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"Uniting methods from disciplines across the social sciences, this hands-on guide introduces a novel approach to doing document analysis. The authors present a framework for studying documents that enables you to conduct a rich and systematic analysis of a documents in all their diversity. Focussing on document analysis both in practice and as practice, the book provides you with innovative and versatile toolkit for analysing print and digital documents. It also: Highlights the impacts of digitalisation on documents themselves and the methods used to study them Has a strong focus on research ethics and critical engagement with digital sources Offers practical guidance on preparing and doing a document analysis research project. The book offers insightful perspectives both on the indispensable role of documents in our society and practical advice on how you can best analyse documents and their significance"--
Social sciences - Research - Methodology --- Social sciences --- Research --- Methodology
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"This chapter introduces our holistic view of knowledge production in sociology and political science. Enlarging our view beyond the individualistic publication pipeline metaphor, we press the conception of academics as citizens of a knowledge polity with rights and responsibilities. Knowledge production does not just mean research, but encompasses teaching, reviewing, blogging, commenting, and other activities, which signal its communal nature. We then advance an explanation for knowledge production that situates academics in institutional and social contexts - including the family - while maintaining individual agency. We search for inequalities by gender and racial/ethnic identification, but are careful to consider the changing compositions of political science and sociology (both are diversifying steadily) and different situations (e.g., faculty rank) when making comparisons. The chapter describes our PASS study, which sampled academic departments and surveyed 1,700 faculty in 2017. Respondent reports were linked with data on lifetime publications, Twitter activity and other data"--
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La 6ème édition de cet ouvrage décompose les différentes étapes de la recherche en sciences sociales, offre un panorama complet et actualisé des techniques et méthodes disponibles et propose de nombreux travaux d'application. Afin de tenir compte de l'évolution très rapide des dispositifs pédagogiques, elle s'accompagne de compléments en ligne : questionnaires à critiquer, corpus d'entretiens à analyser, fichiers documentaires thématiques, exercices.
Sciences sociales - Recherche - Méthodologie --- Social sciences - Methodology --- Sciences sociales - Recherche --- Social sciences - Research --- Social sciences - Research - Methodology --- Sciences sociales - Recherche. --- Social sciences --- Sciences sociales --- Research. --- Methodology. --- Recherche --- Méthodologie --- Recherche. --- Méthodologie.
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All social and policy researchers need to synthesize data into a visual representation. Producing good visualizations combines creativity and technique. This book teaches the techniques and basics to produce a variety of visualizations, allowing readers to communicate data and analyses in a creative and effective way. Visuals for tables, time series, maps, text, and networks are carefully explained and organized, showing how to choose the right plot for the type of data being analysed and displayed. Examples are drawn from public policy, public safety, education, political tweets, and public health. The presentation proceeds step by step, starting from the basics, in the programming languages R and Python so that readers learn the coding skills while simultaneously becoming familiar with the advantages and disadvantages of each visualization. No prior knowledge of either Python or R is required. Code for all the visualizations are available from the book's website.
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Pour répondre aux besoins des étudiants en sociologie et psychologie, cet ouvrage expose avec clarté et rigueur les principales techniques d'enquête utilisées dans les sciences sociales. Questionnaires, interviews, sondages sont couramment utilisés pour l'analyse des faits de société. Il ne se passe pas une semaine sans qu'un journal quotidien ou hebdomadaire ne livre ce que "pensent", "disent", "font" ou "ressentent" les Français. Tout se passe comme si l'on extrayait directement des informations préexistantes. Or ces données sont d'abord fabriquées par le "regard" de l'observateur, l'"écoute" de l'interviewer ou les questions de l'"enquêteur". Observer, interviewer ou questionner sont en réalité de véritables techniques que cet ouvrage permet de comprendre et de maîtriser.
