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Analytic Strategy: Child-Level Focus on the set of processes and outcomes most central to 4Rs theory of change 3-Level Hierarchical Linear Model using HLM 6.02 Level 1: Time (4 repeated measurements) Intercept, Slope, Quadratic (only int. & slope for T-report) Level 2: Child Baseline: Gender, Race/Ethnicity, SES Risk, Community Risk, Behavioral Risk, average Y1-Y2 Classroom size, teacher burnout and experience Level 3: School Level TX/Control dummy 8 school match dummies Estimate Tx impact on intercept, slope, and quadratic parameters (employ alpha of p <.1, effect sizes)

Analytic Strategy: Child-Level - steinhardt.nyu.edu talk pt 2...presented in this conference presentation are based on a smaller sample size of children, classrooms, and teachers,

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Analytic Strategy: Child-LevelFocus on the set of processes and outcomes most central to 4Rs theory of change3-Level Hierarchical Linear Model using HLM 6.02

Level 1: Time (4 repeated measurements)Intercept, Slope, Quadratic (only int. & slope for T-report)

Level 2: ChildBaseline: Gender, Race/Ethnicity, SES Risk, Community Risk, Behavioral Risk, average Y1-Y2 Classroom size, teacher burnout and experience

Level 3: School LevelTX/Control dummy8 school match dummies

Estimate Tx impact on intercept, slope, and quadratic parameters (employ alpha of p <.1, effect sizes)

Results: Child-Level TX Main Effects

Significant impacts for 3 of 5 child-reported outcomesHostile Attributional Biases (slope)Child Self-Report Depression (slope)Child Self-Report Aggressive INS (quadratic)Aggressive & Prosocial Fantasies (n.s.)

Significant impacts for 3 of 4 teacher-reported outcomesAggressive Behavior (slope)ADHD Symptoms (slope)Social Competence (slope)Academic Skills (n.s.)

School Records (n.s.)

0 0.75 1.50 2.25 3.000.32

0.38

0.43

0.49

0.55

Time (Fall 3rd Grade Spring 4th Grade)

Control

Treatment

Hos

tile

Attr

ibut

iona

l Bia

s (0

-1)

TX on HAB Slope

Treatment

Control

TX on Aggressive INS Slope

0 0.75 1.50

2.25 3.00 0.17

0.22

0.28

0.34

0.39

Time (Fall 3rd Grade Spring 4th Grade)

Agg

ress

ive

INS

(0-1

)

Control

TreatmentControl

Treatment

TX on TR Aggression Slope

0 0.75 1.50 2.25 3.00 1.55

1.59

1.62

1.65

1.68

Teac

her R

epor

t of A

ggre

ssio

n (1

-4) Control

Treatment

Time (Fall 3rd Grade Spring 4th Grade)

Treatment

Control

TX on Depression Slope

0 0.75 1.50 2.25 3.000.28

0.34

0.41

0.47

0.53

Time (Fall 3rd Grade Spring 4th Grade)

Dep

ress

ion

(0-1

)

Control

Treatment

Treatment

Control

TX on TR ADHD Slope

0 0.75 1.50 2.25 3.00 1.72

1.77

1.83

1.88

1.94

Time (Fall 3rd Grade Spring 4th Grade)

Teac

her R

epor

t of A

DH

D S

ympt

oms

(1-4

) Control

TreatmentControl

Treatment

TX on TR Social Competence Slope

0 0.75 1.50 2.25 3.00 2.62

2.68

2.73

2.79

2.85

Time (Fall 3rd Grade Spring 4th Grade

Teac

her R

epor

t of S

ocia

l Com

pete

nce

(1-4

)

Control

Treatment

Control

Treatment

Results: Tx by Baseline Covariates

No significant Tx by baseline covariate interactions with 3 exceptions….. Tx by baseline behavioral risk interactions significant for:

Teacher-reported Academic SkillsMath AchievementReading Achievement

TX By Baseline Behavioral Risk Math Achievement

Control Treatment 638.4

645.9

653.5

661.0

668.6 Behavioral Risk = 0

Behavioral Risk = 1

Behavioral Risk = 2

Year

2 M

ath

Ach

ieve

men

t Sca

led

Scor

e

ES=.56ES=.18

ES=.14

Presenter
Presentation Notes
There were no significant treatment by baseline covariate interactions with one exception; there was a significant interaction of treatment by baseline behavioral risk for children’s math achievement [12.42 (4.95), p<.05]. Children with the highest level of baseline behavioral risk (based on teacher reports) show the greatest positive difference in math achievement between the intervention and control groups with effects sizes of .56 for a score of 2 on behavioral risk, of .18 for a score of 1, and .14 for a score of 0.

