Home » Ceri Elliott and Karola Dillenburger

Ceri Elliott and Karola Dillenburger

The effect of choice on motivation for young
children on the autism spectrum during discrete
trial teaching
Ceri Elliott and Karola Dillenburger
Centre for Behaviour Analysis, School of Education, Queen’s University Belfast
Key words: Applied behaviour analysis, ABA, autism, discrete trial training, DTT, choice, reinforcer.
Self-determination and decision-making are
acknowledged internationally as key rights of
persons with disabilities and should play an important role in the development of educational plans
and procedures. Not only is the chance for individuals with developmental disabilities to select their
own tasks, leisure activities or reinforcers a valuable way of enhancing rights-based education and
personal dignity, but choice-making opportunities
may also function as a useful clinical or educational
tool if they actually improve the efficacy of programmes aimed at the acquisition of socially relevant behaviours and life skills or the reduction of
challenging behaviours.
The study reported here assessed whether or not
choice affected effectiveness of an educational procedure for three children on the autism spectrum.
Following a preference assessment, a number of
discrete teaching trials were conducted with each
child and, contingent upon targeted responses,
either the child or the therapist selected one of
three preferred reinforcer items. Reinforcer choice
did not affect intervention effectiveness for two of
the children; however, performance and motivation
improved for the third child. Results re-affirmed the
importance of thorough preference assessments
prior to intervention and showed that additional
stimulus choice contingent on the target response
may improve motivation and outcomes for some
children.
A wide range of interventions are available aiming to
support individuals diagnosed with autism spectrum disorders (ASD), from scientifically validated procedures to
parent-developed self-help treatments, to apparently charlatan and fad treatments (Freeman, 2007). Interventions that
have strong, empirically sound research supporting their
use as a medical and educational tool are based almost
exclusively on the application of behaviour analytic principles (National Standards Project, 2009). One important
such principle, used in procedures such as discrete trial
teaching (DTT), is operant conditioning. Operant conditioning describes the process by which behaviours are
acquired, maintained or modified dependent on the antecedents in place prior to the response and the consequence that
follows the behaviour. This principle can be used in a
planned manner to teach new skills, such as in the case of
DTT, a carefully planned shaping procedure that teaches
new behaviours by successive approximation in discrete
trials or ‘learn-units’ (Greer and McDonough, 1999). In a
meticulously planned setting and teaching sequence, each
trial includes the presentation of an antecedent stimulus (A)
that elicits a behavioural response (B) and is followed by
the contingent delivery of a reinforcing stimulus (C). Each
learn-unit represents a learning opportunity for the target
behaviour and, therefore, during each treatment session,
multiple learn-units/trials are presented.
The assessment and availability of effective reinforcers is
key for education in general and vital for effective DTT.
Identification and selection of effective reinforcers are
important prerequisites and commonly a detailed preference assessment is conducted with individual learners to
ensure that only preferred items are considered for use as
reinforcers (Keenan, Kerr and Dillenburger, 2000). Not surprisingly, items or stimuli that function as effective reinforcers for one behaviour may not do so for another,
because reinforcer effectiveness depends on a wide range of
variables, including individual learning history, prevailing
contingencies, and cultural contexts. Events or circumstances that alter reinforcer value and, consequently, alter
behaviour are called ‘motivation operations’ (Michael,
1993). Motivation operations can ‘establish’ or ‘abolish’
reinforcer effectiveness. For example, stimuli to which the
individual has limited access (a process called ‘deprivation’) are likely to become more effective than those that are
familiar and always available (a process called ‘satiation’)
This research was conducted in part-fulfilment of the MScASD at Queen’s University
Belfast by the first author under the supervision of the second author.
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Journal of Research in Special Educational Needs Volume 16 Number 3 2016 187–198
doi: 10.1111/1471-3802.12073
(Lovaas, 2003). Limiting access to some highly preferred
stimuli therefore can function as a motivation operation to
increase the effectiveness of a reinforcer for a particular
behaviour.
