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Matthew Jannetti; Amy Carroll-Scott; Erikka Gilliam; Irene Headen; Maggie Beverly; Félice Lê-Scherban – Field Methods, 2023
Place-based initiatives often use resident surveys to inform and evaluate interventions. Sampling based on well-defined sampling frames is important but challenging for initiatives that target subpopulations. Databases that enumerate total population counts can produce overinclusive sampling frames, resulting in costly outreach to ineligible…
Descriptors: Sampling, Probability, Definitions, Prediction
Elma, Cevat – Eurasian Journal of Educational Research, 2013
Problem Statement: For individuals and organizations alike there has been a recent upsurge in significance of employees' perceptions toward their work and their job satisfaction. The concept of organizational justice has evolved to include almost all aspects of organizational life, particularly employees' attitudes toward work. While a significant…
Descriptors: Prediction, Teacher Attitudes, Correlation, Surveys
Longford, Nicholas T. – 1992
Large scale surveys usually employ a complex sampling design and as a consequence, no standard methods for estimation of the standard errors associated with the estimates of population means are available. Resampling methods, such as jackknife or bootstrap, are often used, with reference to their properties of robustness and reduction of bias. A…
Descriptors: Error of Measurement, Estimation (Mathematics), Prediction, Research Design
Mislevy, Robert J. – 1985
A method for drawing inferences from complex samples is based on Rubin's approach to missing data in survey research. Standard procedures for drawing such inferences do not apply when the variables of interest are not observed directly, but must be inferred from secondary random variables which depend on the variables of interest stochastically.…
Descriptors: Algorithms, Data Interpretation, Estimation (Mathematics), Latent Trait Theory