic, the treatment cannot always be disguised from the participant or the experimenter. In these cases, you must rely on other methods to reduce bias.
Additionally, imposing blinding may be impossible or unethical for some studies.
Double-blinding can be expensive because the researcher has to examine all the possible variables and may have to use different groups to gather enough data.
Small Sample Size
Most double-blind studies are too small to provide a representative sample. To be effective, it is generally recommended that double-blind trials include around 100-300 participants.
Studies involving fewer than 30 participants generally can’t provide proof of a theory.
Negative Reaction to Placebo
In some instances, participants can have adverse reactions to the placebo, even producing unwanted side effects as if they were taking a real medication.
It doesn’t reflect real-life circumstances
When participants receive treatment or medication in a double-blind placebo study, each individual is told that the item in question might be real medication or a placebo.
This artificial situation does not represent real-life circumstances because when a patient receives a pill after going to the doctor in the real-world, they are told that the product is actual medicine intended to benefit them.
When situations don’t feel realistic to a participant, then the quality of the data can decrease exponentially.
What is the difference between a single-blind, double-blind, and triple-blind study?
In a single-blind study, the experimenters are aware of which participants are receiving the treatment while the participants are unaware.
In a double-blind study, neither the patients nor the researchers know which study group the patients are in. In a triple-blind study, neither the patients, clinicians, nor the people carrying out the statistical analysis know which treatment the subjects had.
Is a double-blind study the same as a randomized clinical trial?
Yes, a double-blind study is a form of a randomized clinical trial in which neither the participants nor the researcher know if a subject is receiving the experimental treatment, a standard treatment, or a placebo.
Are double-blind studies ethical?
Double blinding is ethical only if it serves a scientific purpose. In most circumstances, it is unethical to conduct a double-blind placebo controlled trial where standard therapy exists.
What is the purpose of randomization using double blinding?
Randomization with blinding avoids reporting bias, since no one knows who is being treated and who is not, and thus all treatment groups should be treated the same. This reduces the influence of confounding variables and improves the reliability of clinical trial results.
Why are double-blind experiments considered the gold standard?
Randomized double-blind placebo control studies are considered the “gold standard” of epidemiologic studies as they provide the strongest possible evidence of causality.
Additionally, because neither the participants nor the researchers know who has received what treatment, double-blind studies minimize the placebo effect and significantly reduce bias.
Can blinding be used in qualitative studies?
Yes, blinding is used in qualitative studies .
Cakir, S., Hepguler, S., Ozturk, C., Korkmaz, M., Isleten, B., & Atamaz, F. C. (2014). Efficacy of therapeutic ultrasound for the management of knee osteoarthritis: a randomized, controlled, and double-blind study. American journal of physical medicine & rehabilitation , 93 (5), 405-412.
Kobak, K. A., Taylor, L. V., Bystritsky, A., Kohlenberg, C. J., Greist, J. H., Tucker, P., … & Vapnik, T. (2005). St John’s wort versus placebo in obsessive–compulsive disorder: results from a double-blind study. International Clinical Psychopharmacology , 20 (6), 299-304.
Papachristofilou, A., Finazzi, T., Blum, A., Zehnder, T., Zellweger, N., Lustenberger, J., … & Siegemund, M. (2021). Low-dose radiation therapy for severe COVID-19 pneumonia: a randomized double-blind study. International Journal of Radiation Oncology* Biology* Physics , 110 (5), 1274-1282. Rostock, M., & Huber, R. (2004). Randomized and double-blind studies–demands and reality as demonstrated by two examples of mistletoe research. Complementary Medicine Research , 11 (Suppl. 1), 18-22.
16 Advantages and Disadvantages of a Double-Blind Study
A double-blind study uses a format where neither the participants nor the researchers know who receives a specific treatment. This procedure is useful because it prevents bias from forming in the achievable results. It is used most often when there is a direct need to understand the benefits of demand characteristics against the placebo effect.
What is unique about the placebo effect is that a person receives an inert substance that has no medical benefit. Participants believe that it is real medicine because a double-blind study wouldn’t inform anyone who gets the actual drug being studied. Researchers don’t receive that information either.
