NotesFAQContact Us
Collection
Advanced
Search Tips
Location
Indiana1
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing all 10 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Lan Hong – Education and Information Technologies, 2024
Educational robots have unrivaled advantages and value in developing students' computational thinking. Currently, there are fewer studies on the overall effects of educational robots on K12 students' computational thinking, especially at the instructional style and cross-grade level. In order to investigate the overall effect of educational robots…
Descriptors: Robotics, Computation, Thinking Skills, Elementary Secondary Education
Peer reviewed Peer reviewed
Direct linkDirect link
Shelby J. Haberman; Sabine Meinck; Ann-Kristin Koop – Large-scale Assessments in Education, 2024
This paper extends existing work on teacher weighting in student-centered surveys by looking into aspects of practical implementation of deriving and using weights for teacher-centered analysis in the Trends in International Mathematics and Science Study (TIMSS) and the Progress in International Reading Literacy Study (PIRLS). The formal…
Descriptors: Elementary Secondary Education, Foreign Countries, Achievement Tests, Mathematics Achievement
Doss, Christopher Joseph; Johnston, William R. – RAND Corporation, 2018
This technical appendix provides additional information about the sample, data, and estimation strategy that were used for a series of AEP Data Notes published by the RAND Corporation in 2018 and 2019. The Data Note series is intended to provide brief, incisive analyses of teacher and school leader survey results which may be of immediate interest…
Descriptors: Teacher Surveys, Administrator Surveys, Sampling, Public Schools
Peer reviewed Peer reviewed
Direct linkDirect link
Chan, Wendy – Journal of Educational and Behavioral Statistics, 2018
Policymakers have grown increasingly interested in how experimental results may generalize to a larger population. However, recently developed propensity score-based methods are limited by small sample sizes, where the experimental study is generalized to a population that is at least 20 times larger. This is particularly problematic for methods…
Descriptors: Computation, Generalization, Probability, Sample Size
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Wang, Jianjun; Ma, Xin – Athens Journal of Education, 2019
This rejoinder keeps the original focus on statistical computing pertaining to the correlation of student achievement between mathematics and science from the Trend in Mathematics and Science Study (TIMSS). Albeit the availability of student performance data in TIMSS and the emphasis of the inter-subject connection in the Next Generation Science…
Descriptors: Scores, Correlation, Achievement Tests, Elementary Secondary Education
Peer reviewed Peer reviewed
Direct linkDirect link
Kingsnorth, Crawford; Cruickshank, Chae; Paterson, David; Diston, Stephen – School Science Review, 2017
The capture-mark-release-recapture method provides a simple way to estimate population size. However, when used as part of ecological sampling, this method does not easily allow an opportunity to evaluate the accuracy of the calculation because the actual population size is unknown. Here, we describe a method that can be used to measure the…
Descriptors: Science Activities, Population Growth, Sampling, Computation
Deke, John; Dragoset, Lisa – Mathematica Policy Research, Inc., 2012
The regression discontinuity design (RDD) has the potential to yield findings with causal validity approaching that of the randomized controlled trial (RCT). However, Schochet (2008a) estimated that, on average, an RDD study of an education intervention would need to include three to four times as many schools or students as an RCT to produce…
Descriptors: Research Design, Elementary Secondary Education, Regression (Statistics), Educational Research
Peer reviewed Peer reviewed
PDF on ERIC Download full text
McPhee, C.; Bielick, S.; Masterton, M.; Flores, L.; Parmer, R.; Amchin, S.; Stern, S.; McGowan, H. – National Center for Education Statistics, 2015
The 2012 National Household Education Surveys Program (NHES:2012) Data File User's Manual provides documentation and guidance for users of the NHES:2012 data files. The manual provides information about the purpose of the study, the sample design, data collection procedures, data processing procedures, response rates, imputation, weighting and…
Descriptors: Early Childhood Education, Family Involvement, Parent Participation, Family School Relationship
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Tourkin, Steven; Thomas, Teresa; Swaim, Nancy; Cox, Shawna; Parmer, Randall; Jackson, Betty; Cole, Cornette; Zhang, Bei – National Center for Education Statistics, 2010
The Schools and Staffing Survey (SASS) is conducted by the National Center for Education Statistics (NCES) on behalf of the United States Department of Education in order to collect extensive data on American public and private elementary and secondary schools. SASS provides data on the characteristics and qualifications of teachers and…
Descriptors: Elementary Secondary Education, National Surveys, Public Schools, Private Schools
Salvucci, Sameena; And Others – 1995
This technical report provides the results of a study on the calculation and use of generalized variance functions (GVFs) and design effects for the 1990-91 Schools and Staffing Survey (SASS). The SASS is a periodic integrated system of sample surveys conducted by the National Center for Education Statistics (NCES) that produces sampling variances…
Descriptors: Administrators, Computation, Elementary Secondary Education, Error of Measurement