The question addressed in this paper is how choice influences reinforcer effectiveness. In other words, does choice
affect the effectiveness of a reinforcer and therefore can
choice usefully be considered a motivation operation?
There is much literature on reinforcer preference assessments and these have become routine part of behaviour
analytic interventions (Kelly, Roscoe and Hanley et al.,
2014; Weldy, Rapp and Capocasa, 2014). Yet to date, the
evidence related to choice per se and its influence on the
reinforcing value of a stimulus has been thin and results
have been mixed.
There is some early evidence that children with severe
developmental disabilities, including autism, engage in more
on-task behaviour and less inappropriate, disruptive or social
avoidance behaviour, when they are provided with opportunities to make choices about tasks or activities, as opposed to
when the teacher selects the activity (Dunlap, dePerczel and
Clarke et al., 1994; Dyer, Dunlap and Winterling, 1990).
More recently, Koegel, Singh and Koegel (2010) investigated the opportunity to choose in an educational environment and found that this decreased latency between
antecedent and behaviour, that is, engagement in academic
task, improved the rate of performance and interest, and
decreased disruptive behaviour in the classroom.
Tasky, Rudrud and Schulze et al. (2008) investigated the
effects of choice on task engagement in three adults diagnosed with traumatic brain injury and found that permitting
individuals to choose from a list of tasks increased on-task
behaviour. The decreasing levels of on-task behaviour
observed during the control phases suggested that the
opportunity to choose the task rather than preference for or
difficulty of the task produced these effects.
Although all of these studies have shown that offering individuals with disabilities the opportunity to make choices
can have beneficial effects, they focus largely on the effects
of choice of the task or activity, that is, the antecedent of the
target behaviour, rather than the possibility of choice constituting a motivation operation.
Very few studies have explored the effect of choice of
reinforcers, despite the fact that Fenerty and Tiger (2010)
established that typically developing preschoolers preferred
reinforcer choice to task choice (cf. Brigham and Sherman,
1973). Early studies, such as Pace, Ivancic and Edwards
et al. (1985) and Mason, McGee and Farmer-Dougan et al.
(1989), found choice via a reinforcer assessment resulted in
lower rates of maladaptive behaviour; however, they offered
choice of reinforcers prior to the teaching trial and therefore
results say more about the effectiveness of preference
assessment than about reinforcer choice. Smith, Iwata and
Shore (1995) also found that choice-making opportunities
prior to the trial did not influence the reinforcing value of a
stimulus.
These results suggest that it may be access to preferred
stimuli, rather than the opportunity to make additional
choices, that influenced the reinforcing value of a stimulus,
although Waldron-Soler, Martella and Marchand-Martella
et al. (2000) used less preferred reinforcers and also found
no differential effect between choice and no-choice
conditions.
Although choice appears to increase the reinforcing value
of a stimulus for some individuals, this is not the case for
others (Bambara, Ager and Koger, 1994; Lerman, Iwata and
Rainville et al., 1997; Vaughan and Horner, 1997). The
question remains if choice produces effects on responding,
even if both the choice and no-choice conditions produce
the same consequence (Catania, 1980). It seems that when
concurrent operant schedules have been used in laboratory
settings, a clear preference for choice exists (Geckler, Libby
and Graff et al., 2000; Graff and Libby, 1999). Fisher,
Thompson and Piazza et al. (1997) concluded that providing choices ‘adds to the reinforcement value of the chosen
stimuli and thus may have the potential to improve the
effectiveness of behavioural programmes’ (p. 433). Tiger,
Hanley and Hernandez (2006) confirmed that children preferred the choice condition, even if it was attached to more
difficult tasks.
These studies appear to strongly suggest that the opportunity to choose is more than simply access to more highly
preferred stimuli, that is, the opportunity to choose may
have reinforcer-altering function. However, previous findings may be explained by the delay between the opportunity
to make a choice and receiving the reinforcing stimuli, that
is, the reinforcer choice was offered prior to engaging in the
task. This delay may negate the motivational effect of
choice. The question remains, whether or not choice influences the value of a reinforcing stimulus. The effects of
choice per se on responding may be apparent when the trial
is framed as ‘choice condition’, and choice making is available only following the response, that is, immediately prior
to receiving the chosen reinforcer.
