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K. L. Anglin; A. Krishnamachari; V. Wong – Grantee Submission, 2020
This article reviews important statistical methods for estimating the impact of interventions on outcomes in education settings, particularly programs that are implemented in field, rather than laboratory, settings. We begin by describing the causal inference challenge for evaluating program effects. Then four research designs are discussed that…
Descriptors: Causal Models, Statistical Inference, Intervention, Program Evaluation
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Hong, Guanglei; Qin, Xu; Yang, Fan – Journal of Educational and Behavioral Statistics, 2018
Through a sensitivity analysis, the analyst attempts to determine whether a conclusion of causal inference could be easily reversed by a plausible violation of an identification assumption. Analytic conclusions that are harder to alter by such a violation are expected to add a higher value to scientific knowledge about causality. This article…
Descriptors: Statistical Inference, Probability, Statistical Bias, Statistical Analysis
Hughes, Katherine L.; Miller, Trey; Reese, Kelly – Grantee Submission, 2021
This report from the Career and Technical Education (CTE) Research Network Lead team provides final results from an evaluability assessment of CTE programs that feasibly could be evaluated using a rigorous experimental design. Evaluability assessments (also called feasibility studies) are used in education and other fields, such as international…
Descriptors: Program Evaluation, Vocational Education, Evaluation Methods, Educational Research
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Bloom, Howard S.; Spybrook, Jessaca – Journal of Research on Educational Effectiveness, 2017
Multisite trials, which are being used with increasing frequency in education and evaluation research, provide an exciting opportunity for learning about how the effects of interventions or programs are distributed across sites. In particular, these studies can produce rigorous estimates of a cross-site mean effect of program assignment…
Descriptors: Program Effectiveness, Program Evaluation, Sample Size, Evaluation Research
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Vela, Adriana; Jones, Don; Mundy, Marie-Anne; Isaacson, Carrie – Research in Higher Education Journal, 2017
This ex-post-facto quasi-experimental research design was conducted by selecting a convenient sample of approximately 2,000 3rd grade ELLs who took the regular reading and math English STAAR test during the 2014-15 school year in an urban southern Texas school district. This study was conducted using a quantitative research method of data…
Descriptors: Bilingual Education Programs, Quasiexperimental Design, Reading Tests, Mathematics Tests
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da Silva, Aleksandra do Socorro; de Brito, Silvana Rossy; Martins, Dalton Lopes; Vijaykumar, Nandamudi Lankalapalli; da Rocha, Cláudio Alex Jorge; Costa, João Crisóstomo Weyl Albuquerque; Francês, Carlos Renato Lisboa – International Journal of Distance Education Technologies, 2014
Evaluating and monitoring large-scale distance learning programs require different techniques, systems, and analysis methods. This work presents challenges in evaluating and monitoring digital inclusion training programs, considering the aspects inherent in large-scale distance training, and reports an approach based on network and distance…
Descriptors: Social Networks, Network Analysis, Distance Education, Program Evaluation
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Cooper, Darren; Higgins, Steve; Beckmann, Nadin – Journal of Educational Technology Systems, 2017
Online instructional videos are becoming increasingly common within education. This study adopts a quasi-experimental 2 × 2 crossover design (control and experimental groups) to evaluate the efficacy of instructional videos to teach practical rehabilitation skills. The students performed practical sessions in class and were formatively assessed by…
Descriptors: Video Technology, Educational Technology, Teaching Methods, Supplementary Education
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Ho, Sarah P.; Odom, Summer F. – Journal of Leadership Education, 2015
Students (N = 313) in undergraduate leadership degree programs at Texas A&M University were surveyed to determine their leadership mindset using hierarchical and systemic thinking preferences. Significant differences in thinking were found between gender and academic classification. Male leadership students scored greater in hierarchical…
Descriptors: Undergraduate Students, Student Attitudes, Leadership Training, Academic Degrees
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What Works Clearinghouse, 2014
This "What Works Clearinghouse Procedures and Standards Handbook (Version 3.0)" provides a detailed description of the standards and procedures of the What Works Clearinghouse (WWC). The remaining chapters of this Handbook are organized to take the reader through the basic steps that the WWC uses to develop a review protocol, identify…
Descriptors: Educational Research, Guides, Intervention, Classification
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Bliss, Carolyn; Webb, Jeff; St. Andre, Mark – Journal of General Education, 2012
This article reports the results of a quantitative matching study investigating the impact on first-year students of a two-semester learning community. Results indicate a statistically significant association between LEAP participation and academic performance measured by retention, GPA, and time to graduation. Participation was associated with…
Descriptors: Grade Point Average, Academic Achievement, Program Effectiveness, Program Evaluation
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Raudenbush, Stephen W.; Sadoff, Sally – Journal of Research on Educational Effectiveness, 2008
A dramatic shift in research priorities has recently produced a large number of ambitious randomized trials in K-12 education. In most cases, the aim is to improve student academic learning by improving classroom instruction. Embedded in these studies are theories about how the quality of classroom must improve if these interventions are to…
Descriptors: Elementary Secondary Education, Error of Measurement, Statistical Inference, Program Evaluation
Rosenthal, James A. – Springer, 2011
Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to…
Descriptors: Statistics, Data Interpretation, Social Work, Social Science Research