Description
This book introduces techniques developed in physics and physiology for characterizing and analyzing patterns in time series data to a broad audience of social scientists. The authors illustrate concepts and techniques with relevant social science examples at different temporal scales: biweekly polling data on federal elections in Germany; daily values of three stock market indices; daily cases of SarsCov-19 in four countries during the pandemic; and second-by-second vocalizations of mothers and infants interacting recorded by motion cameras.
About the Author
Sebastian Wallot obtained his diploma in psychology from the University of Trier (Germany) and his PhD in experimental psychology from the University of Cincinnati, OH (USA). After postdoctoral positions at the University of Aarhus (Denmark) and the Max Planck Institute for Empirical Aesthetics in Frankfurt at the Main (Germany), he is currently working as Professor for research methods in psychology at Leuphana University of Luneburg (Germany). His research if focused on joint action and reading from a dynamic systems perspective. Moreover, he is developing new analysis tools for time series - particularly in the area of recurrence and fractal analysis. Giuseppe Leonardi obtained his MA degree in psychology from the University of Padua (Italy) and his PhD in experimental psychology at the University of Trieste (Italy). As a visiting student he was at the Center for Complex Systems at Florida Atlantic University (USA). His interests gradually focused on a dynamical approach in behavioral interactions and the methodological challenges this new approach requires. He especially concentrated on RQA and its applications to human language and cooperative behavior. From 2017 he has been at the University of Economics and Human Sciences in Warsaw (Poland), where he serves as dean of the School of Human Sciences since 2019.
Reviews
This book is a solid introduction to recurrence-based analysis. It is very accessible. The authors explain the basic elements in clear
language that most methodologically-oriented students will find understandable. The book is also surprisingly comprehensive for such an
introductory treatment. -- Courtney Brown
The authors provide a clear and concise introduction that makes an advanced topic accessible to a broad audience. -- Clayton Webb
This book provides an intuitive introduction to a topic with much potential for social science applications, but one whose daunting mathematical demands have made it inaccessible to most students and scholars. -- David McDowall
This book presents an advanced quantitative technique to social science researchers in a clear and precise manner, offering a perfect balance of technical depth and accessibility. -- Duan Zhang
Book Information
ISBN 9781071872338
Author Sebastian Wallot
Format Paperback
Page Count 136
Imprint SAGE Publications Inc
Publisher SAGE Publications Inc
About the Author
Sebastian Wallot obtained his diploma in psychology from the University of Trier (Germany) and his PhD in experimental psychology from the University of Cincinnati, OH (USA). After postdoctoral positions at the University of Aarhus (Denmark) and the Max Planck Institute for Empirical Aesthetics in Frankfurt at the Main (Germany), he is currently working as Professor for research methods in psychology at Leuphana University of Luneburg (Germany). His research if focused on joint action and reading from a dynamic systems perspective. Moreover, he is developing new analysis tools for time series - particularly in the area of recurrence and fractal analysis. Giuseppe Leonardi obtained his MA degree in psychology from the University of Padua (Italy) and his PhD in experimental psychology at the University of Trieste (Italy). As a visiting student he was at the Center for Complex Systems at Florida Atlantic University (USA). His interests gradually focused on a dynamical approach in behavioral interactions and the methodological challenges this new approach requires. He especially concentrated on RQA and its applications to human language and cooperative behavior. From 2017 he has been at the University of Economics and Human Sciences in Warsaw (Poland), where he serves as dean of the School of Human Sciences since 2019.
Reviews
This book is a solid introduction to recurrence-based analysis. It is very accessible. The authors explain the basic elements in clear
language that most methodologically-oriented students will find understandable. The book is also surprisingly comprehensive for such an
introductory treatment. -- Courtney Brown
The authors provide a clear and concise introduction that makes an advanced topic accessible to a broad audience. -- Clayton Webb
This book provides an intuitive introduction to a topic with much potential for social science applications, but one whose daunting mathematical demands have made it inaccessible to most students and scholars. -- David McDowall
This book presents an advanced quantitative technique to social science researchers in a clear and precise manner, offering a perfect balance of technical depth and accessibility. -- Duan Zhang
Book Information
ISBN 9781071872338
Author Sebastian Wallot
Format Paperback
Page Count 136
Imprint SAGE Publications Inc
Publisher SAGE Publications Inc
