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  • Text Analysis in Python for Social Scientists : Discovery and Exploration
    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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  • Data Analysis in Qualitative Research : Theorizing with Abductive Analysis
    Data Analysis in Qualitative Research : Theorizing with Abductive Analysis

    From two experts in the field comes an accessible, how-to guide that will help researchers think more productively about the relation between theory and data at every stage of their work. In Data Analysis in Qualitative Research, Iddo Tavory and Stefan Timmermans provide a how-to guide filled with tricks of the trade for researchers who hope to take excellent qualitative data and transform it into powerful scholarship.In their previous book, Abductive Analysis: Theorizing Qualitative Research, Timmermans and Tavory offered a toolkit for innovative theorizing in the social sciences.In this companion, they go one step further to show how to uncover the surprising revelations that lie waiting in qualitative data—in sociology and beyond. In this book, they lay out a series of tools designed to help both novice and expert scholars see and understand their data in surprising ways.Timmermans and Tavory show researchers how to “stack the deck” of qualitative research in favor of locating surprising findings that may lead to theoretical breakthroughs, whether by engaging with theory, discussing research strategies, or walking the reader through the process of coding data.From beginning to end of a research project, Data Analysis in Qualitative Research helps social scientists pinpoint the most promising paths to take in their approach.

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  • Project Analysis in Developing Countries : Cost Benefit Analysis for Development
    Project Analysis in Developing Countries : Cost Benefit Analysis for Development

    This updated new edition explores the techniques used to assess the economic impact of projects in developing countries.Blending an academic understanding of economics and development with an accessible style and practical advice, the costs and benefits of investment projects, an important mechanism for economic development, are assessed to ensure that resource allocation is as productive as possible.New material has been added, particularly on the environmental impact of projects, the role of the discount rate in decision-taking, the application of techniques to estimate willingness to pay for benefit estimation and the quantification of health impacts. Although the basic techniques of project analysis were developed many decades ago, they remain highly relevant to address current concerns, such as population growth, urbanisation, pressure on physical infrastructure, inequality, and the climate crisis.This book aims to provide an accessible overview, drawn from extensive practical experience, of project analysis in developing countries.It will be relevant to students, researchers, and practitioners interested in development economics.

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  • Research Ethics in Behavior Analysis : From Laboratory to Clinic and Classroom
    Research Ethics in Behavior Analysis : From Laboratory to Clinic and Classroom

    The behavior analytic research community emphasizes within-subject research methodologies to study relations between individual behavior and the environment.This is unique as behavior analytic practitioners can then replicate directly the research they read when determining whether a research finding applies to the clients with whom they work.Research Ethics in Behavior Analysis: From Laboratory to Clinic and Classroom is a reference guide for behavior analysts who conduct, supervise, or consume research specific to behavior analysis.This book is sequenced to follow the natural research process, beginning with an introduction to the history of research ethics that led to modern principles and values of scientific research ethics.The reader is taken through sequential steps from obtaining resources to support a research project through participant recruitment, conducting the study, communicating results, and supporting replication.Each chapter incorporates critical and under-discussed topics unique to research ethics in behavior analysis such as diversity, equity, and inclusion in the research process; balancing methodological rigor with clinical outcomes; aligning research and clinical goals; assessing generalization of research findings; the gray lines of assent and consent for intervention versus research; identifying and obtaining resources to support research; conflicts of interest; using technology and social media; and ethically handling data.

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  • What do you do in the exploration analysis?

    In the exploration analysis, I conduct an initial investigation of the data to understand its characteristics and identify any patterns or trends. This involves performing descriptive statistics, data visualization, and data cleaning to gain insights into the dataset. I also look for any outliers or missing values that may need to be addressed. Additionally, I may conduct preliminary hypothesis testing to guide further analysis. Overall, the exploration analysis helps to inform the next steps in the data analysis process and provides a foundation for more in-depth analysis.

  • Is source analysis the same as text analysis?

    Source analysis and text analysis are related but not the same. Source analysis involves examining the origin, context, and credibility of a source, while text analysis focuses on interpreting and understanding the content of a text itself. Source analysis helps determine the reliability and bias of a source, while text analysis delves into the meaning, structure, and language used in a text. Both are important in research and critical thinking, but they serve different purposes in analyzing information.

  • Is dialog analysis the same as scene analysis?

    Dialog analysis and scene analysis are not the same, although they are related. Dialog analysis focuses specifically on the spoken interactions between characters, examining the content, tone, and subtext of the conversations. On the other hand, scene analysis encompasses a broader view of the entire scene, including the setting, actions, and non-verbal communication in addition to the dialog. While dialog analysis is a part of scene analysis, scene analysis includes a more comprehensive examination of all elements within a particular scene.

  • What is the analysis of the semen analysis?

    The analysis of a semen analysis typically includes evaluating the volume of semen, sperm count, sperm motility, and sperm morphology. The volume of semen provides information about the amount of fluid produced by the male reproductive system. Sperm count measures the number of sperm present in the semen, while sperm motility assesses the movement and speed of the sperm. Sperm morphology examines the shape and structure of the sperm, looking for abnormalities that may affect fertility. Overall, the analysis provides important information about a man's fertility potential and can help identify any potential issues with sperm quality or quantity.