For the present study, the implications of this state of play
are twofold. First, the greater the value of a reinforcing
stimulus, the more effectively new skills are acquired, and
second, despite a large body of evidence supporting DTT as
an effective teaching tool in the education of children diagnosed with autistic spectrum disorders, this method has
been criticised for being too teacher-driven. DTT is a tightly
prescribed procedure. Target behaviours are either based on
parent–professional agreement or on developmental or academic curricula; reinforcers are identified on the basis of
individual child-led preference assessments. Apart from
this, traditionally DTT does not include much by the way of
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choice for the child, and strict treatment fidelity, that is,
adherence to protocols, is recommended.
Researchers such as Greenspan (1992) and Smith (2001)
have expressed concern that the teacher-directed nature
of DTT introduced a bias that emphasises skill building
at the neglect of a child’s social and emotional needs.
From a human rights perspective (UNCRPD, 2006), traditional DTTs offer little in the way of self-determination
(Schreibman, 2007). If choice were to enhance reinforcer
effectiveness, practitioners using DTT could offer children
the opportunity for self-determination whilst maintaining
treatment fidelity. The present study investigated if the introduction of reinforcer choice in DTT, that is, framing the DTT
in a choice condition with choice available immediately
prior to reinforcer delivery, would have a motivating effect
for learning.
Methodology
Participants and setting
Three boys with a diagnosis of ASD who were enrolled in
home-based early intensive behavioural intervention (EIBI)
programmes took part in the study. Apart from EIBI, the
children also attended playschool. Jo was 4 years and 3
months old at the time of the study and received 25 hours of
one-to-one EIBI [a combination of DTT and Natural Environment training (NET)] in the living room of his home.
Will was 4 years and 6 months old and received 30 hours of
EIBI a week, in a room in his home that was specially
allocated to this purpose. Sam was 4 years and 6 months old
at the time of the study and received 20 hours of EIBI in his
bedroom.
All three children were able to communicate their needs and
preferences vocally. Jo and Will communicated their preferences using short sentences, for example, ‘I want to
play. . . .’ or ‘work for. . . .’; Sam’s communication level
was similar to his peers, but he used more complex sentence
structure, for example, ‘After we. . . . I think maybe I would
like to play with the. . . .’.
During casual observations of typical therapy session, Jo
seemed relatively socially aware and responsive. He
appeared to enjoy the social interaction with the therapist
(first author). His skill acquisition rate was slower than the
other boys, but this was more due to lower ability than his
co-operation in the sessions. Will was less socially aware
and seemed less motivated by social interaction. However,
at times he showed interest in access to a small toy train,
in the shape of the cartoon character of Thomas the Tank
Engine.
Sam had a very high skill acquisition rate, although he was
less socially aware than the other boys. Sam preferred to play
alone at times, although at other times he was very engaging,
especially when engaging in activities he enjoyed, when he
became very vocal and engaged in joint attention.
All sessions were conducted in the room in which their
usual EIBI took place. For the purposes of therapy each
room was arranged in a very similar manner. In each setting,
there was a small table, with two chairs on opposite sides,
one for the child and one the therapist. There was an open
mat area for playing games on the floor.
Sessions comprised of short bursts of DTTs at the table,
lasting a maximum of 5 minutes each, and after a maximum
of three DTTs, the child and the therapist moved to the mat
for a less structured play-based activity for a period of about
5 minutes. All the materials, games and toys necessary to
implement the sessions were prepared in advance and
stored in a box beside the therapist’s chair and included a
range of small coloured picture templates depicting a range
of people (who), objects (what) and places (where). Potentially motivating items, such as toys and games, puzzles,
kerplonk, donkey, a box of farm animals, a garage and toy
cars, were arranged around the mat making it easy for the
child or therapist to choose one.
