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BACKGROUND	
•  Social	skills	groups	have	shown	to	be	an	effec6ve	interven6on	
for	improving	social	intelligence	for	individuals	with	Au6sm	
Spectrum	Disorder	(ASD)	(Barry	et	al.,	2003)	
•  Previous	studies	that	have	inves6gated	predictors	of	treatment	
outcome	found	that	age,	IQ,	and	au6sm	severity	were	
significant	predictors	for	adap6ve	func6oning	post-treatment	
(Perry	et	al.,	2011)	
•  Gender	has	also	been	inves6gated	as	a	predictor.	One	study	
found	that	female	adolescents	with	ASD	are	more	mo6vated	
to	engage	in	social	interac6ons	and	have	more	posi6ve	views	
of	friendships	than	male	adolescents	with	ASD	(Sedgewick	et	
al.,	2015)	
•  The	limited	amount	of	research	on	outcome	predictors	
requires	more	explora6on	in	order	to	determine	the	
effec6veness	of	social	skills	groups	
Predictors	of	Treatment	Outcome	for	the	START	Socializa?on		
Interven?on	for	Adolescents	with	Au?sm	Spectrum	Disorder	
Reyna	Rincon,	Alvin	Chiu,	Jordan	Ko,	Amber	Miller,	Ty	Vernon	
University	of	California,	Santa	Barbara	
OBJECTIVES	
To	examine	predictors	of	outcome	for	a	non-verbal	social	skill	
(posi6ve	facial	expressions)	for	adolescents	with	ASD	following	
par6cipa6on	in	the	START	program	
METHODS	
		Measures	
						Kaufman	Brief	Intelligence	Test	(K-BIT):	Brief	measure	of						
						overall	IQ	
					Video	conversa?ons:	All	par6cipants	par6cipated	in	a					
						naturalis6c	five-minute	video	recorded	conversa6on	with	an		
						unfamiliar	typically	developing	peer.	Conversa6on	were	held		
						at	baseline	and	end	of	treatment	(Week	20).	Trained	research			
						assistants	coded	conversa6ons	for	posi6ve	facial	expressions		
						using	NOLDUS	Observer	soware	
						Posi?ve	facial	expressions:	Research	assistants	coded	the		
						behavior	in	5-second	intervals.	The	presence	of	posi6ve	facial		
						expressions	was	coded	if	par6cipants	smiled	and/or		
						laughed	during	each	interval	
	
		Analyses	
						-	Hierarchical	mul?ple	regression	
									Predictors:	Age,	Overall	IQ,	Posi6ve	Facial	Expressions	pre-		
									scores	(baseline),	and	Gender		
START	GROUP	
Social	Tools	and	Rules	for	Teens	(START)	
•  20-week	social	skills	group	interven6on	for	adolescents	with	ASD		
•  Inclusion	criteria:	Ages	12-17	years,	verbal	IQ	of	70	or	above	
	
Par?cipants	
•  35	adolescents	diagnosed	with	ASD	(Male:	24,	Female:	11)	
•  Par6cipants	were	randomly	assigned	into	treatment	or	waitlist	group	(control)	
•  Typically	developing	high	school	peers	and	undergraduate	facilitators	
par6cipated	in	the	program	
	
	
Table	1:	Variable	Descrip6ve	Sta6s6cs	and	Correla6ons	Among	Variables	
Note:	Posi6ve	Facial	Expressions	was	measured	as	the	average	percentage	of	6me	displaying	posi6ve	facial	expressions	during	
five-minute	video-recorded	conversa6on			
*	p	<	.05,	**	p	<	.01		
Table	2:	Predic6ng	Posi6ve	Facial	Expressions	(Post	Treatment)	
Two	variables	significantly	
correlated	with	the	posi6ve	
facial	expressions	scores	aer	
treatment:		
1)	Posi6ve	Facial	Expressions	
Pre-Scores	
2)	Gender		
The	β	value	is	a	measure	of	how	strongly	each	individual	predictor	variable	influences	the	dependent	variable	(posi6ve	facial	
expression	(post)).	
Both	Gender	and	
Posi6ve	Facial	
Expression	Pre-Scores	
posi6vely	predicted	the	
Posi6ve	Facial	
Expression	Post-Scores	
Table	3:	Summary	of	Hierarchical	Regression	Analysis	for	
Variables	Predic6ng	Posi6ve	Facial	Expressions	(Post	Treatment)		
Note:	N	=	35;	*	p	<	.05,	**	p	<	.01	
DATA	TABLES	
	
	
		
