Reading Statistics and Research

Author: Schuyler W. Huck

Publisher: Addison Wesley Longman

ISBN: 9780132178631

Category: Education

Page: 566

View: 5561

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Employing a non-intimidating writing style that emphasizes concepts rather than formulas, this uniquely welcoming text shows consumers of research how to read, understand, and critically evaluate the statistical information and research results contained in technical research reports. Some key topics covered in this thoroughly revised text include: descriptive statistics, correlation, reliability and validity, estimation, h hypothesis testing, t-tests, ANOVA, ANCOVA, regression, multivariate analysis, factor analysis, and structural equation modeling (SEM). A number of mini-topics related to research and statistics are also discussed, such as the geometric mean, Tau-b correlation, Guttman split-half reliability, sensitivity, specificity, and the Sobel test. Additionally, the sixth edition also includes over 488 new excerpts (tables, figures, passages of text) taken from current research reports. Written specifically for students in non-thesis Master's Programs but also perfectly suitable for students in upper-level undergraduate statistics courses, doctoral students who must conduct dissertation research, and independent researchers who want a better handle on how to decipher and critique statistically-based research reports. Thoroughly updated and revised to reflect advances in the field, Reading Statistics and Research, Sixth Edition gives consumers of research exactly what they are seeking in this caliber of text, that being the knowledge necessary to better understand research and statistics, and the confidence and ability to ultimately decipher and critique research reports on their own.

Reading Statistics and Research

Author: Schuyler W. Huck

Publisher: Pearson Higher Ed

ISBN: 0133000745

Category: Education

Page: 592

View: 7925

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This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Employing a non-intimidating writing style that emphasizes concepts rather than formulas, this uniquely welcoming text shows consumers of research how to read, understand, and critically evaluate the statistical information and research results contained in technical research reports. Some key topics covered in this thoroughly revised text include: descriptive statistics, correlation, reliability and validity, estimation, h hypothesis testing, t-tests, ANOVA, ANCOVA, regression, multivariate analysis, factor analysis, and structural equation modeling (SEM). A number of mini-topics related to research and statistics are also discussed, such as the geometric mean, Tau-b correlation, Guttman split-half reliability, sensitivity, specificity, and the Sobel test. Additionally, the sixth edition also includes over 488 new excerpts (tables, figures, passages of text) taken from current research reports. Written specifically for students in non-thesis Master’s Programs but also perfectly suitable for students in upper-level undergraduate statistics courses, doctoral students who must conduct dissertation research, and independent researchers who want a better handle on how to decipher and critique statistically-based research reports. Thoroughly updated and revised to reflect advances in the field, Reading Statistics and Research, Sixth Edition gives consumers of research exactly what they are seeking in this caliber of text, that being the knowledge necessary to better understand research and statistics, and the confidence and ability to ultimately decipher and critique research reports on their own.

Statistical Misconceptions

Author: Schuyler W. Huck

Publisher: Routledge

ISBN: 0805859020

Category: Mathematics

Page: 288

View: 5262

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Brief and inexpensive, this engaging book helps readers identify and then discard 52 misconceptions about data and statistical summaries. The focus is on major concepts contained in typical undergraduate and graduate courses in statistics, research methods, or quantitative analysis. Fun interactive Internet exercises that further promote undoing the misconceptions are found on the book's website. The author's accessible discussion of each misconception has five parts: The Misconception - a brief description of the misunderstanding Evidence that the Misconception Exists – examples and claimed prevalence Why the Misconception is Dangerous – consequence of having the misunderstanding Undoing the Misconception - how to think correctly about the concept Internet Assignment - an interactive activity to help readers gain a firm grasp of the statistical concept and overcome the misconception. The book's statistical misconceptions are grouped into 12 chapters that match the topics typically taught in introductory/intermediate courses. However, each of the 52 discussions is self-contained, thus allowing the misconceptions to be covered in any order without confusing the reader. Organized and presented in this manner, the book is an ideal supplement for any standard textbook. Statistical Misconceptions is appropriate for courses taught in a variety of disciplines including psychology, medicine, education, nursing, business, and the social sciences. The book also will benefit independent researchers interested in undoing their statistical misconceptions.

