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AN EVALUATION OF SOCIAL SKILL
INTERVENTION EFFECTS USING THE
SKILLSTREAMING CURRICULUM
By Katie Kolbe-Holden
BS Pennsylvania State University, 2005
MEd California University, 2008
A DISSERTATION
Submitted in Partial Fulfillment of the
Requirement for the Degree of
Doctor of Psychology
(in School Psychology)
The University of Southern Maine
June, 2017
Advisory Committee:
Rachel Brown, Ph.D., NCSP, Associate Professor, Emerita, Adviser
Christina Flanders, Psy.D., NCSP, Assistant Professor, Plymouth State University
Jamie Pratt, Psy.D., BCBA-D, Assistant Professor, University of Southern Maine
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Copyright © 2017 Katie Kolbe-Holden
All Rights Reserved.
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LIBRARY RIGHTS STATEMENT
In presenting this dissertation, AN EVALUATION OF SOCIAL SKILL MAINTENANCE
USING THE SKILLSTREAMING CURRICULUM, in partial fulfillment of the requirements
for an advanced degree at the University of Southern Maine, I agree that the Library
shall make it freely available for inspection. I further agree that permission for copying,
as provided for by the Copyright Law of the United States (Title 17, U.S. Code), of this
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publications of this Dissertation for financial gain shall not be allowed without my
written permission. I hereby grant permission to the University of Southern Maine
Library to use my Dissertation for Scholarly purposes.
Signature: Katie Kolbe-Holden Date: _______6/12/2017________
Katie Kolbe-Holden
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AN EVALUATION OF SOCIAL SKILL INTERVENTION EFFECTS
USING THE SKILLSTREAMING CURRICULUM,
Katie Kolbe-Holden, M. Ed.
Dissertation Advisor: Rachel Brown
An Abstract of the Dissertation Submitted in Partial Fulfillment of the Requirements for
the Degree of Doctor of Psychology (in School Psychology)
University of Southern Maine
May 2017
Social skill deficits have been associated with not only social problems, but also
academic underachievement and further mental health problems. This study
investigated whether social skills training using the Skillstreaming curriculum was
associated with generalization of the instructed skills in other environments in the same
school. In addition, the study evaluated whether reductions in office discipline
referrals (ODRs), and increases in prosocial skills were observed on program-specific
(e.g., Skillstreaming) and the Social, Academic, and Emotional Behavior Screening
Scale (SAEBRS). This study was developed to be part of the school’s multi-tier
system of support (MTSS) for students with academic and behavior difficulties. An
MTSS includes increasingly intensive instruction and intervention for students whose
universal screening data indicate a need for assistance in order to meet school district
or state learning goals.
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Selected fifth graders attending an elementary school in the Northeast were
selected for this study based on their scores on the Social, Academic, and Emotional
Behavior Screening Scale (SAEBRS; FastBridge Learning, 2017). The students’
scores were confirmed by their classroom teachers as indicative of a need for Tier 2
social skills intervention. Those nominated students whose parents provided informed
consent and who themselves gave assent were enrolled in the study. The participants
then completed additional assessments to confirm intervention need and to identify
specific learning goals. The participants attended regular small group intervention
sessions utilizing Skillstreaming the Elementary School Child during their lunch
periods.
Intervention outcomes were evaluated using multiple direct observations of the
students’ behaviors across diverse settings, ODR counts for each participant, pre- and
post-intervention administrations of the Skillstreaming program checklist, and a post-
intervention administration of the SAEBRS. Social skill measures and ODR counts
will be conducted pre and post intervention. Results indicated that the intervention did
not result in meaningful changes in the participants’ social skills across the observed
settings. Nonetheless, teacher ratings from pre- and post-intervention indicated that
the students’ social skills did improve over the course of the intervention. The results
are discussed in relation to the challenges related to behavior intervention and
expectancy effects.
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ACKNOWLEDGMENTS
First, thank you to Dr. Rachel Brown for assisting me along the way with this
dissertation, continued support through the Psy. D. program and for guiding me through
my last couple of years of this program even with my major life change, my son Ellis.
Thank you to my committee members, Dr. Christina Flanders and Dr. Jamie Pratt, for
participating in this project and all of the reading that it entails. Also, thank you to
Christina for providing me with supervision, skills, and encouragement early in the
program.
I would also like to express gratitude to my internship supervisor Dr. Laurie
Brodeur for her wealth of knowledge and skills she was able to pass along to me. Also,
for her understanding throughout the school year as I navigated full time work with an
infant. Thank you to the school, colleagues, and the students who participated to make
this project possible.
I am grateful to my husband Ryan for supporting through my many years of
schooling and to my son Ellis for learning to sleep through the night at an early age,
which allowed me to complete all of this work! Last, thank you to my mom, my dad, and
mother-in-law for helping us get through all of the life changes that we have encountered
in a short few years.
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TABLE OF CONTENTS
LIST OF TABLES ........................................................................................................... viii
LIST OF FIGURES ........................................................................................................... ix
CHAPTER 1: INTRODUCTION & LITERATURE REVIEW ....................................... 10 Implications of Underdeveloped Social Skills .............................................................. 11 Evidence-Based Interventions for Social Skills ............................................................ 14
CHAPTER 2: METHOD .................................................................................................. 20 Participants .................................................................................................................... 20 Setting ........................................................................................................................... 20 Materials ........................................................................................................................ 20
Dependent measures ................................................................................................. 21 Procedures ..................................................................................................................... 23
CHAPTER 3: RESULTS .................................................................................................. 27 Treatment Integrity ....................................................................................................... 27 Students’ Weekly Self-Ratings ..................................................................................... 28 SkillStreaming Checklist Ratings .................................................................................. 29 Direct Behavior Ratings ................................................................................................ 29 Office Discipline Referrals ........................................................................................... 34 SAEBRS Scores ............................................................................................................ 35 Social Validity Results .................................................................................................. 36
CHAPTER 4: DISCUSSION ............................................................................................ 37 Limitations and Future Research .................................................................................. 42
CHAPTER 5: SUMMARY ............................................................................................... 46
REFERENCES .................................................................................................................. 47
Appendix A: Skillstreaming Checklists ............................................................................ 55
Appendix B: SAEBRS (Teacher) Items ............................................................................ 75
Appendix C: Sample DBR Items ...................................................................................... 76
Appendix D: ODR Tracking Form ................................................................................... 77
Appendix E: Social Validity Scale for Teachers and Students ......................................... 78
Appendix F: Treatment Integrity Checklist ...................................................................... 79
Appendix G: Sample Skillstreaming Schedule and Lesson .............................................. 82
Appendix H: Group Self-Rating Report ........................................................................... 86
BIOGRAPHY OF THE AUTHOR ................................................................................... 87
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LIST OF TABLES
Table 1. Tiered Approach to Social Skill Training………………..………………….…15
Table 2. Social Outcome Intervention and Effect Sizes……………………………..…..16
Table 3. Participants’ Sex, Age, Grade, and Behavior Needs……….…………………..27
Table 4. Intervention Attendance, Goals, and Actual Attendance……………….………28
Table 5. Student and Teacher Pre- and Post- Intervention Skill Rating…………………30
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LIST OF FIGURES
Figure 1. Student Self-Assessment of Skills…………………………………..…………28
Figure 2. DBR Ratings…………………………………………………………………..33
Figure 3. Office Discipline Referrals (ODR) by Month……………………………...….34
Figure 4. Overall SAEBRS Score and Social SAEBRS Scores……………………..…..35
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CHAPTER 1: INTRODUCTION & LITERATURE REVIEW
Children's peer relationships have a significant effect on childhood experiences.
