Texas Impact: Evaluation Report for Teach For America
CORE’s recent evaluation examined the overall impact of Teach For America (TFA) on academic outcomes within one year. It replicates and expands on existing evidence about TFA impacts and describes the various conditions that differentially contribute to effectiveness in various Texas settings.
Reports
Executive Summary of 2017 Evaluation Findings; Big Thought, Dallas City of Learning
In the summer of 2017, Big Thought supported a network of summer learning providers through an initiative called Dallas City of Learning (DCoL). By providing some financial assistance, training, curriculum and supplies, networking, transportation, and other supports, Big Thought sought to increase the likelihood that high quality programming was reaching Dallas youth throughout the summer months.
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Summary of 2017 Evaluation Findings; Dallas Afterschool
Why Propensity Score Matching? Propensity Score Matching (PSM) helps create an “apples to apples” comparisons of students who participated in a DAS afterschool program and those who did not. This means that differences between the groups can be reasonably attributed to the intervention (to afterschool) instead of to other factors.
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Technical Report; Effects of Sustained Quality in Pre-K, Kindergarten, and First Grade in DallasISD
In collaboration with DallasISD, CORE is monitoring the effects of high quality early childhood. Our results show sustained positive effects for attending PreK in DallasISD and even more benefits when PreK is high quality and is followed by high quality kindergarten and first grade too.
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Executive Summary; Sustained Quality in Early Grades
A study conducted by SMU’s Center on Research and Evaluation (CORE) shows that DallasISD students in high- quality PreKindergarten (PreK), Kindergarten, and 1st grade classrooms outperform their peers in lower quality classrooms.
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Commentary; Cascading Impact of Quality Pre-K
How do we know whether PreK is worth the investment? The best method to assess the true impact, and therefore the value of PreK over time is to measure the quality of PreK followed by the quality of Kindergarten, first, second, and even third grade.
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Articles
Intervening with Struggling Readers in Seventh Grade: Impact Evidence from Six School Districts
Baker SK, Nelson NJ, Stoolmiller M, Paine PK, Turtura J, Crone D, and Fien H (2018) Intervening with Struggling Readers in Seventh Grade: Impact Evidence from Six School Districts, Journal of Research on Educational Effectiveness, DOI: 10.1080/19345747.2018.1472357
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Evaluation of Analysis Approaches for Latent Class Analysis with Auxiliary Linear Growth Model
Kamata A, Kara Y, Patarapichayatham C and Lan P (2018) Evaluation of Analysis Approaches for Latent Class Analysis with Auxiliary Linear Growth Model. Front. Psychol. 9:130. doi: 10.3389/fpsyg.2018.00130
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Using Propensity Score Matching to Estimate Treatment Effects of Afterschool Programs on Third‐grade Reading Outcomes
Baker SK, Kamata A, Wright A, Farmer D, Nippert R. Using propensity score matching to estimate treatment effects of afterschool programs on third-grade reading outcomes. J Community Psychol. 2018;1–18.https://doi.org/10.1002/jcop.22104.
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Evaluation of Ability Estimates Under Bi-factor Testlet Model
Patarapichayatham, C., Kamata, A. (2018). Evaluation of ability estimates under bi-factor testlet model. Journal of Graduate Studies.
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Parameter Recovery for the 1-P HGLLM with Non-normally Distributed Level-3 Residuals
Kara, Y., Kamata, A. (2017). Parameter recovery for the 1-P HGLLM with non-normally distributed level-3 residuals. Educational Sciences: Theory & Practice, 17, 1165-1177.
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A Two-step Sampling Weight Approach to Growth Mixture Modeling for Emergent and Developing Skills with Distributional Changes Over Time
Nese, J. F. T., Kamata, A., Tindal, J. (2017). A two-step sampling weight approach to growth mixture modeling for emergent and developing skills with distributional changes over time. Journal of School Psychology, 61, 55-74.
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Assessment of Biological, Psychological and Adherence Factors in the Prediction of Step-down Treatment for Patients with Well-controlled Asthma
Saito, N., Kamata, A., Itoga, M., Tamaki, M., Kayaba, H., Ritz, T. (2017). Assessment of biological, psychological and adherence factors in the prediction of step-down treatment for patients with well-controlled asthma. Clinical & Experimental Allergy. 47, 467-478.
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