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Canadian Journal of School Psychology
The Validity ofFunctionalBehavioral Assessment withStudents
ofAverage IntellectualAbilit
Scott A. StageUniversity of Washington
In the United States, functional behavioral assessment (FBA) is
a new requirementofthe 1997Amendments to Individuals with
Disabilities Education Actfor studentswho exhibit challenging
behavior. FBA has been extensively studied with personswith severe
andprofound intellectual disabilities within clinical settings.
However,there is limited research with students with average
intellectual ability in publiceducation settings. This article
reviews seven pertinent validity indices associatedwith FBA:
external validity, content validity, convergent validity, criterion
validity,treatment validity, social validity, and habilitative
validity. In short, much researchis needed to inform practitioners
about conducting valid FBAwith students withaverage intellectual
ability.Aux Etats-Unis, I'evaluation du comportement fonctionnel
(ECP) (FunctionalBehavioral Assessment FBA) est une nouvelle
exigence de la Loi constitutionnellede 1997 sur les individus ayant
une deficience et qui demontrent un comportementa risque. Le ECP a
ete, etudie dans un environnement clinique et d'unefa,on
tresapprofondie avec des personnes d6montrant des troubles de
deficienceintellectuelle. Cependant dans le milieu de l'education
publique, il n'y a que trWspeu de recherches et surtout elles sont
tres limitees avec des etudiants ayant uneintelligence moyenne. Cet
article passe en revue sept indices valides, associesavec le ECP:
validite externe, contenu, convergence, criteres, validite
(r6sultat ?)du traitment, validite sociale et validite de
1'habilete (?). En resume, il y a unbesoin pour plus de recherche
dans le domaine du ECP afin que les praticienspuissentfaire un
suivi tres approfondi du ECP avec des etudiants ayant une
habileteintellectuelle moyenne.
In the United States, the 1997 amendments to the Individuals
with DisabilitiesEducation Act (IDEA '97) requires that students
with disabilities who exhibitchallenging behavior have a proactive
behavior management plan included intheir individual educational
plan (IEP) based on a functional behavioralassessment (Yell, 1998;
Yell & Shriner, 1997). There is exceptional empiricalsupport
for the use of functional behavioral assessment (FBA) with
personswith severe and profound intellectual disabilities in
clinical settings (Blakeslee,Sugai, & Gruba, 1994; Derby et
al., 1992; Gresham, Quinn, & Restori, 1999;Iwata et al., 1994;
National Institute of Health, 1989). However, the validityof FBA
with students with average intellectual ability in public
education
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settings has not been established (Fox, Conroy, & Heckaman,
1998; Gable,1996, 1999; Gresham, Quinn, & Restori, 1999;
Nelson, Roberts, Mathur, &Rutherford, 1999; Scott & Nelson,
1999).
Research on the validity of FBA is necessary to inform the
field, soappropriate procedures and methods can be uniformly used
with studentswith average intellectual ability within public
education settings (Gable,1996, 1999; Gresham, Quinn, &
Restori, 1999). In the United States, schoolpsychologists, special
educators, and general educators are required toprovide valid
assessments in keeping with the standards set forth by theAmerican
Psychological Association (1992), the National Association ofSchool
Psychologists (1992), and the American Educational
ResearchAssociation's National Council on Measurement in Education
(1985).Establishing valid FBA procedures protects consumers (i.e.,
parents, students,educators, and school psychologists) by providing
procedures that are likelyto result in efficacious treatment.
Functional Behavioral Assessment ProceduresCone (1997) defines
FBA as activities involved in formulating hypothesesabout
potentially controlling environmental variables that influence
behavior.The environmental variables that influence the behavior
are determined bythe assessment of setting events, antecedents, and
consequences that reliablypredict the occurrence and maintenance of
the behavior (Bijou, Peterson, &Ault, 1968). Setting events are
factors that precede the behavior in time buthave a strong
influence on the occurrence of the behavior (Wahler &
Fox,1981). For instance, the biological state of sleep deprivation
can influence astudent's alertness and subsequent performance in
school (O'Reilly, 1995).Antecedents are discriminative stimuli that
signal a high probability thatthe behavior will be rewarded or
punished. For instance, a teacher's proximityto a student can act
as a stimulus to reduce the student's disruptive behavior(Dunlap et
al., 1993). Consequences are events that follow a behavior thatare
likely to maintain it through reinforcement. For instance, for
somestudents, teacher approval for appropriate classroom behavior
will increasethe likelihood that the students will comply with
classroom rules (Becker,Madsen, Arnold, & Thomas, 1967).
The process of conducting a FBA is described in three separate
phases(e.g., Carr, Levin, McConnachie, Carlson, Kemp, & Smith,
1994; Cone, 1997;Kern, Childs, Dunlap, Clarke, & Falk, 1994;
Horner & Carr, 1997; O'Neill,Horner, Albin, Sprague, Storey,
& Newton, 1997). (a) The descriptive phaserequires gathering
information about the problem behavior within theenvironmental
context that it occurs. (b) The interpretative phase requires
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generating hypotheses about the setting events and antecedents
that predictthe occurrence of the behavior as well as the
consequences that maintain thebehavior in the setting that the
behavior occurs. (c) The verification phaserequires determining the
causal relationship between these variables andtheir influence on
the behavior using an experimental single-subject design.The
following describes pertinent validity measures associated with
eachphase of FBA. However, prior to this discussion, the limited
researchconducted with FBA and students with average intellectual
ability isdiscussed.
