Read Anywhere and on Any Device!
Read, Discover and Enjoy
A wide selection of eBooks right at your fingertips!
Seems you have not registered as a member of lp.bookshunts.com!
You may have to register before you can download all our books and magazines, click the sign up button below to create a free account.
Quantitative Social Science
The Stata edition of the groundbreaking textbook on data analysis and statistics for the social sciences and allied fields Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it—or if they do, they usually end up in statistics classes that offer few insights into their field. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such as business, economics, education, political science, psychology, sociology, public policy, and data scie...
Data Analysis for Social Science
"Data analysis has become a necessary skill across the social sciences, and recent advancements in computing power have made knowledge of programming an essential component. Yet most data science books are intimidating and overwhelming to a non-specialist audience, including most undergraduates. This book will be a shorter, more focused and accessible version of Kosuke Imai's Quantitative Social Science book, which was published by Princeton in 2018 and has been adopted widely in graduate level courses of the same title. This book uses the same innovative approach as Quantitative Social Science , using real data and 'R' to answer a wide range of social science questions. It assumes no prior ...
Text as Data
A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using ...
Divided Armies
How do armies fight and what makes them victorious on the modern battlefield? In Divided Armies, Jason Lyall challenges long-standing answers to this classic question by linking the fate of armies to their levels of inequality. Introducing the concept of military inequality, Lyall demonstrates how a state's prewar choices about the citizenship status of ethnic groups within its population determine subsequent battlefield performance. Treating certain ethnic groups as second-class citizens, either by subjecting them to state-sanctioned discrimination or, worse, violence, undermines interethnic trust, fuels grievances, and leads victimized soldiers to subvert military authorities once war begi...
Quantitative Social Science Data with R
"One of the few books that provide an accessible introduction to quantitative data analysis with R. A particular strength of the text is the focus on ′real world′ examples which help students to understand why they are learning these methods." - Dr Roxanne Connelly, University of York Relevant, engaging, and packed with student-focused learning features, this book provides the step-by-step introduction to quantitative research and data every student needs. Gradually introducing applied statistics and R, it uses examples from across the social sciences to show you how to apply abstract statistical and methodological principles to your own work. At a student-friendly pace, it enables you to: - Understand and use quantitative data to answer questions - Approach surrounding ethical issues - Collect quantitative data - Manage, write about, and share the data effectively Supported by incredible digital resources with online tutorials, videos, datasets, and multiple choice questions, this book gives you not only the tools you need to understand statistics, quantitative data, and R software, but also the chance to practice and apply what you have learned.
Advances in Experimental Political Science
Novel collection of essays addressing contemporary trends in political science, covering a broad array of methodological and substantive topics.
Handbook of Matching and Weighting Adjustments for Causal Inference
An observational study infers the effects caused by a treatment, policy, program, intervention, or exposure in a context in which randomized experimentation is unethical or impractical. One task in an observational study is to adjust for visible pretreatment differences between the treated and control groups. Multivariate matching and weighting are two modern forms of adjustment. This handbook provides a comprehensive survey of the most recent methods of adjustment by matching, weighting, machine learning and their combinations. Three additional chapters introduce the steps from association to causation that follow after adjustments are complete. When used alone, matching and weighting do not use outcome information, so they are part of the design of an observational study. When used in conjunction with models for the outcome, matching and weighting may enhance the robustness of model-based adjustments. The book is for researchers in medicine, economics, public health, psychology, epidemiology, public program evaluation, and statistics who examine evidence of the effects on human beings of treatments, policies or exposures.
Vibrational Spectroscopic Imaging for Biomedical Applications
The latest advances in vibrational spectroscopic biomedical imaging Written by expert spectroscopists, Vibrational Spectroscopic Imaging for Biomedical Applications discusses recent progress in the field in areas such as instrumentation, detector technology, novel modes of data collection, data analysis, and various biomedical applications. This full-color volume covers various IR imaging techniques, including transmission reflection, transflection, and attenuated total reflection (ATR) imaging, and Raman imaging. The efficient use of vibrational spectroscopy in clinical applications is emphasized in this state-of-the-art guide. Coverage includes: Automated breast histopathology using mid-IR...
Data Visualization
An accessible primer on how to create effective graphics from data This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way. Data Visualization builds the reader’s expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and...
In Praise of Skepticism
A culture of trust is usually claimed to have many public benefits--by lubricating markets, managing organizations, legitimating governments, and facilitating collective action. Any signs of its decline are, and should be, a matter of serious concern. Yet, In Praise of Skepticism recognizes that trust has two faces. Confidence in anti-vax theories has weakened herd immunity. Faith in Q-Anon conspiracy theories triggered insurrection. Disasters flow from gullible beliefs in fake Covid-19 cures, Madoff pyramid schemes, Russian claims of Ukrainian Nazis, and the Big Lie denying President Biden's legitimate election. Trustworthiness involves an informal social contract by which principals author...
Read Anywhere and on Any Device!
Enyoy your eBooks either on your Smartphone, Tablet or Desktop.
