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Rigorous Data Analysis

Rigorous Data Analysis PDF Author: Wolff-Michael Roth
Publisher: Springer
ISBN: 9462099987
Category : Education
Languages : en
Pages : 242

Book Description
In qualitative research, one can often hear the statement that research results are just (social) constructions. In criminal cases and in court hearings, we tend to expect that the true sequence of events has to be found rather than just any story. Here the author shows that qualitative social research can be conducted in the manner of police work or court proceedings. He does so by exhibiting how short pieces of transcriptions can be approached to uncover who, when, where, and how participated, what kind of social situation produced the transcription, and so on without any background knowledge other than that talk itself. Commenting on transcriptions of a researcher in the course of doing rigorous data analysis, readers learn doing ethnographically adequate accounts and critical institutional ethnography “at the elbow” of an experienced practitioners. Further topics include the role of turn sequences, the ethnomethods of knowledge-power and institutional relations, the documentary method of interpretation, and time-sensitive social analysis.

Rigorous Data Analysis

Rigorous Data Analysis PDF Author: Wolff-Michael Roth
Publisher: Springer
ISBN: 9462099987
Category : Education
Languages : en
Pages : 242

Book Description
In qualitative research, one can often hear the statement that research results are just (social) constructions. In criminal cases and in court hearings, we tend to expect that the true sequence of events has to be found rather than just any story. Here the author shows that qualitative social research can be conducted in the manner of police work or court proceedings. He does so by exhibiting how short pieces of transcriptions can be approached to uncover who, when, where, and how participated, what kind of social situation produced the transcription, and so on without any background knowledge other than that talk itself. Commenting on transcriptions of a researcher in the course of doing rigorous data analysis, readers learn doing ethnographically adequate accounts and critical institutional ethnography “at the elbow” of an experienced practitioners. Further topics include the role of turn sequences, the ethnomethods of knowledge-power and institutional relations, the documentary method of interpretation, and time-sensitive social analysis.

Vegetation Description and Data Analysis

Vegetation Description and Data Analysis PDF Author: Martin Kent
Publisher: John Wiley & Sons
ISBN: 1119962390
Category : Science
Languages : en
Pages : 432

Book Description
Vegetation Description and Data Analysis: A Practical Approach, Second Edition is a fully revised and up-dated edition of this key text. The book takes account of recent advances in the field whilst retaining the original reader-friendly approach to the coverage of vegetation description and multivariate analysis in the context of vegetation data and plant ecology. Since the publication of the hugely popular first edition there have been significant developments in computer hardware and software, new key journals have been established in the field and scope and application of vegetation description and analysis has become a truly global field. This new edition includes full coverage of new developments and technologies. This contemporary and comprehensive edition of this well-known and respected textbook will prove invaluable to undergraduate and graduate students in biological sciences, environmental science, geography, botany, agriculture, forestry and biological conservation. Fully international approach Includes illustrative case studies throughout Now with new material on: the nature of plant communities; transitional areas between plant communities; induction and deduction of plant ecology; diversity indices and dominance diversity curves; multivariate analysis in ecology. Accessible, reader-friendly style Now with new and improved illustrations

Qualitative and Mixed Methods Data Analysis Using Dedoose

Qualitative and Mixed Methods Data Analysis Using Dedoose PDF Author: Michelle Salmona
Publisher: SAGE Publications
ISBN: 1506397808
Category : Social Science
Languages : en
Pages : 280

Book Description
Qualitative and Mixed Methods Data Analysis Using Dedoose®: A Practical Approach for Research Across the Social Sciences provides both new and experienced researchers with a guided introduction to dealing with the methodological complexity of mixed methods and qualitative inquiry using Dedoose® software. The authors use their depth of experience designing and updating Dedoose® as well as their published research to give the reader practical strategies for using Dedoose® from a wide range of research studies. Case study contributions by outside researchers provide readers with rich examples of how to use Dedoose® in practical, applied social science and health settings.

An Introduction to Data Analysis

An Introduction to Data Analysis PDF Author: Tiffany Bergin
Publisher: SAGE
ISBN: 1526452316
Category : Reference
Languages : en
Pages : 296

Book Description
Covering the general process of data analysis to finding, collecting, organizing, and presenting data, this book offers a complete introduction to the fundamentals of data analysis. Using real-world case studies as illustrations, it helps readers understand theories behind and develop techniques for conducting quantitative, qualitative, and mixed methods data analysis. With an easy-to-follow organization and clear, jargon-free language, it helps readers not only become proficient data analysts, but also develop the critical thinking skills necessary to assess analyses presented by others in both academic research and the popular media. It includes advice on: - Data analysis frameworks - Validity and credibility of data - Sampling techniques - Data management - The big data phenomenon - Data visualisation - Effective data communication Whether you are new to data analysis or looking for a quick-reference guide to key principles of the process, this book will help you uncover nuances, complexities, patterns, and relationships among all types of data.

