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1.

Working with the Head Start Impact Study Center Analysis File
Akmon, Dharma; Madden, Kristin; Ciarico, Janet; et al., 15 November, 2017
Ann Arbor, MI: Inter-university Consortium for Political and Social Research

This webinar provides a review of and tips for using the Center Analysis File. Presenters discuss using the weights and merging the Center Analysis File with other Head Start Impact Study (HSIS) restricted use files. They also share examples of producing statistics using the Center Analysis and other HSIS data.

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2.

Head Start Impact Study Center Analysis File overview
Akmon, Dharma; Ciarico, Janet, 14 November, 2017
Ann Arbor, MI: Inter-university Consortium for Political and Social Research

This webinar provides an overview of the Head Start Impact Study (HSIS) and information about access to the data and the use of the Virtual Data Enclave (VDE). Presenters introduce the new Center Analysis File, along with its risk disclosure analysis and data masking process. It also reviews its variables and data sources, and provides file resources such as the user's guide, codebook, and reports.

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3.

Using administrative data to address policy-relevant research questions in early care and education
Maxwell, Kelly; Lin, Van-Kim Bui; Bradburn, Isabel; et al., 21 June, 2017
Bethesda, MD: Child Trends

This webinar highlights three resources that can assist researchers in using early care and education administrative data. Additionally, it provides researchers' perspectives based on experience throughout their projects. The first resource examines the benefits of and strategies for developing collaborative partnerships with researchers and state agencies. The second resource was created to help researchers determine the feasibility of using administrative data by posing questions related to data policies and procedures, data contacts and coordination, and data usability. The third resource presents topics to consider when preparing to analyze administrative data to address child care and early education research questions.

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4.

Sharing data at ICPSR: Introducing the ICPSR Deposit Manager!
Detterman, Linda; Israel, Abay; Noble, Justin; et al., 20 June, 2017
Ann Arbor, MI: Inter-university Consortium for Political and Social Research

This webinar demonstrates ICPSR's Deposit Manager system, released in June 2017. ICPSR's Deposit Manager provides data depositors more control over how data and documentation files are presented to the ICPSR curation team and more communication regarding project status and updates. This customizable deposit workspace offers more flexibility in terms of accepted files types and sizes, project deposit collaboration space, and a history and deposit status that will initiate with your first deposit into the new system.

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5.

NSECE webinar: Schedules of work and child care in the NSECE
Datta, A. Rupa; Milesi, Carolina, 24 May, 2017
Chicago, IL: NORC

This webinar examines key components of the National Survey of Early Care and Education (NSECE) Household Survey, with particular focus on adult calendar data content. It considers research issues regarding parental employment that may be addressed using household calendar data. Examples of basic constructs derived from the adult calendar are presented.

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6.

NSECE webinar: Defining type of care in the NSECE
Datta, A. Rupa, 26 January, 2017
Chicago, IL: NORC

This webinar discusses type of care definitions as related to those used in the National Survey of Early Care and Education (NSECE) data files, particularly the Household Survey, the Center-Based Provider Survey, and the Home-Based Provider Survey. It presents a brief overview of the NSECE design, which provides researchers with some flexibility in defining type of care for various analyses. Similarities and differences in types of care across data files are also addressed.

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7.

Doing something differently: Lessons learned from a case study using implementation science to guide program change
Mathias, Debi; Perkins, Kelley; Isik-Ercan, Zeynep; et al., 12 December, 2016
Boston, MA: Build Initiative

This webinar discusses implementation science and how it can guide quality improvement initiatives and inform technical assistance. Presenters explore the role of implementation teams, data and feedback loops, and infrastructure as core elements that support continuous quality improvement. A case study of Rowan University's Early Childhood Demonstration Center in New Jersey provides an example of how these core elements are incorporated within stages of implementation. Implications for program administrators and technical assistants are discussed.

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8.

Finding and exploring existing large-scale data to study early care and education among Hispanics
Lopez, Michael; Grindal, Todd; Bleckley, David; et al., 13 October, 2016
New York: Child Care & Early Education Research Connections

This webinar, held on October 13, 2016, was hosted by Research Connections and the National Research Center on Hispanic Children and Families and was intended to help researchers learn about several new early care and education data resources. The National Research Center on Hispanic Children and Families recently released a series of data briefs and interactive tools to facilitate the access and use of existing, large-scale data sets to examine policy-relevant questions about early care and education use among low-income Hispanic families. The webinar introduced the series of four early care and education data briefs and described data sets that were included; described the use of the interactive tools; and provided two illustrative examples of how to use the briefs and interactive tools to access the most relevant data set(s) that will best help answer researchers' questions.