External ValidityValidity is the overall evaluation of the
degree to which empirical evidencesupports the use of the
assessment procedures used (Messick, 1995). Externalvalidity is the
degree to which results derived from certain settings
andpopulations generalize to other settings and populations
(Campbell & Cook,1976). Almost all of empirical evidence for
the use of FBA comes fromstudies involving individuals with severe
or profound intellectual disabilitieswho exhibit self-injurious
and/or disruptive behavior in clinic settings(Blakeslee, Sugai,
& Gruba, 1994; Derby et al., 1992; Iwata et al., 1994;Nelson,
Roberts, Mathur, & Rutherford, 1999). Of interest is whether
FBAcan be successfully applied to students with other disabilities
in publiceducation settings (Gresham, Quinn, & Restori, 1999;
Nelson et al., 1999).Another consideration in regard to external
validity is the response class ortarget behavior of the
intervention (Gresham, Quinn, & Restori, 1999).Because IDEA '97
describes the use of FBA, in part, for school
disciplinarypractices, external validity needs to be established
with disruptive behaviorin public education settings. In the most
extensive meta-analysis to date ofintervention studies directed at
disruptive behavior in public educationsettings, Stage and Quiroz
(1997) found only 6 studies that included 11students investigating
the use of FBA-based interventions. They found thatall of the
subjects in these studies were students in elementary school,
fivewere general education students, three were students with mild
mentalretardation, and three were students with emotional
disturbance. Because29% of the students served with a mild
disability in the United States arefrom 12 to 17 years of age (U.S.
Department of Education, 1994), researchwith this age group is
needed in order to determine what FBA procedureswork best with
these students. None of the students in the meta-analysiswere
reported to be of color or ethnically diverse. The lack of research
withpersons of color is particularly problematic because 24% of the
studentsserved with mild disabilities in the United States are
African-American and
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8% are Hispanic students (U.S. Department of Education, 1994).
Researchis needed to devise culturally sensitive FBA procedures.
Overall, there islimited support for the external validity of FBA
procedures with studentswith average intellectual ability in public
education settings. Inclusion ofethnic diversity is missing, and
there is no representation of students inmiddle or high school
settings.
Validity Measures for the Descriptive PhaseThe descriptive phase
requires gathering information about the environmentalvariables
that purportedly control the problematic behavior. This
requirescollecting a representative sample of behavior from the
domains of interestthat purportedly affect the behavior. In
traditional psychological test theory,this requires that the
instruments used have content validity (Anastasi, 1976;Cone, 1997;
Linehan, 1980; Messick, 1988, 1995). FBA procedures useinterviews,
rating scales, and descriptive observations to derive
hypothesesabout the setting events, antecedents, and consequences
that predict theoccurrence and maintenance of the behavior (Tobin,
1994). Therefore, theseinstruments need to sample behavior and
conditions that act as setting events,antecedents, and consequences
for the problem behavior of concern. Theimportance of determining
adequate representation of the environmentalvariables or
establishing content validity is particularly important for
thedevelopment of proactive behavioral support plans for students
apt toencounter disciplinary actions (e.g., Clarke, Dunlap,
Foster-Johnson, Childs,Wilson, White, & Vera, 1995; Dunlap et
al., 1993; Dunlap & Kern, 1996;Umbreit, 1995).
The content validity of interviewsInterviewing parents and
teachers provides valuable information about thevariables that
predict or maintain problem behaviors in classroom settings(Kern,
Dunlap, Clarke, & Childs, 1994; O'Neill, Homer, Albin,
Sprague,Storey, & Newton, 1990, 1997). The most widely cited
and researchedinterview is the Functional Assessment Interview Form
(e.g., Anderson,Freeman, & Scotti, 1999; Kern, Childs, Dunlap,
Clarke, & Falk, 1994;Sturmey, 1994; Vollmer, Marcus, Ringdahl,
& Roane, 1995) which wasdeveloped by O'Neill, Horner, Albin,
Sprague, Storey, and Newton (1990,1997). The thoroughness of the
Functional Assessment Interview Form(1997) and the open-ended
nature of questions suggest that this interviewcovers the possible
setting events, antecedents, and consequences to insurecontent
validity.
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Another interview used with students' demonstrating behavioral
problemsis the Student-Directed Functional Assessment Interview
Form (O'Neill,Horner, Albin, Sprague, Storey, & Newton, 1997).
The thoroughness of thisinterview and design are similar to the
format used with adult informantsand suggests good content
validity.
The content validity of rating scalesRating scales are also used
in FBA (Durand & Crimmins, 1988a; Lewis &Sugai, 1994). The
most widely used and researched rating scale is theMotivational
Assessment Scale (e.g., Crawford, Brockel, Schauss,
&Miltenberger, 1992; Derby et al., 1992; Durand & Crimmins,
1988b, 1989;Sturmey, 1994; Zarcone, Rodgers, Iwata, Rourke, &
Dorsey, 1991) whichwas developed by Durand and Crimmins (1988a).
The_MotivationalAssessment Scale (1988) is a 16-item scale
administered to teachers. Theitems address four maintaining
consequences of the problem behavior,sensory stimulation, escape,
attention, and tangible reinforcement. Therefore,this scale does
not assess the setting events or antecedents that predict
theoccurrence of the problem behavior so the content validity is
lacking inregards to the assessment of setting events and
antecedents.
The Problem Behavior Questionnaire (Lewis & Sugai, 1994)
wasdeveloped to use with students in general education. There are
15 items onthis scale that are rated by the student's teacher. The
teacher rates each itemon a seven-point Likert scale that
represents the proportion of the time thatthe behavior is
problematic. The items indicate whether the problem behavioris
maintained by peer attention, teacher attention, escape from peer
attention,or escape from teacher attention. In addition, some items
address settingevents. Although this rating scale does not address
antecedents, therepresentation of the environmental variables that
influence the problembehavior are more thorough than the Motivation
Assessment Scale (1988).
The content validity of descriptive behavioral observationsIn
addition to interviews and rating scales, there are different types
ofbehavioral observational methods that describe the behavior in
the naturalenvironment that it occurs. For example, scatter plots
(Touchette,MacDonald, & Langer, 1985) are used to identify
settings and times in whichproblematic behavior occurs. However,
this technique does not sufficientlyrepresent antecedents or
consequences (Axelrod, 1987; Lerman & Iwata,1993). Abbreviated
forms that chart the antecedents, behavior, andconsequences over
time intervals are also used (Bijou, Peterson, & Ault,1968;
O'Neill, Horner, Albin, Sprague, Storey, & Newton, 1997).
The
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Functional Assessment Observation Form (O'Neill, Horner, Albin,
Sprague,Storey, & Newton, 1997) is a form that the teacher uses
to record thefrequency of antecedents, behaviors of concern, and
consequences across aweek using predetermined time intervals. This
format of FBA isrepresentative of the environmental variables of
interest and suggests goodcontent validity.
