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Download full textStrizek, Gregory A.; Tourkin, Steve; Erberber, Ebru – National Center for Education Statistics, 2014
This technical report is designed to provide researchers with an overview of the design and implementation of the Teaching and Learning International Survey (TALIS) 2013. This information is meant to supplement that presented in OECD publications by describing those aspects of TALIS 2013 that are unique to the United States. Chapter 2 provides…
Descriptors: Learning, Instruction, Research Design, Program Implementation
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
Direct linkHahs-Vaughn, Debbie L. – International Journal of Research & Method in Education, 2006
Oversampling and cluster sampling must be addressed when analyzing complex sample data. This study: (a) compares parameter estimates when applying weights versus not applying weights; (b) examines subset selection issues; (c) compares results when using standard statistical software (SPSS) versus specialized software (AM); and (d) offers…
Descriptors: Multivariate Analysis, Sampling, Data Analysis, Error of Measurement
Peer reviewedDey, Eric L. – Research in Higher Education, 1997
A study investigated the effectiveness of a weighting procedure for adjusting survey results to correct for nonresponse bias. Using data from a Cooperative Institutional Research Program followup survey, results indicate that the procedure is highly effective in univariate distributions; its effectiveness in adjusting correlation and regression…
Descriptors: Data Analysis, Followup Studies, Higher Education, Research Methodology
Peer reviewedRust, Keith F.; Johnson, Eugene G. – Journal of Educational Statistics, 1992
Procedures for obtaining student samples for the National Assessment of Educational Progress (NAEP) and deriving survey weights for analysis of survey data are described. Sample designs are economically and operationally feasible, and weighting procedures result in increased precision of estimates as they account for the probabilities of student…
Descriptors: Data Analysis, Educational Assessment, Elementary Secondary Education, Estimation (Mathematics)
PDF pending restorationIngels, Steven J.; And Others – 1995
This manual familiarizes data users with the procedures followed for data collection and processing of the high school transcript component of the National Education Longitudinal Study of 1988 (NELS:88). A second objective is to provide the necessary documentation for using the data files. Chapter 6 and appendix F, in particular, contain…
Descriptors: Coding, Data Analysis, Data Collection, Data Processing
Tabler, Kenneth – 1977
Activities involved in the collection and assembling of data for computer processing from the first followup survey of the National Longitudinal Study of the High School Class of 1972 (NLS) are briefly described. Included are an overview of the NLS; the sample design and survey participation; the development of the first followup survey…
Descriptors: Data Analysis, Data Collection, Databases, Followup Studies
Bailey, J. P., Jr. – 1976
The status of the high school class of 1972, as it was two years after graduation in October 1974, is described in terms of questionnaire survey responses. Students from 1,153 high schools participated and 20,872 students responded to the questionnaire out of the total group of 23,451. The development, administration, and reliability of the survey…
Descriptors: Attendance, Data Analysis, Data Collection, Databases
