Download analysis of variance and functional measurement a practical guide in pdf or read analysis of variance and functional measurement a practical guide in pdf online books in PDF, EPUB and Mobi Format. Click Download or Read Online button to get analysis of variance and functional measurement a practical guide in pdf book now. This site is like a library, Use search box in the widget to get ebook that you want.



Analysis Of Variance And Functional Measurement

Author: David J. Weiss
Publisher: Oxford University Press
ISBN: 0195183150
Size: 21.49 MB
Format: PDF, Docs
View: 7253
Download and Read
Clear and straightforward guide to analysis of variance, the backbone of experimental research. Demonstrates how to interpret statistical results and translate them into prose that will clearly tell the audience what the data is saying. End-of-chapter practice problems with suggested answers.

Quantitative Research Methods For Communication

Author:
Publisher: Oxford University Press, USA
ISBN:
Size: 70.86 MB
Format: PDF, ePub
View: 1624
Download and Read
Conducting research can be one of the most fascinating--and intimidating--tasks for students and scholars. A relevant and accessible guide to quantitative research, Quantitative Research Methods for Communication: A Hands-On Approach offers an innovative and insightful look at this complex subject. Drawing on their extensive research and teaching experience in the field of communication, authors Jason S. Wrench, Candice Thomas-Maddox, Virginia Peck Richmond, and James C. McCroskey have compiled their diverse, acclaimed work into one comprehensive volume. In clear, straightforward language, the authors encourage students to take an active, hands-on role in the learning process, giving them the tools they need to locate, conduct, collect, and present their research. Students are not only introduced to new skills, but they also have the opportunity to immediately apply these skills in research scenarios. Beginning with a brief history of social science research, the text incorporates the following resources: * An introduction to the fundamentals of communication research, from library skills to basic mathematical concepts * An examination of the three most common techniques used in communication research: survey, content analysis, and experiment * A sophisticated analysis of sampling and hypothesis testing * A step-by-step introduction to statistical tools * Guided research assignments based on actual data-driven research questions * In-depth analyses of articles that feature statistical tests * A guide to presenting research findings, from delivering research papers at conferences to submitting original research for publication The text integrates rich pedagogical features throughout, including chapter objectives, case studies, data sheets, and lists of key terms. The accompanying CD-ROM offers many helpful tools, including ten articles originally published by the Eastern Communication Association and a Student Workbook. An invaluable resource for gathering and processing information in the twenty-first century, Quantitative Research Methods for Communication equips students with the skills--and confidence--to produce their own cutting-edge research.

Practical Guide To Image Analysis

Author: ASM International
Publisher: ASM International
ISBN: 1615032371
Size: 15.37 MB
Format: PDF, Docs
View: 3087
Download and Read
Nine international specialists contribute information about the use of image analysis procedures to evaluate microstructural features. Coverage includes an historical overview of how quantitative image analysis developed; the evolution of current television computer-based analysis systems; the scien

Comparing Clinical Measurement Methods

Author: Bendix Carstensen
Publisher: John Wiley & Sons
ISBN: 1119957540
Size: 11.51 MB
Format: PDF, Mobi
View: 6835
Download and Read
This book provides a practical guide to analysis of simple and complex method comparison data, using Stata, SAS and R. It takes the classical Limits of Agreement as a starting point, and presents it in a proper statistical framework. The model serves as a reference for reporting sources of variation and for providing conversion equations and plots between methods for practical use, including prediction uncertainty. Presents a modeling framework for analysis of data and reporting of results from comparing measurements from different clinical centers and/or different methods. Provides the practical tools for analyzing method comparison studies along with guidance on what to report and how to plan comparison studies and advice on appropriate software. Illustrated throughout with computer examples in R. Supported by a supplementary website hosting an R-package that performs the major part of the analyses needed in the area. Examples in SAS and Stata for the most common situations are also provided. Written by an acknowledged expert on the subject, with a long standing experience as a biostatistician in a clinical environment and a track record of delivering training on the subject. Biostatisticians, clinicians, medical researchers and practitioners involved in research and analysis of measurement methods and laboratory investigations will benefit from this book. Students of statistics, biostatistics, and the chemical sciences will also find this book useful.