Another form of descriptive analysis uses time lag analysis.
This techniquedetermines the conditional probability of the
behavior occurring given theantecedents that precede the behavior
and consequences that maintain it(Emerson, Reeves, Henderson,
Robertson, & Howard, 1996; Gunter, Jack,Shores, Carrell, &
Flowers, 1993; Lerman & Iwata, 1993; Shores, Jack,Gunter,
Ellis, DeBriere, & Wehby, 1993). Time lag analysis has
beenconducted with laptop computers in real time (e.g., Emerson,
Reeves,Henderson, Robertson, & Howard, 1996; Gunter, Jack,
Shores, Carrell, &Flowers, 1993) and with partial interval
continuous behavior observationprocedures (Lerman & Iwata,
1993; Mace & Lalli, 1991). Time lag analysissystematically
evaluates antecedents, problem behaviors, and consequencesalthough
setting events are not systematically evaluated in this
procedure.Yet, the setting event would be determined prior to
conducting theobservation.
In summary of the content validity of the FBA instruments
described,the Functional Assessment Interview Form (1997) and the
Student-DirectedFunctional Assessment Interview Form (1997)
systematically coverinformation about setting events, antecedents,
and consequences that predictand maintain problem behaviors
suggesting adequate content validity. Bothof the rating scales, the
Motivational Assessment Scale (1988) and theProblem Behavior
Questionnaire (1994) are limited in the representation ofthe
environmental variables covered. The Motivational Assessment
Scale(1988) covers consequences that maintain problem behavior but
itemsregarding setting events and antecedents are not represented.
The ProblemBehavior Questionnaire (1994) covers both setting events
and consequencesalthough the relation between antecedents and the
problem behavior is notaddressed. The descriptive behavioral
observation methods, the FunctionalAssessment Observation Form
(1997) and time lag analysis, coverantecedents and consequences
that maintain problem behavior. TheFunctional Assessment
Observation Form (1997) also establishes settingevents with the
coverage of multiple situations that the student encounters.Taken
together, although there are FBA instruments that appear to
haveadequate content validity, further research is needed to
determine whichinstruments offer the best coverage of setting
events, antecedents, problem
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behaviors, and consequent events for students with average
intellectualability.
Validity Measures for the Interpretative PhaseIn the
interpretative phase of FBA, the information gathered during
thedescriptive phase is evaluated to formulate hypotheses about the
relationshipof the environmental variables with the problem
behavior (Cone, 1997). Theimportant measurement dimension at this
phase is the agreement betweenthe different methods and informants
to ensure validity. Convergent validityis established by
determining the level of agreement between the differentassessments
and informants used to generate the functional behavioralhypotheses
(Cone, 1997; Gresham & Noell, 1998). In the case where theFBA
yields disparate data about the setting events, antecedents,
andconsequences, generation of a functional hypothesis based on
thisinformation would lack convergent validity due to lack of
agreement betweenthe assessment methods used. The studies reviewed
below represent the bodyof work applicable to convergent validity
and school-aged children.
The convergent validity of interviewsReed, Thomas, Sprague, and
Horner (1997) investigated the agreement
between 10 middle-school students and their teachers on the
Student-DirectedFunctional Assessment Interview Form (1997).
Results of this investigationshowed the agreement between student
and teacher was 26% for settingevents, 77% for antecedent events,
85% for problem behaviors, and 77% formaintaining consequences,
with an overall agreement of 60%. This resultsuggests an overall
agreement that is low although the agreement with settingevents
influenced the overall agreement to a large extent. In addition,
theinterview also yielded a hypothesis statement pertaining to the
setting event,antecedent, and consequence identified in the
interviews. Results showed22% agreement between the students and
teachers for the full functionalbehavioral hypothesis statement.
When only the antecedent and maintainingconsequence of the behavior
were considered, students and teachers agreedon 65% of the
statements. Sixty-five percent agreement on the
functionalbehavioral hypotheses is considered too low to ensure
convergent validity.The interview also provides a section that
determines a behavioral supportplan to reduce the occurrence of the
problem behavior. Overall agreementfor the behavioral support plan
was 38%. The authors suggested that theoverall lack of agreement
for the behavioral support plans were due tostudents' biases in
regard to consequent management as the primary strategy
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to alter the occurrence of problem behavior. The convergent
validity betweenteachers' and students' rating of the environmental
variables, functionalhypotheses, and behavioral support plans are
too low to consider theinformation derived from this instrument
valid.
The convergent validity of interviews, rating scales, and
descriptivebehavioral analyses
The convergent validity of the Functional Analysis Interview
Form (1990),the Motivation Assessment Scale (1988), and the
Functional AnalysisObservation Form (1990) was reported by
Arndorfer, Miltenberger, Woster,Rortvedt, and Gaffaney (1994). This
study included five children, four ofwhich were five years of age
or less, and a 13 years old with Down'ssyndrome. Parents
participated in the functional interview, collected dataon the
antecedent, behavior, and consequences. The percentage of
agreementas to the maintaining function of the problem behavior was
80%. The onlyinstrument that reliably differed from the other
instruments was theMotivation Assessment Scale (1988). When it was
removed from thecalculation of agreement, the percentage rose to
93%. This result indicatesadequate convergent validity in regard to
the maintaining function of thebehavior although the instruments
were not used to assess the setting eventsor antecedents so
interventions based on manipulation of setting events orantecedents
would not be established.
In summary, two studies investigating the convergent validity of
FBAwere reviewed. Reed, Thomas, Sprague, and Homer (1997) reported
lowconvergent validity with teacher and student agreement with the
Student-Directed Functional Assessment Interview Form (1997) on the
antecedents,problem behavior, and maintaining consequences. The
agreement betweenthe teachers and students in regard to the
positive behavioral support wasquite low. An 80% agreement in the
identification of the maintainingconsequence was found when the
Functional Analysis Interview Form (1990),the Motivation Assessment
Scale (1988), and the Functional AnalysisObservation Form (1990)
were used to define the maintaining consequences(Arndorfer et al.,
1994). The agreement in the identification of themaintaining
consequences rose to 93% when the Motivation Assessment Scale(1988)
was eliminated from the analysis. However, Arndorfer et al.
