Statistical Research Methods
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Statistical Research Methods
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Author : Roy Sabo
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-10-22
Statistical Research Methods written by Roy Sabo and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-22 with Medical categories.
This textbook will help graduate students in non-statistics disciplines, advanced undergraduate researchers, and research faculty in the health sciences to learn, use and communicate results from many commonly used statistical methods. The material covered, and the manner in which it is presented, describe the entire data analysis process from hypothesis generation to writing the results in a manuscript. Chapters cover, among other topics: one and two-sample proportions, multi-category data, one and two-sample means, analysis of variance, and regression. Throughout the text, the authors explain statistical procedures and concepts using a non-statistical language. This accessible approach is complete with real-world examples and sample write-ups for the Methods and Results sections of scholarly papers. The text also allows for the concurrent use of the programming language R, which is an open-source program created, maintained and updated by the statistical community. R is freely available and easy to download.
Quantitative And Statistical Research Methods
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Author : William E. Martin
language : en
Publisher: John Wiley & Sons
Release Date : 2012-07-09
Quantitative And Statistical Research Methods written by William E. Martin and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-09 with Social Science categories.
Quantitative and Statistical Research Methods This user-friendly textbook teaches students to understand and apply procedural steps in completing quantitative studies. It explains statistics while progressing through the steps of the hypothesis-testing process from hypothesis to results. The research problems used in the book reflect statistical applications related to interesting and important topics. In addition, the book provides a Research Analysis and Interpretation Guide to help students analyze research articles. Designed as a hands-on resource, each chapter covers a single research problem and offers directions for implementing the research method from start to finish. Readers will learn how to: Pinpoint research questions and hypotheses Identify, classify, and operationally define the study variables Choose appropriate research designs Conduct power analysis Select an appropriate statistic for the problem Use a data set Conduct data screening and analyses using SPSS Interpret the statistics Write the results related to the problem Quantitative and Statistical Research Methods allows students to immediately, independently, and successfully apply quantitative methods to their own research projects.
Statistical Research Methods In The Life Sciences
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Author : Pejaver Vishwamber Rao
language : en
Publisher: Duxbury Resource Center
Release Date : 1998
Statistical Research Methods In The Life Sciences written by Pejaver Vishwamber Rao and has been published by Duxbury Resource Center this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.
Appropriate for all courses in statistical methods for the agricultural, life, health, and environmental sciences, this book offers a practical and modern approach that minimizes computation and emphasizes conceptual understanding. Rao continually emphasizes issues and topics most relevant to modern day research in the life sciences. For example, point and interval estimation take priority over testing of statistical hypothesis and methods and guidelines for determination of sample size are indicated whenever possible. Statistical Research Methods in the Life Sciences also presents a self-contained and complete discussion of each experimental situation considered. In the two-sample setting, for example, in addition to presenting the procedures under the usual analysis of variance assumption, Rao also presents methods for checking the validity of the assumptions.
Research Methods And Statistics For Business
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Author : Robert N. Lussier
language : en
Publisher:
Release Date : 2011
Research Methods And Statistics For Business written by Robert N. Lussier and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Business categories.
Summary: "Research Methods and Statistics for Business ... includes 30 research designs and 30 bivariate and multivariate statistical tests, taking students through a step-by-step process to select the appropriate statistical method. The authorʼs approach effectively integrates research and statistics, beginning with research methodology and then guiding students through the process of conducting their own statistical research, from the initial process of selecting the research topic through the finished research paper."--Waveland website, viewed 10th June, 2011.
Research Methods Statistics And Applications
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Author : Kathrynn A. Adams
language : en
Publisher: SAGE Publications
Release Date : 2018-02-26
Research Methods Statistics And Applications written by Kathrynn A. Adams and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-26 with Social Science categories.
One of the greatest strengths of this text is the consistent integration of research methods and statistics so that students can better understand how the research process requires the combination of these elements. The end goal is to spark students′ interest in conducting research and to increase their ability to critically analyze it. In the new second edition of the text, Katherine Adams and Eva Lawrence have integrated additional information on online data collection and research methods, additional coverage of regression and ANOVA, and new examples to engage students.
Statistical Methods
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Author : Rudolf J. Freund
language : en
Publisher: Elsevier
Release Date : 2003-01-07
Statistical Methods written by Rudolf J. Freund and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-01-07 with Mathematics categories.
This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this book teaches intelligent data analysis and covers the principles of good data collection. * Provides a complete discussion of analysis of data including estimation, diagnostics, and remedial actions * Examples contain graphical illustration for ease of interpretation * Intended for use with almost any statistical software * Examples are worked to a logical conclusion, including interpretation of results * A complete Instructor's Manual is available to adopters
Research Design Statistical Analysis
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Author : Arnold D. Well
language : en
Publisher: Psychology Press
Release Date : 2003-01-30
Research Design Statistical Analysis written by Arnold D. Well and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-01-30 with Psychology categories.