In fact, some researchers suggest that later psychosocial adjustment depends on these
relationships (La Greca & Santogrossi, 1980). Children and adults perceive those who
are not able to successfully negotiate peer relationships as different, which can lead to
psychosocial maladjustment. Students who are perceived as different from the
majority can become targets or victims of violence (Dwyer, Osher & Warger, 1998).
Psychologists and other mental health professionals have examined what could prevent
students from lashing out in violence. It has been hypothesized that social emotional
learning through social skill instruction can increase pro-social skills (Taub, 2001) thus
decreasing aggressive behaviors that are often seen in children who need remediation
in social cognitive skills (August, Egan, Realmuto & Hektner, 2003).
Many methods have been employed to teach children prosocial skills. Some of
those methods include reinforcement of appropriate behaviors, social skill training
programs, utilizing peers as part of teaching (Sasso, Melloy & Kavale, 1990) and
social emotional curricula. Social skills training and social emotional curricula teach
pro-social replacement behaviors for the inappropriate behaviors a child might be
displaying that interfere with his or her daily functioning in social situations (Nedim
Bal, 2015). Social emotional curricula provide primary prevention programs to teach
prosocial skills to students. One program that has shown promising effects is called
Second Step. Second Step is a Tier I, dual language (English and Spanish),
intervention to reduce aggression and promote social competencies (Frey, Miriam,
Hirschstein & Guzzo, 2000). Another program utilized as primary prevention to teach
prosocial skills is called Strong Kids by Kenneth Merrell (2007). This program is a
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series of 12 lessons that focus on teaching social-emotional skills, coping strategies
and replacement behaviors for inappropriate behaviors (Gueldner & Merrell, 2011). A
third such program, the Quest for the Golden Rule, is a computer- based program that
coaches and facilitates social skill learning to navigate bullying situations (Rubin-
Vaughan, Pepler, Brown & Craig, 2011). Consistent with the response to intervention
system, when primary prevention programs are in place it is hypothesized that 80% of
the students will respond at the primary prevention level (Abbott & Wills, 2012).
Students who do not respond adequately may be included in a social skills training
program. Social skills training programs utilize modeling, instruction, rehearsal and
feedback to help students improve target social skills (Sasso et al., 1990).
Implications of Underdeveloped Social Skills
Children’s social skills develop in social environments through interactions
with peers and adults. Children with underdeveloped social skills often display mental
health problems such as internalizing or externalizing disorders (Albrecht, Mathur,
Jones & Alazemi, 2015). Internalizing disorders can include anxiety and depression.
Externalizing disorders include aggressive behaviors such as bullying, frequent
tantrums, and physical aggression. These children tend to have co-occurring disorders,
and as they grow older substance abuse can be a concern (Nedim Bal, 2015).
Students with underdeveloped social skills also are likely to experience academic
difficulties. Kavale and Mostert (2004) reported that social skill deficits were observed in
75% of students diagnosed with Specific Learning Disability (SLD). Stone and La Greca
(1990) found that peers often rated children with learning disabilities as having a low
social status. Children with underdeveloped social skills and difficulty with academics
tend to be viewed as non-conforming to school social norms (Stone & La Greca, 1990).
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Conversely, children who conform with school social expectations perform better
academically (Wilson & Shulha, 1995). Children with positive social skills such as
cooperation and following instructions tend to have more positive interactions with
teachers and do better academically than peers who are lacking in these skills (Milsom &
Glanville, 2010). Such findings suggest that prosocial skills have positive effects on
academics.
Office discipline referrals (ODRs) are used in some schools to track children’s
behaviors. ODR data can shed light on which students are sent to the office and for
what reasons. Analysis of ODR data suggests that teachers often view students with
social skill deficits as “uncooperative and complicated” in the learning environment
(Wight & Chapparo, 2008, p. 257), which can lead teachers to send such students to
the principal's or counselor's office. When multiple office referrals have occurred, the
next step is often another referral for a special education evaluation. Not all such
referrals result in special education placement, but the process consumes many hours
of time that could be spent on instruction.
In order to consider alternatives to office or special education referrals, analysis
of the reasons for students' social skill difficulties is important. When children lack
prosocial skills to solve problems with peers they might use other skills such as
aggression (August et al., 2003). Aggression often leads to office referrals where an
administrator (e.g., principal) is likely to use more substantial discipline such as
suspension or expulsion. Notably, children who were rated by teachers and peers as
having low social skills were 12.5 times more likely to be disciplined by an
exclusionary measure, like suspension (Duran, Zhou, Frew, Kwok & Benz, 2013).
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And, any exclusionary step (e.g., suspension or expulsion) removes the student from
instruction that could otherwise improve school performance.
A wide array of mental health disorders has been shown to be connected to
social skill deficits and peer difficulties. Attention Deficit Hyperactivity Disorder
(ADHD) is one of the disorders associated with social skills problems (American
Psychiatric Association, 2013). Children with ADHD tend to experience more peer
rejection and, even after intervention, often still have difficulty maintaining successful
relationships (Becker, Luebee & Langberg, 2012). Another disorder, Autism
Spectrum Disorder (ASD) has social skill deficits as the main component of the
disorder. Some of the deficits include lack of perspective taking, inability to imitate
others, and poor perception of nonverbal social cues. Children with ASD also have
difficulty with successful friendships (Ratcliffe, Wong, Dossetor & Hayes, 2015).
Other disorders that seem to correlate with difficulties in social situations include
anxiety (generalized and social) (White & Roberson-Nay, 2009), oppositional defiant
disorder (ODD) (Becker et al., 2012), and intellectual disabilities (Plavnick, Kaid &
MacFarland, 2015).
It is also worth noting that social skill deficits that continue later in life have
been linked to an increased risk for substance abuse (Nedim Bal, 2015). The good
news is that intervention remediating social skills has shown positive effects on
academics, behavior, and attitudes toward social situations (Whetstone, Gillmor &
Schuster, 2015). Social skills intervention is a step toward helping students with
observed social difficulties be successful. Thankfully, several evidence-based
interventions are available to improve students' social skills. Research indicates that
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teaching social and emotional skills addresses competencies students need to navigate
relationships with others. Prior research suggests that when pro-social skills are
directly taught, aggressive behaviors may be decreased and constructive behaviors
may be increased (Frey et al., 2000).
Evidence-Based Interventions for Social Skills
Research has shown that a tiered approach to social skills instruction can be the
most effective (Albrecht et al., 2015). This approach can be utilized for academics as
well as social skills. Tier 1 is universal and provided for all students. It is considered
primary prevention and includes teaching basic skills to all students. Tier 2 builds
upon what the students learned in Tier 1, but is more intensive and explicit. Tier 3 is
the most intensive and includes instruction for those students who are not responding
to the instruction provided at Tiers 1 and 2 (Brown-Chidsey & Andren, 2013; Brown-
Chidsey & Bickford, 2016). Social skills can be addressed in all tiers of the three-
tiered approach. Table 1 shows social skill instruction approaches at each level of
tiered instruction.
