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July 24, 2014 QRIS National Meeting – Denver, Colorado Leveraging Technical Assistance Data to Support QRIS

Leveraging Technical Assistance Data to Support QRIS · information, and information into insight.” Carly Fiorina, Former CEO - Hewlett-Packard Co . 10 ... Leveraging Data to Answer

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Page 1: Leveraging Technical Assistance Data to Support QRIS · information, and information into insight.” Carly Fiorina, Former CEO - Hewlett-Packard Co . 10 ... Leveraging Data to Answer

July 24, 2014

QRIS National Meeting – Denver, Colorado

Leveraging Technical Assistance Data to Support QRIS

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Overview of Session

o Introductions and Overview

o A Review of the Research

o Leveraging TA Data

o Promising State Practices & Insights

o Practices in Pennsylvania & South Carolina

o Challenges and Limitations

o Group Discussion

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Facilitators and Panelists

o Early Learning Challenge Technical Assistance

Michelle Thomas, State Support Team

Kenley Branscome , State Support Team

o University of South Carolina Yvonne and Schuyler

Moore Child Development and Research Center

Herman Knopf, Research Director

o Pennsylvania Key

Katrina Coburn, Director of Workforce Development and

CQI Initiatives

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Purpose of Today’s Discussion

Help states to understand the ways in which they can

leverage technical assistance data from QRIS and data

from other systems to inform the evaluation of quality

improvement strategies ands strengthen management

practices for QRIS and related systems.

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Objectives for Today’s Discussion

During today’s discussion, states will:

Learn about promising practices

and insights from other states

Identify important data elements

and data linkages to consider

Learn about critical challenges and

limitations

Learn about tools and resources

that can assist with defining policy

questions and data elements

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Review of the Research: Improving Outcomes

Overall, coaching is inked to:

o Improved learning environments

o Improved practices, including teacher-child interactions

o Improved developmental outcomes for children

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Review of the Research: Effective Features

Effective features of coaching and consultation include:

o Uses a clearly specified approach or model

o Linked to other professional development

o Tends to follow a general sequence

o Tracks the progress of coaches (and teachers they serve)

o Tracks the fidelity of implementation

o Provides support to coaches and opportunities to process

the work with a peer or supervisor

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Review of the Research: Importance of Data

Research indicates that it is important to consider:

o Dosage of TA (e.g. frequency, duration, span)

o Type of TA (e.g. consultation, coaching, mentoring, PLC)

o Purpose of TA (e.g. specific rating goal, curriculum implementation,

domain specific practices)

o Specific TA strategies used (e.g. observation, modeling, assessment,

feedback)

o Content of TA received

o Qualifications of TA provider

o Recipient of TA (e.g. lead teacher, team of teachers)

o Mode of TA (e.g. in-person, video, phone)

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“The goal is to turn data into

information, and information

into insight.”

Carly Fiorina, Former CEO -

Hewlett-Packard Co

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Data relevant to technical assistance may exist in multiple systems.....

Linking data from different systems can provide new information to answer essential research and management questions

Workforce

Registry

QRIS Data

System Training

Registry

Subsidy

Data

System

Licensing

Data

System

Multiple Systems May Contain Data Relevant to TA

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Leveraging Data to Answer Essential Questions

From those systems, states can leverage data on....

Early Learning Program & Practitioner Demographics

Technical Assistance Provider Demographics and Qualifications

Quality Improvement Plans and Technial Assistance Activities

Technical Assistance Delivery Methods

To answer essential research and management questions related to QRIS and other

quality initiatives

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o What specific features of TA are linked to

positive outcomes (e.g. Dosage, Intensity)?

o Is TA more likely to be associated with positive

outcomes if the program receiving TA is

operating at a certain level of quality

(threshold)?

o Are there particular TA approaches/methods

that are more highly correlated with positive

outcomes?

Example Questions States Are Trying to Answer

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Example Questions States Are Trying to Answer

(Cont’d) o Are there particular qualifications for coaches that are

more highly correlated with positive outcomes?

o Are there particular TA approaches/methods that are

more successful with home vs. center programs?

o Are TA specialists responding to TA requests within the

expected response timeframe(s)?

o Is the supply of TA specialists adequate to meet the

demand for services within each operating region of

the state?

Reflection: Think about 1-2 questions your state is trying to

answer about TA being provided to programs in QRIS. Jot them

down, we will come back to them.