That means the results between the two groups can get compared to see if the effects of the drug are better than that of the placebo. It can also be a way to check for the development of side effects.
Several double-blind study advantages and disadvantages are worth reviewing when considering this format.
List of the Advantages of a Double-Blind Study
1. Three groups are typically part of a double-blind study. The typical double-blind study project will involve three groups of participants. You’ll have the treatment group, the placebo, group, and a control group. The first two receive the item in question based on their name, although only the administrator knows for certain who is getting what since researchers are kept in the dark. The control group doesn’t receive anything because it serves as the baseline against which the other two sets of results get compared.
When people in the placebo group improve more than the control group, then it shows a belief that the product works. If the treatment group shows better results than those who receive a placebo, then you know the medication worked.
2. It avoids deception in the research process. One of the criticized shortcomings of this approach is the fact that no one knows if the items they take or use is real or a placebo. The solution is to create two placebo subgroups where one is told that it is real medicine and the other is told it isn’t, which means researchers would need to deceive one set of participants. That process would violate the principles of informed consent.
The double-blind structure avoids this issue by providing complete information to all participants without letting on who receives the actual product getting studied.
3. It reduces the issue of experimenter bias. Using double-blind procedures can minimize the potential effects of research bias when collecting data. This issue often occurs when experimenters knowingly or unknowingly influence the results during information gathering or product administration during the project. There can also be subjective feelings that drive specific decisions that would occur if less information was present in the study.
By limiting the potential influences that could impact the collected data, the final results produced by the research or experiment has more validity.
4. The results of a double-blind project can get duplicated. One of the reasons why a double-blind study is considered a best practice is because the results offer the potential for duplication. Other researchers can follow the same protocols for administering placebos and the item being examined against a control group. If the results are similar, then it adds even more validity to the ability of a product or service to provide benefits. When duplication doesn’t happen, then the information from both studies can get compared to see what may have created a divergence in the data.
5. Double-blind assignment factors are randomized. No one knows who is going to be part of what group at the beginning of a double-blind study. The only participant group that knows they aren’t part of the placebo or target group are those who provide the control baselines. When looking at an intervention-based process, the fact that random assignment occurs for willing participants works to reduce the influence of confounding variables in the material.
6. High levels of control are part of the research process. The context of a double-blind research study allows administrators to manipulate variables so that the setting allows for direct observation. Control factors that could influence the environment can get added or removed to assist with the limitation of outside factors that would potentially change the data. This process allows for an accurate analysis of the collected data to ensure the authenticity of the results gets verified.
7. It is a process that’s usable in multiple industries. The double-blind study might be used primarily by the pharmaceutical industry because it can look directly at the impact of medication, but any field can use the processes to determine the validity of an idea. Agriculture, biology, chemistry, engineering, and social sciences all use these structures as a way to provide validation for a theory or idea.
List of the Disadvantages of a Double-Blind Study
1. It doesn’t reflect real-life circumstances. When a patient receives a pill after going to the doctor, they are told that the product is actual medicine intended to provide specific results. When participants receive something in a double-blind placebo study, then each person gets told explicitly that the item in question might be real medicine or a placebo. That leads to a different set of expectations that can influence the results of the work in adverse ways.
These artificial environments can cause an over-manipulation of the variables to produce circumstances that fall outside of the study’s parameters. When situations don’t feel realistic to a participant, then the quality of the data decreases exponentially.
2. Active placebos can interfere with the results. Double-blind studies respond to the objections of researchers unintentionally when communicating information about the results of a pill being authentic or a placebo. Objections to the pill offering this information don’t exist with this structure. Although both items look identical, the real medication provides biological effects. Even if the results aren’t measurable, the individuals can feel the impact of the medicine on their bodies.
This outcome may cause them to conclude that they are in the treatment group. That means some participants have a higher positive expectancy than those who don’t feel those effects. It is a disadvantage that can lead to a misinterpretation of the results being experienced in real-time.
3. It is not always possible to complete a double-blind study. There are times when a double-blind study is not possible. Any experiments that look at types of psychotherapy don’t benefit as an example because it would be impossible to keep participants in the dark about who receives treatment and who didn’t get the stated therapy. It only works when there is a way to provide two identical processes without clear communication about who receives the authentic item and who receives the placebo.
