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: 4703

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.

Statistical Methods for Organizational Research

Theory and Practice

Author: Chris Dewberry

Publisher: Psychology Press

ISBN: 041533425X

Category: Business & Economics

Page: 340

View: 9337

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

Statistical Methods in Practice

For Scientists and Technologists

Author: Richard Boddy,Gordon Smith

Publisher: John Wiley & Sons

ISBN: 0470746645

Category: Mathematics

Page: 236

View: 4961

"This book presents a broad range of methods which form the core of a statistical toolkit required by scientists and technologists, including descriptive statistics (e.g. mean, median, standard deviation), inference (confidence intervals), significancetesting for one mean, two means, two standard deviations, distributions (Normal, Binomial, Poisson), exploratory data analysis (box plots), nonparametric methods, regression and correlation, cusum charts for plotting data over time and detecting changesAhands-on, practical approach to statistics for those with little background in the subject Introduces a broad range of methods which form the core of a statistical toolkit required by scientists and technologists, presented from descriptive statisticsto nonparametric methods Includes a supporting website, providing software to aid tutorials Based on practical courses given to scientists and technologists of all levels Combines realistic case studies and examples with a practical approach to statistical analysis"--Provided by publisher.

Statistical Methods for Quality of Life Studies

Design, Measurements and Analysis

Author: Mounir Mesbah,Bernard F. Cole,Mei-Ling Ting Lee

Publisher: Springer Science & Business Media

ISBN: 9781402001420

Category: Mathematics

Page: 364

View: 9376

The volume presents a broad spectrum of papers which illustrates a range of current research related to the theory, methods and applications of health related quality of life (HRQoL) as well as the interdisciplinary nature of this work.

Munro's Statistical Methods for Health Care Research

Statistics, Probability and statistics

Author: CTI Reviews

Publisher: Cram101 Textbook Reviews

ISBN: 1497004195

Category: Education

Page: 37

View: 5758

Facts101 is your complete guide to Munro's Statistical Methods for Health Care Research. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.

Statistical Methods for Quality Improvement

Author: Thomas P. Ryan

Publisher: John Wiley & Sons

ISBN: 9781118058107

Category: Technology & Engineering

Page: 672

View: 1816

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.

Statistical Methods and Calculation Skills

Author: Isabel Willemse

Publisher: Juta and Company Ltd

ISBN: 9780702177538

Category: Commercial statistics

Page: 272

View: 2748

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.

Using SPSS for Social Statistics and Research Methods

Author: William E. Wagner III

Publisher: Pine Forge Press

ISBN: 1412973333

Category: Social Science

Page: 115

View: 2376

Using SPSS for Social Statistics and Research Methods is a guide for those interested in using SPSS software to aid in statistical data analysis. It can be used as a companion to a statistics or research methods course, or as a stand-alone guide. It is a useful guide for students working independently on a research proposal, project, or paper. Also, it is an excellent resource for instructors to use with some or all of the lab components of their course. All of the images and directions used in this book are from SPSS version 17.0.

Advanced and Multivariate Statistical Methods for Social Science Research

Author: Soleman H. Abu-Bader

Publisher: N.A

ISBN: 9780190616397


Page: 350

View: 9318

Unlike other advanced statistical texts, this book combines the theory and practice behind a number of statistical techniques which students of the social sciences need to evaluate, analyze, and test their research hypotheses.Each chapter discusses the purpose, rationale, and assumptions for using each statistical test, rather than focusing on the memorization of formulas. The tests are further elucidated throughout the text by real examples of analysis. Of particular value to students is the book's detailed discussionof how to utilize SPSS to run each test, read its output, interpret, and write the results.Advanced and Multivariate Statistical Methods for Social Science Research is an indispensable resource for students of disciplines as varied as social work, nursing, public health, psychology, and education.Electronic database files are available for student and instructor use.

Statistical Methods for Researchers Made Very Simple

Author: Ronald R. Gauch

Publisher: University Press of Amer

ISBN: 9780761817017

Category: Mathematics

Page: 534

View: 6733

Presents statistical principles in a simple fashion, and develops an awareness of the abuses and misuses of statistics, combining coverage of research and statistical practices. Early chapters centered on statistics are aimed at establishing a foundation for later chapters which explore inferential statistical procedures. Later chapters deal with non-parametric, regression, and qualitative methods as well as research design and ethical issues. Emphasis is on interpretation rather than on equations. Includes an introduction to Excel. The author is affiliated with Marist College. Annotation copyrighted by Book News, Inc., Portland, OR

Statistics for Research

With a Guide to SPSS

Author: George Argyrous

Publisher: SAGE

ISBN: 9781446245163

Category: Reference

Page: 608

View: 9757

This fully updated edition of Statistics for Research explains statistical concepts in a straight-forward and accessible way using practical examples from a variety of disciplines. If you're looking for an easy-to-read, comprehensive introduction to statistics with a guide to SPSS, this is the book for you! The new edition features: - Clear explanations of all the main techniques of statistical analysis - A brand new student-friendly, easy-to-navigate design - Even more step-by-step screenshots of SPSS commands and outputs - An extensive glossary of terms, ideal for those new to statistics - End of chapter exercises to help you put your learning into practice - A new, fully updated companion website ( with comprehensive student and lecturer resources including additional, discipline specific examples and online readings and WebCT/Blackboard quizzes. This is the ideal textbook for any course in statistical methods across the health and social sciences and a perfect starter book for students, researchers and professionals alike.