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Promising State Practices

o States are using TA data to answer essential research questions related

to the impact that TA has on program quality

o States are linking their TA data to other ECE systems to reduce data

collection burden and reduce duplicative data entry

o States are using mobility technology to collect TA data to produce

efficiencies and strengthen TA data quality

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State Insights

o Start small (if you can) and scale up only at times when the

system is stable

o Qualitative data can be useful in case-specific issues, but can be

a challenge for broader quantitative analysis

o High stakes may make trades offs necessary between collecting

data elements that are required for funding and those that

measure other important outcomes

o Engage TA consultants and researchers early and often during the

development of data systems to ensure you collect the most

essential data elements

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References

o Aikens, N., & Akers, L. (2011). Background review of existing literature on coaching: Final report.

Los Angeles: First 5 LA. Retrieved April 16, 2012, from

http://www.first5la.org/files/07110_502.2CoachingLitRev_FINAL_07072011.pdf.

o Smith, S., Robbins, T., Schneider, W., Kreader, J., & Ong, C. (2012). Coaching and quality

assistance in quality rating improvement systems: Approaches used by TA providers to improve

quality in early care and education programs and home-based settings. New York: Columbia

University, National Center for Children in Poverty. Retrieved February 7, 2012, from

http://nccp.org/publications/pdf/text_1047.pdf.

o Tout, K. (2013). Quality Improvement Supports in QRIS. Presentation to the National Center for

Research on Early Childhood Education Spring 2013 Quality Improvement Meeting. Available at:

http://curry.virginia.edu/research/centers/castl/ncrece-spring-2013-meeting

o Tout, K., Isner, T. K., & Zaslow, M. (2011). Coaching for quality improvement: Lessons learned from

quality rating and improvement systems (QRIS). Washington, DC: Child Trends. Retrieved May 25,

2011, from http://www.childtrends.org/Files//Child_Trends-2011_04_27_FR_CoachingQuality.pdf.

o United States. Department of Education. Policy and Program Studies Service. (2011). Cross-site

evaluation of the Early Childhood Educator Professional Development Program. Washington, DC:

U.S. Department of Education, Policy and Program Studies Service. Retrieved June 2, 2011, from

http://www2.ed.gov/programs/eceducator/ecepdbrief.pdf.

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Let’s Hear From You!

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FINDING OUT WHAT WORKS

Pennsylvania

Katrina Coburn

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Technical Assistance

o Providers request TA through their Regional Key, which will

support them to maintain or increase their STAR level.

o A Technical Assistance Organization and TA Consultant will be

assigned to work with the facility to develop an Action Plan.

The Action Plan will include goals and action steps the

facility will work towards in order to improve their standards

and ultimately achieve their target STAR level.

Pennsylvania STARS

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Technical Assistance in STARS Programs

o STARS TA

o Infant/Toddler Specialist Program

o Child Care Health Consultation

o School Age Child Care TA

o School Age Child Care – After School Quality TA

o Certification Referral Technical Assistance

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PELICAN Overview

Department of Public Welfare’s initiative to create a system that integrates the

Department’s child care programs under a single management information system

o All child care services

information is managed in

PELICAN

o Prior to 2011/12 STARS

Technical Assistance (TA)

Process was predominantly

paper-based

o K2Q Phase 2 initiative

incorporated the STARS TA

program into the K2Q

system

Certification

PA Pre-K Counts

Early Learning Network

Child Care Works

Keys to Quality

Child Assessment

Technical Assistance

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o Request for TA/Program/ Facility Information

o Intake/Contact Log

o Action Plan

o Progress Interaction Log

o TA Organization and consultant

o Goals Met/Not Met

o Close-Evaluated Process

What is collected in PELICAN?

Pennsylvania Early Learning Keys to

Quality

Technical Assistance

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STARS TA Accountability & Quality Assurance

Measurable impact on provider

80%

Qualifications, Professional Development & Professionalism

90%

Reporting Obligations

90%

Basic eligibility Knowledge of system, standards, process Required and ongoing professional development Appropriate preparation for consultation

Timeliness, accuracy of reports Records maintained for referrals Timely follow-up and completion of referral Communication with Regional Key Meets targets

Reviews plans Closed-Evaluated between April 1 and March 31 on the following factors:. Achievement of specific goals as identified in Action Plan (80%*) STAR level change (min. 33% meet)

* Up to 10% may be justifiably exempt

Pennsylvania Early Learning Keys to

Quality

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Pennsylvania Early Learning Keys to

Quality

Keystone STARS Technical Assistance

Research Brief

(February, 2013)

o 425 providers received some form of STARS TA

o Average of 17.9 Hours Direct Service per Action Plan

o Odds of moving up a STAR level 4.3 times higher than for those providers who did not receive TA

o Most effective for Group Child Care providers

o Most effective at lower STAR Levels

o http://www.ocdelresearch.org/

Measureable Impact on Provider

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Lessons Learned

o Professional development for all TA Consultants on

action plan and goal writing

o Strategies as a data field in PELICAN

o Considerations for specialty discipline TA types

(Business, Health and Safety) in certification

process

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o Alignment of all TA services to new Core

Knowledge Competencies

o TAAP for ECMH Blended Model

o Technical Assistance Strategies Recommendations

o Interaction Log Standards

o Technical Assistance Sustainability Plans

What’s Next in Pennsylvania?