(1994)only assessed consequent events. These studies suggest that
convergentvalidity has not been adequately demonstrated and further
research is neededto determine the convergent validity of the
different types ofFBA procedures(i.e., interviews, rating scales,
and descriptive analyses) in regard to
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identifying setting events, antecedents, problem behaviors,
andconsequences.
Validity Measures for the Verification PhaseVerifying the causal
relationship between the environmental variablesidentified in the
FBA procedures and the problem behavior is referred to asthe
verification phase (Cone, 1997). There are two validity issues in
regardto the verification phase of FBA: criterion validity and
treatment validity.
Criterion validity andfunctional behavioral assessmentCriterion
validity refers to how well the performance on one
assessmentcorresponds to the performance on another assessment of
interest (Ghiselli,Campbell, & Zedeck, 1981). In FBA, criterion
validity is achieved when theexperimental manipulation of the
identified environmental variables resultsin a change in the
behavior of concern. Clear differences in the pattern ofbehavior
response to the experimental manipulations suggest
functionalcontrol of the behavior (Cook & Campbell, 1979;
Kazdin, 1982). However,because single-subject data is most often
analyzed via visual inspection ofdata, subjective judgements can
affect the purported significance of thetreatment effect (e.g.,
DeProspero, & Cohen, 1979; Jones, Weinrott, &Vaught, 1978).
Therefore, some researchers have derived statistical tests
toanalysis single-subject data (Busk & Marascuilo, 1992;
Center, Skiba, &Casey, 1985-1986; Crosbie, 1993; Edgington,
1992; Levin & Wampold,1999).
Four statistical considerations are required in analyzing
single-subjectdata: the variability of the data, the change in
level between the baselineand treatment phases, thechange in slope
between baseline and treatmentphases,and the degree of
autocorrelation between successive data points(Center, Skiba, &
Casey, 1985-1986; Crosbie, 1987; 1993; Kazdin,
1982).Autocorrelation affects the statistical analysis of the data
across the repeatedmeasures because each successive datum point is
correlated withthepreceding datum point. Statistical analysis
without regard to autocorrelationresults in increased error in the
statistical significance (Crosbie, 1987; 1993).FBA hypotheses have
been verified with subsequent treatment
manipulations in school settings using visual inspection of
single-subjectdata for students with various problems (Broussard
& Northup, 1995; Dunlap,dePerczel, Clarke, Wilson, Wright,
White, & Gomez, 1994; Dunlap, Kern-Dunlap, Clarke, &
Robbins, 1991; Lewis & Sugai, 1996; Repp & Karsh,1994;
Umbreit, 1995). However, Martin, Gaffan, and Williams (1999)
haveshown that different criteria set forth by researchers yield
unreliable levels
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of statistical significance. Rigorous statistical analysis of
single-subject datais required to determine criterion validity.
Treatment validity andfunctional behavioral assessmentTreatment
validity refers to the degree that FBA provides beneficial
treatment outcomes compared to other methods of treatment (Cone,
1997;Gresham & Noell, 1998; Hayes, Nelson, & Jarrett,
1987). This requirestransforming single-subject data into an effect
size so comparisons betweenstudents in different treatment
conditions can be statistically analyzed. Aftereach treatment
outcome is transformed into an effect size, the
statisticaldifference between the treatment effectiveness of
different interventions canbe calculated using meta-analysis (Busk
& Serlin, 1992).
Two meta-analytic studies comparing the treatment effects of
interventionsderived from FBA and other interventions are
described. In the first study,Schill, Kratochwill, and Elliott
(1998) compared the treatment effectivenessof FBA to the treatment
effectiveness of a self-help technical assistanceprocedure using a
behavioral consultation model (BC; Bergan & Kratochwill,1990).
In this study, 19 Head Start students were randomly assigned to
aFBA consultation condition or a BC condition. In the FBA
condition, theconsultants performed a problem identification
interview (Bergan &Kratochwill, 1990) with the teacher and
parent to identify the problembehavior and environmental conditions
surrounding the behavior. Followingthe problem identification
interview, the consultants administered theMotivation Assessment
Scale (1988) to the teacher and also conducted
anantecedent-behavior-consequence descriptive analysis using the
FunctionalAnalysis Observation Form (1990). The consultants used
the informationtaken from these data sources to develop a
preliminary functional behavioralhypothesis. Then the consultant
conducted a problem analysis interview(Bergan & Kratochwill,
1990) with the teacher to develop a treatment planbased on the FBA
data. The teacher implemented the intervention. In theBC condition,
the consultant conducted the problem identification interviewand
behavioral observations in the classroom setting. Based on
thisinformation, the teachers were given a self-help manual
designed to providepractical classroom interventions that the
teacher could use independently.
Treatment outcome was evaluated using an AB design (baseline
followedby intervention). Effect size was calculated using the mean
differencebetween the baseline and treatment phases divided by the
baseline standarddeviation. The average effect size for the FBA
condition was .84 and theaverage effect size for the BC condition
was .52. However, the effect sizedifference was not statistically
significant. Although the difference in the
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magnitude of these effect sizes would suggest a significant
difference, thelack of power due to the limited number of subjects
and the individualvariability across the different treatments
decreased the probability of findingstatistical significance. In
addition, analyzing the data with the meandifference between the
baseline and treatment phases does not adequatelyaddress the
autocorrelation effect or change in slope.
Stage and Quiroz (1997) conducted a meta-analysis of 99 studies
usingdifferent treatments to reduce disruptive classroom behavior.
They used theInterrupted Time Series Autocorrelation statistical
program (ITSACORR;Crosbie, 1993) with the single-subject data. The
ITSACORR programprovides a statistical test for the change in level
between baseline andintervention phases, a statistical test for the
change in slope between thebaseline and intervention phases, as
well as controlling for autocorrelation.Stage and Quiroz (1997)
converted the t-score of the change in level fromeach
single-subject analysis to an effect size using a formula derived
byGlass, McGaw, and Smith (1981) after checking for a significant
change inslope. Stage and Quiroz (1997) obtained 223 effect sizes.
They tested thedifference in treatment effectiveness between 16
different interventions.When the magnitude of the effect sizes is
rank-ordered across the 16
different interventions described, FBA-based interventions (ES =
.51) rankedthirteenth out of sixteen in its level of effectiveness.
