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February 2021
R Markdown Basics
R Markdown files integrate text, Markdown, and R code into dynamic documents that weave together plain text, formatted text, and the output of the R code. The resulting dynamic reports can be produced in many formats, including HTML documents, HTML slideshows, LaTeX pdf, Beamer slideshows, MS Word doc, books, scientific articles, and websites. This seminar covers basic coding and conventions of the 3 frameworks upon which R Markdown depends: Markdown for formatting text, knitr for R code chunks, and YAML…
Find out more »Retiring Statistical Significance: Interpreting and Reporting P-Values and Confidence Intervals Without Significance Testing
The misuse of null hypothesis significance testing (NHST) and p-value thresholds, together with selective reporting of statistically significant results, have produced an inundation of overstated conclusions and unreplicable results in scientific research. Many of these abuses come from misunderstandings of how to interpret p-values, confidence intervals, the words “statistical significance”, and the uncertainty in a statistical result. The misuse is so widespread that the American Statistical Association is calling for the retirement of NHST and the words “statistical significance”. In…
Find out more »Remote consulting closed
Remote consulting is closed in honor of Presidents' Day.
Find out more »Introduction to Structural Equation Modeling in R with lavaan
This workshop will introduce basic concepts of structural equation modeling (SEM) motivated by a hypothetical study on student achievement. The emphasis will be on understanding the output of lavaan and less on clinical interpretations or mathematical derivation. The matrix formulation and path diagram will be introduced for a path analysis, measurement and structural regression model. Concepts include identification, model fit, and modification indices. Suggested prerequisites: a review of the webpage Confirmatory Factor Analysis (CFA) in R with lavaan (https://stats.idre.ucla.edu/r/seminars/rcfa), familiarity…
Find out more »March 2021
Introduction to Mediation Analysis Using the SPSS PROCESS Macro
This workshop will introduce the basics of conducting mediation analyses using the PROCESS Macro for SPSS, which was by written by Andrew F. Hayes. As this is an introductory workshop, most examples will consider models in which all variables are continuous. Discussion topics will include the use of bootstrapping confidence intervals, the calculation of effect sizes, and tips for reporting the results of the mediation analysis. sign up here Zoom access information will be sent the day before the…
Find out more »Multiple Imputation in R
The purpose of this workshop is to discuss commonly used techniques for handling missing data and common issues that could arise when these techniques are used. In particular, we will focus on the one of the most popular methods, multiple imputation, and how to perform it using the package mice in R. We will also briefly go over some other useful packages in R for handling missing data. As prerequisite to this workshop, we suggest participants have basic knowledge in…
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