Statistical Analysis of Empirical Data

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Publisher : Springer Nature
ISBN 13 : 3030433285
Total Pages : 278 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Statistical Analysis of Empirical Data by : Scott Pardo

Download or read book Statistical Analysis of Empirical Data written by Scott Pardo and published by Springer Nature. This book was released on 2020-05-04 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Researchers and students who use empirical investigation in their work must go through the process of selecting statistical methods for analyses, and they are often challenged to justify these selections. This book is designed for readers with limited background in statistical methodology who seek guidance in defending their statistical decision-making in the worlds of research and practice. It is devoted to helping students and scholars find the information they need to select data analytic methods, and to speak knowledgeably about their statistical research processes. Each chapter opens with a conundrum relating to the selection of an analysis, or to explaining the nature of an analysis. Throughout the chapter, the analysis is described, along with some guidance in justifying the choices of that particular method. Designed to offer statistical knowledge to the non-specialist, this volume can be used in courses on research methods, or for courses on statistical applications to biological, medical, life, social, or physical sciences. It will also be useful to academic and industrial researchers in engineering and in the physical sciences who will benefit from a stronger understanding of how to analyze empirical data. The book is written for those with foundational education in calculus. However, a brief review of fundamental concepts of probability and statistics, together with a primer on some concepts in elementary calculus and matrix algebra, is included. R code and sample datasets are provided.

Empirical Modeling and Data Analysis for Engineers and Applied Scientists

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Publisher : Springer
ISBN 13 : 3319327682
Total Pages : 247 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Empirical Modeling and Data Analysis for Engineers and Applied Scientists by : Scott A. Pardo

Download or read book Empirical Modeling and Data Analysis for Engineers and Applied Scientists written by Scott A. Pardo and published by Springer. This book was released on 2016-07-19 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook teaches advanced undergraduate and first-year graduate students in Engineering and Applied Sciences to gather and analyze empirical observations (data) in order to aid in making design decisions. While science is about discovery, the primary paradigm of engineering and "applied science" is design. Scientists are in the discovery business and want, in general, to understand the natural world rather than to alter it. In contrast, engineers and applied scientists design products, processes, and solutions to problems. That said, statistics, as a discipline, is mostly oriented toward the discovery paradigm. Young engineers come out of their degree programs having taken courses such as "Statistics for Engineers and Scientists" without any clear idea as to how they can use statistical methods to help them design products or processes. Many seem to think that statistics is only useful for demonstrating that a device or process actually does what it was designed to do. Statistics courses emphasize creating predictive or classification models - predicting nature or classifying individuals, and statistics is often used to prove or disprove phenomena as opposed to aiding in the design of a product or process. In industry however, Chemical Engineers use designed experiments to optimize petroleum extraction; Manufacturing Engineers use experimental data to optimize machine operation; Industrial Engineers might use data to determine the optimal number of operators required in a manual assembly process. This text teaches engineering and applied science students to incorporate empirical investigation into such design processes. Much of the discussion in this book is about models, not whether the models truly represent reality but whether they adequately represent reality with respect to the problems at hand; many ideas focus on how to gather data in the most efficient way possible to construct adequate models. Includes chapters on subjects not often seen together in a single text (e.g., measurement systems, mixture experiments, logistic regression, Taguchi methods, simulation) Techniques and concepts introduced present a wide variety of design situations familiar to engineers and applied scientists and inspire incorporation of experimentation and empirical investigation into the design process. Software is integrally linked to statistical analyses with fully worked examples in each chapter; fully worked using several packages: SAS, R, JMP, Minitab, and MS Excel - also including discussion questions at the end of each chapter. The fundamental learning objective of this textbook is for the reader to understand how experimental data can be used to make design decisions and to be familiar with the most common types of experimental designs and analysis methods.