4. We do not fully understand the strength of the placebo effect. Research published by Science Translational Medicine in 2014 found that the simple act of taking a pill can establish a placebo effect for people. A migraine was being tested in this study. The control group took nothing, while the placebo group took a medication clearly labeled as “placebo.” Then one group took a migraine drug labeled with its name. Those who took the placebo had results that were 50% effective when reducing pain during a migraine effect.
The placebo effect can stimulate the brain into believing that the body is being healed, creating a natural mechanism that encourages better health. The presence of this effect doesn’t indicate the success or failure of a medication or another process in a double-blind study. It may be an indication that the group receiving the placebo has a powerful internal mechanism that provides self-healing.
5. Some people can have a negative response to a placebo. There can be times when an individual doesn’t have a response to the placebo at all. When that outcome occurs, then the effects of a process or medication can receive a direct comparison to see if the real product is useful. Some people can have an adverse reaction to the placebo, even producing unwanted side effects as if they were taking a real medication. It all depends on how each person feels.
A study involving people with asthma showed that using a placebo inhaler caused patients to do no better on breathing tests than sitting and doing nothing. When researchers asked how they felt about using the product, they reported that the placebo was just as effective as the regular medicine they used.
6. Randomization must use a structured process to be useful. The most common example of using randomization when assigning people to a group in a double-blind study is to flip a coin. It is an action that’s random and cannot be predicted, which means it is likely to be a 50/50 scenario over time as it gets tossed frequently. Assigning people who come to a specific location based on a day of the week can influence the results of the study unintentionally because there are other dynamics that control the behavior. That bias would be in the data without anyone recognizing its presence since it was placed there in the initial design.
7. Most double-blind studies are too small to provide a representative sample. Winchester Hospital, which is a division of Beth Israel Lahey Health in Massachusetts, says that a good double-blind study should enroll at least 100 individuals, “preferably as many as 300.” Effective treatments can prove themselves in small trials, but research requires more people to establish patterns so that results can be verified. Even when you have hundreds, or sometimes thousands, of participants in this work, the results might not extrapolate to the general population.
There were more than 4,100 trials in progress for pain treatments in 2011, but the only new approvals given were for formulations or updated dosages for existing medications. Even when drugs get into the third phase of testing, the product only has a 60% chance to continue moving forward. Divergent results often create failure.
8. It doesn’t work well for functional disorders. The highest response rates for a placebo occur when researchers are looking into functional disorders like Irritable Bowel Syndrome. It also happens when there are imprecise endpoint measurements, as with Crohn’s disease. People who have other immune-response conditions like rheumatoid arthritis. The FDA even notes that the placebo response is steadily growing in the general population.
This disadvantage creates another limitation where the structure of a double-blind study may not provide useful information.
9. Double-blind studies are an expensive effort to pursue. A double-blind study takes several months to complete so that researchers can look at each possible variable. It may be necessary to complete several efforts using different groups to collect enough data. When corporations look at the cost of these efforts, it can be an expense that reaches several million dollars before its completion. Government studies can quickly reach $1 billion or more, depending on the extent of the work and the industry or product under consideration.
When the Tufts Center for the Study of Drug Development looked at the cost of creating and bringing a new drug to the market, the expense was pegged at $2.6 billion. That’s why new prescription medicines are so expensive. Even the clinical trials for FDA approval have an average cost of $19 million.
Double-blind placebo studies are often called the gold standard for testing medications. This description is at its most powerful when studying new psychiatric medications since the placebo effect is a psychological benefit. It is a process that improves on the experiments that compare the response of someone taking a pill with those who do not.
Since no one knows who is getting what in a double-blind study, the danger of a researcher accidentally communicating non-verbally about the expectation of an item to work or not gets eliminated.
When reviewing these double-blind study advantages and disadvantages, the benefits that come from this process can only be achieved when structures that counter the potential negatives are in place. It gives us a baseline from which to work, but there are no guarantees that results are achievable.