Target behaviours and research tools
The target behaviour was ‘accurate discrimination between
WH- questions’, that is, WH-discrimination:
• Who, referring to a person;
• What, referring to an action or an object; or
• Where, referring to a place.
Following a preference assessment (described below)
potential reinforcer items were identified and available as
follows:
• For Jo, a toy oil dripper, a singing book, a wind-up
ladybird, a wind-up frog, a spinning top, a flick book;
• For Will, a Thomas the Tank Engine book, a small
Thomas train, a large Thomas train in a circular track, a
picture of all the trains in the Thomas series, a head
scratcher, a vibrating dog massager;
• For Sam, a toy helicopter, a small magnetic spaceman,
a giggle stick, five plastic haahoos, a Night Garden
spinning gazebo, a light-up spinner.
Procedure
Prior to the start of the study, parent and therapist feedback
was used to identify a pool of 12 potentially reinforcing
stimuli for each child. Using a paired stimuli choice assessment in which pairs of stimuli were held up and the child
asked which they would like to play with, the selection was
narrowed to six highly preferred items for each child. Fisher
et al. (1997) found that offering children a choice of pairs of
stimuli and allowing them access only to the first stimuli
they had chosen, established a highly accurate assessment
of the child’s preference (preferred reinforcer items for each
child were listed under Target Behaviours and Research
Tools).
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At the start of each session, an additional, very brief preference assessment was carried out to identify the three
stimuli that were the most highly preferred items for that
particular session. Each of the items was held up in pairs
and the child was asked which they would prefer to play
with. In order to check for accuracy, the three items that
were verbally identified as preferred items were then held
up together with another one of the original six and the three
items that the child identified as most preferred were used in
the session that followed.
During the 3-hour EIBI session that followed immediately
after the preference assessment, a fixed-ratio one schedule
(FR1) was in place for all skills acquisition phases, that is,
every correct response was followed with immediate reinforcer delivery. In the skills maintenance phase, this reinforcement schedule was thinned to a variable-ratio three
schedule (VR3), that is, average of every third target
response was reinforced.
For the matching phase, the child sat at the table and
three picture templates containing examples of people
(who), objects (what) and places (where) were placed on
the table in front of the child. A picture of a person, an
object or a place was given to the child with the verbal
instruction ‘put with who/where/what’. The target
response was to place this picture on top of the corresponding template.
During the receptive phase, three pictures, a person, an
object, a place, where placed on the table in front of the
child. The instruction was ‘give me who/where/what’. The
target response was to pick up the corresponding picture
and hand it to the therapist.
The first two instances of instruction for each new target
response were fully prompted, that is, the child was immediately physically prompted to engage the correct response
without the opportunity to respond independently and
reinforcers were delivered immediately following the
prompted correct response. From the third instruction
onwards, the child was given the opportunity to respond
independently. If the child responded correctly they immediately received a reinforcer. If they responded incorrectly
they were asked to try again. The instruction was repeated
and a full physical prompt was used to ensure the correct
response (errorless learning); verbal praise was used but
no tangible reinforcers were made available for fully
prompted responses. The instruction was then repeated
giving the child another opportunity to respond independently. If the child responded with the correct target
behaviour, verbal praise and a tangible reinforcer were
delivered immediately. If the child responded incorrectly
they were asked to try again, the instruction was repeated
and full prompting was used for the correct response.
Verbal praise was used without additional reinforcer
items and the instruction was not repeated until the next
session.
In the next session, the instruction was repeated and in the
first instance full physical prompting was used for the
correct response, that is, the child did not have the opportunity to respond independently. Verbal praise and tangible
reinforcers were delivered. The instruction was then
repeated and the child was given the opportunity to respond
independently, with the same consequences as before. If on
any instance of instruction the child did not respond within
3 seconds, this was considered a non-response and treated
in the same manner as an incorrect response. Data were
taken on each response opportunity. A maximum of 10 trials
per session were conducted.
