[PDF][PDF] Social network analysis: a primer, a guide and a tutorial in R
M Saqr, S López-Pernas… - … methods and tutorials …, 2024 - library.oapen.org
Social Network Analysis (SNA) has emerged as a computational method for studying
interactions, relationships, and connections among a vast array of different entities that …
interactions, relationships, and connections among a vast array of different entities that …
[PDF][PDF] Modeling the dynamics of longitudinal processes in education. A tutorial with r for the VaSSTra method
S López-Pernas, M Saqr - … methods and tutorials: a practical guide …, 2024 - library.oapen.org
Modeling a longitudinal process brings a lot of variability over time. The modeling procedure
becomes even harder when we use multivariate continuous variables to model a single …
becomes even harder when we use multivariate continuous variables to model a single …
[PDF][PDF] An introduction and r tutorial to model-based clustering in education via latent profile analysis
Education research is commonly performed with variable-centered methods (eg, correlation,
regression, comparison of means eg, t-test) using a sample from the population to devise or …
regression, comparison of means eg, t-test) using a sample from the population to devise or …
Temporal Network Analysis: Introduction, Methods and Analysis with R
M Saqr - Learning analytics methods and tutorials: a practical …, 2024 - Springer
Learning involves relations, interactions and connections between learners, teachers and
the world at large. Such interactions are essentially temporal and unfold in time. Yet …
the world at large. Such interactions are essentially temporal and unfold in time. Yet …
[PDF][PDF] Visualizing and reporting educational data with R
Data visualization can be defined as “the representation and presentation of data that
exploits our visual perception abilities in order to amplify cognition”[1]. It has the power to …
exploits our visual perception abilities in order to amplify cognition”[1]. It has the power to …
[PDF][PDF] Dissimilarity-based cluster analysis of educational data: a comparative tutorial using R
Cluster analysis is a term used to describe a broad range of techniques which have the goal
of uncovering groups of observations in a data set. The typical aim of cluster analysis is to …
of uncovering groups of observations in a data set. The typical aim of cluster analysis is to …
[PDF][PDF] Psychological networks: a modern approach to analysis of learning and complex learning processes
Learning has long been described as a complex system that involves the interactions of
several elements across time, persons and contexts [1–3]. Such descriptions include …
several elements across time, persons and contexts [1–3]. Such descriptions include …
[PDF][PDF] Community detection in learning networks using R
Á Hernández-García, C Cuenca-Enrique… - … methods and tutorials …, 2024 - library.oapen.org
The world is essentially social. Interactions, relationships and connections form the social
fabric of the structure that makes it “social”[1]. Nevertheless, the world is far from uniform or …
fabric of the structure that makes it “social”[1]. Nevertheless, the world is far from uniform or …
[PDF][PDF] Structural equation modeling with R for education scientists
Educational research involves a variety of theoretical constructs that are not directly
observable (eg, motivation, engagement, cognitive development, and selfregulation) and …
observable (eg, motivation, engagement, cognitive development, and selfregulation) and …
[PDF][PDF] Introductory statistics with R for educational researchers
Learning analytics involves the practical application of statistical methods to quantitative
data, which can represent various aspects of the learning process such as student …
data, which can represent various aspects of the learning process such as student …