Double-Blinded Study
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Double-blind study ; Double-masked studies
Blinded studies are part of a scientific method to prevent research outcomes from being influenced by various biases such as patient expectations (placebo effect) and experimenter expectancy (observer bias). The term blind is a figurative extension of the literal idea of blindfolding someone. The opposite of a blinded trial is an open trial. An open trial or open-label trial is a clinical trial in which both the researchers and participants know which treatment is being administered. There can be varying degrees of blinding such as single-blind, double-blind, triple-blind, etc. Double-blinded study is a term used to described a study in which both the investigator or the participant are blind to (unaware of) the nature of the treatment the participant is receiving. In a double-blind experiment, neither the individuals nor the researchers know who belongs to the control group and the experimental group. Double-blind trials...
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Ashwini Padhi
Hertfordshire Partnership NHS Foundation, Community Mental Health Team, Edinburgh House, 82-90 London Road, AL1 1NG, St. Albans, Hertfordshire, UK
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Double Blind Study – Blinded Experiments
In science and medicine, a blind study or blind experiment is one in which information about the study is withheld from the participants until the experiment ends. The purpose of blinding an experiment is reducing bias, which is a type of error . Sometimes blinding is impractical or unethical, but in many experiments it improves the validity of results. Here is a look at the types of blinding and potentials problems that arise.
Single Blind, Double Blind, and Triple Blind Studies
The three types of blinding are single blinding, double blinding, and triple blinding:
Single Blind Study
In a single blind study , the researchers and analysis team know who gets a treatment, but the experimental subjects do not. In other words, the people performing the study know what the independent variable is and how it is being tested. The subjects are unaware whether they are receiving a placebo or a treatment. They may even be unaware what, exactly, is being studied.
Example: Violin Study
For example, consider an experiment that tests whether or not violinists can tell the difference a Stradivarius violin (generally regarded as superior) and a modern violin. The researchers know the type of violin they hand to a violinist, but the musician does not (is blind). In case you’re curious, in an actual experiment performed by Claudia Fritz and Joseph Curtin, it turned out violinists actually can’t tell the instruments apart.
Double Blind Study
In a double blind study, neither the researchers nor subjects know which group receives a treatment and which gets a placebo .
Example: Drug Trial
Many drug trials are double-blinded, where neither the doctor nor patient knows whether the drug or a placebo is administered. So, who gets the drug or the placebo is randomly assigned (without the doctor knowing who gets what). The inactive ingredients, color, and size of a pill (for example) are the same whether it is the treatment or placebo.
Triple Blind Study
A triple blind study includes an additional level of blinding. So, the data analysis team or the group overseeing an experiment is blind, in addition to the researchers and subjects.
Example: Vaccine Study
Triple blind studies are common as part of the vaccine approval process. Here, the people who analyze vaccine effectiveness collate data from many test sites and are unaware of which group a participant belongs to.
Some guidelines advocate for removing terms like “single blind” and “double blind” because they do not inherently describe which party is blinded. For example, a double blind study could mean the subjects and scientists are blind or it could mean the subjects and assessors are blind. When you describe blinding in an experiment, report who is blinded and what information is concealed.
The point of blinding is minimizing bias. Subjects have expectations if they know they receive a placebo versus a treatment. And, researchers have expectations regarding the expected outcome. For example, confirmation bias occurs when an investigator favors outcomes that support pre-existing research or the scientist’s own beliefs.
Unblinding is when masked information becomes available. In experiments with humans, intentional unblinding after a study concludes is typical. This way, a subject knows whether or not they received a treatment or placebo. Unblinding after a study concludes does not introduce bias because the data has already been collected and analyzed.
However, premature unblinding also occurs. For example, a doctor reviewing bloodwork often figures out who is getting a treatment and who is getting a placebo. Similarly, patients feeling an effect from a pill or injection suspect they are in the treatment group. One safeguard against this is an active placebo. An active placebo causes side effects, so it’s harder to tell treatment and placebo groups apart just based on how a patient feels.
Although premature unblinding affects the outcome of the results, it isn’t usually reported. This is a problem because unintentional unblinding favors false positives, at least in medicine. For example, if subjects believe they are receiving treatment, they often feel better even if a therapy isn’t effective. Premature unblinding is one of the issues at the heart of the debate about whether or not antidepressants are effective. But, it applies to all blind studies.
