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Usama Ghayas Syed; Shikha Dixit – Journal of Psychoeducational Assessment, 2024
The Grit--short scale measures consistency and perseverance for long-term goals. In the present study, we translated and adapted the Grit--short scale into Hindi (Grit-SH) and examined its within-network and between-network construct validity among Indian adolescents. The participants were 534 senior secondary school students aged 14 - 18 years…
Descriptors: Indians, Indo European Languages, Resilience (Psychology), Persistence
Brizard, Jean-Claude – Digital Promise, 2023
Talladega County Schools (TCBOE) spans 760 square miles and serves about 7,000 learners, 71 percent of whom receive free and reduced-priced meals. It also is a member of the League of Innovative Schools, a network of forward-looking school districts that have declared their commitment to improving and advancing equitable outcomes for students…
Descriptors: Educational Innovation, Educational Technology, Scaling, Student Centered Learning
Soland, James; Kuhfeld, Megan; Register, Brennan – Educational Assessment, 2023
Much of what we know about how children develop is based on survey data. In order to estimate growth across time and, thereby, better understand that development, short survey scales are typically administered at repeated timepoints. Before estimating growth, those repeated measures must be put onto the same scale. Yet, little research examines…
Descriptors: Comparative Analysis, Social Emotional Learning, Scaling, Effect Size
Ghaemi, Hamed – Language Testing in Asia, 2022
Listening comprehension in English, as one of the most fundamental skills, has an essential role in the process of learning English. Mokken scale analysis (MSA) is a probabilistic-nonparametric approach to item response theory (IRT) which determines the one-dimensionality and scalability of test. Mokken scaling techniques are a useful tool for…
Descriptors: Second Language Learning, English (Second Language), Nonparametric Statistics, Item Response Theory
Kohei Yata – ProQuest LLC, 2022
This dissertation presents two essays on econometric methods for program evaluation and policy choice. In Chapter 1, I develop a statistically optimal way of using data to make policy decisions when the performance of counterfactual policies is only partially identified. Specifically, I consider a class of statistical decision problems in which…
Descriptors: Program Evaluation, Policy Analysis, Foreign Countries, School Community Programs
Jhenai Wilkerson Chandler – ProQuest LLC, 2020
Diversity in the science, technology, engineering, and mathematics (STEM) workforce is in continual demand among underrepresented minorities and women. Of particular concern is the disproportionality low rates of Black women in STEM in relationship to their science and engineering (S&E) degree attainment and overall representation in the…
Descriptors: Disproportionate Representation, Females, STEM Careers, Blacks
Ayanwale, Musa Adekunle; Ndlovu, Mdutshekelwa – Education Sciences, 2021
This study investigated the scalability of a cognitive multiple-choice test through the Mokken package in the R programming language for statistical computing. A 2019 mathematics West African Examinations Council (WAEC) instrument was used to gather data from randomly drawn K-12 participants (N = 2866; Male = 1232; Female = 1634; Mean age = 16.5…
Descriptors: Cognitive Tests, Multiple Choice Tests, Scaling, Test Items
Keller, Lena; Lüdtke, Oliver; Preckel, Franzis; Brunner, Martin – Educational Psychology Review, 2023
Intersectional approaches have become increasingly important for explaining educational inequalities because they help to improve our understanding of how individual experiences are shaped by simultaneous membership in multiple social categories that are associated with interconnected systems of power, privilege, and oppression. For years, there…
Descriptors: Equal Education, Intersectionality, Hierarchical Linear Modeling, Educational Research
Robitzsch, Alexander; Lüdtke, Oliver – Large-scale Assessments in Education, 2023
One major aim of international large-scale assessments (ILSA) like PISA is to monitor changes in student performance over time. To accomplish this task, a set of common items (i.e., link items) is repeatedly administered in each assessment. Linking methods based on item response theory (IRT) models are used to align the results from the different…
Descriptors: Educational Trends, Trend Analysis, International Assessment, Achievement Tests
Hana Lahr; Serena C. Klempin; Davis Jenkins – Community College Research Center, Teachers College, Columbia University, 2023
In 2015, the American Association of Community Colleges (AACC) announced the AACC Pathways Project, a national initiative designed to support a cohort of community colleges to implement and scale whole-college guided pathways reforms. When the project launched, guided pathways was still a new idea. Yet, momentum was building around a set of…
Descriptors: Educational Innovation, Community Colleges, Program Implementation, Educational Change
Mickelsson, Martin; Kronlid, David O.; Lotz-Sisitka, Heila – Environmental Education Research, 2019
This article aims to introduce a view of scaling as a learning process. In the article we discuss the concept of 'scaling up' or 'scaling' of Education for Sustainable Development (ESD) activities on the basis of how 'scaling up' ESD is highlighted in the UNESCO Global Action Programme (GAP) on ESD. Drawing on a Deweyan theory of learning as…
Descriptors: Scaling, Environmental Education, Sustainable Development, Learning Processes
Sandra F. San Miguel; Lindley McDavid; Loran Carleton Parker; Micha C. Simons – Journal of STEM Outreach, 2019
This article describes an approach to designing a scalable career development curriculum for elementary school students using minimal-cost and readily available resources. Content experts, veterinary medical students, university staff, teachers, community partners, evaluation experts, and a children's book illustrator developed a library of…
Descriptors: STEM Education, Career Development, Elementary School Students, Curriculum Development
Andersen, Martin S.; Makransky, Guido – Journal of Computer Assisted Learning, 2021
Measuring cognitive load is important in virtual learning environments (VLE). Thus, valid and reliable measures of cognitive load are important to support instructional design in VLE. Through three studies, we investigated the validity and reliability of Leppink's Cognitive Load Scale (CLS) and developed the extraneous cognitive load (EL)…
Descriptors: Test Construction, Test Validity, Test Reliability, Cognitive Processes
Larson, Kristine E.; Pas, Elise T.; Bottiani, Jessika H.; Kush, Joseph M.; Bradshaw, Catherine P. – Journal of Positive Behavior Interventions, 2021
Student engagement is a multidimensional construct influenced by complex student, classroom, and school factors. Although prior research has examined various dimensions of student engagement, few studies have adopted a multilevel approach to simultaneously incorporate observational measures of classroom practices with student and school factors.…
Descriptors: Hierarchical Linear Modeling, Learner Engagement, Classroom Techniques, Multidimensional Scaling
Forthmann, Boris; Grotjahn, Rüdiger; Doebler, Philipp; Baghaei, Purya – Journal of Psychoeducational Assessment, 2020
As measures of general language proficiency, C-tests are ubiquitous in language testing. Speeded C-tests are quite recent developments in the field and are deemed to be more discriminatory and provide more accurate diagnostic information than power C-tests especially with high-ability participants. Item response theory modeling of speeded C-tests…
Descriptors: Item Response Theory, Timed Tests, Language Tests, Goodness of Fit