Several school-based interventions have been shown through research to
improve social skills in children. The United States Department of Education’s What
Works Clearinghouse (WWC) provides information about evidenced-based
interventions for specific academic, behavioral and emotional needs. A search on the
WWC website in April 2016 found 20 interventions related to student behavior. Of
those, seven were related to social outcomes or social-emotional development for
elementary students. The specific outcomes of those seven programs were evaluated to
identify key practices most related to social skill improvement (see Table 2). Reviews
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Table 1.
Tiered Approach to Social Skill Training
Tier Specific Program Description
Tier 1 Strong Kids (Frey et al., 2000) Second Step (Taub, 2001) Quest for the Golden Rule (RubinVaughan, 2011)
Social skills training at this level is a benefit to all students (Albrecht, et al., 2015). High quality social skill instruction is provided for all students and taught by a teacher, school counselor, school social worker or other school personnel in the classroom. Instruction includes defining, teaching and reinforcing positive behaviors (Yong & Cheney, 2013). Students are monitored for progress (Bayat, Mindes, & Covitt, 2010).
Tier 2
Behavior Education Program (Yong & Cheney, 2013). Check and Connect (Yong & Cheney, 2013). First Steps to Success (Yong & Cheney, 2013)
Skillstreaming (McGinnis, 2012)
Children may be chosen to participate in Tier 2 program if after Tier 1 instruction they are still having peer relationship problems. For social skills, students in Tier 2 may participate in small groups with a counselor, social worker, special educator or their teacher. Tier 2 should be consistently implemented procedures across 10-15% of the students and consistent with Tier 1 expectations (Yong & Cheney, 2013). Data are collected frequently, possibly on a weekly basis to determine if the more intensive intervention is effective (Bayat et al., 2010).
Tier 3 Functional Behavior Assessment with function-based interventions, (Gresham, 2015) Replacement Behavior Training (RBT) (Gresham, 2015)
Students who are not successful with Tier 2 intervention receive specialized instruction to remediate social skill deficits with frequent progress monitoring. Research and literature is lacking on how to address social skills at the Tier 3 level when other options have been exhausted (Gresham, 2015).
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Table 2
Social Outcome Interventions and Effect Sizes
Intervention Delivery Method Grade-Levels Study Examined
Effect Sizes for Social-Related Outcomes
Coping Power Small Group 4-5 r=.21 on aggressive behavior reduction (Lochman, Wells, Qu, & Chen, 2012)
Early Risers Individual K-2 d=.40 social etiquette scores compared to control (August et al., 2003)
Fast Track: Elementary School
Individual K d=-.22 aggression scores (Conduct Problems Prevention Research, 1999)
First Steps to Success
Individual K-3 d=-ranging from .54-.87 for the intervention group (Walker, Seeley, Small, Severson, Graham, Feil, Serna, Golly, Forness, 2009)
Lovaas Model of Applied Behavior Analysis
Individual PK d=.80 imitation, .47 socialization (Sallows, & Graupner, 2005)
Social Skill Training
Whole Class PK d=.83 sharing (mean effect size of two groups, d=2.8 being in a group (mean of effect size of two groups) (Guglielmo, & Tryon, 2001).
The Incredible Years
Individual PK-2 d=range of .55-.77 related to parent/child interactions, child interactions with peers and teacher/child interactions (Webster-Stratton, Reid, & Hammond, 2004)
of Coping Power and Fast Track: Elementary School indicated that the available
research for these programs was all based on a small amount of evidence and did not
show large effects. Coping Power suggested a small effect size on reducing
aggressive social behaviors (r=.21) when compared with the control group (Lochman
et al., 2012).
Fast Track: Elementary School suggested a similarly small effect size on
reducing aggressive behavior at d=-.22 (Conduct Problems Prevention Research,
1999). The Lovaas Model of Behavior Applied Behavior Analysis produced a large
effect size, d=.80, related to imitation skills and a moderate effect size related to
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socialization skills, d=.47, however, the sample was based on an atypical group of
young children aged 24-42 months with Autism (Sallows & Graupner, 2005).
First Step to Success, Early Risers, and The Incredible Years showed the most
promising effects on the social emotional development of students, but also were based
on a small amount of available evidence. First Step to Success involves three
components: (a) screening students for antisocial behaviors (i.e., aggression or
opposition), (b) an intervention phase, and (c) a parent/guardian training component.
Walker et al. (2009) found effect sizes ranging from .54 to .87 for the intervention
group. Although it showed promising results in reducing antisocial behaviors in young
children, the program requires a lot of resources, staffing and money (Walker,
Kavanaugh, Stiller, Golly, Severson & Feil, 1998). It is possible that some schools
might not be able to find resources to implement a program on this large of scale.
Early Risers is a multi-year program to improve self-regulation, social skills
and parent/child relationships (Bernat, August, Hektner & Bloomquist, 2007). WWC
analysis showed a medium to large amount of evidence, but had an effect size of only
d=.40 on social etiquette scores when compared to the control group (August et al.,
2003). A concern about Early Risers is the cost, which ranges from $1500-$2500 per
student (U.S. Department of Education, 2012). For schools, this intervention might not
be the best choice because most school interventions are short-term and lower cost.
The Incredible Years is a program similar to First Steps to Success in that there
is a parent-training component and it has been shown to reduce antisocial behaviors.
Effect sizes ranging from d= .55-.77 were found related to parent and child
interactions, peer interactions, and teacher and child interactions (Webster-Stratton et
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al., 2004). The Incredible Years involves training teachers to implement a prevention
curriculum in the Tier 1 classroom (Webster-Stratton, Reid & Stoolmiller, 2008). The
last social skills program included on WWC was Social Skills Training. Social Skills
Training does not involve a packaged training; rather, it is a collection of behavior
intervention techniques like incidental teaching (U.S. Department of Education, 2013).
A study by Guglielmo & Tryon (2001) found a large effect size from Social Skills
Training on sharing skills (d=.83).
Another program social skills training program that was not listed in WWC is
Skillstreaming. This program was first published in the 1970s based on research
conducted by Goldstein and colleagues (McGinnis & Goldstein, 1997). It is a social
skills instruction package and is similar to the social skills training techniques
reviewed at the WWC. The program focuses on what behavioral steps to use in
specific social situations (Lerner & Mikami, 2012). Skillstreaming is cost effective at
about $300 for a program book, lesson book and skills cards (DE-PBS, 2015).
Programming can be as brief as two days depending on the skill (McGinnis &
Goldstein, 1997). Effect sizes for research utilizing Skillstreaming are generally in the
moderate to large range (Sheridan et al., 2011). Sheridan et al. (2011) found effect
sizes as strong as d=-2.67 for specific problem behavior reductions. Skillstreaming
can be utilized on an individual basis or in a small group (McGinnis, 2012), which fits
with Tier 2 social skills training intervention. Based on the available evidence, it
appears that Skillstreaming could be as effective as those reviewed on the WWC, and
perhaps be easier and more cost effective for use in schools.
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In order to examine the effects of a specific social skills program on the social
behaviors of fifth graders, the following research questions were addressed in this
study:
1. Will fifth grade students who participate in small group Skillstreaming sessions
generalize skills in other structured and less structured settings as measured by
Direct Behavior Ratings?
