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A statewide quality rating and improvement system: The case for New York
Shapiro, Jessica K.,
Albany, NY: Early Care & Learning Council.

A discussion of lessons for QUALITYstarsNY, the New York State child care quality rating and improvement system (QRIS), from the experiences of QRIS implementation and funding in other states

Fact Sheets & Briefs


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Accreditation as an alternative pathway to quality in QRIS
National-Louis University. McCormick Center for Early Childhood Leadership, Winter 2013
Wheeling, IL: National-Louis University, McCormick Center for Early Childhood Leadership.

A comparison of the Illinois child care quality rating and improvement system (QRIS) ratings that child care centers would receive through either their accreditation status or their observed quality, based on data for 55 accredited child care centers applying to the Illinois QRIS

Reports & Papers


Key elements of a QRIS validation plan: Guidance and planning template
United States. Administration for Children and Families. Office of Planning, Research and Evaluation, February, 2013
Washington, DC: U.S. Administration for Children and Families, Office of Planning, Research and Evaluation.

A guide and tools to ensure that child care quality rating and improvement systems accurately measure and rate quality

Methods


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Quality Profiles in Early Childhood: An Example from Virginia's Quality Rating Improvement System
Squibb, Kathryn, 2012
Old Dominion University

This study examines data collected on the quality of centers participating in Virginia's Quality Rating and Improvement System (QRIS) to identify patterns and profiles of quality in these settings using a clustering technique. Identified patterns are compared with the composite quality level assigned by the state to determine associations with existing quality profiles across Virginia's 290 participating centers. It is expected that two profiles represent "high overall" and "low overall" patterns of quality, in addition to profiles that demonstrate differential levels or relative strengths and weakness among settings with regard to quality. If patterns of quality features do not bear significant associations with the star ratings, this information can be used by state leaders to reexamine thresholds for determining between star levels.

Administration for Children and Families/OPRE Projects


Keystone STARS technical assistance
Pennsylvania. Office of Child Development and Early Learning, February, 2013
(Research Brief Vol. 2, Issue 2). Harrisburg: Pennsylvania, Office of Child Development and Early Learning.

Findings from a comparison of quality improvements in child care providers that received technical assistance services through Keystone STARS, the Pennsylvania child care quality rating and improvement system, to quality improvements in those that did not, based on STAR ratings for 425 technical assistance recipients and 808 matched comparison providers

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QUALITYstarsNY Recruitment Project evaluation report
Widrick, Rebekah M., December, 2012
Albany, NY: Early Care & Learning Council.

An evaluation of efforts to recruit early care and education programs for the 2012-2014 implementation of QUALITYstarsNY, New York State's quality rating and improvement system, based on data collected from 7 recruitment agencies, 419 QUALITYstarsNY applicants, and 9 quality improvement specialists

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Using generalized additive modeling to empirically identify thresholds within the ITERS in relation to toddlers' cognitive development
Setodji, Claude M., April, 2013
Developmental Psychology, 49(4), 632-645

Research linking high-quality child care programs and children's cognitive development has contributed to the growing popularity of child care quality benchmarking efforts such as quality rating and improvement systems (QRIS). Consequently, there has been an increased interest in and a need for approaches to identifying thresholds, or cutpoints, in the child care quality measures used in these benchmarking efforts that differentiate between different levels of children's cognitive functioning. To date, research has provided little guidance to policymakers as to where these thresholds should be set. Using the Early Childhood Longitudinal Study, Birth Cohort (ECLS-B) data set, this study explores the use of generalized additive modeling (GAM) as a method of identifying thresholds on the Infant/Toddler Environment Rating Scale (ITERS) in relation to toddlers' performance on the Mental Development subscale of the Bayley Scales of Infant Development (the Bayley Mental Development Scale Short Form--Research Edition, or BMDSF-R). The present findings suggest that simple linear models do not always correctly depict the relationships between ITERS scores and BMDSF-R scores and that GAM derived thresholds were more effective at differentiating among children's performance levels on the BMDSF-R. Additionally, the present findings suggest that there is a minimum threshold on the ITERS that must be exceeded before significant improvements in children's cognitive development can be expected. There may also be a ceiling threshold on the ITERS, such that beyond a certain level, only marginal increases in children's BMDSF-R scores are observed. (author abstract)