Pennsylvania Early Learning Keys to

Quality

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EVOLUTION OF TA IN SOUTH CAROLINA:

A JOURNEY DICTATED BY PURPOSE

Herman Knopf

University of South Carolina

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Stage 1: Began with Varied Regional Reporting

Department of Social Services

Region1

Region 2

Region 3

Region 4

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Stage 1: Had Single Purpose and Single Consumer

Purpose

•Accountability

Consumer

•DSS

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Stage 2: Began Using CCR&R to Collect Reports

Regions

CCR&R

DSS

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Stage 2: Expanded Purpose of Reporting

DSS •Accountability

CCR&R

•Productivity

•Accountability

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Stage 3: Centralized Data Entry

Regions

CCR&R Data entry

services included

DSS

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First TA Form Had “Too Much Information”

SC#CCR&R#Network#TA#Summary# Page#1#

!

On-Site Technical Assistance Summary CCR&R

Date: TA Start Time: TA End Time:

TA specialist

Early Childhood Program: Administrator Name:

Location Address: Email: Phone:

County: Years of Experience: Director TA Yes No

Education Level: High School CDA ECE Certificate ECE Associate Degree ECE Bachelor Degree

ECE Master or Higher Other

Referral Source/

Contact Initiated By

Early Childhood Program

DSS Licensing ABC Program ABC Special Needs

PITC Network SC First Steps Other:

License Type

Licensed Registered

Approved Exempt Provisional

Pending

Type of Care

Child Care Center Family Child Care

Group Family Child Care Preschool School-Age

Head Start Specialty Center Family, Friend, Neighbor

In-Home

ABC Program

A+ A B+ B

C N/A

Consultee

Owner Director Teacher(s)

Assessment Tool

ITERS ECERS

SACERS FCCERS BAS

PAS CLASS Licensing

Level B Other:

Program Statistical Data

# of Classrooms

# Children Enrolled # Staff # Staff Master Degree

# Staff ECE BA Degree # Staff ECE AA Degree # Staff ECE Certificate

Classroom Statistical Data # Children Enrolled

# Children w/ SN: # Staff:

Target Area(s)

Activities/Curriculum

Child Development Health-Safety Nutrition

Physical Activity Soc-Emo / Behavior Language-Reasoning

Parent Involvement Program Structure

Space & Furnishing

Arrangement / Schedules Special Needs Staff Development

Business Plan/ Admin Policies & Procedures Disaster plan

Other:

Type of Technical Assistance # of Visits :

Type I-Issue Focused

(Content specific -topical, immediate or crisis

intervention

Type II-Guided

(Formal assessment-based, targeting specific key areas that improve global program quality)

Type III-Reflective (Provider identified goals and shared formal assessment)

Objectives : Technical Assistance Overall Goal

Resolve Corrective Action Maintain License in Good Standing Achieve Licensing Status Increase ABC Score above 80% Maintain ABC Rating Level Increase ABC Rating

Achieve Quality Improvement Plan Increase ERS Subscale Score Increase ERS Overall Score

Follow-Up Reason for Visit: (description of request for TA: supervision problems, ratios)

Development of Action Plan

Schedule ERS Assessment Schedule On-Site Staff Training (Target Area, Reflection) Early Learning Standard Resource Library Materials

Training Opportunities in Community Community/Curriculum Resources

Date of Next Contact: Time: Objective: Click!here!to!enter!text. Signature of Consultee: _ Date:

!!!!!!

SC#CCR&R#Network#TA#Summary# Page#2#

!

Notes

Classroom 1 Title: # of children attending: Duration of visit:

TA type: Age of Children in classroom

First Visit Infant/Toddler 0-2

Plan of Action development Preschool 3-5 Observation School Age 6-12 Mentoring Multi – age (what ages):

Assessment Training (on-site

Children w/ Special Needs yes no; if yes, # TA topic :

#1 Teacher Name: # Years of Experience: Email:

Education Level: High School CDA ECE Certificate ECE Associate Degree ECE Bachelor Degree ECE Master or Higher

#2 Teacher Name: # Years of Experience:

Email: Education Level: High School CDA ECE Certificate ECE Associate Degree !

