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Gajendra Vishwakarma – Measurement: Interdisciplinary Research and Perspectives, 2025
In sample designs, it is commonly recognized that using auxiliary information significantly increases an estimator's precision. This manuscript introduces an weighted strategy for computing the finite population mean using auxiliary information in sample surveys. The equations for the mean squared error ("MSE") of the proposed estimator…
Descriptors: Sampling, Surveys, Computation, Efficiency
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Jamelia Harris – Field Methods, 2024
Not knowing the population size is a common problem in data-limited contexts. Drawing on work in Sierra Leone, this short take outlines a four-step solution to this problem: (1) estimate the population size using expert interviews; (2) verify estimates using interviews with participants sampled; (3) triangulate using secondary data; and (4)…
Descriptors: Foreign Countries, Sample Size, Surveys, Computation
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Martínez, Sergio; Rueda, Maria; Arcos, Antonio; Martínez, Helena – Sociological Methods & Research, 2020
This article discusses the estimation of a population proportion, using the auxiliary information available, which is incorporated into the estimation procedure by a probit model fit. Three probit regression estimators are considered, using model-based and model-assisted approaches. The theoretical properties of the proposed estimators are derived…
Descriptors: Computation, Regression (Statistics), Statistical Analysis, Population Groups
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Stuart, Elizabeth A.; Dong, Nianbo; Lenis, David – Society for Research on Educational Effectiveness, 2016
Complex surveys are often used to estimate causal effects regarding the effects of interventions or exposures of interest. Propensity scores (Rosenbaum & Rubin, 1983) have emerged as one popular and effective tool for causal inference in non-experimental studies, as they can help ensure that groups being compared are similar with respect to a…
Descriptors: Outcomes of Treatment, Probability, Surveys, Computation
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Steiner, Peter M.; Cook, Thomas D.; Li, Wei; Clark, M. H. – Journal of Research on Educational Effectiveness, 2015
In observational studies, selection bias will be completely removed only if the selection mechanism is ignorable, namely, all confounders of treatment selection and potential outcomes are reliably measured. Ideally, well-grounded substantive theories about the selection process and outcome-generating model are used to generate the sample of…
Descriptors: Quasiexperimental Design, Bias, Selection, Observation
Valliant, Richard; Dever, Jill A.; Kreuter, Frauke – Springer, 2013
Survey sampling is fundamentally an applied field. The goal in this book is to put an array of tools at the fingertips of practitioners by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some specialized software where needed. This book serves at least…
Descriptors: Sampling, Surveys, Computer Software, College Students
OECD Publishing, 2013
The Programme for the International Assessment of Adult Competencies (PIAAC) has been planned as an ongoing program of assessment. The first cycle of the assessment has involved two "rounds." The first round, which is covered by this report, took place over the period of January 2008-October 2013. The main features of the first cycle of…
Descriptors: International Assessment, Adults, Skills, Test Construction
Micceri, Theodore; Parasher, Pradnya; Waugh, Gordon W.; Herreid, Charlene – Online Submission, 2009
An extensive review of the research literature and a study comparing over 36,000 survey responses with archival true scores indicated that one should expect a minimum of at least three percent random error for the least ambiguous of self-report measures. The Gulliver Effect occurs when a small proportion of error in a sizable subpopulation exerts…
Descriptors: Error of Measurement, Minority Groups, Measurement, Computation
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Rosen, Russell S. – International Journal of Special Education, 2009
This is a critical review of surveys conducted on the American deaf population since 1990. There is no agreement among the surveys on the number of deaf and hard of hearing individuals in the US. This behooves us to study the question: Why the lack of agreement in estimates and prevalence rates of the American general deaf and the deaf child…
Descriptors: Deafness, Partial Hearing, Population Groups, Incidence
Tatto, Maria Teresa, Ed. – International Association for the Evaluation of Educational Achievement, 2013
The Teacher Education and Development Study in Mathematics (TEDS-M), conducted under the aegis of the International Association for the Evaluation of Educational Achievement (IEA), was designed to inform policy and practice in mathematics teacher education. For educational policymakers, TEDS-M contributes data on institutional arrangements that…
Descriptors: Mathematics Teachers, Preservice Teacher Education, Elementary School Teachers, Secondary School Teachers
OECD Publishing, 2013
Effective teaching and teachers are key to producing high-performing students worldwide. So how can countries prepare teachers to face the diverse challenges in today's schools? The Teaching and Learning International Survey (TALIS) helps answer this question. TALIS asks teachers and schools about their working conditions and the learning…
Descriptors: Surveys, Foreign Countries, Teaching Conditions, Work Environment
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Qian, Jiahe – ETS Research Report Series, 2006
Weighting and variance estimation are two statistical issues involved in survey data analysis for large-scale assessment programs such as the Higher Education Information and Communication Technology (ICT) Literacy Assessment. Because survey data are always acquired by probability sampling, to draw unbiased or almost unbiased inferences for the…
Descriptors: Weighted Scores, Sampling, Statistical Analysis, Higher Education
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Hahs-Vaughn, Debbie L.; Lomax, Richard G. – Journal of Experimental Education, 2006
Complex survey designs often employ multistage cluster sampling designs and oversample particular units to ensure more accurate population parameter estimates. These issues must be accommodated in the analysis to ensure accurate parameter estimation. Incorporation of sample weights in some statistical procedures has been studied. However, research…
Descriptors: Structural Equation Models, Computation, Evaluation Research, Surveys
Macro Systems, Inc., Silver Spring, MD. – 1979
The Basic Educational Opportunity Grant Quality Control Study, Volume II focuses on study procedures used for the analytical report recorded in Volume I of the study. Copies of all data collection forms are included along with file layouts, field procedures and other general information letters. It is intended to provide a description of the…
Descriptors: College Students, Computation, Data Collection, Educational Finance
Kruskal, William, Ed. – 1970
This book, one of a series prepared in connection with the Behavioral and Social Sciences Survey (BASS) conducted between 1967 and 1969, deals with problems of statistics, mathematics, and computation as they related to the social sciences. Chapter 1 shows how these subjects help in their own ways for studying learning behavior with irregular…
Descriptors: Behavioral Science Research, Computation, Higher Education, Hypothesis Testing