Y(Predicted	Posi?ve	Facial	Expression	(Post))	=	9.40	+	0.63	*	(Posi?ve	Facial	Expression	(Pre))+	17.19	*(Gender)	
•  Step	1	Results:	Posi6ve	Facial	Expressions	(Pre)	contributed	
significantly	to	the	regression	model,	F	(1,30)	=	10.10,	p	<.001,	and	
accounted	for	25.2%	of	the	varia6on	in	Posi6ve	Facial	Expressions	
(Post)	
•  Step	2	Results:	Gender	also	contributed	significantly	to	the	model,	
F(2,29)	=	8.20,	p<0.001,	and	explained	an	addi6onal	10.9%	of	varia6on	
in	Posi6ve	Facial	Expression	(Post)	
•  The	two	variables	(Posi6ve	Facial	Expression	(Pre)	and	Gender)	
accounted	for	36%	of	the	variance	in	Posi6ve	Facial	Expression	(Post)	
CONCLUSION	
	
REFERENCES	
Sedgewick,	F.,	Hill,	V.,	Yates,	R.,	Pickering,	L.,	&	Pellicano,	E.	(2016).	Gender	differences	in	the	social	mo6va6on	and						
						friendship	experiences	of	au6s6c	and	non-au6s6c	adolescents.	Journal	of	Au9sm	and	Developmental	Disorders,46(4),		
						1297-1306.		
Perry,	A.,	Cummings,	A.,	Geier,	J.	D.,	Freeman,	N.	L.,	Hughes,	S.,	Managhan,	T.,	.	.	.	Williams,	J.	(2011).	Predictors	of		
						outcome	for	children	receiving	intensive	behavioral	interven6on	in	a	large,	community-based	program.	Research	in		
						Au9sm	Spectrum	Disorders,	5(1),	592-603.	
	Barry,	T.	D.,	Klinger,	L.	G.,	Lee,	J.	M.,	Palardy,	N.,	Gilmore,	T.,	&	Bodin,	S.	D.		
						(2003).	Examining	the	effec6veness	of	an	outpa6ent	clinic-based	social	skills	group	for	high-func6oning	children	with		
						au6sm.	Journal	of	Au9sm	and	Developmental	Disorders,	33(6),	685-701.		
	
	
SUMMARY	OF	DATA	
	
	
•  As	expected,	posi6ve	facial	expressions	pre-scores	posi6vely	predicted	
posi6ve	facial	expressions	post-scores.	However,	gender	was	also	a	
significant	predictor	for	posi6ve	facial	expressions	post-scores,	even	aer	
controlling	for	posi6ve	facial	expressions	pre-scores	
•  Females	generally	displayed	more	posi6ve	facial	expression	than	males	by	
the	end	of	treatment	
•  Further	understanding	of	why	genders	have	different	performances	will	allow	
bemer	formanng	of	social	skills	groups	to	maximize	treatment	effec6veness	
•  Future	research	should	inves6gate	non-demographic	predictors	of	outcome	
(i.e.	pre-treatment	survey	scores,	post-treatment	self-reported	enjoyment	of	
group,	etc.)	for	social	skills	groups	
	
START	Program	
•  Individual	check-in	session		
•  Free	6me	to	socialize	with	peers		
•  Interac6ve	role-play	
•  Discussion	about	a	weekly	social	skills	
topic	
•  Team-building	ac6vity	
•  Check-out	session	with	parent		
Funding	for	this	study	was	provided	by	the	Organiza?on	for	Au?sm	Research	(OAR)

