Effects of a Token Economy on Exercise Intensity and Intrinsic Motivation – The Sport Journal


Creator: Andrew E. Alstot, Ph.D.

Division of Kinesiology, Azusa Pacific College, Azusa, CA

Andrew E. Alstot, Ph.D.
Division of Kinesiology
Azusa Pacific College
Bodily Handle: 701 E. Foothill Blvd.
Mailing Handle: PO Field 7000
Azusa, CA 91702-7000
(P) 626-815-6075
[email protected]

Andrew Alstot is an affiliate professor within the division of Kinesiology at Azusa Pacific College, primarily educating within the Graduate Bodily Schooling program. His analysis focus is on using the rules of utilized habits evaluation in bodily exercise settings to enhance train, ability, motivation, and social habits. His educating targets are to assist to develop high quality academics, coaches, directors, and different bodily exercise professionals to ship research-based bodily exercise instruction and administration.

Results of a Token Economic system on Train Depth and Intrinsic Motivation


Function – Token economies, programs that use a wide range of rewards to focus on habits, have been proven helpful in bettering a number of bodily activity-related behaviors. But, there’s conflicting analysis on rewards-based programs’ affect on intrinsic motivation. When utilizing rewards to enhance habits, it’s endorsed they be systematically withdrawn as time progresses. Nonetheless, the consequences of programs that withdraw rewards on train habits and intrinsic motivation is unknown. Subsequently, the aim of the research was to look at using a token economic system concentrating on train habits and its affect on intrinsic motivation.

Strategies – Contributors rode a stationary bike for a number of baseline periods the place no rewards had been administered; imply revolutions per minute (RPM) had been calculated for every session. Then, contributors had been offered performance-based rewards on certainly one of two schedules of reinforcement: (1) rewards had been offered persistently throughout all token periods or (2) rewards had been systematically withdrawn with every subsequent token session. Intrinsic motivation was measured earlier than the research and on the finish of the final token session.

Outcomes – Each rewards programs had been efficient in bettering train depth, with each teams exhibiting distinct enchancment in imply RPM throughout token periods. Additional, the system that withdrew rewards indicated no detriment to intrinsic motivation and for some, an enchancment.

Conclusions and Functions in Sport – Health professionals, coaches, and educators could possibly use extrinsic rewards to enhance train habits and, if carried out correctly, haven’t any unfavourable affect on their purchasers’, athletes’, and college students’ intrinsic motivation for participating in train.

Key phrases: habits evaluation, extrinsic rewards, bodily exercise, reinforcement

Results of a Token Economic system on Train Depth and Intrinsic Motivation

There are various views on using extrinsic rewards to extend bodily exercise habits. Many proponents argue that using tangible rewards could be a sensible device for bodily educators, coaches, and different bodily exercise professionals to make use of with their college students and athletes (22). Nonetheless, others view using rewards as a fast approach to undermine contributors’ intrinsic motivation for participating within the exercise for which they had been rewarded (20). Due to these divergent views, the present research sought to look at two alternative ways to implement a rewards program and their impact on train habits and intrinsic motivation for participating in bodily exercise.

Token Economies

Token reinforcement programs are grounded within the idea of Behaviorism (30, 32), which purports that human habits is especially influenced by environmental stimuli and a person’s interplay with these stimuli (9). Extra particularly, penalties to a person’s engagement in a habits (i.e., what occurs extrinsic to the individual instantly following the prevalence of the habits) has a selected and direct affect on the chance of that habits occurring once more sooner or later (22). When a consequence will increase the chance of a habits reoccurring, the method is known as reinforcement; conversely, when the other happens (i.e., a consequence decreases the chance of a habits returning), the method is known as punishment (9, 30, 32). Reinforcers and punishers could be almost any environmental stimulus, akin to tangible gadgets (e.g., meals, toys, cash, and so on.), entry to or avoidance of social consideration, entry to or avoidance of an exercise or state of affairs, bodily ache or pleasure, and others (9). If a instructor, coach, guardian, or different skilled can observe the setting and appropriately analyze how punishing and reinforcing penalties are performing upon a goal habits, he/she will then benefit from these discoveries and systematically manipulate the implications; then, corresponding habits change can happen (31). For the reason that idea was first launched to the bodily exercise realm by Siedentop and Rushall in 1972 (29), reinforcement-based methods have been proven helpful in rising or bettering a wide range of bodily exercise behaviors (4), together with expertise in tennis (8), basketball (17, 19), ballet (15), soccer (25), observe (28), and others.