"Free CD contains several real and artificial data sets used in the book in SPSS, SYSTAT, and ASCII formats"--Cover.
Introduction To Research Methods And Statistics In Psychology
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Author : Ron McQueen
language : en
Publisher: Pearson Higher Ed
Release Date : 2013-03-20
Introduction To Research Methods And Statistics In Psychology written by Ron McQueen and has been published by Pearson Higher Ed this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-20 with Psychology categories.
This second edition has been substantially revised and expanded to form a truly comprehensive, practical guide to research methods and statistical analysis. The text retains the successful student-centred approach, assuming no background knowledge. Logically and intuitively organised, the book introduces key terms and concepts, progressing through the process of selecting a study and analysing results right through to the final point of preparing a report. This edition has been extensively revised to offer more detailed coverage - including more depth on topics such as power, meta-analysis, ethics, the literature review, questionnaire design, small sample research, and graphing techniques. Coverage of qualitative methods has been expanded to include more on software tools and IPA. The book offers a range of support focused on essential concepts, practicalities, and a new feature to highlight important research from the scientific literature. The examples have been increased and updated to help clarify concepts and further support the reader in developing both a conceptual and practical understanding of research and analysis. The book relates to the most recent version of PASW statistics (previously SPSS).
Research Design And Statistical Analysis
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Author : Jerome L. Myers
language : en
Publisher: Routledge
Release Date : 2013-01-11
Research Design And Statistical Analysis written by Jerome L. Myers and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-11 with Psychology categories.
Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data. The book’s goal is to provide a strong conceptual foundation to enable readers to generalize concepts to new research situations. Emphasis is placed on the underlying logic and assumptions of the analysis and what it tells the researcher, the limitations of the analysis, and the consequences of violating assumptions. Sampling, design efficiency, and statistical models are emphasized throughout. As per APA recommendations, emphasis is also placed on data exploration, effect size measures, confidence intervals, and using power analyses to determine sample size. "Real-world" data sets are used to illustrate data exploration, analysis, and interpretation. The book offers a rare blend of the underlying statistical assumptions, the consequences of their violations, and practical advice on dealing with them. Changes in the New Edition: Each section of the book concludes with a chapter that provides an integrated example of how to apply the concepts and procedures covered in the chapters of the section. In addition, the advantages and disadvantages of alternative designs are discussed. A new chapter (1) reviews the major steps in planning and executing a study, and the implications of those decisions for subsequent analyses and interpretations. A new chapter (13) compares experimental designs to reinforce the connection between design and analysis and to help readers achieve the most efficient research study. A new chapter (27) on common errors in data analysis and interpretation. Increased emphasis on power analyses to determine sample size using the G*Power 3 program. Many new data sets and problems. More examples of the use of SPSS (PASW) Version 17, although the analyses exemplified are readily carried out by any of the major statistical software packages. A companion website with the data used in the text and the exercises in SPSS and Excel formats; SPSS syntax files for performing analyses; extra material on logistic and multiple regression; technical notes that develop some of the formulas; and a solutions manual and the text figures and tables for instructors only. Part 1 reviews research planning, data exploration, and basic concepts in statistics including sampling, hypothesis testing, measures of effect size, estimators, and confidence intervals. Part 2 presents between-subject designs. The statistical models underlying the analysis of variance for these designs are emphasized, along with the role of expected mean squares in estimating effects of variables, the interpretation of nteractions, and procedures for testing contrasts and controlling error rates. Part 3 focuses on repeated-measures designs and considers the advantages and disadvantages of different mixed designs. Part 4 presents detailed coverage of correlation and bivariate and multiple regression with emphasis on interpretation and common errors, and discusses the usefulness and limitations of these procedures as tools for prediction and for developing theory. This is one of the few books with coverage sufficient for a 2-semester course sequence in experimental design and statistics as taught in psychology, education, and other behavioral, social, and health sciences. Incorporating the analyses of both experimental and observational data provides continuity of concepts and notation. Prerequisites include courses on basic research methods and statistics. The book is also an excellent resource for practicing researchers.
Business Research Methods And Statistics Using Spss
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Author : Robert B. Burns
language : en
Publisher: SAGE
Release Date : 2008-12-04
Business Research Methods And Statistics Using Spss written by Robert B. Burns and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-04 with Business & Economics categories.
Business Research Methods and Statistics Using SPSS provides a simple, easy to follow, and non-mathematical approach to understanding and using quantitative methods and statistics. It is solidly grounded in the context of business and management research, enabling students to appreciate the practical applications of the techniques and procedures explained. The book is comprehensive in its coverage, including discussion of the business context, statistical analysis of data, survey methods, and reporting and presenting research. A companion website also contains four extra chapters for the more advanced student, along with PowerPoint slides for lecturers, and additional questions and exercises.