Positive reinforcement is an operant conditioning technique in which a desirable stimulus is added after a behavior, making that behavior more likely to happen again. B. F. Skinner developed the concept, showing that behavior is shaped by its consequences rather than by conscious intention.
Key Takeaways
- Origins in Skinner’s Work: Positive reinforcement comes from B. F. Skinner’s research in the 1930s and 1940s into how consequences change behavior, a theory known as operant conditioning.
- Adding a Desirable Stimulus: Positive reinforcement means introducing a pleasant stimulus after a behavior to encourage that behavior or build a new one.
- Four Types of Reinforcer: Reinforcers can be natural, social, tangible, or token-based, and reinforcers can also be classed as primary, secondary, or generalized.
- Schedules Shape Durability: Reinforcement can be delivered continuously or on a fixed or variable schedule, based on responses or time. The schedule used affects how quickly a behavior is learned and how long it lasts.
- Wide-Ranging Effects: Positive reinforcement shapes behavior from the psychology lab to the classroom, the workplace, and social media use.
How Does It Work?
Positive reinforcement is a basic principle of Skinner’s operant conditioning. It refers to the introduction of a desirable or pleasant stimulus, such as a reward, after a behavior.
This desirable stimulus is intended to reinforce the behavior, making it more likely that the behavior will occur in the future. This could be used to teach new behaviors or strengthen existing ones.
Operant Conditioning is the theory that underlies Skinner’s positive reinforcement technique. In essence, the idea is that one can modify behavior by controlling the consequences that follow it.
Skinner argued that learning is an active process. When humans and animals act on and in their environment, consequences follow these behaviors.
If the consequences are pleasant, they repeat the behavior, but if the consequences are unpleasant, they do not repeat the behavior.
Skinner believed that internal thoughts and motivations were not necessary to explain behavior. Instead, he believed that this explanation could come from external and observable causes (Staddon & Cerutti, 2003).
If a behavior is followed by a positive consequence, or reinforcement, that behavior is more likely to happen again. If it is followed by a negative consequence, or punishment, the behavior is less likely to happen again (Staddon & Cerutti, 2003).
Reinforcement vs. Reward: Why They Aren’t the Same
Positive reinforcement is often described as “rewarding good behavior with something pleasant.” That description is a useful starting point, but it is not quite accurate, and the difference matters.
Skinner deliberately avoided defining a reinforcer by how pleasant it feels. A stimulus counts as a positive reinforcer only if adding it after a behavior actually raises how often that behavior happens again (Skinner, 1938). Whether it looks rewarding is irrelevant. The behavior itself is the test.
This functional definition explains two things a reward-based description cannot.
- A reward is not automatically a reinforcer. A teacher may hand out stickers believing they reward good work, but if on-task behavior doesn’t increase, the sticker isn’t a reinforcer for that child.
- Reinforcers are personal. They need not feel pleasant: a child who craves attention may find a teacher’s telling-off reinforcing, because it delivers attention. The disruptive behavior then increases, even though the “consequence” was meant to be unpleasant.
What reinforces someone depends on that person’s history and current state, not on how nice the stimulus looks from the outside. This is why practitioners test whether something actually works as a reinforcer instead of assuming anything pleasant will do.
Types of Positive Reinforcement
Reinforcers can also be classified by how they gained their power. A primary reinforcer works without any prior learning because it meets a biological need, such as food, water, or warmth.
A secondary (conditioned) reinforcer starts out neutral. It gains its power by being paired with an existing reinforcer, the way praise or a grade comes to matter through years of good associations.
A generalized reinforcer is a conditioned reinforcer, such as money or tokens, that has been paired with many different backup reinforcers. Because it is not tied to one need, it keeps working almost regardless of what a person currently wants (Skinner, 1953; Ayllon & Azrin, 1968).
Applied settings also use a more practical four-way scheme. There are four types of positive reinforcers, and each may work better or worse depending on the individual and the situation (Kamery, 2004).
- Natural reinforcers are those that occur directly as a result of the behavior. For example, persistent research and effort on a work campaign may lead to raises and promotions.