One of many reinforcement-based programs derived from the speculation of Behaviorism is the token economic system; these programs usually include three fundamental elements: (a) identification of a habits focused for enchancment, (b) administration of tokens (i.e., tangible tokens, factors, stickers, or one thing related, which could be displayed for the participant) when the person correctly engages within the goal habits, and (c) the chance for the person to trade the earned tokens for a wide range of reinforcers (5). When a person engages within the goal habits, he/she is rewarded with a token. These tokens could be administered on varied schedules, akin to each prevalence of the habits, each different prevalence, when the person engages within the habits for a set period of time, or the schedule can fluctuate throughout time (1). These tokens usually have little or no inherent worth to the individual. Nonetheless, after a set period of time, the person ought to then be given the chance to trade the earned tokens for back-up reinforcers (i.e., gadgets which have significant worth to the individual, akin to a most well-liked meals merchandise, toy, entry to an exercise, social consideration, or cash) (1). This course of reinforces the goal habits, thereby rising the chance it’s going to happen once more sooner or later. Particularly, inside bodily exercise settings, token economies had been first launched by Rushall and Siedentop (26). Researchers have discovered token programs to be efficient in bettering train behaviors, akin to bounce rope repetitions (2), each day minutes of train (6), using an train bike (11-13), and mile stroll/run efficiency (33); motion ability behaviors, akin to overhand throw efficiency (3) and pole vaulting (7); and attentive behaviors throughout bodily exercise, akin to time on activity (21) and attentive and disruptive behaviors (24).

Intrinsic Motivation

In 2000, Ryan and Deci (27) distinguished between intrinsic and extrinsic motivation on this means: intrinsic motivation “…refers to doing one thing as a result of it’s inherently fascinating or fulfilling…” (p. 55) whereas extrinsic motivation “…refers to doing one thing as a result of it results in a separable end result” (p. 55). From this angle, intrinsic motivation is most well-liked over extrinsic for sustained engagement in desired habits. Due to this viewpoint, regardless of the reported successes of the token economic system and different extrinsic rewards-based programs in bodily exercise settings, there are a number of opponents of utilizing extrinsic rewards to vary habits. Kohn (20) argues that by “…dangling goodies in entrance of individuals…” (p. 69), one can truly undermine their intrinsic motivation for participating within the exercise for which they had been bolstered and subsequently, the person shall be much less within the exercise he/she was doing when rewarded. Supporting this concept, Deci et al. (10) carried out a meta-analysis inspecting how extrinsic rewards impacted intrinsic motivation; they included research throughout varied settings, behaviors, and ages and concluded that rewards, significantly when administered contingent upon assembly a selected efficiency criterion, tended to have a detrimental impact on contributors’ intrinsic motivation. Equally, Wiersma’s (34) meta-analysis discovered that using extrinsic rewards tended to undercut the contributors’ intrinsic motivation as effectively.