Social sciences$xMethodology --- Observation (Psychology) --- Interviews --- Questionnaires --- Social sciences - Methodology --- Social sciences -Research --- Social surveys --- Enquêtes sociologiques. --- Sciences sociales --- Enquêtes. --- Méthodologie. --- Social sciences
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Quelles sont aujourd'hui les contraintes qui pèsent sur la production de connaissances sur la société ? Quelles sont les contingences qui la rendent possible et celles qui la menacent ? Quand on réfléchit aux formes de surveillance qui s'exercent sur les chercheurs en sciences sociales jusqu'à mettre en danger leur enquête, on pense aux réactions des personnes rencontrées dans les investigations. Il faut songer aussi au regard des collègues universitaires et à l'attention administrative, gestionnaire, judiciaire ou policière qui encadre le travail des chercheurs.Au-delà des controverses publiques, l'ouvrage analyse ces points avec la rigueur du raisonnement sociologique, donnant à voir des expériences d'enquêtes dans des contextes à la fois démocratiques et autoritaires. En parcourant l'ouvrage, le lecteur portera un regard cru sur la condition de chercheur de terrain et ses enjeux scientifiques, mais aussi sur ses enjeux citoyens pour alimenter le débat public
Social sciences - Research --- Social sciences and state --- Sciences humaines --- Liberté de la recherche. --- Recherche --- Pression des pairs --- Sciences sociales --- Recherche. --- Politique publique. --- Social sciences
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"Researchers in the social sciences and beyond are dealing more and more with massive quantities of text data requiring analysis, from historical letters to the constant stream of content in social media. Traditional texts on statistical analysis have focused on numbers, but this book will provide a practical introduction to the quantitative analysis of textual data. Using up-to-date R methods, this book will take readers through the text analysis process, from text mining and pre-processing the text to final analysis. It includes two major case studies using historical and more contemporary text data to demonstrate the practical applications of these methods. Currently, there is no introductory how-to book on textual data analysis with R that is up-to-date and applicable across the social sciences. Code and a variety of additional resources are available on an accompanying website for the book"--
Social sciences --- Research --- Methodology --- Quantitative methods in social research --- #SBIB:303H12 --- #SBIB:303H520 --- Methoden en technieken: sociale wetenschappen --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- Methodology. --- Research. --- Social sciences - Research --- Social sciences - Methodology
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Social service --- Research --- Methodology. --- Methods in social research (general) --- Social sciences - Research - Methodology --- Sociology - Research - Methodology --- Mixed methods research --- Social sciences --- Sociology --- Methodology --- Mixed method research --- Multimethodology (Research) --- #SBIB:303H12 --- #SBIB:303H30 --- Methoden en technieken: sociale wetenschappen --- Kwalitatieve methoden: algemeen
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"Need practical advice on how to do your first qualitative research project? This book will guide you through each step of the research process: from brainstorming ideas and working with your supervisor to navigating the field to writing up your results. With a wealth of examples from other students' research projects, the book also features new guidance from Qualitative Data Analysis Software expert Christian Schmieder to help you summarise, categorise, and review qualitative data. This book includes: Articles and websites to build your bibliography Questions to test your knowledge Videos from world-leading qualitative experts Activities to dig deeper into key concepts and think critically about research Lessons-learned discussions with other researchers Exercises to help you choose the right path for your project. David Silverman is Visiting Professor at the University of Technology, Sydney and King's College, London, Emeritus Professor at Goldsmiths' College and Adjunct Professor at Queensland University of Technology"--
Sciences sociales --- Recherche qualitative --- Social sciences --- Qualitative research --- Méthodologie --- Recherche --- Methodology --- Méthodologie. --- Qualitative analysis (Research) --- Qualitative methods (Research) --- Research --- Research&delete& --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Social sciences - Research - Methodology --- Qualitative research - Methodology --- Qualitative methods in social research --- Méthodologie --- Méthodologie. --- Qualitative Research --- Research Support as Topic
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If you want to learn to use R for data analysis but aren’t sure how to get started, this practical book will help you find the right path through your data.Drawing on real-world data to show you how to use different techniques in practice, it helps you progress your programming and statistics knowledge so you can apply the most appropriate tools in your research.It starts with descriptive statistics and moves through regression to advanced techniques such as structural equation modelling and Bayesian statistics, all with digestible mathematical detail for beginner researchers.The book:Shows you how to use R packages and apply functions, adjusting them to suit different datasets.Gives you the tools to try new statistical techniques and empowers you to become confident using them.Encourages you to learn by doing when running and adapting the authors’ own code.Equips you with solutions to overcome the potential challenges of working with real data that may be messy or imperfect.Accompanied by online resources including screencast tutorials of R that give you step by step guidance and R scripts and datasets for you to practice with, this book is a perfect companion for any student of applied statistics or quantitative research methods courses.
Social sciences --- R (Computer program language) --- Research&delete& --- Data processing --- Statistical methods --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- GNU-S (Computer program language) --- Domain-specific programming languages --- Quantitative methods in social research --- Mathematical statistics --- Programming --- #SBIB:303H510 --- #SBIB:303H4 --- Methoden sociale wetenschappen: statistische technieken, algemeen --- Informatica in de sociale wetenschappen --- Research --- Social sciences - Research - Data processing --- Social sciences - Statistical methods
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