General Nested Designs

1997 ◽  
pp. 369-380
Author(s):  
Brian S. Yandell
Keyword(s):  
Nested Designs

Optimal Experimental Design With Nesting of Persons in Organizations

2013 ◽  
Vol 221 (3) ◽  
pp. 145-159 ◽  
Author(s):  
Gerard J. P. van Breukelen
Keyword(s):  
Repeated Measures ◽  
Optimal Number ◽  
Health Centers ◽  
Randomized Experiments ◽  
Optimal Sample ◽  
Treatment Conditions ◽  
Sampling Cost ◽  
Nested Designs ◽  
Simple Equations ◽  
Number Of Individuals

This paper introduces optimal design of randomized experiments where individuals are nested within organizations, such as schools, health centers, or companies. The focus is on nested designs with two levels (organization, individual) and two treatment conditions (treated, control), with treatment assignment to organizations, or to individuals within organizations. For each type of assignment, a multilevel model is first presented for the analysis of a quantitative dependent variable or outcome. Simple equations are then given for the optimal sample size per level (number of organizations, number of individuals) as a function of the sampling cost and outcome variance at each level, with realistic examples. Next, it is explained how the equations can be applied if the dependent variable is dichotomous, or if there are covariates in the model, or if the effects of two treatment factors are studied in a factorial nested design, or if the dependent variable is repeatedly measured. Designs with three levels of nesting and the optimal number of repeated measures are briefly discussed, and the paper ends with a short discussion of robust design.

Parametric Bootstrap Tests for Unbalanced Three-factor Nested Designs under Heteroscedasticity

2014 ◽  
Vol 45 (1) ◽  
pp. 322-338 ◽  
Author(s):  
Liwen Xu ◽  
Kaiyi Qu ◽  
Mixia Wu ◽  
Bo Mei ◽  
Ranran Chen
Keyword(s):  
Parametric Bootstrap ◽  
Bootstrap Tests ◽  
Nested Designs ◽  
Three Factor

scholarly journals Analyzing Partially Nested Designs with Irregular Nesting: A Cautionary Case Study

2013 ◽  
Vol 105 (5) ◽  
pp. 1298-1306 ◽  
Author(s):  
Dawn M. VanLeeuwen ◽  
Zili You ◽  
Bernd Leinauer
Keyword(s):  
Nested Designs

What You See and What You Get

2007 ◽  
Vol 41 (11) ◽  
pp. 1492-1514 ◽  
Author(s):  
Ingo Rohlfing
Keyword(s):  
Quantitative Methods ◽  
Recent Contribution ◽  
Qualitative And Quantitative Methods ◽  
Rigorous Approach ◽  
Political Analysis ◽  
Large N ◽  
Nested Designs ◽  
Methodological Problems ◽  
Methodological Principles ◽  
Nested Analysis

In a recent contribution to this journal, Munck and Snyder found that many studies suffer from a deficient application of qualitative and quantitative methods. They argue that the combination of small- n and large- n analysis represents a viable method for promoting the production of knowledge. Recently, Evan Lieberman proposed nested analysis as a rigorous approach for comparative research that builds on the complementary strengths of quantitative and qualitative analysis. In this paper, the author examines the methodological potential of nested inference to advance comparative political analysis, arguing that the specific methodological problems of nested designs have not been fully appreciated. It is shown that, under certain circumstances, nothing is gained from a nested analysis. On the contrary, one might lose more than one gains compared to single-method designs. The author suggests specific methodological principles that take these problems into account to make nested analysis fruitful for comparative studies.

Approximated Interval Estimation in the Staggered Nested Designs for Precision Experiments

2010 ◽  
pp. 351-367 ◽  
Author(s):  
Motohiro Yamasaki ◽  
Michiaki Okuda ◽  
Yoshikazu Ojima ◽  
Seiichi Yasui ◽  
Tomomichi Suzuki
Keyword(s):  
Interval Estimation ◽  
Nested Designs

Optimum tests for bandom effects in unbalanced nested designs

Statistics ◽  
1990 ◽  
Vol 21 (2) ◽  
pp. 163-168 ◽  
Author(s):  
Ravindba Khattbee ◽  
D. N Natk
Keyword(s):  
Nested Designs
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