Empirical Research in Statistics Education

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Publisher : Springer
ISBN 13 : 3319389688
Total Pages : 37 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Empirical Research in Statistics Education by : Andreas Eichler

Download or read book Empirical Research in Statistics Education written by Andreas Eichler and published by Springer. This book was released on 2016-06-18 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: This ICME-13 Topical Survey provides a review of recent research into statistics education, with a focus on empirical research published in established educational journals and on the proceedings of important conferences on statistics education. It identifies and addresses six key research topics, namely: teachers’ knowledge; teachers’ role in statistics education; teacher preparation; students’ knowledge; students’ role in statistics education; and how students learn statistics with the help of technology. For each topic, the survey builds upon existing reviews, complementing them with the latest research.

Exploratory Data Analysis in Empirical Research

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Publisher : Springer Science & Business Media
ISBN 13 : 364255721X
Total Pages : 547 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Exploratory Data Analysis in Empirical Research by : Manfred Schwaiger

Download or read book Exploratory Data Analysis in Empirical Research written by Manfred Schwaiger and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents a selection of new methods and approaches in the field of Exploratory Data Analysis. The reader will find numerous ideas and examples for cross disciplinary applications of classification and data analysis methods in fields such as data and web mining, medicine and biological sciences as well as marketing, finance and management sciences.

Statistics and Causality

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Publisher : John Wiley & Sons
ISBN 13 : 1118947061
Total Pages : 624 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Statistics and Causality by : Wolfgang Wiedermann

Download or read book Statistics and Causality written by Wolfgang Wiedermann and published by John Wiley & Sons. This book was released on 2016-05-12 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: b”STATISTICS AND CAUSALITYA one-of-a-kind guide to identifying and dealing with modern statistical developments in causality Written by a group of well-known experts, Statistics and Causality: Methods for Applied Empirical Research focuses on the most up-to-date developments in statistical methods in respect to causality. Illustrating the properties of statistical methods to theories of causality, the book features a summary of the latest developments in methods for statistical analysis of causality hypotheses. The book is divided into five accessible and independent parts. The first part introduces the foundations of causal structures and discusses issues associated with standard mechanistic and difference-making theories of causality. The second part features novel generalizations of methods designed to make statements concerning the direction of effects. The third part illustrates advances in Granger-causality testing and related issues. The fourth part focuses on counterfactual approaches and propensity score analysis. Finally, the fifth part presents designs for causal inference with an overview of the research designs commonly used in epidemiology. Statistics and Causality: Methods for Applied Empirical Research also includes: New statistical methodologies and approaches to causal analysis in the context of the continuing development of philosophical theories End-of-chapter bibliographies that provide references for further discussions and additional research topics Discussions on the use and applicability of software when appropriate Statistics and Causality: Methods for Applied Empirical Research is an ideal reference for practicing statisticians, applied mathematicians, psychologists, sociologists, logicians, medical professionals, epidemiologists, and educators who want to learn more about new methodologies in causal analysis. The book is also an excellent textbook for graduate-level courses in causality and qualitative logic.

Real Data

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Publisher : Routledge
ISBN 13 : 1351867296
Total Pages : 169 pages
Book Rating : 4.3/5 (518 download)

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Book Synopsis Real Data by : Zealure C Holcomb

Download or read book Real Data written by Zealure C Holcomb and published by Routledge. This book was released on 2016-09-01 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: • In Real Data, students predict the answers to interesting questions. Then they analyze data supplied by leading researchers to see if there is empirical support for their predictions. • Students get practice in computing all the major statistics usually covered in an introductory statistics course. • Because each of the 35 exercises in Part A deals with only a limited number of statistics, the workbook is easily coordinated with all introductory statistics textbooks. • Part A emphasizes small data sets that are useful whether students are using calculators or computers. The exercises in this part are highly structured so students know exactly what is required of them. • Part B provides larger data sets for comprehensive analysis by computer users. Loosely structured, the data sets allow you to specify which statistics should be computed. • Sample topics: Kissing and Sexual Harassment; Basic Trust of Rape Survivors; Gambling and Stealing; Pregnancy Risk Among Adolescents Who Had Been Sexually Abused; Boys Interacting with Their Fathers; Racial Differences in Seeking Medical Assistance; Instructors’ Clothing and Student Evaluations; Students’ Attitudes Toward Math; and Physician-Assisted Suicide. • Using real data for analysis makes the traditional statistics class come alive.