Uses of Blind Studies
Of course, blind studies are valuable in medicine and scientific research. But, they also have other applications.
For example, in a police lineup, having an officer familiar with the suspects can influence a witness’s selection. A better option is a blind procedure, using an office who does not know a suspect’s identity. Product developers routinely use blind studies for determining consumer preference. Orchestras use blind judging for auditions. Some employers and educational institutions use blind data for application selection.
- Bello, Segun; Moustgaard, Helene; Hróbjartsson, Asbjørn (October 2014). “The risk of unblinding was infrequently and incompletely reported in 300 randomized clinical trial publications”. Journal of Clinical Epidemiology . 67 (10): 1059–1069. doi: 10.1016/j.jclinepi.2014.05.007
- Daston, L. (2005). “Scientific Error and the Ethos of Belief”. Social Research . 72 (1): 18. doi: 10.1353/sor.2005.0016
- MacCoun, Robert; Perlmutter, Saul (2015). “Blind analysis: Hide results to seek the truth”. Nature . 526 (7572): 187–189. doi: 10.1038/526187a
- Moncrieff, Joanna; Wessely, Simon; Hardy, Rebecca (2018). “Meta-analysis of trials comparing antidepressants with active placebos”. British Journal of Psychiatry . 172 (3): 227–231. doi: 10.1192/bjp.172.3.227
- Schulz, Kenneth F.; Grimes, David A. (2002). “Blinding in randomised trials: hiding who got what”. Lancet . 359 (9307): 696–700. doi: 10.1016/S0140-6736(02)07816-9
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Double-Blind Studies in Research
Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."
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.
A double-blind study is one in which neither the participants nor the experimenters know who is receiving a particular treatment. This procedure is utilized to prevent bias in research results. Double-blind studies are particularly useful for preventing bias due to demand characteristics or the placebo effect .
For example, let's imagine that researchers are investigating the effects of a new drug. In a double-blind study, the researchers who interact with the participants would not know who was receiving the actual drug and who was receiving a placebo.
A Closer Look at Double-Blind Studies
Let’s take a closer look at what we mean by a double-blind study and how this type of procedure works. As mentioned previously, double-blind indicates that the participants and the experimenters are unaware of who is receiving the real treatment. What exactly do we mean by ‘treatment'? In a psychology experiment, the treatment is the level of the independent variable that the experimenters are manipulating.
This can be contrasted with a single-blind study in which the experimenters are aware of which participants are receiving the treatment while the participants remain unaware.
In such studies, researchers may use what is known as a placebo. A placebo is an inert substance, such as a sugar pill, that has no effect on the individual taking it. The placebo pill is given to participants who are randomly assigned to the control group. A control group is a subset of participants who are not exposed to any levels of the independent variable . This group serves as a baseline to determine if exposure to the independent variable had any significant effects.
Those randomly assigned to the experimental group are given the treatment in question. Data collected from both groups are then compared to determine if the treatment had some impact on the dependent variable .
All participants in the study will take a pill, but only some of them will receive the real drug under investigation. The rest of the subjects will receive an inactive placebo. With a double-blind study, the participants and the experimenters have no idea who is receiving the real drug and who is receiving the sugar pill.
Double-blind experiments are simply not possible in some scenarios. For example, in an experiment looking at which type of psychotherapy is the most effective, it would be impossible to keep participants in the dark about whether or not they actually received therapy.
Reasons to Use a Double-Blind Study
So why would researchers opt for such a procedure? There are a couple of important reasons.
- First, since the participants do not know which group they are in, their beliefs about the treatment are less likely to influence the outcome.
- Second, since researchers are unaware of which subjects are receiving the real treatment, they are less likely to accidentally reveal subtle clues that might influence the outcome of the research.
The double-blind procedure helps minimize the possible effects of experimenter bias. Such biases often involve the researchers unknowingly influencing the results during the administration or data collection stages of the experiment. Researchers sometimes have subjective feelings and biases that might have an influence on how the subjects respond or how the data is collected.
In one research article, randomized double-blind placebo studies were identified as the "gold standard" when it comes to intervention-based studies. One of the reasons for this is the fact that random assignment reduces the influence of confounding variables.