- Social reinforcers involve expressing approval for desirable behavior. For example, a teacher or parent may praise a child, or an employer may call an employee’s work excellent (Kamery, 2004).
- Tangible reinforcers involve actual physical rewards for desirable behavior. These could include candy, treats, toys, money, or some other desirable object. While these rewards can be powerful, their overuse can disincentivize the behavior when they are not used (Kamery, 2004).
- Token reinforcers are points or tokens awarded for performing certain actions. These can then be exchanged for something of value. For example, a teacher may give a student points for completing assignments on time, which can be exchanged for a prize (Kamery, 2004).
The Premack Principle
The Premack principle solves a practical problem: how to know, in advance, what will reinforce a particular person.
Psychologist David Premack found that a highly probable activity can reinforce a less probable one, and that this relationship works in either direction.
It remains one of the most useful ideas in applied behavior analysis.
Aim: Premack (1959) aimed to find a general rule that could predict, before any reward was tested, which activities would reinforce which.
Method: Premack measured how much time children spent on different activities when they were free to choose. He then made access to one activity depend on first completing another, requiring a child to finish a less-preferred activity before reaching a more-preferred one.
He ran a parallel study in animals, using drinking and wheel-running.
Results: The more probable activity reinforced the less probable one. Children who preferred sweets played more pinball when playing earned them sweets. Children who preferred pinball ate more when eating earned a turn on the machine.
Premack (1962) later showed the relationship reverses. Depriving rats of a chance to run made running reinforce drinking, even though drinking is normally the more probable activity.
Conclusion: Whichever response is momentarily more probable will reinforce a less probable one. Reinforcement is therefore not a fixed property of any particular stimulus.
This principle is the empirical basis of “Grandma’s rule”: first eat your vegetables, then you may have dessert. It explains why a preferred activity, such as screen time, can be used to reinforce a non-preferred one, such as homework or tidying a bedroom.
A common parenting mistake reverses this logic: offering the reward before the behavior happens turns reinforcement into a bribe.
Evaluation: The Premack principle is genuinely predictive and widely used, but later work refined it. Timberlake and Allison (1974) proposed the response-deprivation hypothesis: what matters is not relative probability, but whether a schedule restricts a response below its normal baseline.
Under this account, even a lower-probability activity can reinforce a higher-probability one, provided access to it has been restricted.
Measuring baseline probabilities is not always practical outside the laboratory, and, like Skinner’s functional definition, the Premack principle describes what will reinforce without explaining why.
Examples
Animal training
A classic use of positive reinforcement is in animal training and behavior. The general adage of animal training is to reward positive behaviors and ignore undesirable ones.
The use of positive reinforcement as a way of training animals dates to early psychological research, in particular, the works of B. F. Skinner.
Skinner devised a method of rewarding positive behavior called the Skinner box (Dezfouli & Balleine, 2012).
Essentially, this skinner box contains a lever or button that delivers a reward, such as food or water, when pressed correctly. A tracker then records each response.
Skinner did not wait for the target behavior to happen by chance. He used shaping, reinforcing small steps that increasingly resembled the goal behavior and raising the bar as the animal improved.
A pigeon might first be reinforced for turning toward the lever, then for approaching it, then only for pressing it. This same method, called marker or clicker training, now underlies much of modern guide-dog and police-dog training (Skinner, 1951; Skinner, 1953).
In this way, animals could learn to perform a task in a particular way to receive a reward. This is an example of tangible reinforcement (Dezfouli & Balleine, 2012).
In the workplace
Positive reinforcement can also be used in the workplace to encourage desirable behaviors. For example, an employer may give employees a bonus for meeting or exceeding sales targets.
This type of positive reinforcement is often called a “performance-related pay” or “pay for performance” system.
In another example, an employee who always arrives at work on time may receive a monthly gift card that reinforces timeliness.
Alternatively, an employer might give employees extra paid vacation days as a way of reinforcing good attendance (Ackerman, 2022).
Positive reinforcement is not the same as bribery. A bribe is offered before the behavior, to induce it; reinforcement is delivered after the behavior has already happened.