2. Will students who participate in small group Skillstreaming sessions have
reductions in Office Discipline Referrals (ODRS) as shown in School Wide
Information System (SWIS) data?
3. Will students who participate in small group Skillstreaming sessions see
increased competency in social skills as measured by the Skillstreaming
checklist?
4. Will students who participate in small group Skillstreaming sessions see an
increase in prosocial skill self-ratings and teacher ratings as determined by the
Social, Academic, and Emotional Behavior Risk Screener (SAEBRS)?
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CHAPTER 2: METHOD
This study utilized a multiple baseline across settings design to evaluate the
effects of the Skillstreaming program on students’ social skills.
Participants
The study consisted of four student participants. The participants in the study
included three fifth grade males and one fifth grade female. To be considered eligible
for this study, participants must have had four or more office discipline referrals and
at-risk scores on the social portion of the Social, Academic, and Emotional Behavior
Risk Screener (SAEBRS) screening assessment. Students were excluded from
consideration if it was reported that they were moving to another school, had current
involvement with the legal system, or had opted out of mental health services through
the school system. Parent permission was documented through written procedures. In
addition, all participants provided witnessed assent for participation. All data
collection was conducted following the approval of the University’s Institutional
Review Board (IRB), as well as parental permission, and student assent.
Setting
The study was carried out in a public school in the Northeast that contained
grades 3 through 5. The school had 247 students enrolled during the 2016-2017
academic year, of which, 62% were eligible for free or reduced price school lunch.
The intervention group sessions were held in the Student Support Center and cafeteria
during the students’ lunchtime with the Behavior Support Teacher as an observer for
30% of the lessons.
Materials
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The Skillstreaming Elementary School Child, Third Edition program was used
for this study. The curriculum consisted of checklists (teacher, parent, and child),
teaching procedures for the skills, and 60 possible skills outlines. Six specific skills
were chosen based on the participants’ scores on the program’s pre-intervention
assessment. Students also completed weekly homework assignments related to the
skill for each week.
Dependent measures. The effects of the intervention were measured using
four methods. First, the Skillstreaming checklist (McGinnis, 2012) was completed by
teachers and parents prior to the group. From these data, specific skills in the
curriculum were selected for the group. Students also completed selected questions
from the Skillstreaming checklist related to the skills the group was to learn. Second,
in order to determine if the Checklist score changes were consistent with another social
skills metric, teachers completed the SAEBRS (Kilgus, Chafouleas, Riley-Tillman &
Von der Embse, 2013). A third measure utilized to evaluate whether the skills
generalized to other settings was systematic observation of the participants in
structured and unstructured settings. Structured settings consisted of the classroom
with regular education teachers or special education teachers, student support center,
and group sessions. Unstructured settings included lunch, recess, hallways, and
assemblies. The observer recorded participant behaviors using Direct Behavior
Ratings (DBR; FastBridge Learning, 2017). These scales rate the frequency of
specific student behavior from 1-10 on each observation. Finally, the effects were
measured in relation to changes in the participants’ office discipline referrals (ODRs)
utilizing School Wide Information Systems (SWIS) (Educational and Community
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Supports, 2016). At the end of the intervention teachers and students completed a
social validity questionnaire created by the researcher.
Skillstreaming Checklist. The Skillstreaming checklists consist of 60 items on
each of three Likert scales for the parent(s), teacher, and student (McGinnis, 2012).
These are designed to be a pretest measure to assign students to Skillstreaming groups.
For the purposes of this study these checklists were also used as a posttest measure.
These measures can be found in Appendix A.
Social, Academic and Emotional Behavior Risk Screener. SAEBRS screens
students who might be at risk for social, emotional, and behavioral problems. The
teacher version is a 20-item survey of students' academic, emotional, and social skills
(Kilgus et al., 2013; see Appendix B). The SAEBRS is available in digital form
through FastBridge Learning. The SAEBRS was completed by the teachers pre-
intervention, during the intervention, and post-intervention.
Direct Behavior Ratings (DBR) are daily to weekly observations of student
behavior across settings. DBR are designed as a form of progress monitoring to be
used alongside interventions to improve behaviors (Chafouleas & RileyTillman, 2015).
DBR are available in digital form from FastBridge Learning. The DBR system is
designed to be customized to each student's specific behavior(s) of concern. Each
student's target behavior(s) were observed in structured and unstructured settings at
least two times per week to check for generalization of behavior(s) using a 10-point
Likert rating scale. An example of this measure can be found in Appendix C.
Office Discipline Referrals (ODR) in elementary school are commonly related
to peer-directed problems (Predy, McIntosh, & Frank, 2014), which can stem from
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poor social skills. An example includes students interfering with classmates during
lessons that result in being sent to the office. ODRs were reviewed for each
participant for the entire school year when the intervention occurred to determine if
there had been a reduction in referrals. The ODR tracking sheet can be found in
Appendix D.
Social Validity Scale. In addition to the four measures of student behavior
change, a social validity questionnaire was distributed to the participating students as
well as their teachers after the intervention ended. The questionnaire includes items
related to whether the Skillstreaming intervention was easy or difficult, if it achieved
its goals, and whether respondents would recommend it for other students with similar
behavior difficulties. This measure can be found in Appendix E.
Student Self-Ratings. The participants were also asked to rate their own skills
on a weekly basis based on the skill for the week. This measure can be found in
Appendix F.
Procedures
The selection criteria utilized to choose students for participation included
recruiting students with more than three ODRs for the 2015-2016 school year. From
that group of students, students were chosen based on the lowest scores (i.e., highest
risk) on the social skills subscale of the SAEBRS that their teachers completed. Four
students were recruited and parental consent and student assent were obtained for each.
Teachers, students and parents were asked to complete the Skillstreaming checklist.
Baseline behavior rating data were obtained using DBR behavior ratings across
structured and unstructured settings at least two times per week for each student
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(cafeteria, classroom, playground, and special class, [e.g., music]). The Skillstreaming
checklist was utilized to determine skill deficit areas and what lessons to provide
students during intervention. All student scores in each skill area were examined.
Categories were chosen based on all four students scoring an “Almost Never”
or “Seldom” in skill areas. All students began the group after the two weeks of baseline
observation. The researcher provided the intervention with an outside evaluator
checking for treatment integrity during 30% of the observation sessions (see Appendix
G). The intervention utilized the Skillstreaming lessons specific to the skills the
students needed. Based on the students’ pre-intervention data, four lessons regarding
the topic of feelings and two other lessons related to problem solving and relaxation
were planned. After two lessons related to feelings it was clear that the participants
knew this topic well and a different lesson on avoiding trouble, more pertinent to their
social issues, replaced the remaining feelings lesson. Examples of a typical group
session schedule and sample lessons can be found in Appendix H.