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Children's progress update: Keystone STAR 3 and 4 programs, 2011-2012
Pennsylvania. Office of Child Development and Early Learning, 05 July, 2012
(Research Brief Issue 8). Harrisburg: Pennsylvania, Office of Child Development and Early Learning.

An overview of the growth of children's skills in and families' perceptions of child care programs in the two highest-rated tiers of Keystone STARS, the Pennsylvania child care quality rating and improvement system

Fact Sheets & Briefs


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YoungStar in Wisconsin: Analysis of data as of July 2012
Wisconsin Council on Children and Families,
(YoungStar Progress Report No. 3). Madison, WI: Wisconsin Council on Children and Families.

An exploration of the implementation in Wisconsin of YoungStar, the state child care quality rating and improvement system, including information on child care program ratings and resources devoted to program improvement

Other


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After two years of YoungStar, a more complete picture emerges
Peterangelo, Joseph, March, 2013
(Research Brief Vol. 101, No. 2). Milwaukee, WI: Public Policy Forum.

A study of the implementation of YoungStar, the Wisconsin state child care quality rating and improvement system, in Milwaukee County, based on an analysis of administrative data on Milwaukee County providers during the program's first two years

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Assessing quality across all STAR levels
Pennsylvania. Office of Child Development and Early Learning, January, 2013
(Research Brief Vol. 2, Issue 1). Harrisburg: Pennsylvania, Office of Child Development and Early Learning.

Findings from a study of the relationship of the observed quality of child care programs participating in Keystone STARS, Pennsylvania's child care quality rating system, to their STARS rating, based on data for 46 randomly-selected programs

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Steps to Excellence Project: Pilot process evaluation [Executive summary]
Wold and Associates, 29 November, 2011
Los Angeles: Los Angeles County, Office of Child Care.

A summary of an implementation evaluation of the Steps to Excellence Project (STEP), Los Angeles County's child care quality rating and improvement system, that examines participating providers' experiences of STEP, based on provider surveys, key informant group discussions, and analysis of administrative data

Executive Summary


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Trends in child care licensing: 2011
National Center on Child Care Quality Improvement, August, 2011
Fairfax, VA: National Center on Child Care Quality Improvement.

An examination of state child care licensing requirements and policies, including those related to monitoring and enforcement, ratios and group size, staff qualifications, parent communication, health and nutrition, emergency preparedness, and inclusion

Other


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Steps to Excellence Project: Pilot process evaluation
Wold and Associates, 29 November, 2011
Los Angeles: Los Angeles County, Office of Child Care.

An implementation evaluation of the Steps to Excellence Project (STEP), Los Angeles County's child care quality rating and improvement system, that examines participating providers' experiences of STEP, based on provider surveys, key informant group discussions, and analysis of administrative data

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State child care licensing requirements to promote healthy weight
National Center on Child Care Quality Improvement, February, 2012
Fairfax, VA: National Center on Child Care Quality Improvement.

An overview of provisions in state child care licensing regulations related to nutrition, physical activity, and screen time

Other


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QUALITYstarsNY Readiness Project evaluation report
Ozdogru, Asil A., 31 October, 2012
Albany, NY: Early Care & Learning Council.

An evaluation of training efforts as part of the implementation of QUALITYstarsNY, New York State's quality rating and improvement system, that examines child care providers' experiences of facilitator-led trainings and facilitators' experiences of the training they received themselves, based on a survey of 24 facilitators and 903 child care providers

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Revising state licensing requirements: Readiness for change
National Center on Child Care Quality Improvement, January, 2013
Fairfax, VA: National Center on Child Care Quality Improvement

An overview of considerations for assessing the capacity and readiness of states to revise their child care licensing systems

Fact Sheets & Briefs


YoungStar trends early 2012 to Feb. 2013: Movement toward higher quality ratings
Wisconsin Council on Children and Families,
Madison, WI: Wisconsin Council on Children and Families.