To measure the effect of reinforcement on compliance and
motivation throughout the session, data were also taken on
the instruction ‘come sit’. When, for example after a break,
the instruction ‘come sit’ was used the target response was
that the child would stop the break-time activity and come
to the table and sit down on their chair. Data were taken on
compliance, speed and interfering behaviours. If the child
took longer than 3 seconds to begin to respond, the
response was tallied as slow response but considered
correct, and verbal praise and tangible reinforcers were
provided. If the child took longer than 5 seconds to
respond, this was considered a non-response. The child
was asked to try again. The instruction ‘come sit’ was
restated and when the child came to the table and sat on
the chair, verbal praise was given but no other reinforcers
were delivered. The few occasions when a child responded
immediately and moved at a very fast walk or even a run
to the table were considered a fast response. Data were
taken also if any behaviour other than the target behaviour
occurred. If the child engaged in any behaviour other than
the target behaviour from the time the instruction ‘come
sit’ was issued to the time the child sat in the chair, this
was recorded in field notes.
Two 3-hour intervention periods per week were conducted
with each child; each period consisted of three 45-minute
therapy sessions with 15-minute breaks between sessions.
The intervention periods reported in the present study
were incorporated into the current home-based intervention programmes; no additional time was required. The
wh-discrimination was targeted once per 45-minute
therapy session, totalling three times per 3-hour intervention period. Each session consisted of a maximum of 10
discrete trials. The instruction ‘come sit’ occurred each
time the child needed to return to the table after a break,
and were tallied for each therapy session totalling three
per 3-hour intervention period throughout the 3-hour
period.
Experimental design
No-choice condition: For every accurate response for which
a reinforcer was to be delivered, the experimenter chose one
of the three highly preferred items and allowed the child to
play with the chosen toy for a short period of time (approx.
30 seconds).
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Choice condition: For every target response for which a
reinforcer was to be delivered, the experimenter showed the
three items available and the child verbally requested the
item they chose as reinforcer on this occasion. The child
was then allowed to play with the chosen toy for a short
period of time (approx. 30 seconds).
In order not to distort results by adding extra therapy time,
the research was conducted as part of the structured homebased EIBI programme. An alternating treatment research
design was used in order to compare choice versus
no-choice conditions. Given that no-choice conditions had
been used in all EIBI programmes prior to this study (i.e.,
no-choice condition was considered ‘treatment as usual’),
this condition also supplied baseline data. The no-choice
condition was applied to two sessions per week for 2 weeks,
then the choice condition was applied for two therapy sessions per week for 2 weeks. Subsequently, there was a
return to the no-choice condition for two sessions for 1
week and finally, a return to the choice condition for two
sessions for 1 week.
Results
Figure 1 shows the percentage of correct responses during
the acquisition of Wh-question discrimination for all three
of the children. Whenever a new item was introduced, full
prompting was used for the first two trials. The percentage
of non-responses per session was included to give a fuller
picture.
Jo and Will showed similar levels of skill acquisition in both
the no-choice and the choice conditions. For Jo there were
no instances of non-responding, although for Will there
were similarly low levels of non-responding across both
conditions.
Sam’s data showed a small increase in skill acquisition in
the choice phases when compared with the no-choice
phases. There were also considerably higher levels of nonresponding during the no-choice phases with only one
instance of non-responding during the choice phases in
Session 25. Field notes evidenced that on a number of
occasions during the first no-choice phase Sam requested a
choice. For example in Session 11, when the therapist
handed Sam the In the Night Garden book as reinforcer,
Sam responded by saying ‘No, maybe I would like to play
with the Haahoos now’. He did not respond to the next
instance of instruction ‘put with Where’. In Session 14, the
therapist handed Sam the spaceman as reinforcer. When
denied the opportunity to choose, he handed the spaceman
back to the therapist saying ‘No, I don’t want to play with
the spaceman.’Again, on the next instance of instruction he
became unresponsive and had to be physically prompted to
‘put with Where’.
In the second no-choice phase Sam attempted to negotiate
less often but during Session 33, when the therapist handed
him the HaaHoos, he requested to play with a fire-engine
which was not one of his highly preferred items and anecdotally not something he generally liked to play with.
