Spatially nested sampling schemes for spatial variance components: Scope for their optimization

2011 ◽  
Vol 37 (10) ◽  
pp. 1633-1641 ◽  
Author(s):  
R.M. Lark
Keyword(s):  
Variance Components ◽  
Spatial Variance ◽  
Nested Sampling ◽  
Sampling Schemes

scholarly journals Sampling Procedures to Estimate Flavor Potential in Onion

HortScience ◽  
1992 ◽  
Vol 27 (10) ◽  
pp. 1116-1117 ◽  
Author(s):  
William M. Randle
Keyword(s):  
Sample Size ◽  
Pyruvic Acid ◽  
Variance Components ◽  
Soluble Solids ◽  
Soluble Solids Content ◽  
Flavor Quality ◽  
Sampling Schemes ◽  
Solids Content ◽  
Sampling Procedures ◽  
Larger Sample

Twenty bulbs from each of 10 onion (AIlium cepa L.) cultivars and one mass population were harvested from two locations and evaluated for three traits associated with flavor quality. Variance components for soluble solids content (SSC), pyruvic acid concentration (PAC), and percent S were calculated, and sampling schemes required to detect specific differences among treatment means were determined. In general, a five-bulb sample and four replications were sufficient to detect desired differences for SSC and PAC, whereas percent S required a larger sample size and more replications.

scholarly journals Using variance components to estimate power in a hierarchically nested sampling design

2012 ◽  
Vol 185 (1) ◽  
pp. 405-414 ◽  
Author(s):  
Maria C. Dzul ◽  
Philip M. Dixon ◽  
Michael C. Quist ◽  
Stephen J. Dinsmore ◽  
Michael R. Bower ◽  
...  
Keyword(s):  
Variance Components ◽  
Sampling Design ◽  
Nested Sampling

Managing Heterogeneity of Variance in Studies of Reliability Generalization With Alpha Coefficients

Methodology ◽  
2012 ◽  
Vol 8 (2) ◽  
pp. 71-80 ◽  
Author(s):  
Juan Botella ◽  
Manuel Suero
Keyword(s):  
Reliability Estimation ◽  
Biased Sampling ◽  
Reliability Generalization ◽  
Alpha Coefficient ◽  
Range Restriction ◽  
Sampling Schemes ◽  
Cronbach's Alpha ◽  
Heterogeneous Variances ◽  
Heterogeneity Of Variance ◽  
Meta Analyses

In Reliability Generalization (RG) meta-analyses, the importance of bearing in mind the problems of range restriction or biased sampling and their influence on reliability estimation has often been highlighted. Nevertheless, the presence of heterogeneous variances in the included studies has been diagnosed in a subjective way and has not been taken into account in later analyses. Procedures to detect the presence of a variety of sampling schemes and to manage them in the analyses are proposed. The procedures are further explained with an example, by applying them to 25 estimates of Cronbach’s alpha coefficient in the Hamilton Scale for Depression.

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