Using Stata for Quantitative Analysis, Second Edition offers a brief, but thorough introduction to analyzing data with Stata software. It can be used as a reference for any statistics or methods course across the social, behavioral, and health sciences since these fields share a relatively similar approach to quantitative analysis. In this book, author Kyle Longest teaches the language of Stata from an intuitive perspective, furthering students’ overall retention and allowing a student with no experience in statistical software to work with data in a very short amount of time. The self-teaching style of this book enables novice Stata users to complete a basic quantitative research project from start to finish. The Second Edition covers the use of Stata 13 and can be used on its own or as a supplement to a research methods or statistics textbook.
An introduction to the importance of trace environmental quantitative analysis. Fundamental principles are introduced for the more significant experimental approaches to sample preparation. Principles of instrumental analysis (determinative techniques) for trace organics and trace inorganics analysis. Fundamental principles of measurement and environmental sampling. An introduction to the statistical treatment of trace analytical data. How to calculate instrument detection limits based on weighted least squares confidence band calibration statistics. Includes an updated series of student-tested experiments.
Laboratory Experiments in Trace Environmental Quantitative Analysis is a collection of student-tested experiments that introduce important principles that underlie various laboratory techniques in the field of trace environmental organics and inorganics quantitative analysis. It crosses the more traditional academic disciplines of environmental science and analytical chemistry. The text is organized to begin with minimally rigorous session/experiments and increase in rigor as each session/experiment unfolds. Each experiment features learning objectives, expected student outcomes, and suggestions for further study. Additional features include: Students are introduced to the principles and laboratory practice of instrumental analysis (determinative techniques) that are clearly presented. Students are carefully taken through various ways to prepare samples for trace quantitative analysis (sample prep techniques). Safety warnings are listed within each experiment. Students are introduced to all three types of instrument calibration: external, internal and standard addition. Instructors who are responsible for laboratory courses in analytical chemistry with potential application to environmental sample matrices will find this textbook of value. Graduate programs in environmental science and engineering will also greatly benefit from the content.
The contributors to Best Practices in Quantitative Methods envision quantitative methods in the 21st century, identify the best practices, and, where possible, demonstrate the superiority of their recommendations empirically. Editor Jason W. Osborne designed this book with the goal of providing readers with the most effective, evidence-based, modern quantitative methods and quantitative data analysis across the social and behavioral sciences. The text is divided into five main sections covering select best practices in Measurement, Research Design, Basics of Data Analysis, Quantitative Methods, and Advanced Quantitative Methods. Each chapter contains a current and expansive review of the literature, a case for best practices in terms of method, outcomes, inferences, etc., and broad-ranging examples along with any empirical evidence to show why certain techniques are better. Key Features: Describes important implicit knowledge to readers: The chapters in this volume explain the important details of seemingly mundane aspects of quantitative research, making them accessible to readers and demonstrating why it is important to pay attention to these details. Compares and contrasts analytic techniques: The book examines instances where there are multiple options for doing things, and make recommendations as to what is the "best" choice—or choices, as what is best often depends on the circumstances. Offers new procedures to update and explicate traditional techniques: The featured scholars present and explain new options for data analysis, discussing the advantages and disadvantages of the new procedures in depth, describing how to perform them, and demonstrating their use. Intended Audience: Representing the vanguard of research methods for the 21st century, this book is an invaluable resource for graduate students and researchers who want a comprehensive, authoritative resource for practical and sound advice from leading experts in quantitative methods.
For instructors who wish to focus on practical, industrial, or research chemistry. Includes case studies, applications boxes, and spreadsheet applications.
This is a textbook for introductory courses in quantitative research methods across the social sciences. It offers a detailed explanation of introductory statistical techniques and presents an overview of the contexts in which they should be applied.
Action Research for Classrooms, Schools, and Communities is a core book for action research courses. The book also emphasizes using action research to understand community impacts on schools, acknowledging the complex ecology linking classrooms, schools, and the community, especially regarding issues fundamental to school reform.