Introduction to Space Syntax in Urban Studies

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Publisher : Springer Nature
ISBN 13 : 3030591409
Total Pages : 265 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Introduction to Space Syntax in Urban Studies by : Akkelies van Nes

Download or read book Introduction to Space Syntax in Urban Studies written by Akkelies van Nes and published by Springer Nature. This book was released on 2021-07-31 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access textbook is a comprehensive introduction to space syntax method and theory for graduate students and researchers. It provides a step-by-step approach for its application in urban planning and design. This textbook aims to increase the accessibility of the space syntax method for the first time to all graduate students and researchers who are dealing with the built environment, such as those in the field of architecture, urban design and planning, urban sociology, urban geography, archaeology, road engineering, and environmental psychology. Taking a didactical approach, the authors have structured each chapter to explain key concepts and show practical examples followed by underlying theory and provided exercises to facilitate learning in each chapter. The textbook gradually eases the reader into the fundamental concepts and leads them towards complex theories and applications. In summary, the general competencies gain after reading this book are: – to understand, explain, and discuss space syntax as a method and theory; – be capable of undertaking various space syntax analyses such as axial analysis, segment analysis, point depth analysis, or visibility analysis; – be able to apply space syntax for urban research and design practice; – be able to interpret and evaluate space syntax analysis results and embed these in a wider context; – be capable of producing new original work using space syntax. This holistic textbook functions as compulsory literature for spatial analysis courses where space syntax is part of the methods taught. Likewise, this space syntax book is useful for graduate students and researchers who want to do self-study. Furthermore, the book provides readers with the fundamental knowledge to understand and critically reflect on existing literature using space syntax.

Statistical Analysis for Education and Psychology Researchers

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Publisher : Routledge
ISBN 13 : 1135717516
Total Pages : 436 pages
Book Rating : 4.1/5 (357 download)

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Book Synopsis Statistical Analysis for Education and Psychology Researchers by : Ian Peers

Download or read book Statistical Analysis for Education and Psychology Researchers written by Ian Peers and published by Routledge. This book was released on 2006-02-27 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Basic statistical concepts such as probability, estimation and inference, and their role in research design and analysis are presented in this volume. The author demonstrates which statistical test to use in given circumstances and how to use it, drawing on data from psychology and education.; Written for those without a strong mathematical background, the book's examples can be worked using a pocket calculator. "Real life" data are analyzed using statistical software (SAS), output is interpreted, and a decision chart is presented which summarizes considerations when choosing a statistical test.

Statistical Analysis of Nonnormal Data

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Publisher : Taylor & Francis
ISBN 13 : 9788122407075
Total Pages : 256 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Statistical Analysis of Nonnormal Data by : J. V. Deshpande

Download or read book Statistical Analysis of Nonnormal Data written by J. V. Deshpande and published by Taylor & Francis. This book was released on 1995 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Analysis Of Nonnormal Data Has Successfully Made Available In One Place Nonparametric Methods And Methods Of Discrete Data-Analysis. It Has Attempted To Introduce The Reader To Methods Appropriate For Simple, Continuous, Nonnormal Distribution Of Interest In The Newly Emerging Area Of Survival Analysis And Reliability. The Book Also Provides Computer Programmes For Ready Use.It Can Be Used By Anyone Familiar With Standard Statistical Principles And The Tools In The Framework Of Normal Distribution. Computer Programmes Are In Theready To Use Format. Therefore, Familiarity With Operations Of A Personal Computer And A Dos Environment Is The Only Prerequisite.The Book Would Make An Excellent Text For A Second Course In Statistical Methods For Biologists, Social Scientists, Engineers, Etc. Researchers In Various Disciplines Should Be Able To Use The Methods Described In The Book Without The Benefit Of A Formal Course.