SummaryTogether, these sets of findings indicate two primary types of effects of this universal intervention through the second year.

First, we see effects for the general population of children in two areas directly targeted by the intervention: child reports of social cognitions (i.e., HAB, Agg. INS), and teacher reports of aggressive behavior and social competence. We also see effects for the general population in two areas not specifically targeted by the intervention: child reports of depression and teacher reports of ADHD symptoms. This latter set of findings suggests that this intervention also has crossover effects on outcomes in other domains as early as the second year of the intervention (Durlak & Weissberg, forthcoming).

Second, we see cumulative two-year effects for a targeted group of children at highest behavioral risk in an area directly targeted by the intervention: children’s scores on standardized tests of math and reading skills.

Presenter
Presentation Notes
Together, these sets of findings indicate two primary types of effects of this universal intervention through the second year. First, we see effects for the general population of children in two areas directly targeted by the intervention: child reports of social cognitions (i.e., HAB), and teacher reports of aggressive behavior and social competence. We also see effects for the general population in two areas not specifically targeted by the intervention: child reports of depression and teacher reports of ADHD symptoms. This latter set of findings suggests that this intervention also has crossover effects on outcomes in other domains as early as the second year of the intervention (Durlak & Weissberg, forthcoming). Second, we see cumulative two-year effects for a targeted group of children at highest behavioral risk in an area directly targeted by the intervention: children’s scores on standardized tests of reading skills. We expect these effects to both grow stronger and expand to include additional outcomes in the 3rd year of the intervention when children will have been exposed to a third consecutive year of school-wide implementation of the 4Rs Program, and when teachers presumably will have become increasingly comfortable with and skilled at delivering the content of the lessons. As noted above, our expectation has been that exposure to the 4Rs Program would first influence proximal targets (i.e., social cognitions about health risk behaviors, in particular aggression), which would lead to changes in health risk outcomes in late elementary school or middle school. Indeed, there is growing evidence in the field of prevention science for “sleeper effects,” especially with respect to the prevention of externalizing behaviors such as conduct problems (e.g., Tremblay, Pagani-Kurtz, Masse, Vitaro & Pihl, 1995) and antisocial behavior (e.g., Smolkowski et al., 2005). In our case, we expect that the early and persistent changes we see for 4Rs children in hostile attributional biases will translate into later changes in aggressive and delinquent behavior in late elementary school and middle school when these more serious behaviors begin to increase. In addition, we expect some of the early effects we are observing on depressive symptoms, ADHD symptoms, and prosocial behavior to translate into benefits in other related health risk domains (academic disengagement/failure and substance use; e.g., Eddy, Reid, Stoolmiller & Fetrow, 2003; Lochman & Wells, 2004). It is important here to distinguish our expectations for cumulative effects with increasing intervention exposure and teacher implementation skill in elementary school, from our expectation for sleeper effects of 4Rs in predicting adaptation in middle school in the externalizing domain as well as in related health risk domains such as substance use and school disengagement/failure. The findings we have reported to date through Year 2 of the intervention are consistent with our expectation of cumulative effects, meaning, with increasing exposure to the intervention we see both consistent cross-year effects, as well as additional effects in other domains including a criterial outcome of teacher-reported aggression, and in reading achievement for the highest risk children. In summary, as we continue to analyze the elementary school data, adding the Year 3 waves, we expect to find continued growth in both the size and number of the impacts for these 10 constructs and in particular anticipate seeing additional effects in the externalizing domain.

Next Steps and Future Directions

Next Steps/Future DirectionsMiddle School Follow-Up: “Health Risk Behavior in Late Childhood: Impact of a Longitudinal Randomized Trial”Model impacts of dosage/fidelity (low dosage in TX, high take-up in control schools)

Propensity score matching

Identify clusters of classrooms based on teacher and climate characteristicsFinalize 2nd year and 3rd year child- and classroom-level impactsWhole-school administrative records studyPeer- and Teacher social network study G x E study of “differential susceptibility to intervention”.