As mentioned earlier, there are quite a few behavioral advantages to receiving rewards. Nonetheless, the literature seems to assist the concept that utilizing tangible rewards could be detrimental to intrinsic motivation; this detriment would appear to undermine the added advantages of implementing a rewards-based system, akin to a token economic system. However, there are a number of students who maintain contrasting positions on this matter. Eisenberger and Cameron (14) carried out a meta-analysis which produced outcomes contradictory to Deci et al.’s (10) findings; that’s, usually, when rewards are administered contingent upon assembly a efficiency criterion, there isn’t any detrimental affect on one’s intrinsic motivation. In some instances, not solely is there a scarcity of impairment to motivation, however rewards can truly improve contributors’ intrinsic motivation for participating within the habits for which they had been bolstered, significantly if the rewards programs are individualized throughout contributors (23). When implementing a rewards program, it’s prompt that the speed of reinforcement not stay the identical all through the intervention; these implementing the system ought to scale back the quantity of rewards contributors obtain over time in order that the quantity of reinforcement contributors receive throughout coaching is lower than what they might obtain within the pure setting (22). Underneath these circumstances, versus offering many rewards with no discount in charge of reinforcement over time, it’s anticipated that utilizing extrinsic rewards wouldn’t essentially have a detrimental impact on intrinsic motivation, fairly intrinsic motivation will stay fixed or have the potential for rising whereas concurrently bettering the goal habits. Nonetheless, this speculation has not been examined with regard to bodily exercise habits. Subsequently, the principle goal of the research was to look at the consequences of a token economic system on train depth utilizing two schedules of reinforcement: (a) a schedule that reduces the quantity of reinforcement contributors obtain over time and (b) a schedule that retains the speed of reinforcement fixed all through the length of the intervention. Moreover, the present research sought to analyze if tangible rewards had been detrimental to intrinsic motivation like Deci et al. (10) prompt or if they might present some profit to contributors’ intrinsic motivation, much like Eisenberger and Cameron’s (14) findings. Consequently, the secondary goal of the present research was to look at the affect of extrinsic rewards on contributors’ intrinsic motivation for participating in bodily exercise.


Contributors and Setting

Contributors had been recruited through electronic mail. Ten volunteers (i.e., seven male, three feminine), ages 18 to 24, served as contributors. Upon approval from the college institutional overview board, knowledgeable consent was obtained from every participant. Previous to the graduation of the research, contributors had been additionally screened for accidents and well being dangers utilizing the Bodily Exercise Readiness Questionnaire (PAR-Q); every was deemed wholesome sufficient to finish the duty of using a stationary bicycle for a number of 20-minute periods. As a result of this research utilized a within-subjects design, contributors weren’t assessed for health ranges previous to participation. Every participant served as his/her personal management, so prior health ranges didn’t affect the evaluation of the effectiveness of the intervention. All periods had been carried out in a climate-controlled college laboratory. Contributors got here to the lab for ten 20-minute periods unfold throughout 3 to 4 weeks; throughout information assortment periods, solely the researcher and the participant had been current. Pseudonyms had been used for all contributors.

Information Assortment and Tools

Throughout every session, contributors rode a stationary bicycle (Monark Cycle Ergometer, 894E). Previous to the primary session, every participant specified their particular person most well-liked seat top and resistance stage; these settings remained fixed all through every session during the research. The bicycle was linked to a pc that analyzed and displayed the real-time revolutions per minute (RPM) of the ergometer’s flywheel; RPM represents the pace at which contributors pedaled the bicycle. Greater RPM indicated a higher depth of train whereas lesser RPM represented a decrease train depth. This show was solely seen to the researcher. A second display was arrange in entrance of the bike and was seen to the contributors; this show confirmed the contributors their scoreboard (i.e., the factors they earned by using the bike at a acknowledged depth for a specified period of time). The researcher noticed the RPM information displayed on the pc and based mostly on contributors’ efficiency, would add factors to the contributors’ rating. These factors served because the tokens within the token economic system system. Contributors had been in a position to trade their earned factors for a wide range of reward playing cards; every earned level was value 25 cents towards their chosen reward card. After every session, the RPM information had been saved on the pc and a imply RPM rating was calculated; the variable of curiosity for this research was the imply RPM for every session. Further tools included a choice evaluation (i.e., contributors indicated their choice of reward card for which they wish to trade their earned factors) and the Situational Curiosity Motivation Scale (SIMS) (16) which contributors accomplished earlier than information assortment started and once more after the token economic system system was accomplished. The SIMS included a number of sub-scales which every measure completely different motivation variables (i.e., intrinsic motivation, recognized regulation, exterior regulation, and amotivation) (16); of curiosity for this research was the intrinsic motivation sub-scale. The pre- and post-SIMS scores had been in comparison with assess for adjustments in intrinsic motivation after receiving extrinsic rewards (i.e., reward playing cards) for participating in train habits.

