This book is written for busy people who need to understand the information that is flooding them and find ways to interpret it. You may be a business executive, a medical doctor, a stay-at-home mother or father wanting to understand the Gallup poll results in the daily newspaper, or a student studying nursing, counseling, psychology, sociology, or even mathematics. Yet you need to quickly be brought into the world of research and data analysis. It does not require that you dedicate a year of your life to take a course in social-science research and quantitative data analysis. In fact, this book will not have formulas or require you to calculate mathematical functions. But you do need to have the dedication to try to understand what might be considered another language. You can do it at a pace that suits your lifestyle. You might want to take a look at the index at the end of the book to see if there are any terms youve been interested in or wondered about. It is very nontraditional in that its focus is on the concepts behind these processes rather than asking you to learn formulas and how to calculate data. If you have a desire to learn more about what is going on, there are many excellent texts in the references.

This book is written for busy people who need to understand the information that is flooding them and find ways to interpret it. You may be a business executive, a medical doctor, a stay-at-home mother or father wanting to understand the Gallup poll results in the daily newspaper, or a student studying nursing, counseling, psychology, sociology, or even mathematics. Yet you need to quickly be brought into the world of research and data analysis. It does not require that you dedicate a year of your life to take a course in social-science research and quantitative data analysis. In fact, this book will not have formulas or require you to calculate mathematical functions. But you do need to have the dedication to try to understand what might be considered another language. You can do it at a pace that suits your lifestyle. You might want to take a look at the index at the end of the book to see if there are any terms you've been interested in or wondered about. It is very nontraditional in that its focus is on the concepts behind these processes rather than asking you to learn formulas and how to calculate data. If you have a desire to learn more about what is going on, there are many excellent texts in the references.

Understanding and Evaluating Research: A Critical Guide shows students how to be critical consumers of research and to appreciate the power of methodology as it shapes the research question, the use of theory in the study, the methods used, and how the outcomes are reported. The book starts with what it means to be a critical and uncritical reader of research, followed by a detailed chapter on methodology, and then proceeds to a discussion of each component of a research article as it is informed by the methodology. The book encourages readers to select an article from their discipline, learning along the way how to assess each component of the article and come to a judgment of its rigor or quality as a scholarly report.

Miles, Huberman, and Saldaña’s Qualitative Data Analysis: A Methods Sourcebook is the authoritative text for analyzing and displaying qualitative research data. The Fourth Edition maintains the analytic rigor of previous editions while showcasing a variety of new visual display models for qualitative inquiry. Graphics are added to the now-classic matrix and network illustrations of the original co-authors. Five chapters have been substantially revised, and the appendix’s annotated bibliography includes new titles in research methods. Graduate students and established scholars from all disciplines will find this resource an innovative compendium of ideas for the representation and presentation of qualitative data. As the authors demonstrate, when researchers “think display,” their analyses of social life capture the complex and vivid processes of the people and institutions studied.

Designated a 2014 Doodyís Core Title by Doodyís Medical Reviews Concise and comprehensive, this book covers the basics of nursing research and the essentials of how to implement Evidence Based Practice (EBP). Using the short, reader-friendly, Fast Facts Series 'style,' the book is designed for those RNs studying Evidence Based Practice (EBP) who want quick access core content. Undergraduate nursing students who want a solid review of evidence based practice (& nursing research) will also find this book useful, as well as RN to BSNs student who need to assimilate content on basic nursing research. It is vital for both the practicing RNs and students to know the basics of EBP and understand how EBP can be implemented. Key features covered include: Delivery of a wide scope of EBP content in the abbreviated style of the Fast Facts series Includes coverage of quantitative and qualitative research approaches, defining the 'compelling question', finding and critiquing the evidence, and disseminating the research Unlocks the mystery surrounding systematic reviews and searching a database Class-tested content, used in seated and online course environments

HR professionals need to get to grips with artificial intelligence and the way it's changing the world of work. From using natural language processing to ensure job adverts are free from bias and gendered language to implementing chatbots to enhance the employee experience, AI has created a variety of opportunities for the HR function. Artificial Intelligence for HR empowers HR professionals to leverage this potential and use AI to improve efficiency and develop a talented and productive workforce. Outlining the current technology landscape as well as the latest AI developments, this book ensures that HR professionals fully understand what AI is and what it means for HR in practice. Covering everything from recruitment and retention to employee engagement and learning and development, Artificial Intelligence for HR outlines the value AI can add to HR. It also features discussions on the challenges that can arise from AI and how to deal with them, including data privacy, algorithmic bias and how to develop the skills of a workforce with the rise of automation, robotics and machine learning in order to make it more human, not less. Packed with practical advice, research and case studies from global organizations including Uber, IBM and Unilever, this book will equip HR professionals with the knowledge they need to leverage AI to recruit and develop a successful workforce and help their businesses thrive in the future.

Focuses on detailed instruction in a single statistical technique, simple linear regression (SLR), with the goal of gaining tools, understanding, and intuition that can be applied to other contexts.