Figure 2 shows percentage of correct responding and nonresponding to the instruction to ‘come sit’ back at the table
for each teaching period during no-choice and choice conditions for Jo, Will and Sam.
The ‘come sit’ instruction was given at the beginning of
each new teaching session, in other words, after each
break from the table, the child was instructed to come and
sit back at the table. For Jo and Will, there was no
significant difference in responding to the ‘come sit’
instruction during either of the conditions. Both boys
responded well to the instruction with a relatively low
level of non-compliance.
For Sam, however there was a marked difference between
the two conditions. In the no-choice condition, he showed
considerable levels of non-compliance to the instruction to
come and sit at the table after each mat-based activity; in
fact, at some occasions he actually shouted ‘no’ or ‘I won’t’.
At the beginning of the last no-choice session when Sam
was asked to ‘come sit’, he threw himself on the floor and
shouted ‘no, no, never ever’.
In contrast, in the choice condition he used sentences of a
level of sophistication that had not been observed before.
For example on his way to the table, he said ‘Can I chose
the one I want? Ok, well I think I would like to play with
the. . ..’. At the beginning of the subsequent no-choice condition he used quite elaborate negotiation skills to get the
therapist to change her mind, saying ‘But Ceri, I think
maybe I would like to choose’. When he was told that this
was a no-choice condition he became non-responsive.
In order to have further measure of motivation, latency
between instruction to ‘come sit’ and accurate child
response was measured; short latency, that is, fast responding (less than 2 seconds) was considered highly motivated,
and longer latency, that is, slow response (within 5
seconds) was considered lack of motivation. Figure 3
shows that Jo generally responded within relatively short
response times.
Will responded slowly (long latency) most of the time
(Figure 4). There was little difference in the choice and
no-choice conditions.
Sam responded slowly during no-choice conditions. In fact,
there was only one instance of fast responding during the
both no-choice phases. However, latency increased considerably during choice conditions (Figure 5). On a number of
occasions, he requested a specific reinforcer item of choice
while moving rapidly to the table, saying for example ‘I
think maybe I would like to play with the helicopter’ or ‘No,
I don’t think I want the helicopter, maybe I could play with
the fireman instead?’
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Discussion
The effect of choice on reinforcer effectiveness and motivation during DTT (who, what, where discriminations) was
assessed for three children with a diagnosis of ASD. Preferred potential reinforcer items were identified in a paired
stimuli choice preference assessment prior to the intervention. In the non-choice condition, the therapist provided one
of the three preferred items contingent on accurate responding; in the choice condition, the child chose one of the three
preferred items immediately after the response, that is, just
prior to reinforce delivery. Choice did not have an effect on
reinforcer effectiveness or motivation for two of the children
(Jo andWill); however, for the third child (Sam), there was an
increase in accurate responding and motivation in the choice
condition, as well as the emergence of novel and advanced
behavioural variability.
Figure 1: Percentage of correct responding and non-responding during the WH-Question discrimination skill
acquisition phase for Jo, Will and Sam
0
20
40
60
80
100
120
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35
No Choice Choice Choice
No
Choice
Percentage of
correct responding
per table sitting
Table Sitting: 3 per session
Percent
Jo
0
20
40
60
80
100
120
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35
No Choice Choice Choice
No
Choice
Table Sitting: 3 per session
Percent
Will
Percentage of
correct responding
per table sitting Percentage of
non-responding per
table sitting
0
20
40
60
80
100
120
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35
No Choice Choice Choice
No
Choice
Table Sitting: 3 per session
Percent
Percentage of
correct responding
per table sitting
Percentage of
non-responding per
table sitting Sam
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Most of these findings concur with the existing literature
(e.g., Bambara et al., 1994; Fenerty and Tiger, 2010;
Tasky et al., 2008; Vaughn and Horner, 1997) where
choice effects occur with some but not all participants. In
our study, choice influenced the value of a reinforcer for
one child, but not the other two. Whilst Jo’s data indicated slightly higher levels of responding than Will’s, for
both children, responding remained consistent over all
phases of the study. For Sam, however, choice made a big
difference.