This descriptive statisticindicates that many other interventions
demonstrated a stronger influenceon the reduction of disruptive
classroom behavior than the interventionsbased on FBA. The three
interventions that approached one standarddeviation above the
baseline condition were group contingencies (ES =
1.02),self-management (ES = .97), and differential reinforcement
(ES = .95).However, the only statistically significant difference
was between groupcontingencies (i.e., ES = 1.02) and
cognitive-behavioral interventions (ES= .36). The meta-analysis
results indicate that there is a great deal ofvariability with
regard to treatment effectiveness of interventions used todecrease
disruptive behavior. However, FBA has not provided greatertreatment
effectiveness than other behavioral interventions
usingcontingency-based reinforcement.
Taken together, the results of two studies using meta-analytic
techniquessuggest that FBA-based interventions have treatment
validity although theseprocedures have not evidenced greater
changes in problem behavior thanother interventions. However, the
number of studies using FBA with studentsin public education is
quite limited at this time. Further research is requiredto
determine the treatment validity with a representative group of
studentswith average intellectual ability.
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Social and Habilitative ValiditySocial validity refers to
relevance of the goals of an intervention, the
acceptability of the intervention procedures, and the
satisfaction of the effectsproduced by the intervention (Wolf,
1978). The most typical form ofassessment of social validity is a
questionnaire or rating scale given afterthe program has been
implemented. Some researchers have questioned theauthenticity of
these types of assessments due to the social demands placedon the
recipients of the services (Schwartz & Baer, 1991). Schwartz
(1991)described the importance of studying consumer behavior as a
decision-makingprocess. Authentic assessment would include
assessing theacceptability of each phase of the FBA process with
verbal statements madeduring the discussion of the procedures by
parents, teachers, and students inaddition to paper-and-pencil
assessment. During the descriptive phase, allconsumers should be
involved in gathering information about the problembehavior. During
the interpretative phase, consumers should providehypotheses about
the predicting events and maintaining consequences ofthe problem
behavior. Finally, during the verification phase consumers
shouldevaluate the outcomes.
Predominantly, FBA research has evaluated teachers'
acceptability of theinterventions used in their classrooms (Clarke
et al., 1995; Sasso et al., 1992;Umbreit, 1995), measuring teacher
acceptance at the verification phase. Onestudy investigated
teachers' acceptance during the descriptive phase(Broussard &
Northup, 1995). One study evaluated both teacher and
students'rating of the behavior problem and intervention used,
thus, assessing thesocial validity at the verification phase
(Umbreit, 1995). In summary,although FBA procedures do not appear
to lack social validity, the assessmenthas predominately relied on
teacher rating-scales given during theverification phase of the
FBA. Parents have not been involved in the decision-making process
towards the development of the behavioral support plan,and
therefore, the authenticity of these ratings may be questionable.
It isextremely important to include parents in this process.
Research isdesperately needed in this area to insure parents,
teachers, and students aregiven an active role in determining the
positive behavioral support plansused.
In addition to social validity, Hawkins (1991) described the
concept ofhabilitative validity suggesting that goals, procedures,
and outcomes shouldbe evaluated in terms of a broader context than
simply a change in the targetbehavior. The habilitative validity of
a treatment would suggest that theclients' success further impacted
their functioning at school, at home, andin the community. In
regards to FBA, reduction in problem behavior should
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also evidence a reduction in disciplinary actions taken with the
student. Byproviding adequate positive behavioral supports, the
student's problematicbehavior would be reduced in all areas of the
school community, therefore,reducing the number of disciplinary
actions taken with him or her. Therewere no studies found that
speak to the habilitative validity of positivebehavioral support
plans. Research is needed to address the associationbetween FBA and
discipline actions taken with students.
ConclusionThe validity of FBA with students with average
intellectual ability wasreviewed. The effectiveness of FBA
procedures is well established withpersons with severe and profound
intellectual disabilities (Blakeslee, Sugai,& Gruba, 1994;
Derby et al., 1992; Gresham, Quinn, & Restori, 1999; Iwataet
al., 1994). However, the generalization of these procedures to
studentswith average intellectual ability in public education
settings is limited.Students of color are absent in these studies,
and students in middle andhigh school are not represented. Further
research with these populationswithin public education settings is
needed to establish the external validityof these procedures.
The three phases of FBA were evaluated in terms of validity
indicesrequired at each phase. The descriptive phase requires use
ofFBA instrumentsthat cover the entire content of the behavior
domains of interest, namely,setting events, antecedents,
problematic behaviors, and consequences.Commonly used interviews,
rating scales, and descriptive behavioralobservation techniques
were reviewed. Interviews and descriptive behavioralobservation
methods appear to offer the most complete coverage, andtherefore,
possess content validity. However, further research should
beconducted to develop other instruments. Practitioners would
benefit fromhaving numerous instruments with content validity.
During the interpretive phase, functional behavioral hypotheses
aredevised using the instruments used in the descriptive phase.
Convergentvalidity of the hypotheses derived from the different
descriptive instrumentsand different informants ensures agreement
about the setting events andantecedents that predict the occurrence
of the problem behavior as well asthe consequences that maintain
the problem behavior. At this time, there noevidence to suggest
that convergent validity has been established withdifferent
informants using different methods. Research is desperately
neededin this area. With little agreement between the participants
using differentFBA procedures, capricious hypotheses are likely to
result, rendering theassessment process useless.
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In the verification phase, criterion validity has typically been
establishedusing visual inspection of single-subject data (Kazdin,
1982). In the casewhere there is a robust difference in the level
of behavior between the baselineand treatment conditions, this will
suffice. However, many single-subjectdata patterns are not so
obvious. Use of statistical procedures such as theInterrupted Time
Series Autocorrelation statistical program (ITSACORR;Crosbie, 1993)
can provide a rigorous statistical test of establishing that
thecriterion has been met. In addition to criterion validity,
treatment validitywas discussed in terms of the effects of
FBA-based interventions versusother interventions. At this time,
for students with average intellectual ability,interventions based
on contingency management without prior FBA are morerobust.
However, these results are based on a limited number of
studies.Further research will undoubtedly determine the utility of
FBA-basedinterventions with this population.