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9.

Between deposit and release: Research Connections and your data
Bleckman, Johanna; Noble, Justin, 18 August, 2016
New York: Child Care & Early Education Research Connections

One way that Research Connections promotes secondary research and policy making is by performing data processing and enhancement on deposited research data in order to add value to data by making them easier to use for secondary analysis. The purpose of this video is to describe the process of archiving data with Research Connections and understand Research Connections' role in archiving your data. Viewers will: (1) Discover the benefits of contributing your research data to the Research Connections data archive. (2) Understand the ICPSR "pipeline" for processing and enhancement and the steps that Research Connections performs on your data before releasing a study on the Research Connections website. (3) Learn data management tips and techniques that can be incorporated into your research project to facilitate a smooth transition to the Research Connections archive at project completion.

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10.

State spotlight: Early childhood integrated data system: Vermont Insights
Cochenour, Missy; Adams, Nick; Squirrell, Sarah; et al., 22 June, 2016
Washington, DC: National Center for Education Statistics, State Support Team

This webinar discusses Vermont's early childhood integrated data system and features a tour of Vermont Insights, an online interactive site that allows users to access publicly available early childhood data to create tools, reports, and other resources.

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11.

Using community assessment to advance cultural competence and racially equitable outcomes for young children and their families
vonBargen, Nancy; Ray, Aisha; Killins, Sherri; et al., 10 June, 2016
Fairfax, VA: National Center on Early Childhood Quality Assurance

This webinar discusses ways in which State, Territory, and Tribal leaders and program directors can use community assessment data to promote equity in early care and education programs and services. Case studies around transportation and workforce are presented to demonstrate how Head Start's Five Steps to Community Assessment framework can be used in various situations to identify new or underserved populations, and ultimately develop data-based strategic plans toward equitable care and education of young children.

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12.

Quality investments: How to use administrative data and other sources to evaluate what's working [Session 3]
Hamilton, Darlene; Ruprecht, Karen; Tout, Kathryn; et al., 02 June, 2016
Fairfax, VA: National Center on Early Childhood Quality Assurance

This webinar examines considerations involved in the interpretation and sharing of quality initiative evaluation findings. Presenters discuss both data analysis strategies and communication strategies for disseminating results to providers, parents, policymakers, and funders. Examples from Indiana and Minnesota demonstrate the process by which evaluation results inform practice and policy.

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13.

Quality investments: How to use administrative data and other sources to evaluate what's working [Session 2]
Hamilton, Darlene; King, Carlise; Bollick, Leigh; et al., 21 April, 2016
Fairfax, VA: National Center on Early Childhood Quality Assurance

This webinar examines data collection options and provides assistance in navigating administrative data by offering a tool to create a map of existing sources. Presenters from South Carolina and Georgia share processes for the identification of data for analysis within quality initiative evaluation.

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14.

Quality investments: How to use administrative data and other sources to evaluate what's working [Session 1]
vonBargen, Nancy; Schumacher, Rachel; Tout, Kathryn; et al., 24 March, 2016
Fairfax, VA: National Center on Early Childhood Quality Assurance

This webinar provides an introduction to evaluation planning and offers steps in developing a logic model to guide states with quality initiative evaluation. Particular attention is paid to the potential role of administrative data. Presenters share examples of implementation strategies from several diverse states that are using evaluation findings to aid in program planning and policy shaping.

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15.

Making informed decisions: A guide to understanding early education research
Mathias, Debi; Squires, James H., 24 February, 2016
New Brunswick, NJ: Center on Enhancing Early Learning Outcomes

This webinar examines ways in which one can identify high quality, evidenced-based early care and education research both in general and within the realm of building quality rating and improvement systems (QRIS). Selected QRIS issues are addressed which include: the school readiness achievement gap; early education/Head Start academic outcomes; early education investment (cost-benefit ratio); program environment, policies and practices; measuring quality; and teacher/administrator qualifications and credentials. Reliable research resources are shared and ensuing discussion focuses on translating research into practice.

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16.