Longitudinal Data Analysis

Longitudinal Data Analysis PDF Author: Donald Hedeker
Publisher: John Wiley & Sons
ISBN: 0470036478
Category : Mathematics
Languages : en
Pages : 360

Book Description
Longitudinal data analysis for biomedical and behavioral sciences This innovative book sets forth and describes methods for the analysis of longitudinaldata, emphasizing applications to problems in the biomedical and behavioral sciences. Reflecting the growing importance and use of longitudinal data across many areas of research, the text is designed to help users of statistics better analyze and understand this type of data. Much of the material from the book grew out of a course taught by Dr. Hedeker on longitudinal data analysis. The material is, therefore, thoroughly classroom tested and includes a number of features designed to help readers better understand and apply the material. Statistical procedures featured within the text include: * Repeated measures analysis of variance * Multivariate analysis of variance for repeated measures * Random-effects regression models (RRM) * Covariance-pattern models * Generalized-estimating equations (GEE) models * Generalizations of RRM and GEE for categorical outcomes Practical in their approach, the authors emphasize the applications of the methods, using real-world examples for illustration. Some syntax examples are provided, although the authors do not generally focus on software in this book. Several datasets and computer syntax examples are posted on this title's companion Web site. The authors intend to keep the syntax examples current as new versions of the software programs emerge. This text is designed for both undergraduate and graduate courses in longitudinal data analysis. Instructors can take advantage of overheads and additional course materials available online for adopters. Applied statisticians in biomedicine and the social sciences can also use the book as a convenient reference.

Data Analysis for Continuous School Improvement

Data Analysis for Continuous School Improvement PDF Author: Victoria Bernhardt
Publisher: Routledge
ISBN: 1317930797
Category : Education
Languages : en
Pages : 304

Book Description
With clear and concrete examples from elementary and high schools, this book helps you effectively gather, analyze, and use data to improve student learning. It demonstrates how to make better decisions, identify root causes of problems, and communicate and report results.

CMT Level III 2016

CMT Level III 2016 PDF Author: Mkt Tech Assoc
Publisher: John Wiley & Sons
ISBN: 1119222710
Category : Business & Economics
Languages : en
Pages : 1040

Book Description
Everything you need to pass Level III of the CMT Program CMT Level III 2016: The Integration of Technical Analysis fully prepares you to demonstrate competency integrating basic concepts in Level I with practical applications in Level II, by using critical analysis to arrive at well-supported, ethical investing and trading recommendations. Covered topics include: asset relationships, portfolio management, behavioral finance, volatility, analysis, and ethics. The Level III exam emphasizes risk management concepts as well as classical methods of technical analysis. This cornerstone guidebook of the Chartered Market Technician® Program will provide every advantage to passing Level III.

Data Analytics Using Open-Source Tools

Data Analytics Using Open-Source Tools PDF Author: Jeffrey Strickland
Publisher: Lulu.com
ISBN: 1365213846
Category : Business & Economics
Languages : en
Pages : 706

Book Description
This book is about Data Analytics. In that respect, it is like others. What distinguishes it from the rest is the variety of open-source tool applications. This book incorporates the use of R Studio, Python, SAS Studio (University Edition), and KNIME. This book is also about manipulating Big Data. Apache Hadoop on Hortonworks Sandbox is introduced and we manage, move, handle, and transform data using Apache Hive, Apache Spark, MapReduce and TEZ, with terminal shell commands and Ambari. We show you how to set up a virtual machine in Microsoft Azure. We then use the data in later chapters for modeling. We cover Descriptive Modeling and Predictive. The content includes Support Vector Machines, Decision Tree learning, Random Forests, Naive and Empirical Bayes, Gradient Boosting, Cluster Modeling, Generalized Linear Models, Logistic Regression, and Artificial Neural Networks. Every chapter includes completely worked examples using one or more open-source tools."

Empowering Students as Self-Directed Learners of Qualitative Research Methods

Empowering Students as Self-Directed Learners of Qualitative Research Methods PDF Author:
Publisher: BRILL
ISBN: 9004419551
Category : Education
Languages : en
Pages : 240

Book Description
This 6th volume in the PRMD book series blends the thoughts of international qualitative research methods scholars with the diverse voices of their students to describe innovative, constructivist approaches that empower students as active, self-directed learners who learn to do qualitative research by doing qualitative research.

Introduction to Health Research Methods: A Practical Guide

Introduction to Health Research Methods: A Practical Guide PDF Author: Kathryn H. Jacobsen
Publisher: Jones & Bartlett Publishers
ISBN: 1284197565
Category : Medical
Languages : en
Pages : 380

Book Description
Designed to empower new investigators to conduct their own original research projects, the third edition of Introduction to Health Research Methods: A Practical Guide leads the reader step-by-step guide in performing quantitative and qualitative research in medicine, public health, and other clinical and population health fields. Organized in five sections, the text covers the entire research process from formulating a study question and selecting a study approach to collecting and analyzing data and then disseminating the findings. Chapters about methods for primary studies (collecting new data), secondary analyses (analyzing existing data), and tertiary studies (conducting literature reviews and meta-analyses) provide comprehensive coverage of the scope of health research. By breaking the research process down into a series of achievable steps, Introduction to Health Research Methods shows students and early career scholars how they can contribute to improving the health of individuals and communities through research. The Third Edition has been significantly updated to include: - Expanded coverage of qualitative research methods, including new chapters on qualitative study design, data collection, and data analysis. - Additional glossary terms that clarify key terminology for all stages of the research process and a diversity of study approaches. - Enhanced explanations of how to select and implement quantitative and qualitative research and analysis methodologies. - New and updated coverage of topics such as framing research questions, developing testable hypotheses, defining specific aims, responsibly conducting research, selecting study designs, minimizing bias, applying theoretical paradigms, ensuring rigor and reproducibility, conducting quality assessment, managing grants, and more.