Target Areas: Activities/Curriculum Child Development

Health-Safety Nutrition Physical Activity

Soc-Emo / Behavior Language-Reasoning Parent Involvement

Program Structure Space & Furnishing Arrangement / Schedules

Special Needs Staff Development Policies & Procedures

Disaster plan Other:

ECE Bachelor Degree ECE Master or Higher

Outcome of visit:

Do you feel that the objectives of the TA visit were sufficiently met/accomplished?

Strongly Agree Agree Disagree Strongly Disagree

Actions to be taken by Provider before next visit::

Actions to be taken/resources to be provided by CCR&R TAP before next visit:

!

Technical!Assistant!!!!!!!!!!!!!!!!!!!!!!!!!!!!Teacher!!! !!!!!!!!!!!!!Date!!!!!!!! !!!!!

!

!

!

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Stage 3: Expanded Purpose of Reporting

DSS • Accountability

CCR&R

• Productivity

• Accountability

• Research

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Stage 4 – Balance of Information

Regions

CCR&R

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Stage 4 – Regional Offices Began Using the Data

DSS • Accountability

CCR&R

• Productivity

• Accountability

• Research

Regions • Productivity

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Began Discussing Internal Reports

o Had rich discussion on:

The interpretation on elements of the report

Better efficiency

Better measurement of effectiveness

Better reflection of the complexity in the field

– Specifically intensity of services

– Duration of services

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Consumers and Purpose Changed Over Time

Consumer

DSS

CCR&R

Regions

Purpose

Accountability

Productivity

Research

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Measurement Issues We Grappled With

o Successful completion of the task – activities list

o Content of TA (appropriateness of action plan, time spent at the

CCP, etc.)

Vs.

o Intensity

Vs.

o Duration

Vs.

o Increase in quality level

Vs.

o System change - maintenance of behavioral change

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Who is the right evaluator for TA?

o TAP

Vs.

o CCP

Vs.

o CCR&R Director

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Revised Data System

41

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Program Information

42

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Gathering Context

43

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Employees

44

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Facility TA History

45

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Action Plan- Sessions

46

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Activities

47

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Plan Closeout

48

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Lessons Learned in South Carolina

o Importance of engaging key stakeholders – including TA specialists

and evaluators - early and throughout the design and

implementation process

o Ability to import data into tables in SAS supports more robust

analytic capabilities

o Importance of attending to the usefulness of all data you are

attempting to collect

o Leveraging data from other systems reduces burden of data

collection

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What’s Next in South Carolina?

o Continued testing and refinement of TA data system

o System wide implementation

o Connect TA data with Child Care Training Registry data

o Use data to better understand the form and function of Technical

Assistance

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Questions for Pennsylvania and South Carolina?

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Leveraging TA Data: Challenges and Limitations

o Balancing the value of TA data with the burden of data collection

o Maintaining data quality throughout the data lifecycle

o Distinguishing between research questions that can be answered

with administrative data and those that may require supplementary

data from scientifically drawn samples or other sources

o Keeping up with the data needed for new policy directions and new

initiatives

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Leveraging TA Data: Key Data Elements

Early Learning Program and Practitioner Demographics

Provider Name & ID

Program Type

Practitioner Name & ID

Capacity

Subsidy Participation

Accreditation

Curriculum Used

Screenings & Assessment

Quality Initiatives

QRIS Level

TA Provider Demographics and

Qualifications

Agency Name

Agency ID

TA Consultant Name

TA Consultant ID

TA Consultant ID

TA Consultant Education

TA Consultant Credentials

Registry Status

TA Activities and Quality Improvement Plan Goals

TA Activity Number

TA Domain

Activity Open/Close Date

TA Agency Assigned

TA Consultant Assigned

QI Plan

QI Plan Status

QI Plan Goals

TA Methods and Strategies

TA Contact Date

TA Contact Type

TA Intervention Type

TA Intervention Duration

Outcome of TA

Indirect TA Duration

Classroom(s)

Age Group(s)

Note: Data elements may be collected in QRIS data system or linked to from other data systems.

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Resources to Keep in Mind

• Existing Resources:

– INQUIRE QRIS Data Tool Kit

– INQUIRE QRIS Evaluation Tool Kit

• Coming Soon:

– QRIS Compendium Update

– ELC TA’s Brief on Leveraging TA Data To Support QRIS

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Group Discussion and Sharing

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Let’s Stay in Touch….

o Feel free to reach out to us after

today:

Michelle Thomas

[email protected]

Kenley Branscome

[email protected]

o Go to www.elcta.org to learn more

about ELC TA

“Data that is loved tends to

survive.”

Kurt Bollacker, Data Scientist –

Freebase/Infochimp