Sumários

Class 2: Modern R: The World of Tidyverse and Rmarkdown

26 Março 2026, 14:00 • Oleksandr Horchak

The 5-step data analysis workflow, from loading packages to reporting
The key tidyverse packages (readr, tibble, dplyr, magrittr, ggplot2)
A function reference table for all the dplyr commands covered (filter, select, rename, arrange, mutate, group_by/summarise)
Pipe operator, wide vs long format data, how to run common statistical tests

Modern R: The World of Tidyverse and Rmarkdown

20 Março 2026, 14:00 • Oleksandr Horchak

The object state experiment, the 4-step pre-processing pipeline, descriptive stats, ggplot2 layers, 10 chart types with guidance on when to use each, repeated-measures ANOVA with aov_ez(), and post-hoc testing with emmeans

Class1: Modern R: The World of Tidyverse and Rmarkdown

19 Março 2026, 14:00 • Oleksandr Horchak

Introduction to R and RStudio for data analysis. Topics covered: comparison of R with Excel and SPSS; the concept of reproducible analysis; R scripts vs RMarkdown; basic R operations (variables, vectors, data types, data frames). Practical session: students created their first RMarkdown document, practised variable assignment, numeric and character vectors, factors, and basic descriptive statistics.

Systematic review of the literature and meta-analysis in Psychology

28 Novembro 2025, 14:00 • Fernando Ricardo Ferreira Santos

In this seminar, we will discuss a) the typology of literature reviews and syntheses (e.g., systematic/non-systematic, narrative/quantitative) and the advantages of systematic reviews and meta-analyses; and b) the strength of empirical evidence as function of the quality of studies and respective methodological design. We will then focus on the statistical procedures for the estimation, meta-analytic combination, and analysis of the heterogeneity of effect sizes. These features will be complemented with practical exercises.


Part 2: Systematic Review procedures

Systematic review of the literature and meta-analysis in Psychology

28 Novembro 2025, 10:00 • Fernando Ricardo Ferreira Santos

In this seminar, we will discuss a) the typology of literature reviews and syntheses (e.g., systematic/non-systematic, narrative/quantitative) and the advantages of systematic reviews and meta-analyses; and b) the strength of empirical evidence as function of the quality of studies and respective methodological design. We will then focus on the statistical procedures for the estimation, meta-analytic combination, and analysis of the heterogeneity of effect sizes. These features will be complemented with practical exercises.


Part 1: Introduction to Systematic Review