Reading Statistics and Research: Pearson New International Edition

Author: Schuyler W. Huck

Publisher: Pearson Higher Ed

ISBN: 1292053674

Category: Social Science

Page: 512

View: 2105

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For courses in Research Methods, Reading and Understanding Research, and Quantitative Methods/Statistics. This uniquely accessible text shows precisely how to decipher and critique statistically-based research reports. Praised for its non-intimidating writing style, the text emphasizes concepts over formulas. The 6th edition contains 492 new excerpts drawn from recent journal articles, as well as three new chapters. An author-generated companion website has chapter outlines and quizzes, lists of misconceptions, links to online resources, and more.(www.readingstats.com) Reading Statistics and Research gives readers the knowledge and confidence they need to understand, evaluate, and write research reports.

Reading Research, Fifth Canadian Edition - E-Book

A User-Friendly Guide for Health Professionals

Author: Barbara Davies,Jo Logan

Publisher: Elsevier Health Sciences

ISBN: 1771720204

Category: Medical

Page: 96

View: 927

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This practical beginner-level introduction to health sciences research is ideal for both students and health professionals. It assumes the reader has little or no experience with analyzing published research, and provides guidelines for reading and understanding research articles, as well as information about important elements of published research (e.g., research methods, common terminology, data analysis and results). The book also briefly discusses how research results can be used and applied to practice. Concise overview of health sciences-related research - a fast read for students looking to maximize study time Easy-to-read conversational style - simplified style encourages students Helpful, succinct tips - useful, practical advice for those who are new to the subject An accompanying website provides up-to-date links for relevant research projects and other research-related sites, and offers Reader's Companion Worksheets Expanded Chapters 2 and 3 now include more on mixed method research New information about systematic reviews including an example of how to read a forest plot Descriptive and interpretive phenomenology is explained. NEW: Includes brief discussion about using social media to find research NEW: Interactive forms on accompanying website

Fundamentals of Statistical Reasoning in Education

Author: Theodore Coladarci,Casey D. Cobb,Edward W. Minium,Robert C. Clarke

Publisher: John Wiley & Sons

ISBN: 0470574798

Category: Education

Page: 480

View: 6611

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A statistics book specifically geared towards the education community. This book gives educators the statistical knowledge and skills necessary in everyday classroom teaching, in running schools, and in professional development pursuits. It emphasizes conceptual development with an engaging style and clear exposition.

Handbook of Reading Disability Research

Author: Anne McGill-Franzen,Richard L. Allington

Publisher: Routledge

ISBN: 1136980660

Category: Education

Page: 536

View: 3085

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Bringing together a wide range of research on reading disabilities, this comprehensive Handbook extends current discussion and thinking beyond a narrowly defined psychometric perspective. Emphasizing that learning to read proficiently is a long-term developmental process involving many interventions of various kinds, all keyed to individual developmental needs, it addresses traditional questions (What is the nature or causes of reading disabilities? How are reading disabilities assessed? How should reading disabilities be remediated? To what extent is remediation possible?) but from multiple or alternative perspectives. Taking incursions into the broader research literature represented by linguistic and anthropological paradigms, as well as psychological and educational research, the volume is on the front line in exploring the relation of reading disability to learning and language, to poverty and prejudice, and to instruction and schooling. The editors and authors are distinguished scholars with extensive research experience and publication records and numerous honors and awards from professional organizations representing the range of disciplines in the field of reading disabilities. Throughout, their contributions are contextualized within the framework of educators struggling to develop concrete instructional practices that meet the learning needs of the lowest achieving readers.

The Essential Guide to Effect Sizes

Statistical Power, Meta-Analysis, and the Interpretation of Research Results

Author: Paul D. Ellis

Publisher: Cambridge University Press

ISBN: 0521142466

Category: Business & Economics

Page: 173

View: 9143

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A jargon-free introduction for students and researchers looking to interpret the practical significance of their results.

Statistics for Research

With a Guide to SPSS

Author: George Argyrous

Publisher: SAGE

ISBN: 9781446245163

Category: Reference

Page: 608

View: 7058

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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 (www.uk.sagepub.com/argyrous3) 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.