Experimental Design and Procedures

To research the consequences of token reinforcement on train depth as measured by imply RPM on an train bicycle, a a number of baseline throughout topics design was used (18). As a result of this analysis was grounded in Behaviorism, which views habits as a person phenomenon (30), a single topic methodology was essential, utilizing every particular person participant as their very own management for comparability (9). This method permits researchers to look at particular person results of the therapy which can be masked when utilizing group designs. A number of baselines throughout topics designs have a tendency to indicate efficient experimental management and permit for an correct evaluation of a purposeful relation between an intervention and the dependent variable. When utilizing a a number of baseline design, the researcher begins every participant within the baseline part, then introduces the intervention to particular person contributors one after the other, every at completely different instances, till each participant is receiving the intervention (18). For instance, all contributors start the research within the baseline part the place they interact in periods with out an intervention or therapy. Then, participant A receives the therapy starting on the third session, whereas the remaining contributors had been nonetheless within the baseline part. Later, participant B could be launched to the therapy within the fifth session whereas the remainder of the contributors remained in baseline. This course of could be repeated till all contributors had been moved into the therapy part at completely different instances within the course of. Based on Cooper et al. (9), a therapy could be deemed efficient when contributors’ habits adjustments solely when the therapy is launched. On this research, the token economic system could be deemed an efficient intervention if contributors’ imply RPM had been secure throughout baseline periods however elevated when the token economic system was launched. The next describes the baseline and token economic system phases of the research.

Baseline. Throughout baseline periods, contributors had been requested to trip the stationary bike for 20 minutes at a tempo of their alternative. They had been knowledgeable that they might trip for 20 minutes and their imply RPM could be recorded, however wouldn’t be seen to the participant. Throughout these periods, contributors didn’t obtain factors on their scoreboard; no exterior reinforcement or suggestions was offered. After every session, imply RPMs had been calculated and recorded on a line graph. As soon as a secure baseline pattern was noticed (i.e., a number of subsequent baseline periods produced very related imply RPM outcomes or their imply RPM scores had been persistently declining), contributors had been moved into certainly one of two token economic system phases.

Token economic system. Throughout token economic system periods, contributors rode the identical stationary bicycle for 20-minute periods however had been advised in the event that they pedaled at a sooner charge, they might obtain factors (i.e., tokens) on their scoreboard display which they might trade for a present card; no different directions had been offered. The factors had been administered utilizing two completely different schedules of reinforcement. 5 of the contributors (i.e., George, Michael, Oscar, Buster, and Tobias) obtained factors on a hard and fast interval (FI) schedule whereas the remaining 5 (i.e., Ron, Leslie, Andy, April, and Donna) obtained factors on an rising interval (II) schedule of reinforcement.

Fastened interval. For every participant on this situation, a baseline imply RPM was calculated. A criterion RPM was then set at 10% above every participant’s particular person baseline rating. Throughout token periods, when contributors pedaled at or above their criterion RPM for one full minute, they obtained some extent. This course of continued for the total 20-minute session; a complete of 20 factors was doable if the participant rode at or above the criterion for the total session. This identical process was adopted for every participant on this situation throughout all remaining token periods.