For example, an employee who already arrives at work on time every day cannot be bribed to keep doing so. That employee is only eligible for positive reinforcement, delivered as a reward after the fact (Ackerman, 2022).
Social Media
Social media use has skyrocketed in recent years, and positive reinforcement may be one of the reasons why. Platforms such as Facebook, Twitter, and Instagram all make use of likes, followers, and other forms of positive reinforcement to keep users engaged.
For example, a person who posts a photo on Instagram is likely to receive likes from their friends and followers. This, in turn, encourages that person to continue posting photos, as they have been positively reinforced for doing so.
Similarly, frequent tweeters who receive lots of replies and retweets tend to keep tweeting, reinforced by that engagement.
Not all social media platforms use positive reinforcement the same way. Instagram and Facebook use a likes system to reward users for posting.
However, Snapchat does not use likes or followers as a form of positive reinforcement. Instead, the app uses streaks: the number of consecutive days that two people have Snapchatted each other.
This encourages users to Snapchat each other frequently to maintain their streaks (Ackerman, 2022).
Schedules of Positive Reinforcement
An important aspect of Skinner’s research examines the
effectiveness of different patterns and frequencies of reward.
A positive reinforcement schedule is one that defines how someone looking to use positive reinforcement encourages behavior. There are five different positive reinforcement schedules (Ferster & Skinner, 1957).
- A continuous schedule, where the behavior is reinforced after each and every occurrence. This schedule, unfortunately, is difficult to maintain, as those enforcing behavior are rarely able to be present for every occurrence of it.
- A fixed ratio reinforcement schedule, where the behavior is reinforced after a specific number of occurrences. For example, a pigeon may receive a pellet after pecking three times.
- A fixed interval, where the behavior is reinforced after a specific amount of time.
- A variable ratio, where the behavior is reinforced after a variable number of occurrences. For example, a behavior may be reinforced after one occurrence, then after another three, then another two.
- A variable interval, where the behavior is reinforced after a variable amount of time. For example, after one minute, then 30 minutes, then 10 minutes.
These schedules depend on context. For example, an adult looking for a promotion at work may receive one annually, as long-term schedules tend to be effective for adults.
Meanwhile, a fixed ratio schedule may be effective for training a dog once it understands what behaviors are desirable.
Token Economies: The Ayllon and Azrin Study
A token economy rewards behavior with tokens, such as plastic chips or points, that can later be exchanged for real rewards. Because tokens can be handed over instantly, they solve the timing problem that a slower, real reward cannot.
Aim: Ayllon and Azrin (1968) tested whether systematic positive reinforcement could increase self-care and social behavior in psychiatric patients for whom standard treatment had long failed.
Method: On a hospital ward, women with long-standing schizophrenia earned tokens for washing, dressing, and making their beds. Tokens could be exchanged for privacy, cinema trips, or preferred food.
The researchers used a reversal design: tokens were first given only for the target behaviors, then given regardless of behavior, then made contingent again.
Results: Target behaviors rose when tokens were contingent, fell when tokens were given regardless of behavior, and recovered once the contingency returned.
Conclusion: Behavior tracked the contingency, not merely the presence of tokens, showing genuine reinforcement rather than a general lift in mood. Even severely impaired adults responded strongly to well-designed token contingencies.
Evaluation: The reversal design gives the study strong internal validity, and the model has since been used in classrooms, prisons, and developmental services. Token economies do face two lasting problems: gains can fade once the program ends, and controlling access to ordinary comforts raises ethical questions.
Positive reinforcement is not the opposite of negative reinforcement
Both positive and negative reinforcement increases the likelihood of a behavior being repeated.
The only difference is the type of consequence used to achieve this goal.
Positive reinforcement adds a desirable consequence to increase the likelihood of a behavior being repeated. In contrast, negative reinforcement removes an unpleasant condition after the behavior occurs, which also increases its future occurrence (Dozier, Foley, Goddard, & Jess, 2019).
For example, a smoker may feel relief after having a cigarette, making them more likely to smoke again to get that relief (Cherry, 2018).
