Confidence intervals for dependent data: Equating non-overlap with statistical significance

Afshartous, David; Preston, Richard A.

doi:10.1016/j.csda.2010.04.011

Cited by 65 publications

(42 citation statements)

References 14 publications

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“…Graphical presentation of means for within-subject ANOVA designs has long been recognized as a problem, with several possible solutions having been proposed (e.g., Loftus & Masson, 1994;Morey, 2008;Blouin & Riopelle, 2005;Afshartous & Preston, 2010).…”

Section: Discussionmentioning

confidence: 99%

“…In a two-tiered plot the outer tier depicts the CI for an individual mean and the inner tier supports inferences about differences between means. For plotting large numbers of means or other statistics a Goldstein-Healy plot is a convenient alternative (Goldstein & Healy, 1995;Afshartous & Preston, 2010).…”

Section: Discussionmentioning

confidence: 99%

“…Single tier CI plots can be generated with a little more effort. Many statistical packages such SPSS also have options to fit multilevel models for within-subject ANOVA designs, and can provide appropriate However, Afshartous and Preston (2010) provide R functions for calculating multipliers for between-subject (independent) and within-subject (dependent) designs for both z and t distributions.…”

Section: Constructing One-tiered and Two-tiered Confidence Interval Pmentioning

confidence: 99%

“…The extension to the t distribution is straightforward (Goldstein & Healy, 1995;Afshartous & Preston, 2010). In which case, the multiplier also varies as a function of the degrees of freedom (df).…”

mentioning

confidence: 99%

“…One further distinction is that the Loftus-Masson intervals deal with within-subject designs by removing individual differences from the standard error. The spirit of the Goldstein-Healy plot is to adjust only the multiplier and thus Afshartous and Preston (2010) recalculate the multiplier of the Goldstein-Healy plot to take account of the correlation between the standard errors.…”

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confidence: 99%

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Calculating and graphing within-subject confidence intervals for ANOVA

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Constructing One-tiered and Two-tiered Confidence Interval Pmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Calculating and graphing within-subject confidence intervals for ANOVA

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Impact of management treatments on waterfowl use of dense nesting cover in the Canadian parklands

Devries

Armstrong

2011

J Wildl Manag

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Periodic treatment of established stands of dense nesting cover (DNC) is a recommended practice to maintain cover quality, but little information exists on the magnitude and duration of treatment effects on nesting waterfowl. During 1998-2001, we examined the effect of management treatments on vegetative characteristics and waterfowl nest success and density in fields of DNC seeded to introduced and native grass and forb mixes in the parklands of Saskatchewan and Manitoba. We measured vegetation height-density and litter depth within fields and located and monitored 1,927 duck nests within 33-42 fields/yr ranging in size from 6 ha to 62 ha. We considered a series of models examining the influence of grass type and management treatment (GTMT) and years post-management (YPM) on vegetative characteristics, nest success, and nest density while including covariates potentially affecting these response variables. Visual obstruction and litter depth were lowest in native-burned fields and greatest in introducedhayed fields. Visual obstruction was low the year following management, peaked 2-3 YPM, and remained at intermediate levels through !6 YPM. Litter depth remained low for the first 3 YPM and increased thereafter. Nest success and nest density varied little among GTMT. Nest success was high (14.3%) the year following a management treatment, low (6.5%) at 2 YPM, and moderate thereafter. Nest success decreased with percent cropland in the surrounding landscape. Nest density was 0.7 nests/ha the first year following management, increased to approximately 1.3 nests/ha in years 2-3, and declined back to approximately 0.7 nests/ha for !6 YPM. Nest density decreased with field size and increased with the area of small wetlands, percent cropland, and percent wetland within surrounding landscapes. Nest density tracked vegetation density as expected and our results indicate a possible trade-off between nest density and nest success. Given ancillary data on small mammal and insect prey in our study fields, and evidence from other studies, we speculate that DNC fields may act as prey reservoirs during years of peak vegetative density with a consequent reduction in nest survival. Therefore, management to increase waterfowl production based on our results needs to consider the interaction of treatment effects, competing habitats, and surrounding landscape composition. ß 2011 The Wildlife Society.

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Wahlbeteiligung junger Erwachsener – Steigt die soziale und politische Ungleichheit?

Abendschön

Roßteutscher

2016

Bürgerinnen Und Bürger Im Wandel Der Zeit

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Confidence intervals for dependent data: Equating non-overlap with statistical significance

Cited by 65 publications

References 14 publications

Calculating and graphing within-subject confidence intervals for ANOVA

Calculating and graphing within-subject confidence intervals for ANOVA

Impact of management treatments on waterfowl use of dense nesting cover in the Canadian parklands

Wahlbeteiligung junger Erwachsener – Steigt die soziale und politische Ungleichheit?

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