Progress was monitored by the DBR in one unstructured setting and one
structured setting per week per student during the intervention and for two weeks
following the intervention. Structured settings included classrooms, Skillstreaming
lunch group, and special classes; unstructured settings included hallways, the
playground, and the cafeteria. During the observations, the observer recorded a rating
for each student related to disruptive behaviors with peers and adults as well as
appropriate interactions. Disruptive behaviors included volume and tone of voice that
others found aversive, loud noises disrupting others, and interactions with peers
causing arguments or physical aggression. Appropriate social skills were defined as
25
the various skills learned in the group including showing concern for another’s feelings
through words or actions, avoiding situations with peers that are causing problems,
using skills to relax when tense or upset, and using problem solving skills. Each
student was rated on each of the two areas on a 1-10 scale with 1 being constant
disruptive behaviors or no appropriate interactions and 10 being no disruptive
behaviors or all appropriate interactions. The intervention length was 6 weeks with an
average of 2.5 points of contact between the interventionist and participants per week
for a total of 15 sessions. Each participant completed a portion of the Skillstreaming
checklist related to the planned lessons for each week of the intervention.
Prior to the intervention, students met with the researcher for a 20-minute
rapport building session. During this session, students set individual goals for group
attendance (i.e., how many sessions do you think you will attend?). If each student
met his or her own attendance goal, a group reward consisting of a celebration lunch
would be held. Students also planned a final celebration opportunity. During the
intervention phase, students met with the researcher for 20 minutes for fifteen sessions
to complete a lesson within the Skillstreaming curriculum during their lunch time.
Students ate their lunches while working in the group. They completed one lesson per
week for a total of six lessons. Each week consisted of discussion of skill steps,
modeling of the skill by the researcher, role play of the skill by the students and a
discussion of skill practice. Students received a skill card with skill steps to take to
home and were assigned “homework” to practice the skill during that week. Teachers
also received a copy of the skill card with skill steps. After being given a chance to
practice the new skills, students self-assessed skills on a Likert scale weekly. During
26
the intervention, students also had four opportunities to invite peers to a lunch table to
practice skills in the cafeteria. The participants all met their own attendance goals and
all participated in the final celebration.
At the end of the intervention the participants, parents, and teachers completed
a portion of the Skillstreaming checklist related to the skills addressed during the
intervention (Appendix A). In addition, the teachers completed the SAEBRS again at
the end of the intervention. Data were analyzed using a visual inspection of DBR
graphs from baseline, intervention, and maintenance phases. The graphed data were
analyzed in relation to the direction and trend of data points. The graphed data were
compared to each participant's score changes on the Skillstreaming checklist and
SAEBRS. Although not a pre-post group design, comparison of DBR and rating scale
changes was included for the purpose of examining the accuracy of the skill ratings in
relation to real-time observations of students in multiple school settings. In addition,
ODRs were reviewed pre- and post-intervention to determine if a reduction in ODRs
related to peer issues was a secondary outcome of improved social skills.
27
CHAPTER 3: RESULTS
Four students were recruited for the study and all four students’ parents
provided permission for the students to participate; the students provided their own
assent as well. Student demographic data related to sex, age, and overall behavior
needs are shown in Table 3.
Table 3.
Participants' sex, age, grade, and behavior skill needs
Sex Age Grade Behavior Skill Needs
M 11 5 Engages in disruptive behavior in the classroom and unstructured environments for peer attention
M 11 5 Engages in disruptive behavior in the classroom and unstructured environments for peer attention
M 10 5 Impulsive F 11 5 Often joins disruptive behaviors others are displaying
Treatment Integrity
The behavior support teacher conducted treatment integrity checks to measure
the group leader’s fidelity to the lesson plans. Treatment integrity checks occurred
randomly over seven of the intervention sessions. Scores on all integrity checks
reached 100% across all sessions.
At the start of the intervention, students selected personal goals for intervention
attendance. Attendance and goals for each of the four students are shown in Table 4.
Each student exceeded his or her personal goal.
28
Table 4.
Intervention attendance goals and actual attendance
Student Attendance Goal Attendance A 80% 93% B 73% 80% C 73% 100% D 80% 100%
Students’ Weekly Self-Ratings
Each student also rated his or her own progress each week on the skill of the
week. Figure 1 shows each student’s assessment of his or her own progress related to
how well he or she utilized the skill when encountering situations related to the skill.
This measure was meant to be a formative assessment to remind the students to be
aware of using the skills outside of the group setting. Skills were rated on a 1 through
5 Likert-type scale with 1 being “I never used the skill appropriately this week” to 5
being “I used the skill perfectly every time I encountered that situation this week.”
Figure 1. Student self-assessment of skills.
0 1 2 3 4 5 KnowingYourFeelings RecognizingAnother's…
Relaxing ProblemSolving
UsingSelfControl AvoidingTrouble
StudentA
0 1 2 3 4 5 KnowingYourFeelings RecognizingAnother's…
Relaxing ProblemSolving
UsingSelfControl AvoidingTrouble
StudentB
0 1 2 3 4 5 KnowingYourFeelings RecognizingAnother's…
Relaxing ProblemSolving
UsingSelfControl AvoidingTrouble
StudentC
0 1 2 3 4 5 KnowingYourFeelings RecognizingAnother's…
Relaxing ProblemSolving
UsingSelfControl AvoidingTrouble
StudentD
29
SkillStreaming Checklist Ratings
Teachers and students rated the target social skills prior to the intervention
beginning and at the end of the intervention group using the Skillstreaming Teacher
and Student Checklist (See Appendix A). The higher the point value, the higher
functioning the student was performing in those skills. These ratings are shown in
Table 5. All students evidenced slight improvements in teacher ratings scales in all
skills. Student self-ratings were more variable and showed minimal improvement to
no improvement in their self-assessment of skills.
Direct Behavior Ratings
Student behavior progress, as monitored by Direct Behavior Ratings (DBR) in
one unstructured setting and one structured setting per week, per student, provided
evidence of student skill changes. Structured settings included classrooms, the
intervention group, and special classes; unstructured settings included hallways, the
playground, and cafeteria. Two specific categories of behavior were observed for each
student. During the observations, the observer recorded a rating for each student
related to targeted disruptive behaviors as well as appropriate interactions with peers
and adults. Disruptive behaviors included (a) volume and tone of voice that others
found aversive, (b) making loud noises disrupting others, and (c) interactions with
peers causing arguments or physical aggression. Appropriate interactions were
defined as exhibiting the various skills learned in the intervention group including, (a)
showing concern for another’s feelings through words or actions, (b) leaving situations
with peers that start to be problematic (d) using skills to relax when tense or upset, (e)
using self-control skills, and (f) using problem solving skills.
30
Table 5. Student and teacher pre- and post-intervention skill ratings
Student Teacher Items Pre Post Pre Post
1. Knowing your feelings (recognizing ones’ own feelings)
Almost Never 0% 0% 75% 0% Seldom 25% 25% 25% 25% Sometimes 25% 25% 0% 50% Often/Almost Always 50% 50% 0% 25%
2. Recognizing Another's Feelings (being able to identify how others are feeling)
Almost Never 50% 0% 75% 0% Seldom 0% 0% 0% 50% Sometimes 0% 25% 25% 25% Often/Almost Always 50% 75% 0% 25%
3. Using Self Control Skills (using strategies to control self)
Almost Never 0% 0% 75% 0% Seldom 50% 50% 0% 25% Sometimes 50% 50% 25% 50% Often/Almost Always 0% 0% 0% 25%
4. Problem Solving Skills (choosing positive alternatives to aggression)
Almost Never 25% 50% 50% 0% Seldom 25% 0% 50% 50% Sometimes 25% 25% 0% 50% Often/Almost Always 25% 25% 0% 0%
5. Relaxation Skills (can the student relax when tense/upset)
Almost Never 0% 0% 25% 0% Seldom 50% 50% 25% 25% Sometimes 50% 50% 50% 50% Often/Almost Always 0% 0% 0% 25%
6. Avoiding Trouble (does the child avoid situations that may cause problems)
Almost Never NA 25% 50% 0% Seldom NA 25% 50% 50% Sometimes NA 25% 0% 25% Often/Almost Always NA 25% 0% 25%
Each student was rated on each of the two areas on a 1-10 scale with 1 being constant
disruptive behaviors or no appropriate interactions and 10 being no disruptive
31
behaviors or all appropriate interactions. Figure 2 shows data related to the disruptive
behavior and appropriate interactions for each student. During intervention, Student A
evidenced no identifiable change in any of the areas. It is important to note that this
student was observed by the classroom teacher and researcher to engage in
increasingly disruptive and inappropriate interactions when the observer was present.
