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Corrado Matta; Jannika Lindvall; Andreas Ryve – American Journal of Evaluation, 2024
In this article, we discuss the methodological implications of data and theory integration for Theory-Based Evaluation (TBE). TBE is a family of approaches to program evaluation that use program theories as instruments to answer questions about whether, how, and why a program works. Some of the groundwork about TBE has expressed the idea that a…
Descriptors: Data Analysis, Theories, Program Evaluation, Information Management
Haesebrouck, Tim – Sociological Methods & Research, 2023
The field of qualitative comparative analysis (QCA) is witnessing a heated debate on which one of the QCA's main solution types should be at the center of substantive interpretation. This article argues that the different QCA solutions have complementary strengths. Therefore, researchers should interpret the three solution types in an integrated…
Descriptors: Qualitative Research, Comparative Analysis, Data Analysis, Data Collection
Kearney, Christopher A.; Childs, Joshua – Improving Schools, 2023
School attendance and absenteeism are critical targets of educational policies and practices that often depend heavily on aggregated attendance/absenteeism data. School attendance/absenteeism data in aggregated form, in addition to having suspect quality and utility, minimizes individual student variation, distorts detailed and multilevel…
Descriptors: Data Analysis, Attendance, Educational Policy, Causal Models
Hideo Akabayashi; Ryuichi Tanaka – Education Economics, 2024
We present new estimates of the internal rate of return to early childhood education. Utilizing the nationwide expansion of preschool education in Japan between 1960 and 1980, we initially assess the impact of preschool attendance on high school graduation and college enrollment for men. Subsequently, we compute the social rate of return to…
Descriptors: Outcomes of Education, Early Childhood Education, Foreign Countries, School Expansion
Singer, Judith D. – Journal of Research on Educational Effectiveness, 2019
The arc of quantitative educational research should not be etched in stone but should adapt and change over time. In this article, I argue that it is time for a reshaping by offering my personal view of the past, present and future of our field. Educational research--and research in the social and life sciences--is at a crossroads. There are many…
Descriptors: Educational Research, Research Methodology, Longitudinal Studies, Evaluation
Motz, Benjamin A.; Carvalho, Paulo F.; de Leeuw, Joshua R.; Goldstone, Robert L. – Journal of Learning Analytics, 2018
To identify the ways teachers and educational systems can improve learning, researchers need to make causal inferences. Analyses of existing datasets play an important role in detecting causal patterns, but conducting experiments also plays an indispensable role in this research. In this article, we advocate for experiments to be embedded in real…
Descriptors: Causal Models, Statistical Inference, Inferences, Educational Experiments
Nicholson, Scott – Library Quarterly, 2005
Archaeologists have used material artifacts found in a physical space to gain an understanding about the people who occupied that space. Likewise, as users wander through a digital library, they leave behind data-based artifacts of their activity in the virtual space. Digital library archaeologists can gather these artifacts and employ inductive…
Descriptors: Electronic Libraries, Archaeology, Library Services, Human Body
Attewell, Paul A.; Lavin, David E.; Domina, Thurston; Levey, Tania – Journal of Higher Education, 2006
Using college transcripts, we separate the effects of remedial coursework from high school preparation. For two-year colleges, taking remedial classes was "not" associated with less academic success. In four-year colleges, there "are" negative effects of remedial coursework, but many minority students who complete a bachelor's…
Descriptors: Minority Groups, Remedial Instruction, Inferences, Literature Reviews
Grandy, Jerilee – 1995
A longitudinal study was designed in 1986 to investigate why some high-ability minority students follow through with their plans to enroll in college and major in mathematics, science, or engineering (MSE) fields, while others do not. Data came from three sources: (1) 1985 Scholastic Aptitude Test (SAT) files of a sample of minority students…
Descriptors: Ability, Academic Aspiration, Academic Persistence, Academically Gifted