Health Measurement Scales

Author: David L. Streiner
Publisher: OUP Oxford
ISBN: 0191508330
Size: 79.69 MB
Format: PDF, ePub, Mobi
View: 247
Download and Read
Clinicians and those in health sciences are frequently called upon to measure subjective states such as attitudes, feelings, quality of life, educational achievement and aptitude, and learning style in their patients. This fifth edition of Health Measurement Scales enables these groups to both develop scales to measure non-tangible health outcomes, and better evaluate and differentiate between existing tools. Health Measurement Scales is the ultimate guide to developing and validating measurement scales that are to be used in the health sciences. The book covers how the individual items are developed; various biases that can affect responses (e.g. social desirability, yea-saying, framing); various response options; how to select the best items in the set; how to combine them into a scale; and finally how to determine the reliability and validity of the scale. It concludes with a discussion of ethical issues that may be encountered, and guidelines for reporting the results of the scale development process. Appendices include a comprehensive guide to finding existing scales, and a brief introduction to exploratory and confirmatory factor analysis, making this book a must-read for any practitioner dealing with this kind of data.

Practical Handbook Of Material Flow Analysis

Author: Paul H. Brunner
Publisher: CRC Press
ISBN: 9780203507209
Size: 56.48 MB
Format: PDF, Kindle
View: 864
Download and Read
The first-ever book on this subject establishes a rigid, transparent and useful methodology for investigating the material metabolism of anthropogenic systems. Using Material Flow Analysis (MFA), the main sources, flows, stocks, and emissions of man-made and natural materials can be determined. By demonstrating the application of MFA, this book reveals how resources can be conserved and the environment protected within complex systems. The fourteen case studies presented exemplify the potential for MFA to contribute to sustainable materials management. Exercises throughout the book deepen comprehension and expertise. The authors have had success in applying MFA to various fields, and now promote the use of MFA so that future engineers and planners have a common method for solving resource-oriented problems.

Longitudinal Data Analysis

Author: Jason Newsom
Publisher: Routledge
ISBN: 1136705465
Size: 33.25 MB
Format: PDF, Mobi
View: 6459
Download and Read
This book provides accessible treatment to state-of-the-art approaches to analyzing longitudinal studies. Comprehensive coverage of the most popular analysis tools allows readers to pick and choose the techniques that best fit their research. The analyses are illustrated with examples from major longitudinal data sets including practical information about their content and design. Illustrations from popular software packages offer tips on how to interpret the results. Each chapter features suggested readings for additional study and a list of articles that further illustrate how to implement the analysis and report the results. Syntax examples for several software packages for each of the chapter examples are provided at www.psypress.com/longitudinal-data-analysis. Although many of the examples address health or social science questions related to aging, readers from other disciplines will find the analyses relevant to their work. In addition to demonstrating statistical analysis of longitudinal data, the book shows how to interpret and analyze the results within the context of the research design. The methods covered in this book are applicable to a range of applied problems including short- to long-term longitudinal studies using a range of sample sizes. The book provides non-technical, practical introductions to the concepts and issues relevant to longitudinal analysis. Topics include use of publicly available data sets, weighting and adjusting for complex sampling designs with longitudinal studies, missing data and attrition, measurement issues related to longitudinal research, the use of ANOVA and regression for average change over time, mediation analysis, growth curve models, basic and advanced structural equation models, and survival analysis. An ideal supplement for graduate level courses on data analysis and/or longitudinal modeling taught in psychology, gerontology, public health, human development, family studies, medicine, sociology, social work, and other behavioral, social, and health sciences, this multidisciplinary book will also appeal to researchers in these fields.

Pharmaceutical Statistics Using Sas

Author: Alex Dmitrienko
Publisher: SAS Institute
ISBN: 1599943573
Size: 73.49 MB
Format: PDF, ePub
View: 1687
Download and Read
Introduces a range of data analysis problems encountered in drug development and illustrates them using case studies from actual pre-clinical experiments and clinical studies. Includes a discussion of methodological issues, practical advice from subject matter experts, and review of relevant regulatory guidelines.