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Koegel Poster 9.8.16

  • 1. BACKGROUND •  Social skills groups have shown to be an effec6ve interven6on for improving social intelligence for individuals with Au6sm Spectrum Disorder (ASD) (Barry et al., 2003) •  Previous studies that have inves6gated predictors of treatment outcome found that age, IQ, and au6sm severity were significant predictors for adap6ve func6oning post-treatment (Perry et al., 2011) •  Gender has also been inves6gated as a predictor. One study found that female adolescents with ASD are more mo6vated to engage in social interac6ons and have more posi6ve views of friendships than male adolescents with ASD (Sedgewick et al., 2015) •  The limited amount of research on outcome predictors requires more explora6on in order to determine the effec6veness of social skills groups Predictors of Treatment Outcome for the START Socializa?on Interven?on for Adolescents with Au?sm Spectrum Disorder Reyna Rincon, Alvin Chiu, Jordan Ko, Amber Miller, Ty Vernon University of California, Santa Barbara OBJECTIVES To examine predictors of outcome for a non-verbal social skill (posi6ve facial expressions) for adolescents with ASD following par6cipa6on in the START program METHODS Measures Kaufman Brief Intelligence Test (K-BIT): Brief measure of overall IQ Video conversa?ons: All par6cipants par6cipated in a naturalis6c five-minute video recorded conversa6on with an unfamiliar typically developing peer. Conversa6on were held at baseline and end of treatment (Week 20). Trained research assistants coded conversa6ons for posi6ve facial expressions using NOLDUS Observer soware Posi?ve facial expressions: Research assistants coded the behavior in 5-second intervals. The presence of posi6ve facial expressions was coded if par6cipants smiled and/or laughed during each interval Analyses - Hierarchical mul?ple regression Predictors: Age, Overall IQ, Posi6ve Facial Expressions pre- scores (baseline), and Gender START GROUP Social Tools and Rules for Teens (START) •  20-week social skills group interven6on for adolescents with ASD •  Inclusion criteria: Ages 12-17 years, verbal IQ of 70 or above Par?cipants •  35 adolescents diagnosed with ASD (Male: 24, Female: 11) •  Par6cipants were randomly assigned into treatment or waitlist group (control) •  Typically developing high school peers and undergraduate facilitators par6cipated in the program Table 1: Variable Descrip6ve Sta6s6cs and Correla6ons Among Variables Note: Posi6ve Facial Expressions was measured as the average percentage of 6me displaying posi6ve facial expressions during five-minute video-recorded conversa6on * p < .05, ** p < .01 Table 2: Predic6ng Posi6ve Facial Expressions (Post Treatment) Two variables significantly correlated with the posi6ve facial expressions scores aer treatment: 1) Posi6ve Facial Expressions Pre-Scores 2) Gender The β value is a measure of how strongly each individual predictor variable influences the dependent variable (posi6ve facial expression (post)). Both Gender and Posi6ve Facial Expression Pre-Scores posi6vely predicted the Posi6ve Facial Expression Post-Scores Table 3: Summary of Hierarchical Regression Analysis for Variables Predic6ng Posi6ve Facial Expressions (Post Treatment) Note: N = 35; * p < .05, ** p < .01 DATA TABLES Y(Predicted Posi?ve Facial Expression (Post)) = 9.40 + 0.63 * (Posi?ve Facial Expression (Pre))+ 17.19 *(Gender) •  Step 1 Results: Posi6ve Facial Expressions (Pre) contributed significantly to the regression model, F (1,30) = 10.10, p <.001, and accounted for 25.2% of the varia6on in Posi6ve Facial Expressions (Post) •  Step 2 Results: Gender also contributed significantly to the model, F(2,29) = 8.20, p<0.001, and explained an addi6onal 10.9% of varia6on in Posi6ve Facial Expression (Post) •  The two variables (Posi6ve Facial Expression (Pre) and Gender) accounted for 36% of the variance in Posi6ve Facial Expression (Post) CONCLUSION REFERENCES Sedgewick, F., Hill, V., Yates, R., Pickering, L., & Pellicano, E. (2016). Gender differences in the social mo6va6on and friendship experiences of au6s6c and non-au6s6c adolescents. Journal of Au9sm and Developmental Disorders,46(4), 1297-1306. Perry, A., Cummings, A., Geier, J. D., Freeman, N. L., Hughes, S., Managhan, T., . . . Williams, J. (2011). Predictors of outcome for children receiving intensive behavioral interven6on in a large, community-based program. Research in Au9sm Spectrum Disorders, 5(1), 592-603. Barry, T. D., Klinger, L. G., Lee, J. M., Palardy, N., Gilmore, T., & Bodin, S. D. (2003). Examining the effec6veness of an outpa6ent clinic-based social skills group for high-func6oning children with au6sm. Journal of Au9sm and Developmental Disorders, 33(6), 685-701. SUMMARY OF DATA •  As expected, posi6ve facial expressions pre-scores posi6vely predicted posi6ve facial expressions post-scores. However, gender was also a significant predictor for posi6ve facial expressions post-scores, even aer controlling for posi6ve facial expressions pre-scores •  Females generally displayed more posi6ve facial expression than males by the end of treatment •  Further understanding of why genders have different performances will allow bemer formanng of social skills groups to maximize treatment effec6veness •  Future research should inves6gate non-demographic predictors of outcome (i.e. pre-treatment survey scores, post-treatment self-reported enjoyment of group, etc.) for social skills groups START Program •  Individual check-in session •  Free 6me to socialize with peers •  Interac6ve role-play •  Discussion about a weekly social skills topic •  Team-building ac6vity •  Check-out session with parent Funding for this study was provided by the Organiza?on for Au?sm Research (OAR)