Research Design in Social Research

Author: David de Vaus

Publisher: SAGE

ISBN: 9780761953470

Category: Social Science

Page: 279

View: 3980

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`With this book David de Vaus has written one of the best general research methods textbooks around. The use of different types of research design as the point of departure is a different and very helpful approach to take, especially since many textbooks confuse issues of method and design. The author outlines with great clarity a wide variety of issues, including testing theories, causation, data analysis, and the main considerations involved in using the different research designs covered. Both students and their instructors will find this an extremely valuable, well-written book' - Alan Bryman, University of Loughborough

Spirituality and Health Research

Methods, Measurements, Statistics, and Resources

Author: Harold G. Koenig

Publisher: Templeton Foundation Press

ISBN: 1599474018

Category: Medical

Page: 408

View: 1330

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In Spirituality and Health Research: Methods, Measurement, Statistics, and Resources, Dr. Harold G. Koenig leads a comprehensive overview of this complex subject. Dr. Koenig is one of the world’s leading authorities on the relationship between spirituality and health, and a leading researcher on the topic. As such, he is distinctively qualified to author such a book. This unique source of information on how to conduct research on religion, spirituality, and health includes practical information that goes well beyond what is typically taught in most undergraduate, graduate, or even post-doctoral level courses. This volume reviews what research has been done, discusses the strengths and limitations of that research, provides a research agenda for the future that describes the most important studies that need to be done to advance the field, and describes how to actually conduct that research (design, statistical analysis, and publication of results). It also covers practical matters such as how to write fundable grants to support the research, where to find sources of funding support for research in this area, and what can be done even if the researcher has little or no funding support. The information gathered together here, which has been reviewed for accuracy and comprehensiveness by research design and statistical experts, has been acquired during a span of over twenty-five years that Dr. Koenig spent conducting research, reviewing others’ research, reviewing research grants, and interacting with mainstream biomedical researchers both within and outside the field of spirituality and health. The material is presented in an easy to read and readily accessible form that will benefit researchers at almost any level of training and experience.

Statistics in Psychology Using R and SPSS

Author: Dieter Rasch,Klaus Kubinger,Takuya Yanagida

Publisher: John Wiley & Sons

ISBN: 047097124X

Category: Mathematics

Page: 552

View: 9623

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Statistics in Psychology covers all statistical methods needed in education and research in psychology. This book looks at research questions when planning data sampling, that is to design the intended study and to calculate the sample sizes in advance. In other words, no analysis applies if the minimum size is not determined in order to fulfil certain precision requirements. The book looks at the process of empirical research into the following seven stages: Formulation of the problem Stipulation of the precision requirements Selecting the statistical model for the planning and analysis The (optimal) design of the experiment or survey Performing the experiment or the survey Statistical analysis of the observed results Interpretation of the results.

Studyguide for Reading Statistics and Research by Huck, Isbn 9780132178631

Author: Cram101 Textbook Reviews

Publisher: Cram101

ISBN: 9781467267373

Category: Education

Page: 346

View: 4573

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Never HIGHLIGHT a Book Again! Virtually all of the testable terms, concepts, persons, places, and events from the textbook are included. Cram101 Just the FACTS101 studyguides give all of the outlines, highlights, notes, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanys: 9780132178631 .

Statistics for Political Analysis

Understanding the Numbers

Author: Theresa Marchant-Shapiro

Publisher: CQ Press

ISBN: 1483323684

Category: Political Science

Page: 496

View: 4442

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Statistics are just as vital to understanding political science as the study of institutions, but getting students to understand them when teaching a methods course can be a big challenge. In Statistics for Political Analysis, author Theresa Marchant-Shapiro makes understanding the numbers easy. The only introduction to statistics book written specifically for political science undergraduates, this book explains each statistical concept in plain language—from basic univariate statistics and the basic measures of association to bivariate and multivariate regression—and uses real world political examples. Students learn the relevance of statistics to political science, how to understand and calculate statistics mathematically, and how to obtain them using SPSS. All calculations are modeled step-by-step, giving students needed practice to master the process without making it intimidating. Each chapter concludes with exercises that get students actively applying the steps and building their professional skills through data calculation, analysis, and memo writing.

Reading Educational Research

How to Avoid Getting Statistically Snookered

Author: Gerald Watkins Bracey

Publisher: Heinemann Educational Books

ISBN: 9780325008585

Category: Education

Page: 188

View: 1180

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Stats, stats, stats. It seems everything written about education today is full of stats. Stats about reading and writing competency; stats about graduation and retention rates; stats comparing U.S. students to other countries' students; stats about how many students meet state education mandates. With so many numbers in education these days, how do you discern what's data and what's dada? With Reading Education Research, nimble-minded number cruncher and award-winning researcher Gerald Bracey takes your hand and walks you through the process of figuring out the meaning behind the figures. You don't need to be a math whiz to follow Bracey because he writes with clarity and humor, explicitly defining statistical terminology in easy-to-understand language and even offering you thirty-two specific principles for assessing the quality of research as you read it. Reading Education Research includes four major themes that every classroom teacher will find helpful as they read research and talk about it with colleagues, parents, or administrators, including: Don't be numbed by the numbers or get hung up on histograms. Before you read another piece of educational research, get Reading Education Research and let Gerald Bracey guide you to a firm understanding of the story behind the s

