The data Standardize Effect of Standardization At a general level At a participant level Distribution Correlation Test Conclusion Credits Previous blogposts To make sense of their data and effects, psychologists often standardize (Z-score) their variables. However, in repeated-measures designs, there are three ways of standardizing data: Variable-wise: The most common ...

Sometimes, for visualization purposes, we want to extract a reference grid of our dataset. This reference grid often contains equally spaced values of a “target” variable, and all other variables “fixed” by their mean, median or reference level. The refdata of the psycho package was built to do just that. ...

Do a t-test APA formatted output Flexibility Dataframe of Values Contribute Credits Previous blogposts One of the most time-consuming part of data analysis in psychology is the copy-pasting of specific values of some R output to a manuscript or a report. This task is frustrating, prone to errors, and increases ...

Traditional Correlation Bayesian APA formatted Correlation Indices Posterior Credits The Bayesian framework is the right way to go for psychological science. To facilitate its use for newcommers, we implemented the bayes_cor.test function in the psycho package, a user-friendly wrapper for the correlationBF function of the great BayesFactor package ...

The Model Plot Credits As Bayesian models usually generate a lot of samples (iterations), one could want to plot them as well, instead (or along) the posterior “summary” (with indices like the 90% HDI). This can be done quite easily by extracting all the iterations in get_predicted from the psycho ...

The method agreement procedure Tweaking Credits The method agreement procedure When running a factor analysis, one often needs to know how many components / latent variables to retain. Fortunately, many methods exist to statistically answer this question. Unfortunately, there is no consensus on which method to use. Therefore, the n_factors() ...

Another correlation function?! A table A Plot A print Options Fun with p-hacking Credits Another correlation function?! Yes, the correlation function from the psycho package.

<span>devtools</span><span>::</span><span>install_github</span><span>(</span><span>"neuropsychology/psycho.R"</span><span>)</span><span>  </span><span># Install the newest version</span><span>

</span><span>library</span><span>(</span><span>psycho</span><span>)</span><span>
</span><span>library</span><span>(</span><span>tidyverse</span><span>)</span><span>

</span><span>cor</span><span> </span><span><-</span><span> </span><span>psycho</span><span>::</span><span>affective</span><span> </span><span>%>%</span><span> 
  </span><span>correlation</span><span>()</span><span>
</span>

This function automatically select numeric variables and run a correlation analysis. It returns a psychobject. A table We can then extract a formatted table ...

Another correlation function?! A table A Plot A print Options Fun with p-hacking Credits Another correlation function?! Yes, the correlation function from the psycho package.

<span>devtools</span><span>::</span><span>install_github</span><span>(</span><span>"neuropsychology/psycho.R"</span><span>)</span><span>  </span><span># Install the newest version</span><span>

</span><span>library</span><span>(</span><span>psycho</span><span>)</span><span>
</span><span>library</span><span>(</span><span>tidyverse</span><span>)</span><span>

</span><span>cor</span><span> </span><span><-</span><span> </span><span>psycho</span><span>::</span><span>affective</span><span> </span><span>%>%</span><span> 
  </span><span>correlation</span><span>()</span><span>
</span>

This function automatically select numeric variables and run a correlation analysis. It returns a psychobject. A table We can then extract a formatted table ...

Don’t do it The Emotion Dataset The effect of Emotion Post-hoc / Contrast Analysis Interaction Note Credits Don’t do it Ha! Got ya! Trying to run some old school ANOVAs hum? I’ll show you even better! There is now a tremendous amount of data showing the inadequacy of ...

Standardize / Normalize / Z-score / Scale The standardize() function allows you to easily scale and center all numeric variables of a dataframe. It is similar to the base function scale(), but presents some advantages: it is tidyverse-friendly, data-type friendly (i.e., does not transform it into a matrix) and can handle dataframes ...

Signal Detection Theory Indices (dprime, beta…) Signal detection theory (SDT) is used when psychologists want to measure the way we make decisions under conditions of uncertainty. SDT assumes that the decision maker is not a passive receiver of information, but an active decision-maker who makes difficult perceptual judgments under conditions ...