Student B began the intervention with higher appropriate interactions and lower
disruptive behaviors than the other students. During the intervention this student
maintained appropriate interactions and limited disruptive behaviors in both settings
and evidenced no change upon visual inspection of the graph. Student C revealed
variable appropriate interactions in structured settings during all phases, but
demonstrated a drop in appropriate interactions in unstructured settings. Concurrent
with the decrease in appropriate behaviors, student C demonstrated an increase in
disruptive behaviors in unstructured settings, although disruptive behaviors were
variable in all phases. Student D's appropriate interactions were variable in both
structured and unstructured settings during all phases. Nonetheless, student D
exhibited a modest decrease in disruptive behaviors in unstructured settings by the end
of the study.
The students’ DBR data in one unstructured setting and one structured setting
per week, per student, provided some evidence of student skill changes. Structured
settings included classrooms, the intervention group, and special classes; unstructured
settings included hallways, the playground, and cafeteria. Two specific categories of
behavior were observed for each student. During the observations, the observer
recorded a rating for each student related to targeted disruptive behaviors as well as
32
appropriate interactions with peers and adults. Disruptive behaviors included (a)
volume and tone of voice that others found aversive, (b) making loud noises disrupting
others, and (c) interactions with peers causing arguments or physical aggression.
Appropriate behaviors included (a) showing concern for another’s feelings through
words or actions, (b) leaving situations with peers that start to be problematic (d) using
skills to relax when tense or upset, (e) using self-control skills, and (f) using problem
solving skills. Each student was rated on each of the two areas on a 1-10 scale with 1
being constant disruptive behaviors or no appropriate interactions and 10 being no
disruptive behaviors or all appropriate interactions.
Figure 2 shows data related to the disruptive behavior and appropriate
interactions for each student. During intervention, Student A evidenced no identifiable
change in any of the areas. It is important to note that this student was observed by the
classroom teacher and researcher to engage in increasingly disruptive and
inappropriate interactions when the observer was present. Student B began the
intervention with higher appropriate interactions and lower disruptive behaviors than
the other students. During the intervention this student maintained appropriate
interactions and limited disruptive behaviors in both settings and evidenced no change
upon visual inspection of the graph. Student C revealed variable appropriate
interactions in structured settings during all phases, but demonstrated a drop in
appropriate interactions in unstructured settings. Concurrent with the decrease in
appropriate behaviors, student C demonstrated an increase in disruptive behaviors in
unstructured settings, although disruptive behaviors were variable in all phases.
Student D's appropriate interactions were variable in both structured and unstructured
33
Figure 2. DBR Ratings.
34
settings during all phases. Nonetheless, student D exhibited a modest decrease in
disruptive behaviors in unstructured settings by the end of the study.
Office Discipline Referrals
Another dependent variable, office discipline referrals (ODR), showed the
number of times each student was sent to the principal's office during the months when
the study was conducted. The ODRs were analyzed to assess both overall trends as
well as those referrals related to issues with peers. Figure 3 shows the number of
referrals per month that each student received in all three phases. Through visual
inspection of the graph, the effects of the intervention seem to be negligible when
related to ODRs.
Figure 3. Participants’ Office Discipline Referrals (ODR) by month
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
Sep-16 Oct-16 Nov-16 Dec-16 Jan-17 Feb-17 Mar-17 Apr-17
StudentA StudentB StudentC StudentD
35
SAEBRS Scores
Teachers completed the SAEBRS for all students in the fall (prior to the
intervention), winter (during the intervention) and in the spring (after the intervention).
The participating students' SAEBRS data were assessed to determine if there were
changes that could be associated with the intervention. Figure 4 shows SAEBRS
ratings that teachers completed for the participants. Participants A, B, and D, saw an
overall increase in SAEBRS scores from baseline (fall). All participants saw an
increase in SAEBRS scores on the social portion from baseline, however, Student C’s
scores changed the least. This student’s spring SAEBRS social scale score was slightly
higher than fall, but the spring total score was lower than fall.
Figure 4. Overall Social Scale and Total SAEBRS scores
0 10 20 30 40 50 60 Spring(Total) Winter(Total)
Fall(Total)
Spring(Social) Winter(Social)
Fall(Social)
StudentA
0 10 20 30 40 50 60 Spring(Total) Winter(Total)
Fall(Total)
Spring(Social) Winter(Social)
Fall(Social)
StudentB
0 10 20 30 40 50 60 Spring(Total) Winter(Total)
Fall(Total)
Spring(Social) Winter(Social)
Fall(Social)
StudentC
0 10 20 30 40 50 60 Spring(Total) Winter(Total)
Fall(Total)
Spring(Social) Winter(Social)
Fall(Social)
StudentD
36
Social Validity Results
A social validity scale was administered to teachers and the student participants
at the end of the study. In response to the question about whether the group fit easily
into the school schedule 100% of the teacher respondents answered “Yes.” Only
75% of students said “Yes.” One participant indicated that the group was not long
enough in duration, which is why he felt that “Maybe” it fit into the school schedule.
When asked if the group achieved the goals that the individual thought the group
would achieve 50% of teachers said “Yes” and 50% said “Maybe.” Students answered
with 75% feeling that “Maybe” the group achieved goals that they thought it would
and 25% said “Yes.” The last question asked if respondents would recommend this
group for other students. All of the teachers indicated they would recommend the
group for other students. Fifty percent of students would recommend the group to
others, 25% said “Maybe” and 25% said “No” they would not recommend the group to
other students.
37
CHAPTER 4: DISCUSSION
Previous studies have shown an increase in prosocial behaviors during
intervention and shortly after the intervention through the use of Skillstreaming
(Sheridan et al., 2011). This study examined Skillstreaming as a Tier 2 small group
intervention with a social integration component for fifth graders with identified social
skill deficits. The results were mixed. Although the students appeared to make
minimal gains in relation to observed behaviors, their teachers reported improvements
in overall social skills in all but one case. Nonetheless, the general conclusion from the
observation data is that intervention showed minimal effects related to improved social
skills.