Δ Cognitions & Beliefs

Δ Behavioral Dispositions & Relationships

Δ Health Risk Behaviors & Outcomes

Δ Cognitions & Beliefs

Δ Health RiskBehaviors & Outcomes

Δ Behavioral Dispositions & Relationships

4R’sPreventive Intervention

DevelopmentalProcesses

(a) Aggression/Violence; (b) School

Disengagement/Failure,

(c) Depression,(d) Substance Use

Figure 1: Conceptual Model Guiding the Specific Aims of the Proposed StudyElementary School Middle School

Health Risk Behavior in Middle Childhood: Impact of a Longitudinal Randomized Trial

SACD Disclaimer StatementThe Social and Character Development (SACD) research program funded by the Institute of Education Sciences (IES), U.S. Department of Education includes a national evaluation study conducted by Mathematica Policy Research (MPR), and complementary research studies conducted by each grantee. The findings reported here are based on the complementary research activities carried out by Dr. J. Lawrence Aber of New York University under the SACD program. These findings may differ from the results reported for the SACD national evaluation study. The findings presented in this conference presentation are based on a smaller sample size of children, classrooms, and teachers, utilized a different set of outcome measures, and sought to answer complementary research questions. The content of this presentation does not necessarily reflect the views or policies of the SACD Consortium including IES, CDC, and MPR, nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. Department of Education.

End

Program ImplementationYears 1 and 2

Implementation MeasuresImplementation: Tracked and assessed during each of the 3 study years

Training and Ongoing Coaching (SD Logs completed at each point of contact)

Number of (introductory) training sessions attendedNumber (and frequency) as well as type of ongoing Coaching (e.g., one-on-one meetings, classroom visits, etc.)Teacher report pre-post of training

Quality/Quantity 4Rs Instruction (Weekly Teacher Logs)Number of Lessons (that week)Content of Lessons (that week)Qualitative assessment of student receptivity (that week)Ratings of 4Rs lesson quality

Parent/Child Connections (Parent logs for each unit)Number and type of 4Rs hw activities completed for unit.

Year 1-2 Teacher Log

Weekly Teacher Logs - Constructs

Return Rate by school and gradeNumber of “Acts” per week during the year

Mean Number of “Literacy Acts” per weekMean Number of “SEL Acts” per weekMean Number of Total “Acts” per week

Mean amount of time spent on 4Rs per week during the year (1 hour/week)Ratings of student “understanding” and “interest” in 4Rs activities and degree to which they “help meet goals” (range 1 (not at all) to 5 (very))

Key QuestionsWhat are the patterns of implementation over two years, specific to amount and consistency across teachers, grades, and schools in the 9 intervention schools?

Rates of teacher log return by school and gradeAverage levels of teacher implementation per week by school and gradeVariability in implementation by school, teacher, and grade across the Year 1 and Year 2

What is the relationship between variation in implementation in the 9 intervention schools and

teacher background characteristics, teacher ratings of their own social-emotional skills and classroom practices, andindependent assessments of classroom climate?

Additional Measures Teacher Background and Experience (BL)Teacher Social-Emotional Skills & Classroom Practices (BL)

Social-Emotional Learning & SkillsTeacher Beliefs in Social-Emotional Learning

Teacher Stress/BurnoutMaslach Burnout Inventory

Emotional exhaustion, personal accomplishment, depersonalization

Teacher Emotional CompetenceEmotional Ability Scale

Emotion perception, understanding, regulation, and skills

Classroom climate (CLASS; FU1, Spring, 2005)

Sample – Teachers/Classrooms (TX Only)Teacher Grade* Year 1 Year 2

Grades K-2 102, 45% 115, 51%Grade 3 42, 19% 35, 16%Grade 4 35, 15% 35, 16%Grade 5 37, 16% 35, 16%

BL Teacher Race/EthnicityCaucasian 57, 53%Hispanic 19, 18%African American 30, 28%Other 2, 2%

BL Teacher Gender F 92, 88%BL Degree

BA 23, 22%MA 78, 75%Specialist 3, 3%

BL Yrs. Experience as Teacher 6.8 (6.6)BL Yrs. Teaching in this School 4.7 (4.4)

*6th grade not included, Teacher demographic characteristics only available in Year 1

