Models of accuracy in repeated-measures designs

By P. Dixon. 2008

389 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Food Science, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/dd7d6faaa2ef6ea76c424f54b2f6abb4e654b7ff

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In Computer Networks and Communications

In Food Science

In Management Science and Operations Research

Citations in the corpus

An Introduction to Mixed Models for Experimental Psychology (2019, positive): “For example, a common dependent variable in experimental designs is accuracy (i.e., one binary response per trial) which follows a binomial distribution and should therefore not be analyzed with models assuming a normal distribution (Dixon, 2008).”
Random effects structure for confirmatory hypothesis testing: Keep it maximal (2013, neutral): “Furthermore, none of the LMEM articles in the JML special issue (Baayen et al., 2008; Barr, 2008; Dixon, 2008; Jaeger, 2008; Mirman, Dixon, & Magnuson, 2008; Quené & van den Bergh, 2008) set a”
Bayesian mixed-effects inference on classification performance in hierarchical data sets (2012, methodology): “…deﬁnition of a decision statistic, for example, the fraction of correctly classiﬁed trials, pooled across subjects, or more simply, a hierarchical model such as the beta-binomial model, but estimated using maximum-likelihood estimation (for an example using logistic regression, see Dixon, 2008).”
Individual differences in late bilinguals' L2 phonological processes: From acoustic-phonetic analysis to lexical access (2012, methodology): “mation of identification results in data analysis (Dixon, 2008).”
Syntactic alignment and shared word order in code-switched sentence production: Evidence from bilingual monologue and dialogue (2010, background): “…switch position predescription or mid-description; verb language English or Dutch), logistic regression makes it possible to perform the analyses directly on the participants’ actual responses; it does not require aggregation to a mean response per condition (see also Dixon, 2008; Jaeger, 2008).”
What sound symbolism can and cannot do: Testing the iconicity of ideophones from five languages (2016, methodology): “First, we deal with the categorical nature of the dependent variable (using ANOVAs with untransformed proportions would be problematic; see Dixon 2008, Jaeger 2008).”
Correlation versus causation in multisensory perception (2010, neutral): “The results were analyzed with a linear mixed-effect regression model, with a logistic linking function because of the categorical dependent variable (cf. Dixon, 2008).”
A cognitive approach to lie detection: A meta‐analysis (2017, methodology): “Specifically, measures of effect size for continuous data (such as Cohen’s d) are suboptimal for the analysis of accuracy data that are based on categorical veracity judgments (true vs. false; Dixon, 2008).”
Visual Search Strategy in Judo Fighters during the Execution of the First Grip (2014, methodology): “In the present study, a mixed-model was considered advantageous as it provides a more flexible method of dealing with missing data [27] as well as accounting for any variability in a participant’s performance across repeated conditions [28].”