Products related to Social:
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Text Analysis in Python for Social Scientists : Discovery and Exploration
Text is everywhere, and it is a fantastic resource for social scientists.However, because it is so abundant, and because language is so variable, it is often difficult to extract the information we want.There is a whole subfield of AI concerned with text analysis (natural language processing).Many of the basic analysis methods developed are now readily available as Python implementations.This Element will teach you when to use which method, the mathematical background of how it works, and the Python code to implement it.
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Designing Social Science Research
This book presents different research designs, their respective purposes and merits as well as their underlying assumptions.Research designs are characterised by a certain combination of knowledge aims and strategies for data production.An adequate design is the key to carrying out a successful research project.Nevertheless, the literature on design is scarce, compared to the literature on methods.This book clarifies the basic distinction between variable-oriented designs and case designs, and proceeds to integrated, comparative and intervention-oriented designs.A step-by-step guide to the design process and the choices to make is also included.The book's clear style makes it an excellent guide for master students and PhD students doing their first research exercises, while it is also useful for more experienced researchers who want to broaden their design repertoire and keep up to recent innovations in the field of research design.
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Investing in Science : Social Cost-Benefit Analysis of Research Infrastructures
A proposal for using cost-benefit analysis to evaluate the socioeconomic impact of public investment in large scientific projects. Large particle accelerators, outer space probes, genomics platforms: all are scientific enterprises managed through the new form of the research infrastructure, in which communities of scientists collaborate across nations, universities, research institutions, and disciplines.Such large projects are often publicly funded, with no accepted way to measure the benefits to society of these investments.In this book, Massimo Florio suggests the use of cost-benefit analysis (CBA) to evaluate the socioeconomic impact of public investment in large and costly scientific projects. The core concept of CBA of any infrastructure is to undertake the consistent intertemporal accounting of social welfare effects using the available information.Florio develops a simple framework for such accounting in the research infrastructure context and then offers a systematic analysis of the benefits in terms of the social agents involved.He measures the benefits to scientists, students, and postdoctoral researchers; the effect on firms of knowledge spillovers; the benefits to users of information technology and science-based innovation; the welfare effects on the general public of cultural services provided by RIs; and the willingness of taxpayers to fund scientific knowledge creation.Finally, Florio shows how these costs and benefits can be expressed in the form of stochastic net present value and other summary indicators.
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Social Network Analysis : Research Methods
This book introduces the non-specialist reader to the principal ideas, nature and purpose of social network analysis.Social networks operate on many levels, from families up to the level of nations, and play a critical role in determining the way problems are solved, organizations are run, and the degree to which individuals achieve their goals.Social network theory maps these relationships between individual actors and has become hugely influential across the social sciences.Assuming no prior knowledge of quantitative sociology, and avoiding technicalities, this book presents the key ideas in context through examples and illustrations.Using a structured approach to understanding work in this area, John Scott signposts further reading and online sources so that readers can develop their knowledge and skills to become practitioners of this research method.A series of Frequently Asked Questions takes the reader through the main objections raised against social network analysis.The new edition updates the overview of the discipline with more recent work and current research in sociology.
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How can one improve text comprehension in social science analysis?
One can improve text comprehension in social science analysis by actively engaging with the text through techniques such as annotating, summarizing, and asking questions. It is also important to consider the context and background of the text, as well as the author's perspective and potential biases. Additionally, discussing the text with others and seeking out different perspectives can help deepen understanding and improve comprehension in social science analysis. Finally, practicing critical thinking skills and being open to new ideas and interpretations can also enhance text comprehension in this field.
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Social science or law?
It ultimately depends on your interests and career goals. If you are passionate about understanding human behavior, society, and culture, then social science may be the right path for you. On the other hand, if you are interested in advocating for justice, understanding legal systems, and working within the framework of laws and regulations, then law may be a better fit. Consider your strengths, interests, and long-term career aspirations when making this decision.
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What is a suitable topic for my social science research paper?
A suitable topic for a social science research paper could be the impact of social media on mental health, exploring the relationship between income inequality and crime rates, or analyzing the effectiveness of diversity training in the workplace. These topics are relevant, have existing research to build upon, and offer opportunities for critical analysis and discussion within the social science field.
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What is the social experiment 23?
The social experiment 23 is a project that aims to explore the impact of social media on human behavior and relationships. It involves creating 23 fake profiles on various social media platforms and using them to interact with real people. The experiment seeks to understand how people respond to different personas and how social media can influence their perceptions and interactions. The project raises important questions about authenticity, trust, and the effects of online interactions on our offline lives.