Understanding and using the Head Start CARES Data: An introductory webinar
Bleckman, Johanna; Mattera, Shira K.; Mancini, Patrizia; et al., 17 December, 2015
New York: Child Care & Early Education Research Connections

This webinar provides an overview of the Head Start CARES (Classroom-based Approaches and Resources for Emotion and Social-skill Promotion) data sets in terms of design, study sample, key measures, and implementation/impact findings. An introduction to impact analysis examines topics such as random assignment design, analysis models and variables, and data masking. Demonstration of data retrieval from the Research Connections website highlights publicly available data, as well as how to apply for restricted data access.

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17.

Data collection and use: An early childhood perspective
Bourassa, Jacqueline; Irwin, Clare W.; Zweig, Jacqueline; et al., 13 August, 2015
Washington, DC: Regional Educational Laboratory Northeast & Islands

This webinar presents findings from a study that explores the collection and use of data in several New England preschool programs. Analysis focuses on three domains: early learning outcomes (math, reading, and social-emotional); classroom quality measures; and dosage. The report addresses the challenges of combining multiple sources of data, as well as advising awareness of multiple explanations that can occur within data analysis. Presenters focus on data collection and use at both state and program levels.

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18.

Digging into the NSECE: Exploiting the potential of the household and provider data from the National Survey of Early Care and Education (NSECE): Prices and cost in the NSECE
Datta, A. Rupa, July, 2015
New York: Child Care & Early Education Research Connections

This video presentation discusses price and cost definitions as related to those used in the National Survey of Early Care and Education (NSECE).

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19.

Digging into the NSECE: Exploiting the potential of the household and provider data from the National Survey of Early Care and Education (NSECE): Populating the calendar file (CAPI demo)
Datta, A. Rupa, July, 2015
New York: Child Care & Early Education Research Connections

This video presentation provides a Computer Assisted Personal Interview (CAPI) demo used to capture non-parental child care provision data to populate the calendar file used in the National Survey of Early Care and Education (NSECE).

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20.

Improving data infrastructure to recognize Hispanic diversity in the United States
Lopez, Michael; Barrueco, Sandra; Guzman, Lina; et al., 01 July, 2015
Bethesda, MD: National Research Center on Hispanic Children and Families

This webinar identifies available data elements and discusses how measures can be improved to better reflect Hispanic sub-groups, with implications for researchers and policymakers.

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21.

Digging into the NSECE: Exploiting the potential of the household and provider data from the National Survey of Early Care and Education (NSECE): Using household and provider data to measure enrollment, usage
Datta, A. Rupa, July, 2015
New York: Child Care & Early Education Research Connections

This video presentation discusses the availability and potential uses of the non-parental care usage and enrollment data found in the National Survey of Early Care and Education's (NSECE) household and provider data files. Topics examined include: usage definition; types of variables provided; which data set to use (household or provider); considerations in choosing a data file; and advantage comparisons to using each dataset.

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22.

Digging into the NSECE: Exploiting the potential of the household and provider data from the National Survey of Early Care and Education (NSECE): Type of care in the NSECE
Datta, A. Rupa; Connelly, Jill, July, 2015
New York: Child Care & Early Education Research Connections

This video presentation discusses definitions of specific types of care, along with samples used in the National Survey of Early Care and Education (NSECE).

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23.

Digging into the NSECE: Exploiting the potential of the household and provider data from the National Survey of Early Care and Education (NSECE): Age of child in the NSECE
Milesi, Carolina, July, 2015
New York: Child Care & Early Education Research Connections

This video presentation examines both definition distinctions concerning age of child and types of care used in the National Survey of Early Care and Education (NSECE).

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24.

Getting better and better: How three QIS/QRIS systems are moving forward with quality
Mathias, Debi; Hayes, Mary; Brown-Kendall, Rachael; et al., 17 June, 2015
Boston: Build Initiative

This webinar examines ways in which states and localities are using data as a tool to improve their quality rating and improvement systems (QRIS). Presenters from Palm Beach, Florida, as well as New York and Washington State, discuss the implementation of expanded data-based systems in their states, the outputs of which have provided information valuable to stakeholder decisionmaking.

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25.

Early Head Start Family and Child Experiences Survey (Baby FACES) 2009: Data training
Bleckman, Johanna; Cannon, Judith; Vogel, Cheri; et al., 27 May, 2015
New York: Child Care & Early Education Research Connections

This webinar provides training in the use of data from the Early Head Start Family and Child Experiences Survey (Baby FACES) 2009. Overviews of the study's design and methodology, along with information on data access and files, analytic and technical issues, software options, and data usage rules are included.