Advanced Statistical Methods in Data Science

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Publisher : Springer
ISBN 13 : 9811025940
Total Pages : 222 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Advanced Statistical Methods in Data Science by : Ding-Geng Chen

Download or read book Advanced Statistical Methods in Data Science written by Ding-Geng Chen and published by Springer. This book was released on 2016-11-30 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers invited presentations from the 2nd Symposium of the ICSA- CANADA Chapter held at the University of Calgary from August 4-6, 2015. The aim of this Symposium was to promote advanced statistical methods in big-data sciences and to allow researchers to exchange ideas on statistics and data science and to embraces the challenges and opportunities of statistics and data science in the modern world. It addresses diverse themes in advanced statistical analysis in big-data sciences, including methods for administrative data analysis, survival data analysis, missing data analysis, high-dimensional and genetic data analysis, longitudinal and functional data analysis, the design and analysis of studies with response-dependent and multi-phase designs, time series and robust statistics, statistical inference based on likelihood, empirical likelihood and estimating functions. The editorial group selected 14 high-quality presentations from this successful symposium and invited the presenters to prepare a full chapter for this book in order to disseminate the findings and promote further research collaborations in this area. This timely book offers new methods that impact advanced statistical model development in big-data sciences.

Conducting Empirical Analysis

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Publisher : SAGE
ISBN 13 : 1483305155
Total Pages : 192 pages
Book Rating : 4.4/5 (833 download)

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Book Synopsis Conducting Empirical Analysis by : Rosalee A. Clawson

Download or read book Conducting Empirical Analysis written by Rosalee A. Clawson and published by SAGE. This book was released on 2010-12-14 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Conducting Empirical Analysis is an ideal way to marry substance with skills, getting students to experience the joy of discovery firsthand. Through straightforward instruction and guided examples, Clawson and Oxley show students how to conduct web-based data analysis using UC Berkeley’s Survey Documentation and Analysis (available online for free) to answer questions about party identification or attitude stability, and to measure racial prejudice and political knowledge. Exercises cover a range of data collection techniques, survey research, and statistical analyses, ramping up from multiple-choice and open-ended questions to mini-research projects. An instructor’s guide with solutions is available for adopters.

Statistics in Psychology Using R and SPSS

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Publisher : John Wiley & Sons
ISBN 13 : 1119952026
Total Pages : 565 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Statistics in Psychology Using R and SPSS by : Dieter Rasch

Download or read book Statistics in Psychology Using R and SPSS written by Dieter Rasch and published by John Wiley & Sons. This book was released on 2011-10-27 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics in Psychology covers all statistical methods needed in education and research in psychology. This book looks at research questions when planning data sampling, that is to design the intended study and to calculate the sample sizes in advance. In other words, no analysis applies if the minimum size is not determined in order to fulfil certain precision requirements. The book looks at the process of empirical research into the following seven stages: Formulation of the problem Stipulation of the precision requirements Selecting the statistical model for the planning and analysis The (optimal) design of the experiment or survey Performing the experiment or the survey Statistical analysis of the observed results Interpretation of the results.

Multivariate Analysis

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Publisher : Springer Nature
ISBN 13 : 3658404116
Total Pages : 618 pages
Book Rating : 4.6/5 (584 download)

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Book Synopsis Multivariate Analysis by : Klaus Backhaus

Download or read book Multivariate Analysis written by Klaus Backhaus and published by Springer Nature. This book was released on 2023-06-28 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data can be extremely valuable if we are able to extract information from them. This is why multivariate data analysis is essential for business and science. This book offers an easy-to-understand introduction to the most relevant methods of multivariate data analysis. It is strictly application-oriented, requires little knowledge of mathematics and statistics, demonstrates the procedures with numerical examples and illustrates each method via a case study solved with IBM’s statistical software package SPSS. Extensions of the methods and links to other procedures are discussed and recommendations for application are given. An introductory chapter presents the basic ideas of the multivariate methods covered in the book and refreshes statistical basics which are relevant to all methods. For the 2nd edition, all chapters were checked and calculated using the current version of IBM SPSS. Contents Introduction to empirical data analysis Regression analysis Analysis of variance Discriminant analysis Logistic regression Contingency analysis Factor analysis Cluster analysis Conjoint analysis The original German version is now available in its 17th edition. In 2015, this book was honored by the Federal Association of German Market and Social Researchers as “the textbook that has shaped market research and practice in German-speaking countries”. A Chinese version is available in its 3rd edition. On the website www.multivariate-methods.info, the authors further analyze the data with Excel and R and provide additional material to facilitate the understanding of the different multivariate methods. In addition, interactive flashcards are available to the reader for reviewing selected focal points. Download the Springer Nature Flashcards App and use exclusive content to test your knowledge.