Y1 – Y2 Sample Teachers/Classrooms (TX), n=292

Present Year 1 Only: 67, 23%

Present Year 1 and Year 2: 158, 54%

Present Year 2 Only: 67, 23%

Log Return Rates – % by Year

.79

.90.95*

.83

* Indicates significant difference in return rates in Y2 between Y1/2 vs. Y2 only teachers

Variability in Return Rate by Grade and School – Year 1

Variability in Return Rate by Grade and School – Year 2

Mean Acts/Week by Year

* Indicates significant difference between means in Y2 for Y1/2 vs. Y2 only teachers

*

Variability in Acts/Week by Grade and School – Year 1

Mean Literacy & Applied Learning Acts/Week by Year

*

*

* Indicates significant difference between means in Y2 for Y1/2 vs. Y2 only teachers

Mean Literacy and AL Acts/Week by School & Grade – Year 1

Mean Time/Week by Year

*

* Indicates significant difference between means in Y2 for Y1/2 vs. Y2 only teachers

00.10.20.30.40.50.60.70.80.9

1

Mean Acts MeanLiteracy

Mean Lessons Mean Time

Year 1

Year 2

Pairwise T-Tests Year 1 to Year 2, n=158

*

* Indicates significant difference between means in Y1 and Y2

Y1 Teacher Background Characteristics and 4Rs Mean Implementation Y1 & Y2

(n=~47, 3rd to 4th grade)No gender differences

Older teachers had the highest mean levels of implementation (across constructs, except total time) in Y1

Teachers employed for more years as a teacher at Y1 spent less time implementing 4Rs on average per week

Hispanic teachers conducted more 4Rs literacy and SEL acts than White teachers in Y2 (Black/African American teachers fell in the middle)

Y1 Teacher Social-Emotional Skills and 4Rs Mean Implementation Y1 & Y2

(n=~47, 3rd to 4th grade)

Teachers who report higher levels of burnout in Y1, report conducting more 4Rs literacy and social-emotional learning activities per week in Year 2

No association between teacher beliefs in their role in SEL and teacher perceptions of their emotional ability and 4Rs implementation variables in Year 1 and Year 2

Variability in Implementation Across Year 1Basic unconditional growth model of implementation variables:

Intercept SlopeTotal Acts: 1.41* -.028*Literacy Acts: 0.81* -.017*Applied Learning: 0.61* -.012*Total Time 38.9* -.614*In all cases variances around each parameter are significant.

Presenter
Presentation Notes
Expect to see stability around 1/week. General trend is downward, but cluster around 1 act/week with very little change.

4Rs Implementation and Teacher Characteristics in Year 1 (n=47, 3rd grade)

Baseline predictors of slope:Total Acts

Teacher Age (-.001)Literacy Acts

Teacher Age (-.001)Social Emotional Learning (Applied Learning)

Teacher Age (-.001)Total Time

Teacher Age (-.056)Hispanic vs. White (1.58*)

Teacher reports of emotional ability, total burnout, beliefs in the role of SEL all n.s. for intercept and slope.

CLASS and 4Rs Implementation in Year 1 (n=47, 3rd grade)

Emotional SupportTotal Acts (.022)

Literacy Acts (.011)

Organizational ClimateTotal Acts (-.023)

Literacy Acts (-.012)

SummaryOverall log return rate was reasonable, but greatest for teachers present in both Year 1 and Year 2

Large variability by school and gradeOverall implementation hovered just below 1 activity/week and was ~1/2 the expected time.

Again was higher on average for teachers present in both Year 1 and Year 2, overall lower in Year 2, the lowest on average for those entering in Year 2Dominance of literacy activities over SEL

In general implementation was consistent across the year at ~1 activity/week.

Variability by school and teacher, not by grade

Links to characteristics of teachersTeacher age (older teachers do more on average but decline over the year the most)Teacher self-reported burnout, independent ratings of classroom climate

ConclusionsReturning logs did not necessarily mean teachers were implementing a great deal, particularly the SEL activities

They were doing one activity/week but for ~½ the expected time. Overall implementation declined in the second year, but was highest for stable teachers

Teachers who were experiencing greater symptoms of burnout are targeted by program staff developers and spend more time working on/with the program

OR, spending time on 4Rs is too much and is exhausting some teachersOR, the most committed and exhausted do the most

Implementation and observations of climate aren’t clearly linked. Should consider profiles of implementation and climate.Ongoing work includes summarizing other components (training, ongoing coaching, parent homework and workshops)