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26.

An overview of: "A resource guide for Head Start programs: Moving beyond a culture of compliance to a culture of continuous improvement"
Derrick-Mills, Teresa, 25 March, 2015
Washington, DC: U.S. Administration for Children and Families, Office of Planning, Research and Evaluation

This webinar provides an overview of "A resource guide for Head Start programs: Moving beyond a culture of compliance to a culture of continuous improvement". The presentation includes background information on the Head Start Leadership, Excellence, and Data Systems (HS LEADS) study, in addition to a section-by-section overview of the elements in the resource guide.

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27.

Family partnerships and family engagement in early care and education: Measuring relationships between families and providers, teachers, and family services staff
Mathias, Debi; Kim, Kwang; Atkinson, Valerie; et al., 25 March, 2015
Boston: Build Initiative.

This webinar discusses the Family and Provider/Teacher Relationship Quality (FPTRQ) project, which aims to develop measures to assess the quality of the relationship between families and providers/teachers of early care and education. Five measures have been created (each with a short form) and include: 1) Provider/Teacher Measure; 2) Parent Measure; 3) Director Measure; 4) Family Services Staff Measure; and 5) Family Services Staff Parent Measure. The presenters explore the features of each measure, along with reliability information and instructions for measure access, administration, and scoring.

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28.

QRIS ratings and outcomes: Psychometric issues and validation
Mathias, Debi; Soliday-Hong, Sandra; Sabol, Terri J.; et al., 23 February, 2015
Boston: Build Initiative

This webinar discusses the challenges and opportunities involved in validating quality ratings and improvement systems (QRIS). Focus is on the alignment of quality indicators, both indirect and direct, with child academic and socio-emotional outcomes. A simulated QRIS study based on two datasets (National Center for Early Development and Learning multi-state study and the State-Wide Early Education Programs study) is presented as an example of validating existing QRIS using various state rating structures such as a point, building block, or hybrid system. In addition, a meta-analysis study is featured to illustrate psychometric properties of scale development. The psychometric issues examined include item selection, dimensionality, item scoring, and reliability standards.

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29.

Measuring, monitoring, and improving the quality of work life in early childhood programs
Mathias, Debi; Bloom, Paula Jorde; Bella, Jill; et al., 20 January, 2015
Boston: Build Initiative

This webinar introduces the Early Childhood Work Environment Survey (ECWES), a tool that assesses ten dimensions of organizational climate in early childhood programs. It highlights the integration of this survey into broader quality initiatives. Presenters discuss ways in which several states (Texas, Illinois, and Minnesota) are using this measure in their quality enhancing projects.

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30.

Supporting babies through QRIS: A self-assessment tool for U.S. States & other jurisdictions
Mayoral, Maria Victoria; Hughes, Christine; Robbins, JoEllen; et al., 18 November, 2014
Washington, DC: Zero to Three

This webinar provides an overview of Zero to Three's Quality Rating and Improvement Systems (QRIS) Self-Assessment Tool, which can help identify strengths, opportunities, and gaps in the system. Presenters from Utah and Miami share their QRIS vision for continuous quality improvement, along with examples of standards and supports for infants and toddlers.

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31.

Understanding and using data from the 2013 NIEER State of Preschool Yearbook for policy, planning, and program improvement
Squires, James H.; Carolan, Megan E.; Corr, Gregg; et al., 23 September, 2014
New Brunswick, NJ: Center on Enhancing Early Learning Outcomes

This webinar examines the role of data in preschool-3rd grade reform, based on annual preschool data from the states, focusing on national highlights and trends. The following questions are addressed: (1) Why does high quality preschool matter in a P-3rd grade context? (2) What do the 2013 Yearbook data tell us? and (3) How can you use this data in providing technical assistance to states?

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32.

For researchers: Quality connections in early care and education: Measuring relationships between families and providers or teachers
Torres, Alicia; Kim, Kwang; Ramos, Manica F.; et al., 10 September, 2014
Washington, DC: U.S. Administration for Children and Families, Office of Planning, Research and Evaluation

This webinar provides information to researchers considering the use of the Family and Provider/Teacher Relationship Quality (FPTRQ) measures in their work. It presents an overview of the project and explores the development and description of the measures, along with their psychometric properties. Instructions for access, administration, and scoring of the measures are included.