Positive reinforcement works the other way: a pleasant stimulus added after a behavior increases the chance the behavior repeats. If the same smoker was given a candy bar after smoking, they would be more likely to smoke again to get the candy bar.
A popular claim holds that positive reinforcement works faster while negative reinforcement produces longer-lasting change.
This idea is not well supported. What actually governs how long a behavior lasts is the schedule of reinforcement, not whether it is positive or negative (Ferster & Skinner, 1957).
Not all reinforcers work equally well for everyone. Some people respond strongly to one type and barely at all to another. Even a single behavior may respond to both positive and negative reinforcement, depending on the person.
The right choice between positive and negative reinforcement depends on the behavior, the individual, and the desired outcome.
In the classroom
Positive reinforcement is popular because it teaches effectively in the moment, and the behavior often continues even after the reinforcement ends.
One study on positive reinforcement in the classroom found that it significantly improved students’ behavior and social skills after the reinforcer was removed (Diedrich, 2010).
For example, a teacher may give gold stars to students who turn in their work on time. This, in turn, encourages students to return to work in a consistent manner.
Others may be generous with praise or high-fives or hand out candy or small toys when students behave appropriately.
This positive reinforcement can be even more effective in the classroom when combined with peer pressure.
Often, children want to do the right things and may become embarrassed if caught doing something wrong in front of their friends and peers.
Thus, when there is a classroom of students watching, children become more receptive than usual to a reward (Ackerman, 2022).
Effectiveness
Numerous studies have shown that positive reinforcement does, indeed, work. The technique of positive reinforcement is also widely practiced in both research and everyday life.
For example, dog trainers often provide treats to their dogs as a way of encouraging the behaviors they want to see.
Similarly, parents and teachers have found that positive reinforcement can be extremely strong as a method of training children to behave appropriately (Ackerman, 2022).
Nonetheless, there are several different factors that control the likelihood that positive reinforcement would make it more likely that a behavior will be repeated.
Scholars widely agree that the most important factor is speed: deliver the desirable stimulus as soon as possible after the desired behavior occurs.
The longer the gap between a behavior and its reward, the weaker their connection becomes. A longer gap also gives another, unrelated behavior more chance to occur and get reinforced instead.
Positive reinforcement is also simpler than other training methods, since it never requires taking away rewards or introducing negative consequences for unwanted behavior.
This may improve the learner’s morale and motivation (Kamery, 2004). Scholars generally agree it is easier to encourage behaviors than to discourage them, making reinforcement a more powerful tool than punishment.
Finally, learning accompanied by positive feelings and associations is more likely to be remembered beyond the end of the reinforcement schedule (Ackerman, 2022).
Critical Evaluation of Positive Reinforcement
Positive reinforcement is powerful and well replicated, but it has real limits. The strengths below explain why it is so widely used, and the limitations explain when it can fail or even backfire.
Strengths
- Objective and testable. A reinforcer is defined by its effect on behavior, not by whether it seems pleasant, so positive reinforcement can be tested, not assumed (Skinner, 1938).
- Predictive and practical. The Premack principle lets practitioners predict what will reinforce someone in advance. The underlying technology, including shaping and token economies, is backed by meta-analytic evidence (Premack, 1959; Kim et al., 2022).
- Humane relative to aversive control. It strengthens behavior without the fear or aggression that punishment can produce, which is why it is the first-line strategy in education and animal training.
These strengths are practical, not just theoretical.
Because a reinforcer is defined by its measured effect rather than by how pleasant it looks, practitioners can directly test a candidate reward instead of guessing whether it will work, which limits wasted effort in classrooms and clinics.
The toolkit built on this logic, including shaping, token economies, and contingency management, now rests on meta-analytic evidence rather than isolated demonstrations (Kim et al., 2022), and it transfers across ages and settings.
Limitations
- Reward can backfire. Rewarding an already-enjoyable activity can undermine later interest in it, though the effect is bounded, not universal (Lepper et al., 1973; Deci et al., 1999).