Reading Statistics and Research

Author: CTI Reviews

Publisher: Cram101 Textbook Reviews

ISBN: 1619064944

Category: Education

Page: 62

View: 4924

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Facts101 is your complete guide to Reading Statistics and Research. In this book, you will learn topics such as Reliability and Validity, Foundations of Inferential Statistics, Estimation, and Hypothesis Testing 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.

Advanced Medical Statistics

Author: Ying Lu,Jiqian Fang,Lu Tian,Hua Jin

Publisher: World Scientific

ISBN: 9814583324

Category: Medical

Page: 1472

View: 1660

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The book aims to provide both comprehensive reviews of the classical methods and an introduction to new developments in medical statistics. The topics range from meta analysis, clinical trial design, causal inference, personalized medicine to machine learning and next generation sequence analysis. Since the publication of the first edition, there have been tremendous advances in biostatistics and bioinformatics. The new edition tries to cover as many important emerging areas and reflect as much progress as possible. Many distinguished scholars, who greatly advanced their research areas in statistical methodology as well as practical applications, also have revised several chapters with relevant updates and written new ones from scratch. The new edition has been divided into four sections, including, Statistical Methods in Medicine and Epidemiology, Statistical Methods in Clinical Trials, Statistical Genetics, and General Methods. To reflect the rise of modern statistical genetics as one of the most fertile research areas since the publication of the first edition, the brand new section on Statistical Genetics includes entirely new chapters reflecting the state of the art in the field. Although tightly related, all the book chapters are self-contained and can be read independently. The book chapters intend to provide a convenient launch pad for readers interested in learning a specific topic, applying the related statistical methods in their scientific research and seeking the newest references for in-depth research. Contents:Statistics in Medicine and Epidemiology:History of Statistical Thinking in Medicine (Tar Timothy Chen)Describing Data, Modeling Variation, and Statistical Practice (Hongyan Du and Ming T Tan)Covariate-Specific and Covariate-Adjusted Predictive Values of Prognostic Biomarkers with Survival Outcome (Yunbei Ma, Xiao-Hua Zhou and Kwun Chuen (Gary) Chan)Statistical Methods for Personalized Medicine (Lu Tian and Xiaoguang Zhao)Statistics Used in Quality Control, Quality Assurance, and Quality Improvement in Radiological Studies (Ying Lu and Shoujun Zhao)Applications of Statistical Methods in Medical Imaging (Jesse S Jin)Cost-Effectiveness Analysis and Evidence-Based Medicine (Jianli Li)Quality of Life: Issues Concerning Assessment and Analysis (Jiqian Fang and Yuantao Hao)Meta-Analysis (Xuyu Zhou, Jiqian Fang, Chuanhua Yu, Zongli Xu, Lu Tian, and Ying Lu)Statistical Models and Methods in Infectious Diseases (Hulin Wu and Shoujun Zhao)Special Models for Sampling Survey (Sujuan Gao)The Use of Capture–Recapture Methodology in Epidemiological Surveillance and Ecological Surveys (Anne Chao, T C Hsieh and Hsin-Chou Yang)Statistical Methods in the Effective Evaluation of Mass Screening for Diseases (Qing Liu)Statistics in Clinical Trials:Statistics in Biopharmaceutical Research and Development (Shein-Chung Chow and Annpey Pong)Statistics in Pharmacology and Pre-Clinical Studies (Tze Leung Lai, Mei-Chiung Shin and Guangrui Zhu)Statistics in Toxicology (James J Chen)Dose-Response Modeling and Benchmark Doses in Health Risk Assessment (Yiliang Zhu)Some Fundamental Statistical Issues and Methodologies in Confirmatory Trials (George Y H Chi, Haiyan Xu and Qing Liu)Surrogates for Qualitative Evaluation of Treatment Effects (Zhi Geng)Adaptive Trial Design in Clinical Research (Annpey Pong and Shein-Chung Chow)Statistics in the Research of Traditional Chinese Medicine (Danhui Yi and Yang Li)Statistical Genetics:Sparse Segment Identifications with Applications to DNA Copy Number Variation Analysis (X Jessie Jeng, T Tony Cai and Hongzhe Li)Statistical Methods for Design and Analysis of Linkage Studies (Qizhai Li, Hong Qin, Zhaohai Li, and Gang Zheng)Transcriptome Analysis Using Next-Generation Sequencing (Jingyi Jessica Li, Haiyan Huang, Minping Qian and Xuegong Zhang)Genetic Structure of Human Population (Hua Tang and Kun Tang)Data Integration Methods in Genome Wide Association Studies (Ning Sun and Hongyu Zhao)Causal Inference (Zhi Geng)General Methods:Survival Analysis (D Y Lin)Nonparametric Regression Models for the Analysis of Longitudinal Data (Colin O Wu, Xin Tian, Kai F Yu, and Mi-Xia Wu)Local Modeling: Density Estimation and Nonparametric Regression (Jianqing Fan and Runze Li)Statistical Methods for Dependent Data (Feng Chen)Bayesian Methods (Ming-Hui Chen and Keying Ye)Valid Prior-Free Probabilistic Inference and Its Applications in Medical Statistics (Duncan Ermini Leaf, Hyokun Yun, and Chuanhai Liu)Stochastic Processes and Their Applications in Medical Science (Caixia Li and Jiqian Fang)Interpolation of Missing Values and Adjustment of Moving Holiday Effect in Time Series (Zhang Jin-Xin, Zhang Xi, Xue Yun-Lian, Li Ji-Bin and Huang Bo)Tree-based Methods (Heping Zhang)Introduction to Artificial Neural Networks (Xia Jielai, Jiang Hongwei, and Tang Qiyi) Readership: Biostatisticians, applied statisticians, medical researchers and clinicians, biopharmaceutical researchers, public health epidemiologists, biometricians and applied mathematicians. Key Features: The book covers very broad topics in medical statistics The book covers both most recent developments as well as classical work of the selected areas The book chapter is written by the experts in the field and illustrated with real life examplesKeywords:Medicine;Statistics;Epidemiology;Genomics;Clinical Trials;Bioinformatics;Machine Learning;Statistical Theory;Public HealthReviews: Review of the First Edition: “Overall the book covers a wide variety of applications. Each method is presented in sufficient depth to allow the reader to understand when the method(s) can be used … this book would be a useful resource for any practitioner in medical research.” Statistical Methods in Medical Research