Growing interval. For the contributors on this situation, the identical methodology for establishing a criterion RPM rating was adopted and for his or her first token session; these contributors additionally obtained one level for every minute they had been at or above their criterion RPM. Nonetheless, every subsequent token session grew to become more and more harder to earn a token; the time at or above the criterion elevated by 30 seconds for every following session (i.e., Session 1 = one minute per token; Session 2 = 1.5 minutes per token; Session 3 = 2 minutes per token; and so forth). For these contributors, the speed of reinforcement was systematically decreased because the intervention progressed; the potential for incomes factors went from 20 doable factors throughout the first token session to 13 doable throughout the second session to 10 throughout the third and so forth.

Information Evaluation

Effectiveness of the token economic system. After every session, imply RPM had been extracted from the cycle ergometer information and plotted on a line graph. Single-subject design variations use visible analyses of line graphs to search for adjustments within the pattern, stage, and variability to evaluate the effectiveness of the intervention (9); subsequently, the graphs had been visually inspected to research differentiation between the baseline and intervention phases the place tokens had been awarded.

Intrinsic motivation. Previous to the primary baseline session, contributors had been requested to finish the SIMS questionnaire which analyzed a number of measures of motivation for participating in bodily exercise. Contributors had been additionally requested to finish the identical questionnaire instantly following the final token economic system session. Questionnaires had been scored utilizing the strategies described by Guay et al. (16) and particularly targeted on the intrinsic motivation sub-scale which consisted of 4 questions; outcomes from this sub-scale may vary from a rating of 4 (very low intrinsic motivation) to twenty-eight (very excessive intrinsic motivation). Contributors’ intrinsic motivation scores earlier than the intervention had been in comparison with their scores upon completion of the intervention to evaluate any adjustments after receiving extrinsic rewards for participating in bodily exercise.


Train Depth

All ten contributors elevated the depth with which they pedaled the stationary bicycle when token reinforcement was administered as in comparison with baseline periods with out extrinsic rewards, whatever the schedule of reinforcement to which they had been uncovered (see Figures 1 and a couple of). Contributors within the FI group confirmed a 26.3% enchancment in RPM from baseline to token phases, with a variety of a ten.4% improve (i.e., Buster) to a 56.2% improve (i.e., Oscar) in imply RPM. Contributors within the II group confirmed a good higher enchancment. Their imply elevated RPM by 33.7%, starting from a 16.0 % rise (i.e., April) to a 63.4% enchancment (i.e., Donna). Total, the ten contributors throughout each teams elevated the imply RPM by 30.0%. These outcomes point out each schedules of reinforcement result in improved train depth, with the II schedule exhibiting higher adjustments in train habits.

Figure 1

Determine 1. Imply RPM for baseline and token economic system administered on a hard and fast interval (FI) schedule of reinforcement.

Figure 2

Determine 2: Imply RPM for baseline and token economic system administered on an rising interval (II) schedule of reinforcement.  

Intrinsic Motivation

There have been distinct variations between contributors who obtained rewards on a FI schedule in comparison with those that obtained tokens on the II schedule. The FI contributors’ intrinsic motivation tended to lower, with two exceptions: George’s motivation rating remained the identical from pre- to post- whereas Buster confirmed a small improve of 8.3%. Nonetheless, the scores of contributors on the II schedule both remained fixed from pre- to post- or elevated. Most notably, Donna initially had a really low intrinsic motivation rating of seven; it elevated by 29.2% after receiving tokens on the II schedule (see Desk 1). These outcomes point out that though tokens administered on a hard and fast schedule of reinforcement can have constructive behavioral outcomes, they will concurrently have detrimental results on intrinsic motivation. Nonetheless, when systematic withdrawal procedures are used, another impact was seen; whereas a rise in train depth was noticed, detrimental results on intrinsic motivation weren’t, and in some instances, distinct constructive enhancements had been made.

