Methods for creating indices of child well-being: Examples from the National Survey of America’s Families Sharon Vandivere, Kristin Anderson Moore, Laura.

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Methods for creating indices of child well-being: Examples from the National Survey of America’s Families Sharon Vandivere, Kristin Anderson Moore, Laura Lippman, and Cameron McPhee June 27, 2007 International Society for Child Indicators

Research questions When comparing how children in different U.S. states fare using a child well-being index, how are results affected by the... –Index calculation method? –Use of different data sources? –Measurement of well-being versus context?

Method: Types of data used “Micro” or person-level –Data on individual children –A separate index score is created for each individual child –So, data must come from a single source –Index scores can be aggregated for geographic areas or population groups –Of course, can be used to generate aggregate indicator estimates, or “macro” data, as well

Method: Types of data used “Macro” or aggregate: –Indicator data are already aggregated for geographic areas –So, can use data from multiple sources in a single index –Can use various types of data (vital statistics, survey data, census data)

3 Index Calculation Methods Two “macro” methods and one “micro” method –KIDS COUNT index of the condition of children (macro level) –FCD-Land child well-being index (macro level) –NSAF index (micro level)

KIDS COUNT index of the condition of children (macro) Developed by Annie E. Casey Foundation to compare the well-being of children across the 50 states in the U.S. Method: convert each of 10 indicator values into a standard score for each state –i.e., subtract state indicator value from mean across 50 states and divide by standard deviation Sum the standard scores

KIDS COUNT index of the condition of children (macro) 10 indicators: –Child poverty –Non-secure parental employment –Single parent families with children –Infant mortality –Low birthweight babies –Child deaths (age 1-4) –Teen births (age 15-17) –Teen deaths (age 15-19) –High school dropout –Teens not employed and not in school

FCD-Land child well-being index (macro) Funded by the Foundation for Child Development, developed by Kenneth Land Developed to assess trends over time Published since 2004 using 1975 data on Each indicator is indexed according to relative change from a base year

FCD-Land index of child well-being (macro) Uses 28 indicators at the U.S. level in 7 domains: –Family economic well-being –Health –Safety and behavior –Educational attainment; –Community connectedness –Social relationships –Emotional & spiritual well-being

NSAF index (micro) Index assesses average number of problems per child Includes 28 indicators in 3 domains of well-being –Health and safety –Education –Social and emotional development …and in 2 domains of context: –Family processes –Sociodemographic risk

NSAF index (micro) Each indicator represents a problem or negative context Within each domain, sum up the number of items that apply to each child Weight each domain score so that maximum possible score is 10 Sum across domains to create well-being index score (max=30) and condition of children score (max=50) Calculate average across children to obtain U.S., state, or other subgroup index scores

Summary of methods KIDS COUNT method - MACRO –Assesses differences in levels across geographic regions or groups FCD-Land method - MACRO –Assesses change from year to year NSAF method - MICRO –Assesses number of problems per child

Using the NSAF to compare methods To test how results would differ across methods, we used the National Survey of America’s Families (NSAF). Cross-sectional data: 1997, 1999, American states Access to data on individual children (i.e. micro data) Includes measures of well-being and context of children Rich data for children ages 6-11 & 12-17

Our steps Calculate index scores using the 3 different methods for children in the 13 American states –For 3 time points –For children 6-11 and –For well-being and for the “condition of children” (i.e., the combination of well-being and context) Calculate state-level index correlations and state rankings across calculation method, years, & for well-being and for the condition of children

Our steps Compare NSAF state ranking results to results from original KIDS COUNT rankings (which do not use NSAF data) Compare the NSAF state rankings using 3 different methods to each other

State rankings for original KIDS COUNT index vs. NSAF well-being indices: ages 6-11, 2002

State rankings for original KIDS COUNT index vs. NSAF condition-of-children indices: ages 6-11, 2002

State rankings for NSAF indices using micro vs. KIDS COUNT method: ages 6-11, 2002

State rankings for NSAF indices using micro vs. FCD-Land method: ages 6-11, 2002

State rankings for NSAF indices using KIDS COUNT vs. FCD-Land method: ages 6-11

State rankings for NSAF indices assessing well-being vs. condition of children: ages 6-11

Summary None of the rankings based on the 3 index calculation methods are identical to the rankings based on the original KIDS COUNT index rankings NSAF rankings also differed across the 3 methods of calculation The biggest difference in results is when comparing the FCD-Land method to the KIDS COUNT macro method and to the micro method Child Trends developed.

Summary State rankings are sensitive to the method of index creation, data source, and to the inclusion of well-being versus condition of children items in the index Thus, though no method or type of data is necessarily better than others, understanding differences and implications is important.

Limitations Limitations of the availability of items in existing data sources, and limitations of availability of micro data and in the geographic areas represented Difficult to choose which items to include How can/should relative importance of different indicators be reflected?

Recommendations for method choice To measure change in average rate of problems within a state (independent of absolute level of problems)  FCD-Land macro method To measure how the level of a state’s problems compare overall with other states  KIDS COUNT macro method To assess average # of problems per child in a state  NSAF micro method

Recommendations for method choice Distinguishing between well-being and context is important –Indicators of well-being are direct indicators of how children are faring –Indicators of context pertain to aspects of children’s environments that can influence their well-being