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  • Legal Research, Analysis, and Writing
    Legal Research, Analysis, and Writing

    Become the "go to" paralegal at your firm as you prepare for a career in law with Putman/Albright's popular LEGAL RESEARCH, ANALYSIS, AND WRITING, 5E.This reader-friendly, step-by-step approach shows you how to conduct reliable digital and traditional legal research, analyze the results and write clear memoranda and other legal documents that are well supported.Each chapter begins with an interesting hypothetical scenario and ends by showing you how the chapter’s concepts apply to the scenario.You walk through the legal process as chapters discuss key facts and issue spotting, analysis and counter-analysis, research, secondary sources, citations and writing strong legal briefs and memoranda.Updates show you trusted sources for digital research, while the latest examples, Practice Alerts learning features and optional Cengage Infuse digital resources help you refine skills to stand out as a legal professional in today's tech-driven, competitive job market.

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  • Abductive Analysis : Theorizing Qualitative Research
    Abductive Analysis : Theorizing Qualitative Research

    In Abductive Analysis, Iddo Tavory and Stefan Timmermans provide a new navigational map for constructing empirically based generalizations in qualitative research.They outline an accessible way to think about observations, methods, and theories that nurtures theory-formation without locking it into predefined conceptual boxes.The authors view research as continually moving back and forth between a set of observations and theoretical generalizations.To craft theory is to then pitch one's observations in relation to other potential cases, both within and without one's field.The book provides novel ways to approach the challenges that plague qualitative researchers across the social sciences-how to think about the relation between methods and theories, how to conceptualize causality, how to construct axes of variation, and how to leverage the researcher's community of inquiry.Abductive Analysis is a landmark work that shows how a pragmatist approach provides a more productive and fruitful way to conduct qualitative research.

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  • Research Design and Statistical Analysis
    Research Design and Statistical Analysis

    This fully updated fourth edition of Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data.The guiding philosophy is to provide a strong conceptual foundation so that readers can generalize to new situations they encounter in their research, including new developments in data analysis. Key features include:Emphasis on basic concepts such as sampling distributions, design efficiency, and expected mean squares, relating the research designs and data analyses to the statistical models that underlie the analyses. Detailed instructions on performing analysis using both R and SPSS. Pedagogical exercises mapped to key topic areas to support students as they review their understanding and strive to reach their higher learning goals. Incorporating the analyses of both experimental and observational data, and with coverage that is broad and deep enough to serve a two-semester sequence, this textbook is suitable for researchers, graduate students and advanced undergraduates in psychology, education, and other behavioral, social, and health sciences. The book is supported by a robust set of digital resources, including data files and exercises from the book in an Excel format for easy import into R or SPSS; R scripts for running example analysis and generating figures; and a solutions manual.

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  • Research Design and Statistical Analysis
    Research Design and Statistical Analysis

    This fully updated fourth edition of Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data.The guiding philosophy is to provide a strong conceptual foundation so that readers can generalize to new situations they encounter in their research, including new developments in data analysis. Key features include:Emphasis on basic concepts such as sampling distributions, design efficiency, and expected mean squares, relating the research designs and data analyses to the statistical models that underlie the analyses. Detailed instructions on performing analysis using both R and SPSS. Pedagogical exercises mapped to key topic areas to support students as they review their understanding and strive to reach their higher learning goals. Incorporating the analyses of both experimental and observational data, and with coverage that is broad and deep enough to serve a two-semester sequence, this textbook is suitable for researchers, graduate students and advanced undergraduates in psychology, education, and other behavioral, social, and health sciences. The book is supported by a robust set of digital resources, including data files and exercises from the book in an Excel format for easy import into R or SPSS; R scripts for running example analysis and generating figures; and a solutions manual.

    Price: 69.99 £ | Shipping*: 0.00 £
  • What is the difference between a textual analysis, a scene analysis, and a narrative analysis?

    A textual analysis focuses on the language and structure of a written text, examining the use of literary devices, themes, and symbolism. A scene analysis, on the other hand, zooms in on a specific segment of a film or play, analyzing the visual and auditory elements, character interactions, and the overall impact of the scene on the narrative. Narrative analysis, meanwhile, looks at the broader story structure, character development, and the way the plot unfolds over the course of the entire text. Each type of analysis offers a unique perspective on the text and allows for a deeper understanding of its meaning and impact.

  • What is the difference between Analysis and Higher Analysis?

    Analysis is the branch of mathematics that deals with limits, continuity, derivatives, integrals, and infinite series. It is a fundamental area of mathematics that is essential for understanding calculus and other advanced mathematical concepts. Higher Analysis, on the other hand, refers to more advanced topics within the field of analysis, such as functional analysis, complex analysis, and harmonic analysis. These areas delve deeper into the study of functions, spaces, and structures, and often involve more abstract and complex mathematical techniques.

  • Is source analysis the same as factual text analysis?

    Source analysis and factual text analysis are related but not the same. Source analysis involves evaluating the credibility, bias, and perspective of the source of information, while factual text analysis focuses on examining the content of the text for accuracy and reliability of the information presented. Source analysis helps determine the trustworthiness of the information, while factual text analysis assesses the content itself. Both are important in critically evaluating information, but they involve different aspects of analysis.

  • What is the difference between Analysis and Advanced Analysis?

    Analysis typically involves examining data or information to understand its components, structure, and meaning. Advanced Analysis, on the other hand, involves a more in-depth and complex examination of data using sophisticated techniques and tools. It often requires a higher level of expertise and specialized knowledge to uncover deeper insights, patterns, and trends that may not be easily visible through traditional analysis methods. Advanced Analysis may also involve predictive modeling, machine learning, or other advanced statistical techniques to extract valuable insights from data.

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