Since the introduction of sequence analysis in the field of SRL, researchers have been emphasizing the need for a methodological framework to guide its application. While this variety of methods illustrates the diversity of opportunities, it also indicates the lack of consensus regarding the most appropriate approaches often resulting in difficult to understand methods and non-transparent ways of reporting. Ten years of investigating SRL through sequence analysis have produced a wide range of methodological approaches. Although sequence analysis is still relatively new in SRL research, other fields have fruitful traditions in its application and may serve as a basis for applications in the field of SRL. One such avenue investigates the time-related characteristics of SRL through learners' behavioural sequences. Alongside this shift, increased technological capability has introduced computer log files to the investigation of SRL, uncovering new research avenues. doi: 10.1016/j.alcr.2018.10.In recent decades, conceptualizations and operationalizations of self-regulated learning (SRL) have shifted from SRL as an aptitude to SRL as an event. “Holistic Analysis of the Life Course: Methodological Challenges and New Perspectives.” Advances in Life Course Research 41 (online first). New Life for Old Ideas: The ‘Second Wave’ of Sequence Analysis Bringing the ‘Course’ Back Into the Life Course. “Sequence Analysis: New Methods for Old Ideas.” Annual Review of Sociology, vol. –- Graphviz (recommended) References (optional additional reading):
Pdftools,Cairo, OpenMx, grDevices, broomm, stats) Tidyverse, effects, margins, psych, devtools,īroom, nnet, descr, here, magrittr, glue, patchwork, KableExtra, reshape2, summarytools, vegan, MCMCpack,Ĭorrplot, ade4, cssTools, WeightedCluster, factoextra, Haven, Hmisc, gganimate, RColorBrewer, colorspace, knitr, Pacman::p_load(TraMineR, TraMineRextras, cluster, rio, plotrix,
# load and install (if necessary) required packages for this course If (!require("pacman")) install.packages("pacman")
––R packages can be installed using the following code # use (and install if necessary) pacman package
A full install guide in PDF format is available for download.
Sample Data and R code are available as a direct download and also via Dropbox Software:ĭemos for this workshop are conducted using R and rely upon the user installing a handful of specific R packages. Workshop video (including full chat log and audio transcript) is available here. distance matrices, measures of complexity) in further basic analysis (such as cluster analysis or regression) Using output from sequence analysis (e.g.Description and visualization of sequences using R.Making informed choices when compiling sequences from a longitudinal dataset.The theoretical foundation of sequence analysis in the social sciences.Hands-on examples using R will demonstrate the basic analytical steps using illustrative data on family and labor market trajectories. This workshop covers the theoretical foundation of sequence analysis, basic descriptive tools, as well as the general work-flow of sequence analysis. Sequence analysis, originally developed in biology to analyze strings of DNA, has attracted increasing attention in the social sciences as a key tool for using longitudinal data to analyze life course processes, including labor market careers, transitions to adulthood, and family formation. Fasang (Humboldt Universität zu Berlin) and Emanuela Struffolino (University of Milan). Please join as we kick off a new season of PDHP workshops, with a workshop entitled “Sequence Analysis for Social Science”, presented by Anette E. Emanuela Struffolino and Anette Fasang February 9, 2022, 9am-1pm