The first research question this study was seeking to answer was related to
whether students were able to display and generalize behaviors learned through small
group intervention in real world practice settings. Although students practiced
appropriate behaviors in the intervention sessions, their application in structured and
unstructured school settings showed little to no change during and after the
intervention. Indeed, some students displayed worsening disruptive behaviors by the
end of the study. The exception was subject D who displayed a slight reduction in
disruptive behavior in structured settings at the end of the study. This finding suggests
that these students did not transfer the skills learned during intervention to other
environments. The DBR data were anticipated to be consistent with score changes in
the Skillstreaming checklist and the SAEBRS data, however, the results did not show
this. Instead, the DBR data were inconsistent, while the checklist scores indicated
minimal gains and the SAEBRS data evidenced moderate gains for students.
38
The second area this study examined related to ODRs and whether students would
display a drop in ODRs if they participated in small group intervention related to social
skills. The students’ ODR numbers did not seem to be affected by the intervention.
Similar to the DBR data, this finding suggests that the students did not employ the skills
learned during intervention in their classrooms in ways that would result in fewer trips to
the principal’s office.
The third research question this study addressed was whether there would be
significant change in student and teacher ratings of behaviors according to the
Skillstreaming checklist. Both the student and teacher ratings indicated that the gains
were minimal. Interestingly, the teachers’ scores indicated larger gains from the
intervention than the student scores, suggesting that the teacher-perceived gains were
higher than student-perceived gains. Students seemed to think their skills had not
improved from the pre-intervention rating, but teachers were more likely to rate them
as having improved skills.
The last research question this study examined related to improvements in
prosocial skills as rated by the teachers through SAEBRS. Three of the four students
saw gains in their overall SAEBRS scores and on the social portion of the SAEBRS
scores. One student (C) evidenced a reduction in the overall SAEBRS score, but also
evidenced a slight improvement in the social score area. All of the students showed
improvement on the social subscale from fall to spring. However, students A and C
had winter social subscale scores that were lower than their fall ratings.
Prior research, related to social skill training, has evidenced improvements in
reduction of aggressive (Taub, 2001) and antisocial behaviors (Walker et. al, 1998) as
39
well as shown an increase in positive interactions (Milsom & Glanville, 2010). Other
studies have resulted in mixed efficacy, or shown success with students with specific
disabilities’ such as Autism, Intellectual Disability, and Schizophrenia. For example, a
study completed by Van der Stouwe, Asscher, Hoeve, Van der Laan, and Stams
(2016), found that a social skills training program designed for incarcerated
adolescents showed little to no effects related to social problem solving, but showed
small effects related to social perspective taking and impulsivity. Several studies also
support that social skills training has been effective for students with Autism. Radley,
Hanglein, and Arak (2016) found improvements in social functioning among preschool
students with Autism from baseline to maintenance as rated by teachers and parents on
a social skills checklist. Another study (Laugeson, Frankel, Mogil & Dillon, 2009)
revealed that students with Autism evidenced improvements, as indicated through
rating scales completed by parents and teachers, and maintained these skills at the 14-
week post intervention period. O’Handley, Ford, Radley, Helbig, and Wimberly
(2016) utilized behavioral skills training with participants with Intellectual Disability
and found skills were maintained at six-week follow ups reported by teacher ratings.
Individuals with Schizophrenia also evidenced increased prosocial skills as measured
by rating scales in response to a computer-assisted cognitive remediation program for
social skill training (Kurtz, Mueser, Thime, Corbera & Wexler, 2015).
The present study results differ from previous studies in that the students did
not make expected gains from this intervention. A notable difference with prior
research is that this study included typically-developing students not served through
special education. Only one student in this study had a mental health diagnosis
40
(ADHD). Also, students selected for this study were students who had higher rates of
ODRs compared to others within the school population. Prior studies where social
skill instruction has been successful have primarily involved students with Autism. As
Van der Stouwe et al. (2016) showed, social skills training may not be as effective
with students who are engaging in delinquent behaviors. Also notable in the current
study were several students who instigated inappropriate social behavior in others.
Skillstreaming delivered in a group format might not be the most effective intervention
for students with these type of needs.
It is worth noting that among the studies in which success was reported, most
of the success was shown through teacher rating scales. It is possible that this can be
attributed to teacher expectancy effects due to knowing that a student is participating
in a social skills group. Although students in this study did show improvement in the
SAEBRS data collected, this improvement could be related to teacher expectations
rather than actual behavior change. The teachers were aware the students were in the
group working on social skills and might have rated students higher at the end of the
study because they expected them to improve. Another factor as to why students were
rated higher on SAEBRS rating scales could have been that students mature
throughout their 5th grade year as they prepare for middle school and may show
improvement in this type of data naturally.
Similarly, the teachers’ Skillstreaming checklist scores showed more
improvement than the students’ ratings. This could be another manifestation of
expectancy effects on the teacher rating scales. There might also have been social
influence factors that affected the students’ self-ratings. When completing the
41
Skillstreaming checklist at both pre- and post-intervention, the students appeared to
copy each other’s answers. For example, when one student would say a frequency of
behavior, another student would record the same response. When reminded to
“think about how YOU really act in this situation” some students then changed their
answers. Given this apparent social influence on student answers, having the students
complete the rating scales individually, rather than in the group setting, might have
been more beneficial for collecting valid data related to students’ assessment of
themselves.
Compared to the SAEBRS and Skillstreaming scores, DBR data for students
showed no improvement or effects related to the social skill training. The DBR data
might be less likely to include expectancy effects because they were observations of
the students in various school environments, although in this case the observer was not
blind to the purpose of the study. Although the researcher, who was the intervention
leader as well, conducted the observations, the results did not appear to include
improvement expectations or influence student behaviors, with one exception. One
student was observed to become louder and more disruptive during observations in
structured settings. The teacher mentioned that it was not the best measure of his
behaviors. Using a trained observer who was blind to the intervention phase and
unfamiliar to the students might have reduced the likelihood of expectancy and
reactivity effects. The DBR data showed that students did not generalize the skills
from the intervention to other school environments. DBR was selected because it is a
form of data collection that can be used in the classroom by teachers, however the
intended target behaviors in this study may not have adequately matched the data
42
collected through DBR, which could account for lack of generalization. It is also
possible that the timing of the DBR observations influenced the resulting data. In the
early part of the intervention phase, students were observed before all of the target
behaviors have been taught. As a result, the students might not have acquired the
observed behaviors. Still, if this was the case, some improvement in the students’
behaviors would be expected after all skills were taught and observed, but this was not
the case.
The differences seen among the SAEBRS scores, the Skillstreaming checklist,
and DBR data show why researchers should be cautious when choosing sources of
data to measure change. Studies only using rating scales, and not direct observation
data, might not show a true picture of student progress. Direct observations such as
DBR ratings are currently the best method for evaluating true behavior change.
Limitations and Future Research
Several limitations exist with the current study. The first one related to the
observations conducted. More observations were initially scheduled. However, due to
student schedule variations they could not be completed. Often, identified students
were not in the activities that the researcher had scheduled to observe (i.e., recess).
Another problem related to the observations was that one student engaged in
increasingly disruptive behavior while being observed. Although not possible for this
study, having other trained observer would have been beneficial for DBR collection in
order to mitigate observer effects. DBR data also lacked interobserver agreement,
thus observation inaccuracies were possible.