Advanced Statistics in Research

Reading, Understanding, and Writing Up Data Analysis Results

Author: Larry Hatcher

Publisher: Shadow Finch Media LLC

ISBN: 9780985867003

Category: Mathematical statistics

Page: 632

View: 3319

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"Advanced Statistics in Research: Reading, Understanding, and Writing Up Data Analysis Results" is the simple, nontechnical introduction to the most complex multivariate statistics presented in empirical research articles. "wwwStatsInResearch.com, " is a companion website that provides free sample chapters, exercises, and PowerPoint slides for students and teachers. A free 600-item test bank is available to instructors. "Advanced Statistics in Research" does not show how to "perform" statistical procedures--it shows how to read, understand, and interpret them, as they are typically presented in journal articles and research reports. It demystifies the sophisticated statistics that stop most readers cold: multiple regression, logistic regression, discriminant analysis, ANOVA, ANCOVA, MANOVA, factor analysis, path analysis, structural equation modeling, meta-analysis--and more. "Advanced Statistics in Research" assumes that you have never had a course in statistics. It begins at the beginning, with research design, central tendency, variability, z scores, and the normal curve. You will learn (or re-learn) the big-three results that are common to most procedures: statistical significance, confidence intervals, and effect size. Step-by-step, each chapter gently builds on earlier concepts. Matrix algebra is avoided, and complex topics are explained using simple, easy-to-understand examples. "Need help writing up your results?" Advanced Statistics in Research shows how data-analysis results can be summarized in text, tables, and figures according to APA format. You will see how to present the basics (e.g., means and standard deviations) as well as the advanced (e.g., factor patterns, post-hoc tests, path models, and more). "Advanced Statistics in Research" is appropriate as a textbook for graduate students and upper-level undergraduates (see supplementary materials at StatsInResearch.com). It also serves as a handy shelf reference for investigators and all consumers of research.