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Narratives in Social Science Research
Narratives in Social Science Research introduces students to the use of narrative methodology as a research tool.It offers a rigorous framework for the application of these devices within qualitative research.The book provides: An historical overview of the development of the narrative approach within the social sciencesA guide to how narrative methods can be applied in fieldworkAn explanation of how to incorporate a narrative approach within a research projectGuidelines for interpreting collected or produced narrativesA student-focused approach - key arguments and methods are illustrated by case-studies and lists of further reading. Written in an accessible and engaging manner, this detailed text will be a useful resource for researchers and students taking courses in qualitative research across a variety of social disciplines.
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Analysis of Multivariate Social Science Data
Drawing on the authors varied experiences working and teaching in the field, Analysis of Multivariate Social Science Data, Second Editionenables a basic understanding of how to use key multivariate methods in the social sciences.With updates in every chapter, this edition expands its topics to include regression analysis, confirmatory factor analysis, structural equation models, and multilevel models. After emphasizing the summarization of data in the first several chapters, the authors focus on regression analysis.This chapter provides a link between the two halves of the book, signaling the move from descriptive to inferential methods and from interdependence to dependence.The remainder of the text deals with model-based methods that primarily make inferences about processes that generate data.Relying heavily on numerical examples, the authors provide insight into the purpose and working of the methods as well as the interpretation of data.Many of the same examples are used throughout to illustrate connections between the methods.In most chapters, the authors present suggestions for further work that go beyond conventional exercises, encouraging readers to explore new ground in social science research.Requiring minimal mathematical and statistical knowledge, this book shows how various multivariate methods reveal different aspects of data and thus help answer substantive research questions.
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Social Science Data Analysis : An Introduction
In this book, basic statistical knowledge is conveyed in an understandable and application-oriented manner.The readers should be enabled to carry out their own empirical evaluations and to understand or critically reflect on existing analyses. The third edition is extended by a detailed chapter on the logic of significance tests. A replication syntax for the statistical program Stata is provided online as supplementary material.
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Social Science Research Ethics in Africa
This book gives a voice to debates surrounding social science research ethics in Africa and brings them together in a coherent form to assist readers in being at the forefront of the discussions.The book gives an overview of the importance of research ethics in social sciences, as well as articulating the African influence on the subject matter.Subsequently it looks into specific frameworks and tools that researchers can apply in the process of doing research.Last but not least it also takes an in-depth look at traditional ethical issues pertaining to research in social sciences, through the lens of the African continent.This is the first book on social science research ethics in an African context and an indispensable resource for researchers, students, policy makers and research institutions in or interested in African research ethics.
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What is the social experiment Pregnant?
The social experiment Pregnant is a project where individuals wear a pregnancy belly for a certain period of time to experience and understand the physical and emotional challenges that pregnant women face. This experiment aims to raise awareness about the difficulties and discrimination that pregnant women may encounter in their daily lives, such as in the workplace or public spaces. By simulating the experience of being pregnant, participants gain empathy and insight into the realities of pregnancy, and the project seeks to promote understanding and support for pregnant individuals.
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What is the difference between social science and social pedagogy?
Social science is a broad field that encompasses the study of human society and social relationships, including disciplines such as sociology, psychology, anthropology, and economics. It focuses on understanding and analyzing social phenomena through empirical research and theoretical frameworks. On the other hand, social pedagogy is a specific approach to working with individuals and communities to support their social, emotional, and educational development. It emphasizes holistic and relationship-based interventions, often in the context of social welfare and education systems. While social science provides the theoretical and empirical foundation for understanding social issues, social pedagogy offers practical methods for addressing these issues in a supportive and empowering manner.
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What is a social experiment on Instagram?
A social experiment on Instagram is when a user or group of users conduct a study or test a hypothesis by posting content and observing the reactions and interactions of their followers and the wider Instagram community. This can involve posting different types of content, using different captions or hashtags, or engaging in specific behaviors to see how people respond. The goal of a social experiment on Instagram is often to gain insights into human behavior, social dynamics, or the impact of certain actions on the platform.
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Is religion a social science subject?
Religion can be considered a social science subject because it involves the study of human behavior, societies, and cultures in relation to beliefs, rituals, and practices. It intersects with disciplines such as anthropology, sociology, and psychology, as it seeks to understand the impact of religion on individuals and communities. Additionally, the study of religion often involves examining historical, political, and economic factors that shape religious beliefs and practices, making it a relevant topic within the social sciences. However, it is important to note that religion can also be studied from a theological or philosophical perspective, which may not necessarily fall within the realm of social science.
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