Joint fact-finding is a cooperative venture and communication among the participants is critical to success. Analysts have begun to recognize this and have started to adjust their craft to reflect the communicative character of their work. Non-analysts usually judge experts' opinions by their value, effectiveness, and legitimacy rather than soundness of the conclusions. Accordingly, experts must recognize the importance of these non-scientific criteria, and learn to communicate better with their non-expert colleagues. Practically, this means explaining the rationale and implications behind their findings in an easily digestible way. Andrews uses real cases to illustrate his argument that analysts should marry process to analysis, spread information, reason inductively, broaden their analytic scope, put analytic results into lay terms, and constantly seek out feedback on their work. Technical specialists who perform analysis in public settings can turn to Andrews's book for ideas about how to do their jobs more effectively. Scholars interested in the connection between expertise and the process of social learning will find his case study approach useful. Beginning with an analysis of the motivations and concepts at work in the process of joint fact finding, Andrews assesses the challenges analysts face from those who hire them and from their non-expert colleagues. He then illustrates his remarks with case studies of projects that have failed and succeeded. The book concludes by summing up the mistakes learned and elements that make for successful joint fact finding.

Summary, Analysis & Review of Gene Kim’s, Jez Humble’s, Patrick Debois’s, & John Willis’s The DevOps Handbook by Instaread Preview: The DevOps Handbook: How to Create World-Class Agility, Reliability, & Security in Technology Organizations is a manual for technology companies looking to improve their ability to deliver high-value products to consumers. In the 1980s, Toyota revolutionized manufacturing with its application of the Lean production philosophy. Today, DevOps seeks to apply the principles of Lean manufacturing to the technology industry. To do so, DevOps unites the two traditionally clashing bodies of the corporate IT department: Development and Operations. In traditional IT departments, the Development group builds products and then hands them off to Operations to launch them and keep them up and running. This can lead to tension because products may be untested in real-world conditions when Development builds them, which leaves Operations to clean up the mess while trying simultaneously to keep the product afloat for customers after launch. Instead, DevOps seeks to share responsibilities across cross-functional teams. In this… PLEASE NOTE: This is a Summary, Analysis & Review of the book and NOT the original book. Inside this Summary, Analysis & Review of Gene Kim’s, Jez Humble’s, Patrick Debois’s, & John Willis’s The DevOps Handbook by Instaread · Overview of the Book · Important People · Key Takeaways · Analysis of Key Takeaways About the Author With Instaread, you can get the key takeaways and analysis of a book in 15 minutes. We read every chapter, identify the key takeaways and analyze them for your convenience. Visit our website at instaread.co.

The only comprehensive text available on space propulsion for students and professionals in astronautics.

#1 INTERNATIONAL BESTSELLER AN ADAM SAVAGE BOOK CLUB PICK The book-length answer to anyone who ever put their hand up in math class and asked, “When am I ever going to use this in the real world?” “Fun, informative, and relentlessly entertaining, Humble Pi is a charming and very readable guide to some of humanity's all-time greatest miscalculations—that also gives you permission to feel a little better about some of your own mistakes.” —Ryan North, author of How to Invent Everything Our whole world is built on math, from the code running a website to the equations enabling the design of skyscrapers and bridges. Most of the time this math works quietly behind the scenes . . . until it doesn’t. All sorts of seemingly innocuous mathematical mistakes can have significant consequences. Math is easy to ignore until a misplaced decimal point upends the stock market, a unit conversion error causes a plane to crash, or someone divides by zero and stalls a battleship in the middle of the ocean. Exploring and explaining a litany of glitches, near misses, and mathematical mishaps involving the internet, big data, elections, street signs, lotteries, the Roman Empire, and an Olympic team, Matt Parker uncovers the bizarre ways math trips us up, and what this reveals about its essential place in our world. Getting it wrong has never been more fun.

Bringing together the techniques required to understand, interpret and quantify the processes involved when exploring structures and relationships in questionnaire data, Quantitative Analysis of Questionnaires provides the knowledge and capability for a greater understanding of choice decisions. The ideal companion for non-mathematical students with no prior knowledge of quantitative methods, it highlights how to uncover and explore what lies within data that cannot be achieved through descriptive statistics. This book introduces significance testing, contingency tables, correlations, factor analysis (exploratory and confirmatory), regression (linear and logistic), discrete choice theory and item response theory. Using simple and clear methodology, and rich examples from a range of settings, this book: provides hands-on analysis with data sets from both SPSS and Stata packages; explores how to articulate the calculations and theory around statistical techniques; offers workable examples in each chapter with concepts, applications and proofs to help produce a higher quality of research outputs; discusses the use of formulas in the appendix for those who wish to explore a greater mathematical understanding of the concepts. Quantitative Analysis of Questionnaires is the ideal introductory textbook for any student looking to begin and or improve statistical learning as well as interpretation.

Winner of the 2020 Anselm Strauss Award for Qualitative Family Research, National Council on Family Relations. How is qualitative data actually collected, analyzed, and accomplished? Real stories of How Qualitative Data Analysis Occurs: Moving Beyond "Themes Emerged" offers an in-depth look into how qualitative social science researchers studying family issues and dynamics approach their data analyses. It moves beyond the usual vague statement of "themes emerged from the data" to show readers how researchers actively and consciously arrive at their themes and conclusions, revealing the complexity and time involved in making sense of thousands of pages of interview data, multiple data sources, and diverse types of data. How Qualitative Data Analysis Occurs focuses on a diversity of topics in family research across the life course. The various authors provide detailed narratives into how they analyzed their data from previous publications, and what methodologies they used, ranging from arts-based research, autoethnography, community-based participatory research, ethnography, grounded theory, to narrative analysis. Supplemental figures, images, and screenshots which are referred to in the chapters, are included in an accompanying eResource, as well as links to the previously published work on which the chapters are based. This book is an invaluable resource for experienced and novice qualitative researchers throughout the social sciences.

In his classic book, The Five Dysfunctions of a Team, Patrick Lencioni laid out a groundbreaking approach for tackling the perilous group behaviors that destroy teamwork. Here he turns his focus to the individual, revealing the three indispensable virtues of an ideal team player. In The Ideal Team Player, Lencioni tells the story of Jeff Shanley, a leader desperate to save his uncle’s company by restoring its cultural commitment to teamwork. Jeff must crack the code on the virtues that real team players possess, and then build a culture of hiring and development around those virtues. Beyond the fable, Lencioni presents a practical framework and actionable tools for identifying, hiring, and developing ideal team players. Whether you’re a leader trying to create a culture around teamwork, a staffing professional looking to hire real team players, or a team player wanting to improve yourself, this book will prove to be as useful as it is compelling.