Imagine that researchers want to determine if consuming energy bars before a demanding athletic event leads to an improvement in performance. The researchers might begin by forming a pool of participants that are fairly equivalent regarding athletic ability. Some participants are randomly assigned to a control group while others are randomly assigned to the experimental group.
Participants are then be asked to eat an energy bar. All of the bars are packaged the same, but some are sports bars while others are simply bar-shaped brownies. The real energy bars contain high levels of protein and vitamins, while the placebo bars do not.
Because this is a double-blind study, neither the participants nor the experimenters know who is consuming the real energy bars and who is consuming the placebo bars.
The participants then complete a predetermined athletic task, and researchers collect data performance. Once all the data has been obtained, researchers can then compare the results of each group and determine if the independent variable had any impact on the dependent variable.
A Word From Verywell
A double-blind study can be a useful research tool in psychology and other scientific areas. By keeping both the experimenters and the participants blind, bias is less likely to influence the results of the experiment.
A double-blind experiment can be set up when the lead experimenter sets up the study but then has a colleague (such as a graduate student) collect the data from participants. The type of study that researchers decide to use, however, may depend upon a variety of factors, including characteristics of the situation, the participants, and the nature of the hypothesis under examination.
National Institutes of Health. FAQs About Clinical Studies .
Misra S. Randomized double blind placebo control studies, the "Gold Standard" in intervention based studies . Indian J Sex Transm Dis AIDS . 2012;33(2):131-4. doi:10.4103/2589-0557.102130
Goodwin, CJ. Research In Psychology: Methods and Design . New York: John Wiley & Sons; 2010.
Kalat, JW. Introduction to Psychology . Boston, MA: Cengage Learning; 2017.
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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Double-blind studies are considered the gold standard in research because they help to control for experimental biases arising from the subjects’ expectations and experimenter biases that emerge when the researchers unknowingly influence how the subjects respond or how the data is collected. Using the double-blind method improves the ...
The double-blind structure avoids this issue by providing complete information to all participants without letting on who receives the actual product getting studied. 3. It reduces the issue of experimenter bias. Using double-blind procedures can minimize the potential effects of research bias when collecting data.
There can be varying degrees of blinding such as single-blind, double-blind, triple-blind, etc. Double-blinded study is a term used to described a study in which both the investigator or the participant are blind to (unaware of) the nature of the treatment the participant is receiving. In a double-blind experiment, neither the individuals nor ...
A blind — or blinded — study is an experiment in which information about the test is masked (kept) from the participant, to reduce or eliminate bias, until after a trial outcome is known. It is understood that bias may be intentional or unconscious, thus no dishonesty is implied by blinding. If both tester and subject are blinded, the trial ...
In an experiment, you manipulate the independent variable and measure the outcome in the dependent variable. For example, in an experiment about the effect of nutrients on crop growth: The independent variable is the amount of nutrients added to the crop field. The dependent variable is the biomass of the crops at harvest time.
In a blind or blinded experiment, information which may influence the participants of the experiment is withheld until after the experiment is complete. Good blinding can reduce or eliminate experimental biases that arise from a participants' expectations, observer's effect on the participants, observer bias, confirmation bias, and other sources.
A double-blind study withholds each subject’s group assignment from both the participant and the researcher performing the experiment. If participants know which group they are assigned to, there is a risk that they might change their behavior in a way that would influence the results. This can lead to a few types of research bias ...
A blind or blinded experiment is a test or experiment in where the experimenter does not know which treatment is given to a subject. The idea is to avoid bias which the experimenter might otherwise introduce. [1] If both tester and subject are blinded, the trial is a double-blind trial. Suppose consumers are asked to compare the tastes of ...
In case you’re curious, in an actual experiment performed by Claudia Fritz and Joseph Curtin, it turned out violinists actually can’t tell the instruments apart. Double Blind Study. In a double blind study, neither the researchers nor subjects know which group receives a treatment and which gets a placebo. Example: Drug Trial
A double-blind experiment can be set up when the lead experimenter sets up the study but then has a colleague (such as a graduate student) collect the data from participants. The type of study that researchers decide to use, however, may depend upon a variety of factors, including characteristics of the situation, the participants, and the ...