Designing Experiments and Analyzing Data: a Model Comparison Perspective, 2nd edn

By R. A. Bailey. 2005

543 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/d6283a32c48c8989c039127a187198a1325c7024

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Citations in the corpus

Collaborative Learning in Engineering Students: Gender and Achievement (2011, methodology): “Bivariate correlations were completed to examine relationship between study variables; multiple regression analysis was completed to examine predictive ability of variables on course grade; MANOVA was completed to examine multivariate relationship between variables.”
Sample Size Justification (2021, unknown): “The reason for the decrease in the sample size is explained by the equation below from Maxwell, Delaney, and Kelley (2017).”
Rejecting or Accepting Parameter Values in Bayesian Estimation (2018, unknown): “Because p values increase as more tests are considered, the CI limits expand as the number of intended tests increases (e.g., Maxwell & Delaney, 2004).”
The Bayesian New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective (2017, unknown): “This inflation of p values with additional tests is often discussed in textbooks and articles, which describe an elaborate set of “corrections” to p values (e.g., Maxwell & Delaney, 2004).”
A Simple Method for Removing Bias From a Popular Measure of Standardized Effect Size: Adjusted Partial Eta Squared (2019, background): “…been strongly recommended in most detailed, statistical discussions (e.g., Carroll & Nordholm, 1975; Grissom & Kim, 2012; Hays, 1963; Keppel, 1991; Maxwell & Delaney, 2004; see also Bakeman, 2005; Olejnik & Algina, 2003), neither of these alternatives has come close to supplanting η p 2 as the…”
Vigilance (2013, methodology): “A key element in the Sackett et al. (2010) study that formed the foundation for this experiment was the finding that accelerating participants’ PTP led to higher ratings of task enjoyment in comparison to a condition in which PTP was slowed down.”
Fearing the feline: domestic cats reduce avian fecundity through trait-mediated indirect effects that increase nest predation by other species (2013, methodology): “Levene’s test indicated that samples had equal variance and we thus used Tukey’s post hoc comparison tests (which automatically corrects for experiment-wise error rate when there are multiple comparisons being made, by providing adjusted P values: Maxwell & Delaney 2004).”
Bayesian estimation supersedes the t test. (2013, methodology): “This dependence of the p value on the intention of the experimenter is well recognized by the conventional use of various corrections for different kinds of multiple comparisons (e.g., see the excellent summary in Maxwell & Delaney, 2004).”
The Role of Trust as a Mediator Between System Characteristics and Response Behaviors (2015, background): “Between-subjects comparisons were not made for error bias against the 100% baseline because it had no associated error bias and would lead to comparisons with unequal sample sizes (baseline, n = 43; FP, n = 22; MP, n = 22; see Maxwell & Delaney, 2004, pp. 112–113).”
Walkable Route Perceptions and Physical Features (2007, methodology): “Bonferroni adjusted critical values of F for the seven measures were used (Maxwell & Delaney, 2004).”
Integrative Data Analysis: The Simultaneous Analysis of Multiple Data Sets (2009, background): “…that the inclusion of the set of study membership variables removes all between-sample sources of variability from the model (although there are some situations in which more complex contrast coding schemes could be used to partially disaggregate these effects; see, e.g., Maxwell & Delaney, 2004).”
Method for the subjective assessment of intermediate quality level of (2014, methodology): “The MUSHRA test uses a repeated-measures or within-subjects design (an excellent introduction to these concepts can be found in Maxwell & Delaney, 2004), where two within-subjects factors (condition and audio material) are completely crossed, and at least one rating is obtained for each combination…”