43
Another limitation related to the intervention schedule. The students’ lunch
time was selected for the interventions so they would not miss instructional time. This
schedule proved difficult because students needed time to eat lunch and were a bit
resistant to standing up for role plays while trying to eat. The scheduled time was also
very limited because it took students time to obtain their lunches from the cafeteria and
then enter the room to participate in the group. Actual “work time” for group sessions
ended up being around 15 minutes. When homework was mentioned related to the
group, students responded with “We don’t get homework in lunch bunches.” The
observer changed the wording to “skill practice” as opposed to “homework” to
navigate this challenge. It seems that a more structured intervention time for social
skills intervention might have been more effective.
Future Skillstreaming research could focus on integrating lessons in all areas of
the school with regular coaching of skills learned in the small group. It seems that
intervention schedule needs to be more focused and not necessarily have lunch
interfere. Some participants and teachers did request a lengthened group intervention
(longer than 6 weeks). Another area to explore in relation to teacher expectations of
behavior change might be to have other staff collect data about perceived student skill
gains (i.e. specials teachers, cafeteria workers, education technicians, etc.). If such
data could be collected in a “blind” fashion so that the raters do not know if the
students are in an intervention, this information would help to illuminate the
differences in teacher ratings and observed behaviors.
Pairing Skillstreaming with other methods currently used in schools could also
be an area for future research. For example, mindfulness is currently being used in
44
many schools. If this concept of mindfulness is taught at the universal level, the
mindfulness techniques could be integrated into Skillstreaming lessons at the Tier 2
level to reinforce schoolwide expectations, and to help students utilize universal
strategies for specific areas of individual need.
Future research is needed in the area of social skill training and government
regulations related to education. The Every Student Succeeds Act (ESSA) is a recent
renewal of the previous Elementary and Secondary Education Act (2015). ESSA not
only puts emphasis on student success in testing, but also allows student success to be
measured with other variables (Mathis, & Trujillo, 2016). One of these variables
could be social emotional learning. Curricula like Skillstreaming could be used to
show student growth and potentially meet the requirement of the nonacademic area
mentioned in ESSA. Future research could focus on how curriculum related to social
skills can address this need along with the various tools that can monitor behavior
change in a normative manner.
Prior research suggests that Skillstreaming shows promise as an intervention
that can improve some students’ social-emotional skills. Anecdotal feedback gathered
throughout the intervention indicated that students enjoyed the group and teachers
looked positively upon the group because students were getting assistance and
intervention that is not always available in the classroom setting. Nonetheless, the
results indicated that the students’ observed behaviors across settings did not
demonstrate improvement on a par with the teachers’ SAEBRS ratings. This
incongruence suggests that methods for monitoring student behavior improvements
need more research. In addition, more research is needed to determine how
45
Skillstreaming can integrate with a schoolwide social-emotional learning curriculum
with strategies to promote generalization.
46
CHAPTER 5: SUMMARY
Prior studies have shown Skillstreaming to be effective for teaching selected
students prosocial skills. Most of the prior research included students with Autism,
Intellectual Disability, or incarcerated youth, with the best outcomes observed among
students with Autism and Intellectual Disability. In this study with typically-
developing fifth graders, Skillstreaming showed mixed generalization effects related to
a Tier 2 intervention. Similar to previous studies, teacher checklists and ratings of
students’ skills indicated social skill improvement. Nonetheless, direct behavior
observations showed negligible results with little to no improvement in student
behavior. ODR data also showed little to no progress related to the intervention. Even
with the minimal progress, most participants and teachers recommended this
intervention for other students. The findings of this study further endorse that
researchers should be cautious about basing results only on informant reports such as
checklists or rating scales. Additional research to confirm the current results and
identify the best methods for documenting student social skill improvement is
recommended.
47
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Appendix A: Skillstreaming Checklists
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
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Appendix B: SAEBRS (Teacher) Items
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Appendix C: Sample DBR Items
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Appendix D: ODR Tracking Form
Student # of ODRS
preintervention (total)
# of ODRs related to peer
issues preintervention
# of ODRS postintervention
(total)
# of ODRs related to peer
issues postintervention
Student A
Student B
Student C
Student D
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Appendix E: Social Validity Scale for Teachers and Students
1
(No)
2
(Maybe)
3
(Yes)
DidIfindthegroupeasytofitintoaschool
schedule?
DidthegroupachievethegoalsIthoughtit
would?
WouldIrecommendthegroupforother
students?
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Appendix F: Treatment Integrity Checklist
Week.Session 1.1 2.1 3.1 4.1 5.1 6.1 Comments
Wastheskilldefinedbythegroupleader utilizingskillcardsorposterssothatallgroupmemberscouldunderstandtheskill?
Wastheskillmodeledforthegroupbythegroupleader?
Didstudentsroleplaytheskill?
Wasfeedbackprovidedbythegroupleaderfortheroleplay?
Wasthereaconclusiontothegroupwithareviewoftheskill?
Werethestudentsassigned homework relatedtotheskill?
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Week.Session 1.2 2.2 3.2 4.2 5.2 6.2 Comments
Wastheskillreviewedwiththestudentspriortoenteringthesetting?
Werethestudentsgivenanopportunitytopracticetheirskillinoneofthefoursettings(classroom,recess,lunch,orspecial)?
Werethestudentsreinforcedforpracticingtheskill?
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Week.Session 1.3 2.3 3.3 4.3 5.3 6.3 Comments
Wasareviewofthehomeworkcompleted?
Werethestudentsgivenfeedbackontheir performance relatedtotheskillforthatweek?
Werethestudentsreinforcedforcompletinghomework?
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Appendix G: Sample Skillstreaming Schedule and Lesson
Monday Wednesday Friday
Week One Listening (Introduce Skill and Steps), Modeling, Role Play
Practice Day-Students will practice listening in the classroom with group leader observing and prompting if needed.
Integration Day- Skill practice in the cafeteria with rewards at table (card games, PBIS passes)
Week Two Asking for Help
(Introduce Skill and Steps), Modeling, Role Play
Practice Day-Students will practice asking for help in the Art/Music/PE classroom with group leader observing and prompting if needed
Integration Day- Skill practice in the cafeteria with rewards at table (card games, PBIS passes)
Week Three Saying Thank You
(Introduce Skill and Steps), Modeling, Role Play
Practice Day-Students will practice saying thank you in the cafeteria with group leader observing and prompting if needed
Integration Day- Skill practice in the cafeteria with rewards at table (card games, PBIS passes)
Week Four Bringing Materials to Class
(Introduce Skill and Steps), Modeling, Role Play
Practice Day-Students will practice brining materials to class with the group leader observing and prompting if needed
Integration Day- Skill practice in the cafeteria with rewards at table (card games, PBIS passes)
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84
85
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Appendix H: Group Self-Rating Report
87
BIOGRAPHY OF THE AUTHOR
Kathleen (Katie) Kolbe-Holden was born in Philipsburg, Pennsylvania on
November 13, 1982, where she resided for all of her childhood. She attended the
Pennsylvania State University and graduated in 2005 with a Bachelor of Science
degree in Human Development and Family Studies. She then attended the California
University of Pennsylvania and graduated with a Masters of Education in Counselor
Education in May 2008. After working a few years as a school counselor in
Pennsylvania, she moved to Colorado and worked as a school counselor and preschool
teacher. She moved to New Hampshire in 2012 and began working on her Doctor of
Psychology in School Psychology while working as a school counselor. Upon
graduation in August 2017, Katie plans to work as a school psychologist.