YoVDO

Social Sequence Analysis: An Introduction and Overview

Offered By: The University of Chicago via YouTube

Tags

Statistical Methods Courses Data Visualization Courses Time Series Analysis Courses Data Structures Courses

Course Description

Overview

Explore the analytical method of social sequence analysis in this comprehensive lecture. Delve into the history, research applications, data sources, capabilities, and limitations of this statistical approach. Learn about events and state sequences, time representation, and data structures using examples from the Swiss Household Panel 2002. Discover various sequence visualization techniques, including sequence index plots, modal state sequences, and state distribution plots. Examine the process of selecting dissimilarity measures and analyzing transition rates between states. Gain insights into optimal matching techniques and understand how this method can be applied to diverse research questions in social sciences. Benefit from the expertise of Sandra Ham, a statistician from the Center for Health and the Social Sciences (CHeSS) at The University of Chicago, as she guides you through this powerful analytical tool and its software options.

Syllabus

Intro
Objectives
Research Questions
Data Sources
Events and State Sequences
Time Representation
Data Structures
Swiss Household Panel 2002
Sequence Representation
10 Most Frequent Sequences
20 Most Frequent Sequences Sequence Index Plot
Sequence Index Plots by Cohort
20 Most Frequent Sequences by Cohort
Modal State Sequence
State Distribution by Time Plot
Selecting Dissimilarity Measures
Transition Rates Between States
Optimal Matching


Taught by

UChicago Social Sciences

Tags

Related Courses

Valoración de futbolistas
Universitat Politècnica de València via UPV [X]
Explore Statistics with R
Karolinska Institutet via edX
医学统计学与SPSS软件(基础篇)
Peking University via Coursera
Foundations of strategic business analytics
ESSEC Business School via Coursera
Построение выводов по данным
Moscow Institute of Physics and Technology via Coursera