Basic Content Analysis (Quantitative Applications in the Social Sciences)

eBook Information

Basic Content Analysis (Quantitative Applications in the Social Sciences) ISBN  0803938632 Release Date  01 August 1990 Category  Miscellaneous Tags  social,   quantitative,   content,   0803938632,   web mining,   web + analytics,   analysis,   "basic content analysis",   behavioral sciences,   This book @Amazon  View Tools Google Search Web flazx.com

Description Completely revised and updated, this second edition offers a concise introduction to content analysis methods from a social science perspective. Includes new computer applications, new studies, and a new chapter on problems and issues that can arise in performing content analysis in four major areas: measurement, indication, representation, and interpretation. Other books on Miscellaneous Data Analysis, Machine Learning and Applications: Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität ... Data Analysis, and Knowledge Organization) Eating the IT Elephant: Moving from Greenfield Development to Brownfield Usability of Speech Dialog Systems: Listening to the Target Audience (Signals and Communication Technology) Liferay Portal Enterprise Intranets Supervised and Unsupervised Ensemble Methods and their Applications (Studies in Computational Intelligence) Intelligent Decision Making: An AI-Based Approach (Studies in Computational Intelligence) Multimodal User Interfaces: From Signals to Interaction (Signals and Communication Technology) Systematics as Cyberscience: Computers, Change, and Continuity in Science (Inside Technology) Analysis of Biological Networks (Wiley Series in Bioinformatics) Application Design for Wearable Computing Lattice: Multivariate Data Visualization with R (Use R) Design, Automation, and Test in Europe: The Most Influential Papers of 10 Years DATE Granular Computing: At the Junction of Rough Sets and Fuzzy Sets (Studies in Fuzziness and Soft Computing) Ontologies-Based Business Integration Systematic Design for Emergence in Cellular Nonlinear Networks: With Applications in Natural Computing and Signal Processing (Studies in Computational Intelligence)