Social sciences + Data processing
Label
Social sciences + Data processing
Name
Social sciences + Data processing
Sub focus
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Incoming Resources
- Complexity and artificial markets, Klaus Schredelseker, Florian Hauser
- Towards Digital Enlightenment, Essays on the Dark and Light Sides of the Digital Revolution, edited by Dirk Helbing
- Handbook of computational social science, theory, case studies and ethics, edited by Uwe Engel, Anabel Quan-Haase, Sunny Xun Liu and Lars Lyberg, volume 1
- Applying the Rasch model in social sciences using R and BlueSky statistics, Iasonas Lamprianou
- Computational social science, discovery and prediction, [edited by] R. Michael Alvarez
- Zur Theorie der Vereinfachung, Reduktion von Komplexität in d. Datenverarbeitung für Weltmodelle, Karl W. Deutsch, Bruno Fritsch
- Continuous Time Modeling in the Behavioral and Related Sciences, edited by Kees van Montfort, Johan H.L. Oud, Manuel C. Voelkle
- SPSS Regression Models 9.0
- Approaches to Legal Ontologies, Theories, Domains, Methodologies, edited by Giovanni Sartor, Pompeu Casanovas, Mariangela Biasiotti, Meritxell Fernández-Barrera
- Computer models in the social sciences, R. B. Coats and A. Parkin
- Factor analysis and dimension reduction in R, a social scientist's toolkit, G. David Garson
- Programming with Python for social scientists, Phillip D. Brooker
- Microcomputer methods for social scientists, Philip A. Schrodt
- Problems, Methods and Tools in Experimental and Behavioral Economics, Computational Methods in Experimental Economics (CMEE) 2017 Conference, edited by Kesra Nermend, Małgorzata Łatuszyńska
- Finding the Limits of the Limes, Modelling Demography, Economy and Transport on the Edge of the Roman Empire, edited by Philip Verhagen, Jamie Joyce, Mark R. Groenhuijzen
- SPSS advanced models 9.0
- Organizational growth through decisionmaking, a computer-based experiment in eductive method, Beatrice K. Rome and Sydney C. Rome
- SPSS/PC+ update for V3.0 and V3.1 for the IBM PC/XT/AT and PS/2
- Big data and social science, a practical guide to methods and tools, edited by Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter, Julia Lane
- Influence and Behavior Analysis in Social Networks and Social Media, edited by Mehmet Kaya, Reda Alhajj
- Data analysis for social science, a friendly and practical introduction, Elena Llaudet and Kosuke Imai
- Data in society, challenging statistics in an age of globalisation, edited by Jeff Evans, Sally Ruane and Humphrey Southall
- Computational modeling, Charles S. Taber and Richard J. Timpone
- Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining, edited by Nitin Agarwal, Nima Dokoohaki, Serpil Tokdemir
- Goed geïnformeerd, recente ontwikkelingen en toepasssingen van informatietechnologie in de sociale wetenschappen, onder redactie van R. Popping en J.L. Peschar
- Processing data, the survey example, Linda B. Bourque, Virginia A. Clark
- Using microcomputers in social science research, Mark D. Shermis ... [and others]
- New techniques and technologies for statistics II, proceedings of the second Bonn Seminar, Eurostat
- Handbook of computational social science, edited by Uwe Engel, Anabel Quan-Haase, Sunny Xun Liu and Lars Lyberg
- SAGE internet research methods, edited by Jason Hughes
- Data, now bigger and better!, edited and with an introduction by Tom Boellstorff and Bill Maurer
- Computational social science, discovery and prediction, R. Michael Alvarez
- Computer simulation of human behavior, [compiled by] John M. Dutton [and] William H. Starbuck
- Introduction to R for social scientists, a tidy programming approach, by Ryan Kennedy, Philio Waggoner
- Text analysis in Python for social scientists, prediction and classification, Dirk Hovy
- Data in Society, Challenging Statistics in an Age of Globalisation, edited by Jeff Evans, Sally Ruane and Humphrey Southall
- SPSS Interactive Graphics 9.0, SPSS
- Bayesian data analysis for the behavioral and neural sciences, non-calculus fundamentals, Todd E. Hudson
- SPSS step by step, essentials for social and political science, Cole Davis
- Data mining for the social sciences, an introduction, Paul Attewell and David B. Monaghan
- SPSS Base 9.0 applications guide
- Computational modeling, Charles S. Taber, Richard J. Timpone
- Computer modeling of social processes, edited by Wim B.G. Liebrand, Andezej Nowak, and Rainer Hegselmann
- Information and Communication Technologies (ICT) in Economic Modeling, edited by Federico Cecconi, Marco Campennì
- SPSS Base 9.0 user's guide
- Text as data, a new framework for machine learning and the social sciences, Justin Grimmer, Margaret E. Roberts, Brandon M. Stewart
- An introduction to MATLAB for behavioral researchers, Christopher R. Madan
- Behavioral computational social science, Riccardo Boero
- SPSS statistical algorithms
- Multilevel modeling, applications in STATA, IBM SPSS, SAS, R, & HLM, G. David Garson
Outgoing Resources
- Focus1
- Sub focus2