Statistical Methods for Practice and Research

A Guide to Data Analysis Using SPSS

Author: Ajai S Gaur,Sanjaya S Gaur

Publisher: SAGE Publications India

ISBN: 8132102495

Category: Business & Economics

Page: 172

View: 2489

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There is a growing trend these days to use statistical methods to comprehend and explain various situations and phenomena in different disciplines. Managers, social scientists and practicing researchers are increasingly collecting information and applying scientific methods to analyze the data. The ability to use statistical methods and tools becomes a crucial skill for the success of such efforts. This book is designed to assist students, managers, academics and researchers in solving statistical problems using SPSS and to help them understand how they can apply various statistical tools for their own research problems. SPSS is a very powerful and user friendly computer package for data analyses. It can take data from most other file types and generate tables, charts, plots, and descriptive statistics, and conduct complex statistical analyses. After providing a brief overview of SPSS and basic statistical concepts, the book covers: - Descriptive statistics - t-tests, chi-square tests and ANOVA - Correlation analysis - Multiple and logistics regression - Factor analysis and testing scale reliability - Advanced data handling Illustrated with simple, practical problems, and screen shots, this book outlines the steps for solving statistical problems using SPSS. Although the illustrations are based on version 16.0 of SPSS, users of the earlier versions will find the book equally useful and relevant. Written in a reader-friendly, non-technical style, this book will serve as a companion volume to any statistics textbook.
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Statistical Methods for Organizational Research

Theory and Practice

Author: Chris Dewberry

Publisher: Psychology Press

ISBN: 9780415334242

Category: Business & Economics

Page: 340

View: 7533

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'Statistical Methods for Organizational Research' provides a theoretical and practical introduction to the subject for students, researchers and practitioners involved in quantitative research.
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Statistics for Nursing Research

A Workbook for Evidence-Based Practice

Author: Susan K. Grove,Daisha J. Cipher

Publisher: Elsevier Health Sciences

ISBN: 0323376614

Category: Medical

Page: 480

View: 6442

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Understand the statistical methods used in nursing research articles! Statistics for Nursing Research: A Workbook for Evidence-Based Practice, 2nd Edition helps you interpret and analyze the statistical data found in health sciences research articles. Practical exercises show how to critically appraise sampling and measurement techniques, evaluate results, and conduct a power analysis for a study. Written by nursing statistics experts Susan Grove and Daisha Cipher, this is the only statistics workbook for nursing to include research examples from both nursing and medical literature for a complete perspective on health sciences research. Comprehensive coverage includes exercises that address all common techniques of sampling, measurement, and statistical analysis that you are likely to see in nursing and medical literature. A literature-based approach incorporates a relevant research article into each exercise/chapter, with key excerpts. 45 sampling, measurement, and statistical analysis exercises provide a practical review of both basic and advanced techniques, and prepare you to apply statistics to nursing practice. Consistent format for all chapters facilitates quick review and easier learning, covering the statistical technique in review, results from a research article, and study questions. Study questions in each chapter help you apply concepts to clinical practice. Questions to Be Graded in each chapter may be completed and submitted online, to assess your mastery of key statistical techniques. A concise index makes it easy to locate information quickly. NEW examples show the latest, high-quality research studies. NEW! Expanded coverage helps undergraduate students apply the information learned in statistics and research courses, serves as a refresher/review for graduate students, and also helps in critically appraising studies to determine whether their findings may be used in evidence-based practice. NEW! Understanding Statistical Methods section includes exercises to help in understanding the levels of measurement (nominal, ordinal, interval, and ratio) and in appraising the samples and measurement methods in studies. NEW! Conducting and Interpreting Statistical Analyses section includes exercises to help in understanding the power analysis and how to conduct a power analysis for a study, showing how to determine the most appropriate statistical method(s) for analyzing data for a class project, for a clinical agency project, or for an actual research study. NEW! Answers to study questions are located in the back of the book.
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Statistical Methods for Quality Improvement

Author: Thomas P. Ryan

Publisher: John Wiley & Sons

ISBN: 9781118058107

Category: Technology & Engineering

Page: 672

View: 2802

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Praise for the Second Edition "As a comprehensive statistics reference book for quality improvement, it certainly is one of the best books available." —Technometrics This new edition continues to provide the most current, proven statistical methods for quality control and quality improvement The use of quantitative methods offers numerous benefits in the fields of industry and business, both through identifying existing trouble spots and alerting management and technical personnel to potential problems. Statistical Methods for Quality Improvement, Third Edition guides readers through a broad range of tools and techniques that make it possible to quickly identify and resolve both current and potential trouble spots within almost any manufacturing or nonmanufacturing process. The book provides detailed coverage of the application of control charts, while also exploring critical topics such as regression, design of experiments, and Taguchi methods. In this new edition, the author continues to explain how to combine the many statistical methods explored in the book in order to optimize quality control and improvement. The book has been thoroughly revised and updated to reflect the latest research and practices in statistical methods and quality control, and new features include: Updated coverage of control charts, with newly added tools The latest research on the monitoring of linear profiles and other types of profiles Sections on generalized likelihood ratio charts and the effects of parameter estimation on the properties of CUSUM and EWMA procedures New discussions on design of experiments that include conditional effects and fraction of design space plots New material on Lean Six Sigma and Six Sigma programs and training Incorporating the latest software applications, the author has added coverage on how to use Minitab software to obtain probability limits for attribute charts. new exercises have been added throughout the book, allowing readers to put the latest statistical methods into practice. Updated references are also provided, shedding light on the current literature and providing resources for further study of the topic. Statistical Methods for Quality Improvement, Third Edition is an excellent book for courses on quality control and design of experiments at the upper-undergraduate and graduate levels. the book also serves as a valuable reference for practicing statisticians, engineers, and physical scientists interested in statistical quality improvement.
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Research Methods for Pharmaceutical Practice and Policy