Applied Statistics and Multivariate Data Analysis for Business and Economics

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Publisher : Springer
ISBN 13 : 303017767X
Total Pages : 488 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Applied Statistics and Multivariate Data Analysis for Business and Economics by : Thomas Cleff

Download or read book Applied Statistics and Multivariate Data Analysis for Business and Economics written by Thomas Cleff and published by Springer. This book was released on 2019-07-10 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it demonstrates the methods of univariate, bivariate, and multivariate statistical analysis. The textbook covers a range of topics, from data collection and scaling to the presentation and simple univariate analysis of quantitative data, while also providing advanced analytical procedures for assessing multivariate relationships. Accordingly, it addresses all topics typically covered in university courses on statistics and advanced applied data analysis. In addition, it does not limit itself to presenting applied methods, but also discusses the related use of Excel, SPSS, and Stata.

The Statistical Analysis of Series of Events

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Publisher : Springer
ISBN 13 :
Total Pages : 304 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis The Statistical Analysis of Series of Events by : David R. Cox

Download or read book The Statistical Analysis of Series of Events written by David R. Cox and published by Springer. This book was released on 1966-01-27 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: The poisson process; Analysis of trends; Stationary point processes; Estimation of second-order properties of stationary processes; Reewal processes and some related significance tests; Generalizations of renewal processes; Superposition of processes; Comparison of rates of occurrence; Some generalizations.

Illustrating Statistical Procedures: Finding Meaning in Quantitative Data

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Publisher : Springer Nature
ISBN 13 : 9811525374
Total Pages : 752 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Illustrating Statistical Procedures: Finding Meaning in Quantitative Data by : Ray W. Cooksey

Download or read book Illustrating Statistical Procedures: Finding Meaning in Quantitative Data written by Ray W. Cooksey and published by Springer Nature. This book was released on 2020-05-14 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book occupies a unique position in the field of statistical analysis in the behavioural and social sciences in that it targets learners who would benefit from learning more conceptually and less computationally about statistical procedures and the software packages that can be used to implement them. This book provides a comprehensive overview of this important research skill domain with an emphasis on visual support for learning and better understanding. The primary focus is on fundamental concepts, procedures and interpretations of statistical analyses within a single broad illustrative research context. The book covers a wide range of descriptive, correlational and inferential statistical procedures as well as more advanced procedures not typically covered in introductory and intermediate statistical texts. It is an ideal reference for postgraduate students as well as for researchers seeking to broaden their conceptual exposure to what is possible in statistical analysis.

Contemporary Empirical Methods in Software Engineering

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Publisher : Springer Nature
ISBN 13 : 3030324893
Total Pages : 525 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Contemporary Empirical Methods in Software Engineering by : Michael Felderer

Download or read book Contemporary Empirical Methods in Software Engineering written by Michael Felderer and published by Springer Nature. This book was released on 2020-08-27 with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents contemporary empirical methods in software engineering related to the plurality of research methodologies, human factors, data collection and processing, aggregation and synthesis of evidence, and impact of software engineering research. The individual chapters discuss methods that impact the current evolution of empirical software engineering and form the backbone of future research. Following an introductory chapter that outlines the background of and developments in empirical software engineering over the last 50 years and provides an overview of the subsequent contributions, the remainder of the book is divided into four parts: Study Strategies (including e.g. guidelines for surveys or design science); Data Collection, Production, and Analysis (highlighting approaches from e.g. data science, biometric measurement, and simulation-based studies); Knowledge Acquisition and Aggregation (highlighting literature research, threats to validity, and evidence aggregation); and Knowledge Transfer (discussing open science and knowledge transfer with industry). Empirical methods like experimentation have become a powerful means of advancing the field of software engineering by providing scientific evidence on software development, operation, and maintenance, but also by supporting practitioners in their decision-making and learning processes. Thus the book is equally suitable for academics aiming to expand the field and for industrial researchers and practitioners looking for novel ways to check the validity of their assumptions and experiences. Chapter 17 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.