drawing inferences from self selected samples

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Drawing Inferences From Self Selected Samples

Author : Howard Wainer
ISBN : 9781134809905
Genre : Education
File Size : 44. 18 MB
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This volume contains a collection of essays and discussions which serve as an introduction and guide to current research in the area of drawing inferences from self-selected samples. This topic is of direct interest to a professional audience of survey researchers, pollsters, market researchers, policymakers, statisticians, demographers, economists, and sociologists. The essays themselves and their associated critical discussions are clear and careful; the contributors are among the foremost experts in the field.

The Collected Works Of John W Tukey

Author : William S. Cleveland
ISBN : 0412992612
Genre : Mathematics
File Size : 48. 30 MB
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The Collected Works Of John W Tukey Philosophy And Principles Of Data Analysis 1949 1964

Author : John Wilder Tukey
ISBN : UOM:39015021529857
Genre : Mathematics
File Size : 68. 73 MB
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The Collected Works Of John W Tukey Factorial Anova 1949 1962

Author : John Wilder Tukey
ISBN : 0534051049
Genre : Mathematical statistics
File Size : 36. 78 MB
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The Collected Works Of John W Tukey Graphics 1965 1985

Author : John Wilder Tukey
ISBN : 0534051022
Genre : Graphic arts
File Size : 52. 30 MB
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Journal Of Official Statistics

Author :
ISBN : WISC:89060317005
Genre : Statistical services
File Size : 71. 28 MB
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Experimental And Quasi Experimental Designs For Generalized Causal Inference

Author : William R. Shadish
ISBN : 0395615569
Genre : Philosophy
File Size : 56. 30 MB
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This long awaited successor of the original Cook/Campbell Quasi-Experimentation: Design and Analysis Issues for Field Settings represents updates in the field over the last two decades. The book covers four major topics in field experimentation: Theoretical matters: Experimentation, causation, and validity Quasi-experimental design: Regression discontinuity designs, interrupted time series designs, quasi-experimental designs that use both pretests and control groups, and other designs Randomized experiments: Logic and design issues, and practical problems involving ethics, recruitment, assignment, treatment implementation, and attrition Generalized causal inference: A grounded theory of generalized causal inference, along with methods for implementing that theory in single and multiple studies

Conditioning On The Probability Of Selection To Control Selection Bias

Author : Joshua David Angrist
ISBN : UCSC:32106013114100
Genre : Education
File Size : 84. 64 MB
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Problems of sample selection arise in the analysis of both experimental and non-experimental data. In clinical trials to evaluate the impact of an intervention on health and mortality, treatment assignment is typically nonrandom in a sample of survivors even if the original assignment is random. Similarly, randomized training interventions like National Supported Work (NSW) are not necessarily randomly assigned in the sample of working men. A non- experimental version of this problem involves the use of instrumental variables (IV) to estimate behavioral relationships. A sample selection rule that is related to the instruments can induce correlation between the instruments and unobserved outcomes, possibly invalidating the use of conventional IV techniques in the selected sample. This paper shows that conditioning on the probability of selection given the instruments can provide a solution to the selection problem as long as the relationship between instruments and selection status satisfies a simple monotonicity condition. A latent index structure is not required for this result, which is motivated as an extension of earlier work on the propensity score. The conditioning approach to selection problems is illustrated using instrumental variables techniques to estimate the returns to schooling in a sample with positive earnings

Proceedings Of The Department Of Defense Educational Testing Service Conference On Job Performance Measurement Technologies

Author : Herbert G. Baker
ISBN : UIUC:30112032713916
Genre : Performance standards
File Size : 72. 45 MB
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Using Weights To Adjust For Sample Selection When Auxiliary Information Is Available

Author : Aviv Nevo
ISBN : UCSC:32106016264639
Genre : Mathematics
File Size : 24. 29 MB
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