Author: Rajender R. Aparasu

Publisher: Pharmaceutical Press

ISBN: 0853698805

Category: Medical

Page: 310

View: 1170

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This text provides the theory and practice for conducting pharmaceutical policy research. It covers all aspects of scientific research from conceptualising to statistical analysis. It also provides scientific basis and a good understanding of the principles and practice of conducting pharmaceutical policy research.--[Source inconnue].
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Statistical Methods for Food Science

Introductory Procedures for the Food Practitioner

Author: John A. Bower

Publisher: John Wiley & Sons

ISBN: 1118541626

Category: Technology & Engineering

Page: 336

View: 4455

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The recording and analysis of food data are becoming increasingly sophisticated. Consequently, the food scientist inindustry or at study faces the task of using and understandingstatistical methods. Statistics is often viewed as a difficultsubject and is often avoided because of its complexity and a lackof specific application to the requirements of food science. Thissituation is changing – there is now much material onmultivariate applications for the more advanced reader, but a caseexists for a univariate approach aimed at thenon-statistician. This second edition of Statistical Methods for Food Scienceprovides a source text on accessible statistical procedures for thefood scientist, and is aimed at professionals and students in foodlaboratories where analytical, instrumental and sensory data aregathered and require some form of summary and analysis beforeinterpretation. It is suitable for the food analyst, the sensoryscientist and the product developer, and others who work infood-related disciplines involving consumer survey investigationswill also find many sections of use. There is an emphasis on a‘hands-on’ approach, and worked examples using computersoftware packages and the minimum of mathematical formulae areincluded. The book is based on the experience and practice of ascientist engaged for many years in research and teaching ofanalytical and sensory food science at undergraduate andpost-graduate level. This revised and updated second edition is accompanied by a newcompanion website giving the reader access to the datasets andExcel spreadsheets featured in the book. Check it out now byvisiting ahref="http://www.wiley.com/go/bower/statistical"www.wiley.com/go/bower/statistical/a orby scanning the QR code below.
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Statistical Methods and Calculation Skills

Author: Isabel Willemse

Publisher: Juta and Company Ltd

ISBN: 9780702177538

Category: Commercial statistics

Page: 272

View: 2017

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This third edition aims to equip students with the skills to apply statistical analysis and quantitative techniques in research and the working environment where their knowledge can lead to effective decision-making. The book effectively combines theory and practice in providing: A theoretical framework for statistical problem-solving; A practical step-by-step approach to applying methods and calculations; A complete list of outcomes in each unit; Worked examples with detailed explanations; Practice in the form of guided activities and a range of self-test questions. The contents include the collection and presentation of data, descriptive measures, index numbers, regression and correlation analysis, time series, probability and probability distributions, statistical estimation and hypothesis testing. Calculation skills are revised in Part 2, a section that covers technology, elementary calculations, percentages and ratios, equations, graph construction and interest calculations. This edition includes examples and activities which cover not only the business field, but also food and biotechnology, engineering, medicine and environmental studies.
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Research and Statistical Methods in Communication Sciences and Disorders

Author: David L. Maxwell,Eiki Satake

Publisher: Singular Publishing Group

ISBN: 9781401815677

Category: Language Arts & Disciplines

Page: 561

View: 3797

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This engaging new book provides comprehensive coverage of research methods as well as a foundation in statistical analysis vital for individuals in the communication sciences and disorders field. While most speech-language pathologists and audiologists pursue clinical practice rather than research careers, it is important to understand the scientific base that their clinical work is built upon. Successful evidence-based clinical practice is rooted in this understanding. Research and Statistical Methods in Communication Sciences and Disorders covers the principles of research design, data analysis, and presentation of findings necessary for individuals performing research as well as consumers of scientific literature. Filled with meaningful examples, written in readable language, and pertinent to both speech-language pathology and audiology, this resource provides the essential knowledge of scientific reasoning and methods for scientific inquiry necessary to perform and understand research.
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Research in Practice

Applied Methods for the Social Sciences

Author: Martin Terre Blanche,Kevin Durrheim,Desmond Painter

Publisher: Juta and Company Ltd

ISBN: 9781919713694

Category: Social Science

Page: 594

View: 3082

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A major shift in research methodology from technical to more contextual and pragmatic approaches, this thorough resource incorporates new trends while also providing comprehensive coverage of the full range of established research approaches and techniques, skillfully combining epistemology, methodology, statistics, and application in a volume that is both sophisticated and practical. Placing a greater emphasis on interdisciplinary and applied research skills, this guide encourages the concurrent use of qualitative and quantitative methods and explores such complex topics as ethical issues in social science research; inferential statistical methods; and Marxist, feminist, and black scholarship perspectives.
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Advances in Statistical Methods for the Health Sciences

Applications to Cancer and AIDS Studies, Genome Sequence Analysis, and Survival Analysis

Author: Jean-Louis Auget,N. Balakrishnan,Mounir Mesbah,Geert Molenberghs

Publisher: Springer Science & Business Media

ISBN: 9780817645427

Category: Mathematics

Page: 540

View: 2390

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Statistical methods have become an increasingly important and integral part of research in the health sciences. Many sophisticated methodologies have been developed for specific applications and problems. This self-contained comprehensive volume covers a wide range of topics pertaining to new statistical methods in the health sciences, including epidemiology, pharmacovigilance, quality of life, survival analysis, and genomics. The book will serve the health science community as well as practitioners, researchers, and graduate students in applied probability, statistics, and biostatistics.
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