Figure 2: Percentage of correct responding and non-responding, to the instruction ‘come sit’ back at the table after a
break during no-choice and choice conditions for Jo, Will and Sam
0
10
20
30
40
50
60
70
80
90
100
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35
No Choice Choice Choice
No
Choice
Percentage of
correct responding
per 45-minute
teaching period
Teaching period: 3 per session
Percent
Jo
Percentage of nonresponding per 45-
minute teaching
period
0
10
20
30
40
50
60
70
80
90
100
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35
No Choice Choice Choice
No
Choice
Percentage of
correct responding
per 45-minute
teaching period
Teaching period: 3 per session
Percent
Will
Percentage of nonresponding per 45-
minute teaching
period
0
10
20
30
40
50
60
70
80
90
100
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35
No Choice Choice Choice
No
Choice
Percentage of
correct responding
per 45-minute
teaching period
Teaching period: 3 per session
Percent
Sam
Percentage of nonresponding per 45-
minute teaching
period
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Journal of Research in Special Educational Needs, 16 187–198
Choice can be used in one of two ways: as an efficient tool
for identifying individual preferences or as choice ‘per se’
(Dyer et al., 1990). There is extensive literature regarding
the use of choice to identify individual preferences in reinforcer assessments. The question addressed by the present
research related to the effect of choice per se.
We found that for some children choice per se appeared
to function as a motivation operation (Michael, 1982).
Motivation operations alter (‘establish’ or ‘abolish’) the
effectiveness of a reinforcer and lead to new or changed
behaviours. For Sam, the inclusion of choice into the
DTT clearly seemed to function as an establishing
operation. For him, choice increased both skill acquisition
and motivation to participate and facilitated the emergence of complex sophisticated novel behaviours. Choice
seemed to become increasingly important for Sam;
in fact, on one occasion during a no-choice condition, he
verbally requested a reinforcer that had been considered
only moderately preferred during previous preference
assessments.
The influence of choice per se on motivation was apparent
in Sam’s quickly coming to the table during the choice
condition and the markedly slower response to the ‘come
sit’ instruction during the no-choice condition. It is also
interesting to note that this reluctance to participate
increased steadily during the no-choice sessions. As such,
the opportunity to choose in one condition had an adverse
effect in the no-choice condition. Future studies should
consider the potential of this ‘behavioural contrast
effect’ (Catania, 1992) when introducing choice-making
contingencies.
In most existing studies, choice is offered prior to presentation of the antecedent stimulus but following a preference
assessment, that is, the child chooses which of the preferred
items they wanted to work for during a specific trial, prior to
the beginning of the trial (Dyer et al., 1990; Fisher et al.,
1997; Geckler et al., 2000). This sequence can be
represented in the following formula (where Rc stands for
reinforcer choice and A –B–C stand for one learn-unit/
three-term contingency in a DTT):
R ABC c −−−
Mason et al. (1989), Tasky et al. (2008) and others found
that once a pool of highly preferred reinforcers was
Figure 3: Response latency to the instruction ‘come sit’ for Jo across choice and no-choice conditions
0
10
20
30
40
50
60
70
80
90
100
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35
No Choice Choice Choice
No
Choice
Teaching period: 3 per session
Percent
Jo
Percentage of slow
responding per 45-
minute teaching
period
194 ª 2014 NASEN
Journal of Research in Special Educational Needs, 16 187–198
established, the opportunity for further choice prior to the
trial did not improve task performance.
We included choice making after the response, that is,
immediately prior to reinforcer delivery. This response contingent choice condition is represented in the following
formula:
AB RC c − − ( )
Lerman et al. (1997) thought that response contingent
access to choice did not increase response rates when compared with the no-choice condition. Yet, we found that initially response contingent choice seemed to increase
reinforcer effectiveness for Sam; in fact in some instances
Sam requested choice before he was even seated for the
trial. This may indicate that the timing of choice making is
important. Further research would need to explore the idea
of choice timing and response contingent choice making
experimentally.