Desk 1: SIMS scores for intrinsic motivation for ten contributors

Participant Pre Publish % Change
Fastened Interval Schedule      
George 23.0 23.0 0.0
Michael 24.0 22.0 -8.3
Buster 20.0 22.0 8.3
Oscar 26.0 17.0 -37.5
Tobias 26.0 25.0 -4.2
M 23.8 21.8 -8.3
Growing Interval Schedule      
Ron 26.0 26.0 0.0
Leslie 13.0 18.0 20.8
Andy 26.0 26.0 0.0
April 26.0 26.0 0.0
Donna 7.0 14.0 29.2
M 19.6 22.0 10.0
Be aware. The dimensions for the intrinsic motivation sub-component ranges from 4 to twenty-eight (i.e., the bottom doable intrinsic motivation rating is 4; the best is 28).


The first goal of the research was to look at the consequences of a token economic system, administered on two schedules of reinforcement, on the depth with which contributors rode a stationary bicycle. Outcomes indicated that contributors who had been administered tokens on the II schedule of reinforcement (i.e., these whose tokens had been systematically withdrawn because the intervention progressed) confirmed a higher enchancment in imply RPM over baseline in comparison with those that had been offered tokens on the FI schedule (i.e., tokens had been offered in a secure sample and never eliminated or decreased because the intervention progressed). No matter schedule, all ten contributors elevated the pace of biking when token rewards got based mostly on their efficiency; extrinsic rewards can have a constructive impact on train habits.

The secondary goal of the research was to analyze how the administration of extrinsic rewards impacted contributors’ intrinsic motivation for participating in bodily exercise and the way the schedule of reinforcement influenced this impact. Outcomes indicated the extrinsic rewards did, the truth is, affect contributors’ motivation ranges however the route of that affect was depending on the schedule of reinforcement with which they had been concerned. Those that had been administered tokens on the FI schedule had been extra prone to present a lower of their SIMS intrinsic motivation rating, indicating rewards had a detrimental affect on their motivation stage. Conversely, contributors on the II schedule tended to both present no change in intrinsic motivation or their SIMS rating elevated, indicating that if rewards are administered and withdrawn systematically, it’s not essentially detrimental to intrinsic motivation, and in some instances, it could actually truly be helpful.

Outcomes of the present research lend assist to earlier literature that exhibits the constructive behavioral results of token reinforcement on train behaviors (2, 6, 33). DeLuca and Holborn’s (11, 12) sequence of research inspecting the consequences token rewards on boys’ train habits included two dependent measures: train time on a stationary bike and train depth as measured by RPM. When their contributors had been administered rewards on a FI schedule, much like the FI schedule within the present research, the contributors’ imply RPM tended to lower whereas their train time elevated. This discovering is opposite to what the present outcomes indicated; all contributors on the FI schedule elevated their imply RPM by not less than 10% over baseline, with the group imply at greater than a 26% improve. Curiously, throughout their final research, DeLuca and Holborn (13) launched a variable ratio (VR) schedule of reinforcement, which adjustments the speed of reinforcement over time. When contributors had been uncovered to those altering reinforcement circumstances, each the train time and imply RPM drastically elevated. Equally, the outcomes of the present research confirmed that when rewards are administered and systematically withdrawn over the course of the intervention, train depth improved for all contributors. In truth, though each the FI and II schedules confirmed a marked enchancment in train depth, contributors within the II group tended to indicate higher enchancment over baseline than these within the FI group. These outcomes, paired with DeLuca and Holborn’s (11-13) findings point out that when utilizing a rewards system to focus on train depth, it must be administered in such a means that the standards for incomes a reward ought to change intermittently, making it more and more harder for contributors to obtain tangible reinforcers as time progresses. Rewards programs that present a thick and secure charge of reinforcement and don’t embrace a scientific withdrawal of the rewards over time must be prevented.