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33.

For practitioners: Quality connections in early care and education: Measuring relationships between families and providers or teachers
Torres, Alicia; Kim, Kwang; Ramos, Manica F.; et al., 10 September, 2014
Washington, DC: U.S. Administration for Children and Families, Office of Planning, Research and Evaluation

This webinar provides information for practitioners using the Family and Provider/Teacher Relationship Quality (FPTRQ) measures. It presents an overview of the project and explores the development and description of the measures, along with their psychometric properties. Instructions for access, administration, and scoring of the measures are included.

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34.

For state and local administrators: Quality connections in early care and education: Measuring relationships between families and providers or teachers
Torres, Alicia; Kim, Kwang; Ramos, Manica F.; et al., 08 September, 2014
Washington, DC: U.S. Administration for Children and Families, Office of Planning, Research and Evaluation

This webinar focuses on providing information to state and local administrators using the Family and Provider/Teacher Relationship Quality (FPTRQ) measures. It presents an overview of the project and explores the development and description of the measures, along with their psychometric properties. Instructions for access, administration, and scoring of the measures are included.

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35.

Engaging families in the assessment process and use of data: An early childhood example
Keizer, Janice; Schrotberger, Heather; Walker, Dale; et al., 12 August, 2014
Washington, DC: Regional Educational Laboratory Northeast & Islands

This webinar provides an overview of the Research Program Partnership at the University of Kansas and its work at Educare of Kansas City. Presenters share strategies for using child data as a tool to inform daily practice, to promote family engagement, and to plan within programs and agencies.

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36.

Development of the CECER-DLL Parent and Teacher Questionnaires: New tools for characterizing preschool DLLs' experiences
Gillanders, Cristina; Hammer, Carol Scheffner; Scarpino, Shelly E.; et al., 12 March, 2014
New York: Child Care & Early Education Research Connections

The Center for Early Care and Education Research-Dual Language Learners (CECER-DLL) has developed parent and teacher questionnaires to document the characteristics of Dual Language Learners (DLLs), their families, and their classrooms, as well as DLLs' experiences with their two languages. This webinar presents the content of questionnaires, the process used to develop them, preliminary findings from a validation study, and the next steps in the development process.

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37.

Data management: Best practices for producing high quality data
Tout, Kathryn; Martinez-Beck, Ivelisse; Johns, Laura; et al., 16 May, 2013
(INQUIRE Webinar Series, Webinar 3). Washington, DC: U.S. Administration for Children and Families, Office of Planning, Research and Evaluation.

This webinar will provide an overview of best practices in data management. These practices promote data integrity and ensure that high quality data are available for reporting, monitoring and evaluation.

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38.

Overview and application of the INQUIRE data tools to support high quality early care and education data
Tout, Kathryn; Martinez-Beck, Ivelisse; King, Carlise; et al., 20 March, 2013
Washington, DC: U.S. Administration for Children and Families, Office of Planning, Research and Evaluation.

This webinar begins with an introduction to the data tools developed by INQUIRE. The tools include a comprehensive data matrix, a data dictionary, and examples of linking data with key policy questions. Each tool is described briefly with information about how it is useful to states. Next the webinar provides an in-depth description of each tool as well as state participants who can provide examples of the "real world" application of the tools.

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39.

Weighting and variance estimation in early care and education data: A training and Q&A
West, Jerry, October, 2012
New York: Child Care & Early Education Research Connections

This webinar provides an introduction to the use of weights and a presentation on the estimation of variance and the place of standard errors in secondary analyses of national early childhood and education data sets.

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40.

Implementation science part 2: Examples from the states
Lake, Dianne; Halle, Tamara; Swenson-Klatt, Deborah L.; et al., 12 September, 2012
New York: Child Care & Early Education Research Connections

This webinar contains three presentations on the intersection of implementation science and child care and early education quality improvement initiatives. The first presentation presents a framework for the use of implementation science in quality rating and improvement systems (QRIS). The second presentation shares Minnesota's experience of using implementation science in the implementation of Parent Aware, the state's QRIS. The third presentation is on the application of implementation science by the National Center on Child Care Professional Development Systems and Workforce Initiatives (PDW Center) in their professional development activities.

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41.