- Fragile transfer. Gains often fail to generalize beyond the program that produced them and can fade once reinforcement stops (Ayllon & Azrin, 1968).
- Reinforcers are personal and short-lived. What reinforces someone depends on their individual history and current state, so no single reward works for everyone or forever.
- Under-explains human cognition. In humans, psychologist Albert Bandura argued that reinforcement works partly through conscious expectation and observing others rewarded, not just automatic strengthening (Bandura, 1977).
None of these limitations is fatal, but each raises the cost of doing positive reinforcement well. The backfire risk is largely confined to salient, expected rewards for tasks people already enjoy.
It is mostly spared, or even reversed, by praise and by rewards tied to meeting a standard rather than to mere participation (Cameron et al., 2001).
Fragile transfer is addressed by deliberately programming generalization: thinning the schedule, recruiting reinforcers already present in daily life, and practicing across varied settings rather than depending on one artificial contingency.
Because reinforcers are personal and can stop working once someone is satiated on them, well-run programs also need ongoing reassessment and rotation of what is actually being offered.
The Overjustification Effect
The most serious challenge to positive reinforcement is that rewarding an activity someone already enjoys can reduce later interest in it, an effect called overjustification.
Aim: Lepper, Greene, and Nisbett (1973) tested whether promising children an extrinsic reward for an activity they already enjoyed would undermine their later intrinsic interest.
Method: Nursery-school children who enjoyed drawing were split into three groups. One group was told in advance they would receive a reward for drawing. A second group received the same reward as a surprise afterward, and a third group, the control, received no reward.
Two weeks later, researchers secretly timed how long each child chose to draw during ordinary free play, without the child knowing they were being observed.
Results: Children who expected a reward later spent about half as much free-choice time drawing as children in the other two groups. Their drawings were also rated lower in quality. The unexpected-reward group did not differ from the control.
Conclusion: Promising a salient, expected reward for an already-interesting activity can undermine intrinsic motivation to do it. It was the expectation of the reward that caused the harm, not the reward itself, since the surprise reward caused no damage.
Evaluation: This is a robust, much-replicated finding, and it feeds directly into self-determination theory’s account of how controlling rewards can undermine autonomy. Its scope, however, is genuinely contested.
A meta-analysis of 128 experiments found tangible, expected rewards reduce free-choice intrinsic motivation, while verbal praise enhances it (Deci et al., 1999). A later re-analysis argued the effect is limited, not pervasive (Cameron et al., 2001). Rewards for meeting a high standard can raise interest rather than harm it.
Read together, the safest approach targets specific behavior or quality, such as behavior-specific praise, and is used carefully on tasks people already enjoy.
Contemporary Research
Research on positive reinforcement has moved from single demonstrations toward large syntheses. Two recent meta-analyses stand out.
Token Economies Still Work, and the Details Matter
Aim: Kim, Fienup, Oh, and Wang (2022) set out to measure how well classroom token economies work and which design choices drive their success.
Method: Following PRISMA guidelines, they synthesized 24 token-economy studies from general- and special-education classrooms, kindergarten through fifth grade. They coded eight procedural components, such as the type of backup reward and how quickly tokens were earned.
Results: Token economies produced large effect sizes in both general- and special-education classrooms, showing it transfers beyond the specialist settings where first tested. Which specific components were used differed systematically between classroom types.
Conclusion: Contingent token reinforcement is an effective, generalizable classroom-management practice, and knowing which components matter gives teachers levers to fine-tune it. Its limits are a K-5 focus and an open question about whether gains last once the token system is withdrawn.
Teacher Praise Is Cheap, Evidence-Based, and Under-Used
Consistent with this, evidence on the cheapest form of positive reinforcement, teacher praise, keeps accumulating.
A meta-analysis of school-based coaching found that behavior-specific praise was among the practices teachers adopted most readily. Coaching reliably increased how often teachers used it and improved student outcomes (LaBrot et al., 2024).
Whether the reinforcer is a token or a specific word of praise, well-designed positive reinforcement produces reliable gains, and long-term maintenance remains the open frontier.
Further Information
References
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