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"This approachable book introduces network research in R, walking you through every step of doing social network analysis. Drawing together research design, data collection and data analysis, it explains the core concepts of network analysis in a non-technical way. The book balances an easy to follow explanation of the theoretical and statistical foundations underpinning network analysis with practical guidance on key steps like data management, preparation and visualisation. With clarity and expert insight, it: Discusses a range of statistical models including QAP and ERGM, giving you the tools to approach different types of networks Provides a fully integrated discussion of digital data and networks like Twitter, sociolab and Amazon Offers digital resources like practice datasets and worked examples that help you get to grips with R software"--
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"Presenting topics in the form of questions and answers, this popular supplemental text offers a brief introduction on multiple regression on a conceptual level. Author Paul D. Allison answers the most essential questions (such as how to read and interpret multiple regression tables and how to critique multiple regression results) in the early chapters, and then tackles the less important ones (for instance, those arising from multicollinearity) in the later chapters."--Pub. desc.
#SBIB:303H522 --- #SBIB:001.AANKOOP --- #KVHA:Statistiek --- #KVHA:Regression analysis --- Methoden sociale wetenschappen: handboeken statistische analyse --- Mathematical statistics --- Regression Analysis --- Regression analysis --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Regression analysis.
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Mathematical statistics --- Factor analysis --- #SBIB:303H520 --- #SBIB:303H522 --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- Methoden sociale wetenschappen: handboeken statistische analyse --- Analysis, Factor --- Factorial analysis --- Multivariate analysis --- Structural equation modeling
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Mathematical statistics --- Factor Analysis, Statistical --- Factor analysis --- Analyse factorielle --- #SBIB:303H522 --- 519.237.7 --- wiskunde --- 519.5354 --- Analysis, Factor --- Factorial analysis --- Multivariate analysis --- Structural equation modeling --- Methoden sociale wetenschappen: handboeken statistische analyse --- 519.237.7 Factor analysis --- Factor Analysis, Statistical.
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Quantitative methods in social research --- Social sciences --- Statistical methods --- 311.21 --- #SBIB:303H522 --- Statistische gegevens verzamelen --- Methoden sociale wetenschappen: handboeken statistische analyse --- 311.21 Statistische gegevens verzamelen --- Social sciences - Statistical methods
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Statistical science --- Mathematical statistics --- Statistics --- #SBIB:303H522 --- #SBIB:303H510 --- Statistical analysis --- Statistical data --- Statistical methods --- Mathematics --- Econometrics --- Methoden sociale wetenschappen: handboeken statistische analyse --- Methoden sociale wetenschappen: statistische technieken, algemeen --- Statistics. --- Statistique mathématique --- Sciences humaines --- Humanities
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Ergodic theory. Information theory --- Mathematical statistics --- Information theory --- Statistics --- Axiomatic set theory --- #SBIB:303H522 --- Methoden sociale wetenschappen: handboeken statistische analyse --- Information theory. --- Statistics. --- Axiomatic set theory. --- Théorie de l'information --- Statistique --- Théorie axiomatique des ensembles
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