Using the RC website and the CCDF Policies Database
Gottesman, David; Lawrence, Sharmila; Durham, Christin; et al., September, 2012
New York: Child Care & Early Education Research Connections

This webinar provides virtual tours and examples of the use of the Child Care & Early Education Research Connections (RC) Web site and the Child Care and Development Fund (CCDF) Policies Database.

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42.

Effective analysis of the Child Care and Development Fund (CCDF) administrative data
Bleckman, Johanna; Aschaffenburg, Karen, 15 August, 2012
New York: Child Care & Early Education Research Connections

This webinar describes the public CCDF Administrative Data Series, it explains how to use the data, and it reviews the ACF-801 data reporting requirements. Several concrete research questions with an analytic strategy are discussed. Finally, an effective research/analysis process is summarized.

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43.

Implementation Science Part 1: Professional development systems
Halle, Tamara; Young, Billie, 30 May, 2012
Washington, DC: National Center on Child Care Professional Development Systems and Workforce Initiatives

This webinar provides an outline of the principles and methods of Implementation Science and an explanation of their potential use in the context of early childhood professional development systems. The presentation includes an analysis of implementation components, steps involved in creating readiness for change, use of the Fit and Feasibility tool developed by the National Implementation Research Network, and the importance of data collection and reporting. Numerous examples are supplied to illustrate the application of Implementation Science methods to integrated professional development systems in states.

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44.

Validating the quality rating and improvement systems (QRIS)
Martinez-Beck, Ivelisse; Boller, Kimberly; Rudisill, Shannon; et al., 15 March, 2012
Washington, DC: U.S. Administration for Children and Families, Office of Planning, Research and Evaluation.

This webinar presents a framework, examples, challenges, lessons learned, and guidance for the validation of state Quality Rating and Improvement Systems (QRIS).

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45.

Head Start Family and Child Experiences Survey (FACES) 2006 Cohort online training and Q&A
West, Jerry; Roach, Julia; Malone, Lizabeth M.; et al., 16 November, 2010
New York: Child Care & Early Education Research Connections

This webinar provides a detailed description of the available data and potential uses of the dataset of the Head Start Family and Child Experiences Survey (FACES), 2006 Cohort. Included in this presentation are discussions of the study's purposes, design, and technical issues, as well as detailed descriptions of data collection instruments, data file variables, approaches to data weighting, and other issues related to the use of FACES 2006 data in secondary analyses studies.

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46.

Selection of geographic unit for market price study and maximum rate setting
Davis, Elizabeth E.; Grobe, Deana; Weber, Roberta B. (Bobbie); et al., 18 September, 2008
(4th in series of Child Care Market Rate Survey webinars). New York: Child Care & Early Education Research Connections

This webinar describes the choices available to states in the selection of geographic units when studying child care market rates. It shares author research on price clusters. It describes current practices of states. Lastly, it discusses technical issues related to the choice of geographic units. Examples are given from a study of market rates in Minnesota.

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47.

Choice of data sources and data collection methods
Weber, Roberta B. (Bobbie); Grobe, Deana; Davis, Elizabeth E.; et al., 16 September, 2008
(3rd in series of Child Care Market Rate Survey webinars). New York: Child Care & Early Education Research Connections.

This webinar is a discussion of methodology used in the Guidance for Validating Child Care Market Rate Surveys project. It includes an assessment of the methods used to study the effects of data sources and data collection methods on resulting measurements of child care prices.

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48.

Guidance for producing accurate price findings
Weber, Roberta B. (Bobbie), September, 2008
New York: Child Care & Early Education Research Connections

This webinar presents a series of insights discovered in the process of conducting the research of the Guidance for Validating Child Care Market Rate Surveys project. Overviews are provided to discoveries made about ways to approach the topics of cost of conducting surveys, data sources, samples, data collection, pricing practices, price conversions, and price variation within geographic units, all within a study of child care market rates.

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49.

Analysis methods including price conversions and the exclusion of facilities not in the priced child care market
Weber, Roberta B. (Bobbie); Grobe, Deana; Davis, Elizabeth E.; et al., September, 2008
New York: Child Care & Early Education Research Connections

This webinar describes the complications presented by price conversions (for example, hourly prices to monthly prices) in child care market rate surveys. It also addresses the issue of accounting for child care sites not in the priced child care market and which are excluded from consideration in market rate surveys.

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