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: 9835

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.

Nondetects and Data Analysis

Statistics for Censored Environmental Data

Author: Dennis R. Helsel,USGS

Publisher: Wiley-Interscience


Category: Mathematics

Page: 250

View: 4117

STATISTICS IN PRACTICE Statistical methods for interpreting and analyzing censored environmental data Nondetects And Data Analysis: Statistics for Censored Environmental Data provides solutions for environmental scientists and professionals who need to interpret and analyze data that fall below the laboratory detection limit. Adapting survival analysis methods that have been successfully used in medical and industrial research, the author demonstrates, for the first time, their practical applications for studies of trace chemicals in air, water, soils, and biota. Readers quickly become proficient in these methods through the use of real-world examples that are solved using MINITAB® Release 14, a popular statistical software package, as well as other commonly used software packages. Everything needed to master these innovative statistical methods is provided, including: Accompanying Web site featuring answers to book exercises and datasets, as well as MINITAB® macros to perform methods, which are not available in the commercial version Methods for data with multiple detection limits Solutions for research studies in which all data are below detection limits Techniques for constructing confidence, prediction, and tolerance intervals for data with nond-tects Methods for data with multiple detection limits Chapters are organized by objective, such as computing intervals, comparing groups, and correlations, which enables readers to more easily apply the text to their particular research and goals. Extensive references to the literature for more in-depth research are provided; however, the text itself avoids complex math and calculus making it accessible to anyone in the environmental sciences. Environmental scientists and professionals will find the hands-on guidance and practical examples invaluable.

Propensity Score Analysis

Statistical Methods and Applications

Author: Shenyang Guo,Mark W. Fraser

Publisher: SAGE Publications

ISBN: 1483322521

Category: Social Science

Page: 448

View: 3687

Fully updated to reflect the most recent changes in the field, the Second Edition of Propensity Score Analysis provides an accessible, systematic review of the origins, history, and statistical foundations of propensity score analysis, illustrating how it can be used for solving evaluation and causal-inference problems. With a strong focus on practical applications, the authors explore various strategies for employing PSA, discuss the use of PSA with alternative types of data, and delineate the limitations of PSA under a variety of constraints. Unlike existing textbooks on program evaluation and causal inference, this book delves into statistical concepts, formulas, and models within the context of a robust and engaging focus on application.

Using statistical methods for water quality management

issues, problems and solutions

Author: Graham B. McBride

Publisher: John Wiley and Sons


Category: Business & Economics

Page: 313

View: 9342

STATISTICS IN PRACTICE A practical exploration of alternative approaches to analyzing water-related environmental issues Written by an experienced environmentalist and recognized expert in the field, this text is designed to help water resource managers and scientists to formulate, implement, and interpret more effective methods of water quality management. After presenting the basic foundation for using statistical methods in water resource management, including the use of appropriate hypothesis test procedures and some rapid calculation procedures, the author offers a range of practical problems and solutions on environmental topics that often arise, but are not generally covered. These include: * Formulating water quality standards * Determining compliance with standards * MPNs and microbiology * Water-related, human health risk modeling * Trends, impacts, concordance, and detection limits In order to promote awareness of alternative approaches to analyzing data, both frequentist and Bayesian, statistical methods are contrasted in terms of their applicability to various environmental issues. Each chapter ends with a number of set problems for which full answers are provided. The book also encourages discussion between technical staff and management before embarking on statistical studies.

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: 2295

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.

Research and Statistical Methods in Communication Disorders

Author: David L. Maxwell,Eiki Satake

Publisher: Lippincott Williams & Wilkins

ISBN: 9780683056556

Category: Medical

Page: 333

View: 698

A text for graduate students preparing for clinical practice and research in communication disorders, assuming no background in statistics and minimal mathematical sophistication. Covers the philosophical and logical foundations of scientific reasoning, research methods, and core statistical concepts, and provides a simplified schema for classifying nonexperimental and experimental research designs. Demonstrates step-by-step calculations of commonly used tests, discusses criteria for funding research, and offers outlines for reading and evaluating research articles and writing proposals. Includes chapter review tests and answers and a glossary. Annotation copyrighted by Book News, Inc., Portland, OR

Statistics for Nursing and Allied Health

Author: Stacey Beth Plichta,Laurel S. Garzon

Publisher: Lippincott Williams & Wilkins

ISBN: 9780781754590

Category: Medical

Page: 420

View: 8407

This introductory textbook explores the role of research in health care and focuses in particular on the importance of organizing and describing research data using basic statistics. The goal of the text is to teach students how to analyze data and present the results of evidence-based data analysis. Based on the commonly-used SPSS software, a comprehensive range of statistical techniques—both parametric and non-parametric—are presented and explained. Examples are given from nursing, health administration, and health professions, followed by an opportunity for students to immediately practice the technique.

Statistical Methods, Experimental Design, and Scientific Inference

Author: R. A. Fisher

Publisher: OUP Oxford

ISBN: 9780198522294

Category: Mathematics

Page: 832

View: 2664

The writings of R.A. Fisher have proved to be as relevant today as when they were written. This book brings together as a single volume three of his most influential textbooks: Statistical Methods for Research Workers, Statistical Methods and Scientific Inference, and The Design of Experiments. In a new Foreword, written for this edition, Professor Frank Yates discusses some of the key issues tackled in the textbooks, and how they relate to modern statistical practice.