The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
afex: Analysis of Factorial Experiments
Open accessAbstract
Convenience functions for analyzing factorial experiments using ANOVA or mixed models. aov_ez(), aov_car(), and aov_4() allow specification of between, within (i.e., repeated-measures), or mixed (i.e., split-plot) ANOVAs for data in long format (i.e., one observation per row), automatically aggregating multiple observations per individual and cell of the design. mixed() fits mixed models using lme4::lmer() and computes p-values for all fixed effects using either Kenward-Roger or Satterthwaite approximation for degrees of freedom (LMM only), parametric bootstrap (LMMs and GLMMs), or likelihood ratio tests (LMMs and GLMMs). afex_plot() provides a high-level interface for interaction or one-way plots using ggplot2, combining raw data and model estimates. afex uses type 3 sums of squares as default (imitating commercial statistical software).
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Random effects structure for confirmatory hypothesis testing: Keep it maximal
Barr, D. J., Levy, R., Scheepers, C., & Tily, H. J. (2013) · Journal of Memory and Language · doi:10.1016/j.jml.2012.11.001 · Cited by 10,328
Mixed-effects modeling with crossed random effects for subjects and items
Baayen, R. H., Davidson, D. J., & Bates, D. M. (2008) · Journal of Memory and Language · doi:10.1016/j.jml.2007.12.005 · Cited by 8,540
Recommended effect size statistics for repeated measures designs
Bakeman, R. (2005) · Behavior Research Methods · doi:10.3758/bf03192707 · Cited by 1,809
Evaluating significance in linear mixed-effects models in R
Luke, S. G. (2017) · Behavior Research Methods · doi:10.3758/s13428-016-0809-y · Cited by 1,704
Olejnik, S., & Algina, J. (2003) · Psychological Methods · doi:10.1037/1082-989x.8.4.434 · Cited by 1,622
Judd, C. M., Westfall, J., & Kenny, D. A. (2012) · Journal of Personality and Social Psychology · doi:10.1037/a0028347 · Cited by 1,236
Self-citationRandom effects structure for testing interactions in linear mixed-effects models
Barr, D. J. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00328 · Cited by 782
Dalal, D. K., & Zickar, M. J. (2012) · Organizational Research Methods · doi:10.1177/1094428111430540 · Cited by 469
Hidden multiplicity in exploratory multiway ANOVA: Prevalence and remedies
Cramer, A. O. J., van Ravenzwaaij, D., Matzke, D., Steingroever, H., Wetzels, R., Grasman, R. P. P. P., Waldorp, L. J., & Wagenmakers, E.-J. (2016) · Psychonomic Bulletin & Review · doi:10.3758/s13423-015-0913-5 · Cited by 416
Lin, H., Saunders, B., Friese, M., Evans, N. J., & Inzlicht, M. (2020) · Psychological Science · doi:10.1177/0956797620904990 · Cited by 119
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Neural correlates of expected risks and returns in risky choice across development
van Duijvenvoorde, A. C. K., Huizenga, H. M., Somerville, L. H., Delgado, M. R., Powers, A., Weeda, W. D., Casey, B. J., Weber, E. U., & Figner, B. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.1924-14.2015 · Cited by 141
Behavioral, Modeling, and Electrophysiological Evidence for Supramodality in Human Metacognition
Faivre, N., Filevich, E., Solovey, G., Kühn, S., & Blanke, O. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.0322-17.2017 · Cited by 129
Metadata
- Authors
- Singmann, H., Bolker, B., Westfall, J., Aust, F., & Ben-Shachar, M. S.
- Venue
- CRAN: Contributed Packages
- Publisher
- The R Foundation
- Published
- 2012-08-09
- OpenAlex
- W2911147930
- Cited by
- 773
- References
- 11
- Type
- dataset
- Language
- en
- Open access
- gold
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