An examination of changes in the quality ratings of child care providers participating in YoungStar, the Wisconsin state child care quality rating and improvement system

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Trends in child care center licensing regulations and policies for 2011
National Center on Child Care Quality Improvement, April, 2013
(Research Brief No. 1). Fairfax, VA: National Center on Child Care Quality Improvement

An analysis of state child care center licensing requirements and policies, including those related to staffing, child-adult ratios, health and nutrition, inspections, monitoring, and enforcement, based on a survey of state child care licensing agencies and a compilation of state licensing requirements

Reports & Papers


Trends in family child care home licensing requirements and policies for 2011
National Center on Child Care Quality Improvement, April, 2013
(Research Brief No. 2). Fairfax, VA: National Center on Child Care Quality Improvement

An analysis of state family child care home licensing requirements and policies, including those related to staffing, group size, health and nutrition, inspections, monitoring, and enforcement, based on a survey of state child care licensing agencies and a compilation of state licensing requirements

Reports & Papers


Trends in group child care home licensing regulations and policies for 2011
National Center on Child Care Quality Improvement, April, 2013
(Research Brief No. 3). Fairfax, VA: National Center on Child Care Quality Improvement

An analysis of state group child care home licensing requirements and policies, including those related to staffing, group size, health and nutrition, inspections, monitoring, and enforcement, based on a survey of state child care licensing agencies and a compilation of state licensing requirements

Reports & Papers


Risk assessment and licensing compliance
National Center on Child Care Quality Improvement, April, 2013
Fairfax, VA: National Center on Child Care Quality Improvement

A presentation of approaches in state child care licensing systems in Florida, North Carolina, Ohio, Oklahoma, Texas, Utah, and Virginia to assessing the risk of harm to children in noncompliant child care facilities

Fact Sheets & Briefs


Infant and toddler care and education in Milwaukee
Wisconsin Council on Children and Families, 2012
Madison, WI: Wisconsin Council on Children and Families.

An overview of Early Head Start programs in Milwaukee, Wisconsin, and an examination of Milwaukee subsidized child care programs serving infants and toddlers and also participating in YoungStar, the state child care quality rating and improvement system, based on administrative data and interviews with directors of highly-rated YoungStar child care progams

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North Carolina 2011 child care market rate study
Brannon, Yevonne S. (Yevonne Sue), August, 2011
Raleigh: North Carolina, Division of Child Development and Early Education.

A study of child care market rates and their geographic distribution across the state of North Carolina by care type, child age, and quality rating and improvement system quality level, and also including information on receipt of nonmonetary contributions, barriers to providing high-quality care, responses to current economic conditions, and subsidized care, based on surveys from 6,843 child care centers and family child care homes

Reports & Papers


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North Carolina 2011 child care market rate study [Executive summary]
Brannon, Yevonne S. (Yevonne Sue), August, 2011
Raleigh: North Carolina, Division of Child Development and Early Education.

A summary of a study of child care market rates and their geographic distribution across the state of North Carolina by care type, child age, and quality rating and improvement system quality level, and also including information on receipt of nonmonetary contributions, barriers to providing high-quality care, responses to current economic conditions, and subsidized care, based on surveys from 6,843 child care centers and family child care homes

Executive Summary


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Research Connections is supported by grant #90YE0104 from the Office of Planning, Research and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services. The contents are solely the responsibility of the National Center for Children in Poverty and the Inter-university Consortium for Political and Social Research and do not necessarily represent the official views of the Office of Planning, Research and Evaluation, the Administration for Children and Families, or the U.S. Department of Health and Human Services.

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