In addition to the validity indices reviewed in the three phases
of FBA,social validity and habilitative validity were discussed.
Given the limitedresearch to guide the practice of conducting FBA
with students with averageintellectual ability, it would appear
that the most ethical practice wouldincorporate social validity
measures during the FBA process. As discussedby Schwartz (1991),
incorporating the consumer in the decision makingprocess ensures
social validity. During each phase of the FBA, the parents,student,
and teacher would actively be engaged in the description of
theproblem, the interpretation of the description, and the
verification that thepositive behavioral support plan is providing
in the desired outcome. Theultimate goal of a FBA-based positive
behavioral support plan is to increasethe student's behavioral
functioning at school, home, and community, andthus demonstrate
habilitative validity. In regard to IDEA '97, FBA-basedpositive
behavioral support plans should evidence a reduction in the
numberof disciplinary actions taken with the students who receive
services basedon FBA.
ReferencesAmerican Educational Research Association and National
Council on Measurement in Education (1985).
Standards for educational and psychological tests. Washington
DC: American PsychologicalAsociation.
American Psychological Association Ethics Committee (1992).
Ethical principles of psychologists andcode of conduct. American
Psychologist, 47, 1597-1611.
Anastasi, A. (1976). Psychological testing (4" ed.). NY:
MacMillian.Anderson, C. M., Freeman, K. A., & Scotti, J. R.
(1999). Evaluation of the generalizability (reliability
and validity) of analog functional assessment methodology.
Behavior Therapy, 30, 31-50.Arndorfer, R. E., Miltenberger, R. G.,
Woster, S. H., Rortvedt, A. K., & Gaffaney, T. (1994).
Home-
based descriptive and experimental analysis of problem behaviors
in children. Topics in EarlyChildhood Special Education, 14,
64-87
80 S. A. Stage
at Alexandru Ioan Cuza on June 3, 2015cjs.sagepub.comDownloaded
from
-
Axelrod, S. (1987). Functional and structural analyses of
behavior: Approaches leading to reduced useof punishment
procedures? Research in Developmental Disabilities, 8, 165-178.
Becker, W. C., Madsen, C. H., & Arnold, C. R. (1967). The
contingent use of teacher attention andpraise in reducing classroom
behavior problems. Journal of Special Education, 1, 287-307.
Bergan, J. R. & Kratochwill, T. R. (1990). Behavioral
consultation and therapy. New York, NY: PlenumPublishing
Corporation.
Bijou, S. W., Peterson, R. F., & Ault, M. H. (1968). A
method to integrate descriptive and experimentalfield studies at
the level of data and empirical concepts. Journal ofApplied
Behavior Analysis, 1,175-191.
Blakeslee, T., Sugai, G., & Gruba, J. (1994). A review of
functional assessment use in data-basedintervention studies.
Journal of Behavioral Education, 4, 397-413.
Broussard, C. D. & Northup, J. (1995). An approach to
functional assessment and analysis of disruptivebehavior in regular
education classrooms. School Psychology Quarterly, 10, 151-164.
Busk, P. L., & Maracuilo, L. A. (1992). Statistical analysis
in single-case research: Issues, procedures,and recommendations,
with applications to multiple behaviors. In T. R. Kratochwill and
J. R. Levin(Eds.0), Single-case research design and analyses (pp.
159-185). Hillsdale, NJ Lawrence Erlbaum.
Busk, P. L., & Serlin, R. C. (1992). Meta-analysis for
single-case research. In T. R. Kratochwill and J.R. Levin (Eds.),
Single-case research design and analyses (pp. 187-212). Hillsdale,
NJ: LawrenceErlbaum.
Carr, E. G., Levin, L., McConnachie, G., Carlson, J. I., Kemp,
D. C., & Smith, C. E. (1994).Communication-based intervention
for problem behavior. Baltimore, MD: Brookes Publishing, Co.
Center, B. A., Skiba, R. J., & Casey, A. (1985-86). A
methodology for the quantitative synthesis ofintra-subject design
research. Journal of Special Education, 19, 387-400.
Clarke, S., Dunlap, G., Forster-Johnson, L., Childs, K. E.,
Wilson, D., White, R., & Vera, A. (1995).Improving the conduct
of students with behavioral disorders by incorporating student
interests intocurricular activities. Behavioral Disorders, 20,
221-237.
Cone, J .D. (1997). Issues in functional analysis in behavioral
assessment. Behavioral Research &Therapy, 35, 259-275.
Cook, T. D., & Campbell, D. T. (1979).
Quasi-experimentation: Design an analysis issues for fieldsettings.
Boston, MA: Houghton, Mifflin.
Crawford, J., Borkel, B., Schauss, S., & Miltenberger, R. G.
(1992). A comparison of methods for thefunctional assessment of
stereotypic behavior. Journal of the Association for Persons with
SevereHandicaps, 17, 77-86.
Crosbie, J. (1987). The inability of the binomial test to
control type I error with single-subject data.Behavioral
Assessment, 9, 141-150.
Crosbie, J. (1993). Interrupted time-series analysis with brief
single-subject data. Journal ofConsulting & Clinical
Psychology, 61, 966-974.
DeProspero, A., & Cohen, S. (1979). Inconsistent visual
analyses of intrasubject data. Journal ofApplied Behavior Analysis,
12, 573-579.
Derby, K. M., Wacker, D. P., Sasso, G., Steege, M., Northup, J.,
Cigrand, K., & Asmus, J. (1992). Brieffunctional assessment
techniques to evaluate aberrant behavior in an outpatient setting:
A summaryof 79 cases. Journal ofApplied Behavior Analysis, 25,
713-721.
Dunlap, G., de-Perczel, M., Clarke, S., Wilson, D., Wright, S.,
White, R., & Gomez, A. (1994). Choicemaking to promote adaptive
behavior for students with emotional and behavioral
challenges.Journal ofApplied Behavior Analysis, 27, 505-518.
Dunlap, G., & Kern, L. (1996). Modifying instructional
activities to promote desirable behavior: Aconceptual and practical
framework. School Psychology Quarterly, 11, 297-312.
