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Johnson, Sara K. – New Directions for Child and Adolescent Development, 2021
Developmental scientists are often interested in subgroups of people who share commonalities in aspects of development; these subgroups often cannot be captured directly but instead must be inferred from other information. Mixture models can be used in these situations. Two specific types of mixture models, latent profile transition analyses and…
Descriptors: Profiles, Child Development, Developmental Psychology, Models
Annie E. Casey Foundation, 2025
For 36 years, the "KIDS COUNT® Data Book" has provided a clear, consistent overview of children's well-being, using federal data collected across all 50 states. These reliable national- and state-level measures help leaders see where there is progress, where greater support is needed and which strategies are making a difference. By…
Descriptors: Trend Analysis, Well Being, Child Development, Child Health
Antonio A. Morgan-López; Catherine P. Bradshaw; Rashelle J. Musci – Grantee Submission, 2023
This paper serves as an introduction to the special issue of Prevention Science entitled, "Innovations and Applications of Integrative Data Analysis (IDA) and Related Data Harmonization Procedures in Prevention Science." This special issue includes a collection of original papers from multiple disciplines that apply individual-level data…
Descriptors: Prevention, Depression (Psychology), Intervention, Innovation
Reisner, Elizabeth R. – Policy Studies Associates, Inc., 2004
As demand for after-school services has grown, the public has responded with support for growth in federal, state, and local funding for these services. As in other successful grassroots movements, this high level of support is evident across groups with diverse objectives. Some after-school advocates are mainly interested in increasing the supply…
Descriptors: Evaluation Methods, After School Programs, Accountability, Program Effectiveness