Experimental Design and Analysis

By Joseph Colannino. 2006

692 citations recorded by the source corpus.

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Subfields: Computational Mechanics, Management Science and Operations Research, Small Animals

View Paper: https://www.semanticscholar.org/paper/e76d493dfa0c2d3986a12ec9f4750259c7fa1f3d

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In Computational Mechanics

In Management Science and Operations Research

In Small Animals

Citations in the corpus

Variable Impacts of Imazapic Rate on Downy Brome (Bromus tectorum) and Seeded Species in Two Rangeland Communities (2009, methodology): “The experiment was set up with a split-plot design (Lentner and Bishop 1993) by randomly assigning the five imazipic rates to 4.5 m (15 ft) by 15 m (50 ft) whole plots and the five seeded species to 3 m by 4.5 m split plots with three replications of each whole plot.”
Robots or frontline employees? Exploring customers’ attributions of responsibility and stability after service failure or success (2020, background): “The distribution of responses across scenarios is well-balanced (n > 80 in each scenario), exceeding in all cases, the minimum of 25 observations per cell (e.g., Seltman, 2012).”
Breeding for low input conditions and consequences for participatory plant breeding examples from tropical maize and wheat (2004, methodology): “Significant advances have been made in the areas of: (1) experimental design and spatial analysis of experiments (e.g. Basford et al., 1996; Cullis & Gleeson, 1991; Gilmour et al., 1997; Williams & Talbot, 1993); (2) efficient analysis of variance of large METs data sets where imbalance due to the…”
“Alexa, order me a pizza!”: The mediating role of psychological power in the consumer–voice assistant interaction (2021, result): “Separate studies help capture systematic results in controlled conditions and reinforce the results' robustness and generalizability (Seltman, 2012).”
Measuring Undergraduate Students' Engineering Self‐Efficacy: A Validation Study (2016, methodology): “Exploratory, descriptive analyses of all data were conducted by examining item means, standard deviations, frequency distributions, outliers, skewness, and kurtosis (Seltman, 2013) using IBM SPSS Statistics version 22.”