Though the literature signifies most researchers imagine that extrinsic rewards are a detriment to intrinsic motivation (10), the present findings contradict this consensus and assist the smaller handful of specialists who’ve discovered that rewards will not be essentially detrimental to intrinsic motivation (14) or that they are often, the truth is, helpful (23). Deci and colleagues (10) concluded that contributors who obtained rewards based mostly on their efficiency confirmed a higher unfavourable affect on intrinsic motivation than every other rewards system. The present research used such a performance-contingent rewards methodology however had conflicting outcomes. When rewards had been administered in a secure and constant method, the present findings supported Deci et al.’s (10) outcomes. Nonetheless, when the tokens had been systematically withdrawn, thus making it more and more harder to earn rewards over time, there was no detrimental impact on intrinsic motivation. This helps Eisenberg and Cameron’s (14) outcomes which discovered little proof that rewards resulted in detrimental results on motivation. Additional, Eisenberg and Cameron (14) supported the systematic withdrawal of rewards and likewise discovered that strategies that used performance-contingent reinforcers had been truly higher than different rewards strategies, a direct contradiction to Deci and colleagues’ (10) conclusions and a assist to the present research’s findings. For contributors Leslie and Donna within the present research, each within the II group, they not solely confirmed a drastic improve in train depth throughout their 20 minute train bike periods, they left the intervention with a higher sense of intrinsic motivation for participating in bodily exercise. The remaining contributors on this group elevated their train depth for every of the 20 minute cycle session; this confirmed that, on the very least, exercises could be improved with out damaging topics’ intrinsic motivation. Outcomes from the present research assist using rewards programs that focus on train behaviors and are carried out in such a means that systematically withdraws the rewards by permitting fewer doable rewards as time progresses.

There have been two primary limitations related to this research. First, as a result of this research was grounded in Behaviorism, it utilized a single-subject design (18) which resulted in a small variety of contributors. Thus, the exterior validity of the present research’s outcomes must be considered with warning except replicated. Nonetheless, proponents of single-subject analysis view habits as a person phenomenon (30) and subsequently, every administration of the intervention throughout contributors served as a replication of the research. Regardless, outcomes must be considered cautiously. Secondly, because of the utilization of a a number of baseline throughout contributors design, contributors didn’t interact in a uniform quantity of token periods. For instance, contributors Ron and Leslie had seven 20-minute token periods whereas Donna solely had three. Using this design was strong for examination of the primary dependent variable (18), imply RPM, however weaker when evaluating how the rewards impacted the secondary dependent variable, intrinsic motivation. Future researchers inspecting these variables ought to use a design, akin to one which makes use of an alternating therapies methodology, to make sure there shall be equal alternative throughout contributors to have interaction in a uniform quantity of token periods. Moreover, this research efficiently withdrew rewards from contributors by making the time at or above the criterion RPM stage improve with every subsequent session. Future analysis ought to introduce various strategies of withdrawing rewards, akin to rising the criterion RPM stage for every following session, and look at its affect on train depth and intrinsic motivation. And at last, the present research measured contributors’ motivation ranges earlier than and after the rewards had been administered; future analysis ought to add a follow-up measurement a pair weeks after the cessation of the intervention to evaluate if intrinsic motivation adjustments after time away from extrinsic rewards.

Conclusions and Functions in Sport

The outcomes from this research present that practitioners can use tangible rewards with their college students, purchasers, athletes, and different bodily exercise personnel with a view to successfully affect their bodily exercise habits. This research additionally helps the concept that rewards shouldn’t be a everlasting resolution; fairly, they need to be administered plentifully when people are first studying a brand new ability or participating in a brand new train routine after which be slowly decreased as they turn out to be more and more proficient within the ability and/or progress of their train routine. Ideally, as time goes on, the controlling agent that encourages and maintains the goal behaviors (i.e., the motor ability or train routine) will switch from an extrinsic supply to a pure reinforcer as rewards are withdrawn; it will consequence within the bodily exercise habits being maintained by pure, intrinsic reinforcers to proceed and thrive and never be depending on exterior sources, akin to tokens or different tangible gadgets. Rewards programs like these have the potential to extend bodily exercise engagement, train depth, and intrinsic motivation, if they’re skillfully administered and, presumably extra importantly, competently withdrawn.


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