Dunlap, G., Kern, L., de-Perczel, M., Clarke, S., Wilson, D.,
Childs, K. E., White, R., & Falk, G. D.(1993). Functional
analysis of classroom variables for students with emotional and
behavioraldisorders. Behavioral Disorders, 18, 275-291.
Dunlap, G., Kern-Dunlap, L., Clarke, S., & Robbins, F. R.
(1991). Functional assessment, curricularrevision and severe
behavior problems. Journal ofApplied Behavioral Analysis, 24,
387-397.
Durand, V. M., & Crimmins, D. B. (1988a). The motivation
assessment scale an administration manual.Albany, NY: State
University of New York.
Durand, V. M., & Crimmins, D. B. (1988b). Identifying the
variables maintaining self-injuriousbehavior. Journal ofAutism and
Developmental Disorders, 18, 99-117.
Functional Behavioral Assessment 81
at Alexandru Ioan Cuza on June 3, 2015cjs.sagepub.comDownloaded
from
-
Edgington E. S. (1992). Nonparametric tests for single-case
experiments. In T. R. Kratochwill and J. R.Levin (Eds.),
Single-case research design and analyses (pp. 133-157). Hillsdale,
NJ: LawrenceErlbaum.
Emerson, E., Reeves, D., Thompson, S., Henderson, D., Robertson,
J., & Howard, D. (1996). Time-basedlag sequential analysis and
the functional assessment of challenging behavior. Journal of
IntellectualDisability Research, 40, 260-274.
Fox, J., Conroy, M., & Heckaman, K. (1998). Research issues
in functional assessment of the challengingbehaviors of students
with emotional and behavioral disorders. Behavioral Disorders, 24,
26-33.
Gable, R. A. (1996). A critical analysis of functional
assessment: Issues for researchers and practitioners.Behavioral
Disorders, 24, 36-40.
Gable, R. A. (1999). Functional assessment in school settings.
Behavioral Disorders, 24, 246-248.Ghiselli, E. E., Campbell, J. P.,
& Zedeck,S. (1981). Measurement theory for the behavioral
sciences. San
Francisco, CA: W. H. Freeman and Co.Glass, G. V., McGaw, B.,
& Smith, M. L.(1981). Meta-analysis in social research. Beverly
Hills, CA:
Sage.Gresham, F. M., & Noell, G. H. (1998). Functional
analysis assessment as a cornerstone for noncategorical
special education. In D. J. Reschly, W. D. Tilly, &, J. P.
Grimes (Ed.s). Functional and noncategoricalidentification and
intervention in special education (pp. 39-64). Des Moines: IA: Iowa
State Dept. ofEd.
Gresham, F. M., Quinn, M. M., & Restori, A. (1999).
Methodological issues in functional analysis:Generalizability to
other disability groups. Behavioral Disorders, 24, 180-182.
Gunter, P. L., Jack, S. L., Shores, R. E., Carrell, E., &
Flowers, J. (1993). Lag sequential analysis as atool for functional
analysis of student disruptive behavior in classrooms. Journal of
Emotional andBehavioral Disorders, 1, 138-148.
Hayes, S. C., Nelson, R.O., & Jarrett, R. B. (1987). The
treatment utility of assessment: A functionalapproach to evaluating
assessment quality. American Psychologist, 42, 963-974.
Haynes, S. N., & O'Brien, W. H. (1990). Functional analysis
in behavior therapy. Clinical PsychologyReview, 10, 649-668.
Horner, R. H., & Carr, E.G. (1997). Behavioral support for
students with severe disabilities: Functionalassessment and
comprehensive intervention. Journal of Special Education, 31,
84-104.
Individuals with Disabilities Education Act Amendments of 1997,
PL 105-17, 105th Congress,1st Session.Iwata, B. A., Pace, G. M.,
Dorsey, M. F., Zarcone, J. R., Vollmer, T. R., Smith, R. G.,
Rodgers, T. A.,
Lerman, D. C., Shore, B. A., Mazaleski, J. L., Goh, H-L.,
Cowdery, G. E., Kalsher, M. J., McCosh, K.C., & Willis, K. D.
(1994). The functions of self-injurious behavior: An
experimental-epidemiologicalanalysis. Journal of Applied Behavior
Analysis, 27, 215-240.
Jones, R. R., Weinrott, M. R., & Vaught, R.S. (1978).
Effects of serial dependency on the agreementbetween visual and
statistical inference. Journal of Applied Behavior Analysis, 11,
277-283.
Kazdin, A. E. (1982). Single-case research designs: Methods for
clinical and applied settings. NY: OxfordUniversity Press.
Kern, L. Childs, K. E., Dunlap, G., Clarke, S. & Falk, G. D.
(1994). Using assessment-based curricularintervention to improve
the classroom behavior of a student with emotional and behavioral
challenges.Journal ofApplied Behavior Analysis, 27, 7-19.
Kern, L., Dunlap, G., Clarke, S., & Childs, K. E. (1994).
Student-assisted functional assessmentinterview. Diagnostique, 19,
29-39.
Lerman, D. C., & Iwata, B.A. (1993). Descriptive and
experimental analyses of variables maintainingself-injurious
behavior. Journal ofApplied Behavior Analysis, 26, 293-319.
Levin, J. R., & Wampold, B. E. (1999). Generalized
single-case randomization tests: Flexible analyses fora variety of
situations. School Psychology Quarterly, 14, 59-93.
Lewis, T.J. & Sugai, G. (1996). Descriptive and experimental
analysis of teacher and peer attention and
the use of assessment-based intervention to improve pro-social
behavior. Journal of BehavioralEducation, 6, 7-24.
Lewis, T J., Scott, T. M., & Sugai, G. (1994). The problem
behavior questionnaire: A teacher-basedinstrument to develop
functional hypotheses of problem behavior in general education
classrooms.Diagnostique, 19, 103-115.
Linehan, M. M. (1980). Content validity: Its relevance to
behavioral assessment. Behavioral Assessment,2, 147-159.
82 S.A. Stage
at Alexandru Ioan Cuza on June 3, 2015cjs.sagepub.comDownloaded
from
-
Functional Behavioral AssessmentMace, F. C., & Lalli, J. S.
