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Statistical analysis is common in the social sciences, and among the more popular programs is R. This book provides a foundation for undergraduate and graduate students in the social sciences on how to use R to manage, visualize, and analyze data. The focus is on how to address substantive questions with data analysis and replicate published findings. Using R for Data Analysis in Social Sciences adopts a minimalist approach and covers only the most important functions and skills in R to conduct reproducible research. It emphasizes the practical needs of students using R by showing how to import, inspect, and manage data, understand the logic of statistical inference, visualize data and findings via histograms, boxplots, scatterplots, and diagnostic plots, and analyze data using one-sample t-test, difference-of-means test, covariance, correlation, ordinary least squares (OLS) regression, and model assumption diagnostics. It also demonstrates how to replicate the findings in published journal articles and diagnose model assumption violations. Because the book integrates R programming, the logic and steps of statistical inference, and the process of empirical social scientific research in a highly accessible and structured fashion, it is appropriate for any introductory course on R, data analysis, and empirical social-scientific research.--

Social sciences --- R (Computer program language) --- Research --- Data processing. --- Statistical methods. --- GNU-S (Computer program language) --- Domain-specific programming languages --- Social sciences - Research - Data processing --- Social sciences - Statistical methods

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Depuis plusieurs années, l’informatique a fait une entrée massive dans l’Université, suscitant beaucoup d’espoirs, quelques illusions et déceptions, mais aussi des utilisations fécondes aux conséquences encore mal mesurées. Le temps n’est plus aujourd’hui aux promesses, mais aux bilans réfléchis, et pour les différentes disciplines qui en font usage (ou mésusage). Le Groupe de recherche, fondé en 1977 par des chercheurs et enseignants français et québécois, a organisé un Colloque pour ce qui concerne l’enseignement et la recherche en sciences sociales et humaines, du 4 au 7 mai 1987. Chercheurs français et québécois ont confronté leurs pratiques et leurs expériences, montré les différentes utilisations de l’informatique à l’Université, réfléchi sur les illusions éventuelles et les mises en garde nécessaires, souligné les retombées de ces usages pour les enseignements et les recherches, pour le traitement des données comme pour les publications, dans l’Université et à ses portes. Une parfaite unanimité ne s’est pas faite sur les conséquences actuelles ou à prévoir, sur les limites et les dangers de certaines utilisations. On trouvera ici la reproduction de ces débats qui permettent d’apercevoir les nouveaux enjeux introduits par la diffusion de l’informatique et l’ampleur des problèmes qu’elle soulève.

Social sciences --- Sciences sociales --- Research --- Data processing --- Study and teaching (Higher) --- Recherche --- Informatique --- Etude et enseignement (Supérieur) --- Guicciardini, Francesco, --- Political and social views --- Etude et enseignement --- Etude et enseignement (Supérieur) --- Political and social views. --- Social sciences - Research - Data processing - Quebec (Province) --- Social sciences - Study and teaching (Higher) - Data processing - Quebec (Province) --- Social sciences - Research - Data processing - France --- Social sciences - Study and teaching (Higher) - Data processing - France --- Education --- informatique --- recherche --- science sociale --- étude --- enseignement --- éducation

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Information systems --- Qualitative methods in social research --- Social sciences --- Sciences sociales --- Research --- Data processing --- Methodology --- Recherche --- Informatique --- Méthodologie --- #SBIB:303H30 --- #SBIB:303H14 --- Kwalitatieve methoden: algemeen --- Methoden en technieken van de communicatiewetenschap --- Data processing. --- Methodology. --- Méthodologie --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Research&delete& --- Social sciences - Research - Methodology --- Social sciences - Research - Data processing --- Méthodologie. --- Informatique.

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Qualitative methods in social research --- #SBIB:303H520 --- #SBIB:303H30 --- #KVHA:Methodologie --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- Kwalitatieve methoden: algemeen --- sociaal-wetenschappelijk onderzoek --- Qualitative research --- Social sciences --- Data processing --- Research --- Statistical methods --- Qualitative research - Data processing --- Social sciences - Research - Data processing --- Social sciences - Statistical methods

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To analyse social and behavioral phenomena in our digitalized world, it's necessary to understand the main research opportunities and challenges specific to online and digital social research. This book presents an overview of the many techniques that are part of the fundamental toolbox of the digital social scientist. Placing online methods within the wider tradition of social research methods, Giuseppe Veltri discusses the methodological principles and related frameworks that underlie each technique of digital research. This useful guide covers methodological issues such as different digital data types, sampling for big data, construct validity, and representativeness. It looks at different forms of unobtrusive data collection methods (web scraping, social media mining) as well as obtrusive methods (qualitative methods, web surveys, and experiments). Special attention is given to three key analytical approaches, explored in more detail: computational approaches to statistical analysis, text mining, and network analysis. Digital Social Research Methods will be a welcome and essential resource for students and researchers across the social sciences and humanities carrying out digital research or interested in the future of social research. --

Social media --- Social sciences --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- User-generated media --- Communication --- User-generated content --- Research --- Research&delete& --- Data processing --- Methodology --- #SBIB:303H14 --- Methoden en technieken van de communicatiewetenschap --- Methods in social research (general) --- Social media - Research --- Social sciences - Research - Data processing --- Social sciences - Research - Methodology