Alternatively, choice per se could be considered a motivation operation that ‘frames’ the entire interactional
sequence during a choice condition. This would be represented as follows:
RABC c ( − − )
For Sam, choice seems to function as motivation operation
as evidenced in increased reinforcer value, even of previously non-preferred items. In addition, the emergence of
novel vocal behaviour at a level of sophistication not previously observed was intriguing. Further research should
explore the impact of choice per se on behavioural variability, especially in the context of generating behavioural
cusps (Rosales-Ruiz and Baer, 1997). This could have
important treatment implications, for example in pivotal
response training (Steiner et al., 2013).
On a practical note, the introduction of choice could mitigate against satiation effects and thus could render daily
preference assessments unnecessary. Choice itself could
become an activity reinforcer as represented in the following formula:
ABRc − −
For example, Dyer et al. (1990) found that levels of aggressive behaviour increased in the second no-choice condition
Figure 4: Response latency to the instruction ‘come sit’ for Will across choice and no-choice conditions
0
10
20
30
40
50
60
70
80
90
100
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35
No Choice Choice Choice
No
Choice
Teaching period: 3 per session
Percent
Will
Percentage of fast
responding per 45-
minute teaching
period
0
10
20
30
40
50
60
70
80
90
100
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35
No Choice Choice Choice
No
Choice
Teaching period: 3 per session
Percent
Will
Percentage of slow
responding per 45-
minute teaching
period
ª 2014 NASEN 195
Journal of Research in Special Educational Needs, 16 187–198
when compared with the first. In our study, however, Sam
displayed lower levels of noncompliant behaviour during
the second no-choice condition. As such, maybe choice per
se functioned to reinforce compliance.
Given that choice is such an important human right, providing for enhanced personal autonomy and quality of life
(Cannella, O’Reilly and Lancioni, 2005), the question
remains why choice was not ‘working’ for Jo and Will. How
can we make choice a more important factor in the life of
children like these? It is possible that for some of the children choice would be preferred, but because of communication difficulties, they are not able to express their choices.
If this were the case, it is important to find ways to enhance
communication skills and thus choice-making opportunities
for these children.
For others, the effect of choice outside of preference assessments needs to be investigated further so that we may know
more about the conditions under which choice making
enhances performance. We should investigate the impact of
developmental levels or intellectual ability on choice
making. In cases where the opportunity to choose per se has
little influence on behaviour, individual preference assessments remain important; however, the main focus should be
to teaching individuals with developmental disabilities to
effectively indicate their choices.
Alternatively, for those individuals for whom choice functions as motivation operation, choice-making opportunities
should routinely be included in structured interventions.
The fact that reinforcer choice increased the reinforcing
effects even of highly preferred stimuli for Sam has implications for those working with children on the autistic spectrum. The key to all good early intensive behavioural
intervention is individualising the programme to fit each
child’s unique pattern of existing developmental skills as
well as their developmental skills deficits and excesses
(Green, 2001). It is important therefore that practitioners
consider choice as an important factor in programme
design.
In sum, according choice to individuals on the autism spectrum is not only important from a human rights perspective,
it can also have an important therapeutic effect because of
its motivational function.
Figure 5: Response latency to the instruction ‘come sit’ for Sam across choice and no-choice conditions
No Choice Choice Choice
No
Choice
Teaching period: 3 per session
Percent
Sam
Percentage of fast
responding per 45-
minute teaching
period
0
10
20
30
40
50
60
70
80
90
100
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35
0
10
20
30
40
50
60
70
80
90
100
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35
No Choice Choice Choice
No
Choice
Teaching period: 3 per session
Percent
Sam
Percentage of slow
responding per 45-
minute teaching
period
196 ª 2014 NASEN
Journal of Research in Special Educational Needs, 16 187–198
Address for correspondence
Karola Dillenburger,
Centre for Behaviour Analysis,
School of Education,
Queen’s University Belfast,
Belfast BT71HL,
Northern Ireland.
Email: [email protected].
References
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198 ª 2014 NASEN
Journal of Research in Special Educational Needs, 16 187–198
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