(1991). Linking descriptive and experimental analyses in the
treatment of
bizarre speech. Journal ofApplied Behavior Analysis, 24,
553-562.Martin, N. T., Gaffan, E. A., & Williams, T. (1999).
Experimental functional analyses for challenging
behavior: A study of validity and reliability. Research in
Developmental Disabilities, 20, 125-146.Messick, S. (1988). The
once and future issues of validity: Assessing the meaning and
consequences of
measurement. In H. Wainer and H. I. Braun (Eds.), Test validity
(pp. 33-48). Hillsdale, NJ: Erlbaum.Messick, S. (1995). Validity of
psychological assessment: Validation of inferences from
persons'
responses and performances as scientific inquiry into score
meaning. American Psychologist, 50, 741-749.
National Institute of Health (1989, September). Treatment of
destructive behaviors. Abstract presented atthe National Institutes
of Health, Consensus Development Conference, Rockville, MD.
National Association of School Psychologists (1992). Principles
for professional ethics. Silver Spring,MD: NASP Publications.
Nelson, J. R., Roberts, M. L., Mathur, S. R., & Rutherford,
Jr., R. B. (1999). Has public police exceededour knowledge base? A
review of the functional behavioral assessment literature.
BehavioralDisorders, 24, 169-179.
O'Neill, R. E., Horner, R. H., Albin, R. W., Sprague, J. R.,
Storey, K. & Newton, J. S. (1997). Functionalassessment and
program developmentfor problem behavior. Pacific Grove, CA:
Brooks/ColePublishing Company.
O'Neill, R. E., Horner, R. H., Albin, R. W., Storey, K. &
Sprague, J. R. (1990). Functional analysis ofproblem behaviors: A
practical assessment guide. Sycamore, IL: Sycamore, Pub. Co.
O'Reilly, M. F. (1995). Functional analysis and treatment of
escape-maintained aggression correlated withsleep deprivation.
Journal ofApplied Behavior Analysis, 28, 225-226.
Reed, H., Thomas, E., Sprague, J. R., & Horner, H. (1997).
The student guided functional assessmentinterview: An analysis of
student and teacher agreement. Journal ofBehavioral Education, 7,
33-49.
Repp, A .C., & Karsh, K. G. (1994). Hypothesis-based
interventions for tantrum behaviors of persons withdevelopmental
disabilities in school settings. Journal ofApplied
BehaviorAnalysis, 27, 21-31.
Sasso, G. M., Reimers, T. M., Cooper, L. J., Wacker, D., Berg,
W., Steege, M., Kelly, L., & Allaire, A.(1992). Use of
descriptive and experimental analyses to identify the functional
properties of aberrantbehavior in school settings. Journal
ofApplied Behavior Analysis, 25, 809-821.
Schill, M. T., Kratochwill, T. R., & Elliott, S. N. (1998).
Functional assessment in behavioral consultation:A treatment
utility study. School Psychology Quarterly, 13, 116-140.
Schwartz, I. S. (1991). The study of consumer behavior and
social validity: An essential partnership forapplied behavior
analysis. Journal ofApplied Behavior Analysis, 24, 241-245.
Schwartz, I. S., & Baer, D. M. (1991). Social validity
assessments: Is current practice state of art? JournalofApplied
Behavior Analysis, 24, 189-204.
Shores, R. E., Jack, S. L., Gunter, P. L., Ellis, D. N.,
DeBriere, T. J., & Wehby, J. H. (1993). Classroominteractions
of children with behavior disorders. Journal of Emotional and
Behavioral Disorders, 1,27-39.
Stage, S. A., & Quiroz, D. R. (1997). A meta-analysis of
interventions to decrease disruptive classroombehavior in public
education settings. School Psychology Review, 26, 333-368.
Sturmey, P. (1994). Assessing the functions of aberrant
behaviors: A review of psychometric instruments.Journal ofAutism
and Developmental Disorders, 24, 293-304.
Tobin, T. (1994). Recent developments in functional assessment:
Implications for school counselors andpsychologists. Diagnostique,
19, 5-28.
Tobin, T. J. & Sugai, G. M. (1999). Discipline problems,
placements, and outcomes for students withserious emotional
disturbance. Behavioral Disorders, 24, 109-121.
Touchette, P. E., MacDonald, R. F., & Langer, S. N. (1985).
A scatterplot for identifying stimulus controlof problem behavior.
Journal ofApplied Behavior Analysis, 18, 343-35 1.
Umbreit, J. (1995). Functional assessment and intervention in a
regular classroom setting for thedisruptive behavior of a student
with attention deficit hyperactivity disorder. Behavioral
Disorders,20, 267-278.
U.S. Department of Education (1994). Implementation of the
individuals with disabilities education act:Sixteenth annual report
to congress.
83
at Alexandru Ioan Cuza on June 3, 2015cjs.sagepub.comDownloaded
from
-
84 S. A. Stage
Vollmer, T. R., Marcus, B. A., Ringdahl, J. E., & Roane, H.
S. (1995). Progressing from brief assessmentsto extended
experimental analyses in the evaluation of aberrant behavior.
Journal ofApplied BehaviorAnalysis, 28, 561-576.
Wahler, R. G., & Fox, J. J. (1981). Settings events in
applied behavior analysis: Toward a conceptual andmethodological
expansion. Journal ofApplied Behavior Analysis, 14, 327-338.
Wolf, M. M. (1978). Social validity: The case for subjective
measurement on how applied behavioranalysis is finding its heart.
Journal ofApplied Behavior Analysis, 11, 203-214.
Yell, M. L. (1997). The IDEA Amendments of 1997: Implications
for special and general educationteachers, administrators, and
teacher trainers. Focus on Exceptional Children, 30, 1-19.
Yell, M. L., & Shriner, J. G. (1998). The discipline of
students with disabilities: Requirements of theIDEA amendments of
1997. Education and Treatment of Children, 21, 246-257.
Zarcone, J. R., Rodgers, T. A., Iwata, B. A., Rourke, D. A.,
& Dorsey, M. F. (1991) Reliability analysis ofthe motivation
assessment scale: A failure to replicate. Research in Developmental
Disabilities, 12,349-360.
at Alexandru Ioan Cuza on June 3, 2015cjs.sagepub.comDownloaded
from