Reading Statistics and Research

Author: Schuyler W. Huck

Publisher: Addison Wesley Longman

ISBN: 9780132178631

Category: Education

Page: 566

View: 7835

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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: Pearson New International Edition

Author: Schuyler W. Huck

Publisher: Pearson Higher Ed

ISBN: 1292053674

Category: Social Science

Page: 512

View: 9979

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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.

Studyguide for Reading Statistics and Research by Huck, Isbn 9780132178631

Author: Cram101 Textbook Reviews

Publisher: Cram101

ISBN: 9781467267373

Category: Education

Page: 346

View: 7372

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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 .

Reading Statistics and Research

Author: CTI Reviews

Publisher: Cram101 Textbook Reviews

ISBN: 1619064944

Category: Education

Page: 62

View: 9887

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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 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: 9361

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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.

Reading and Understanding Research

Author: Lawrence F. Locke,Stephen J. Silverman,Waneen Wyrick Spirduso

Publisher: SAGE

ISBN: 1412975743

Category: Social Science

Page: 291

View: 6287

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There is virtually no way to complete one's education without encountering a research report. The book that has helped demystify qualitative and quantitative research articles for thousands of readers, from the authors of the best-selling Proposals that Work, has been revised. This edition is completely reorganized to separate quantitative and qualitative research with four new distinct sections (research reports, quantitative research, qualitative research, and research reviews. The authors presume no special background in research, and begin by introducing and framing the notion of reading research within a wider social context. Next they offer insight on when to seek out research, locating and selecting the right reports, and how to help evaluate research for trustworthiness.

Statistik-Workshop für Programmierer

Author: Allen B. Downey

Publisher: O'Reilly Germany

ISBN: 3868993436

Category: Computers

Page: 160

View: 9300

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Wenn Sie programmieren können, beherrschen Sie bereits Techniken, um aus Daten Wissen zu extrahieren. Diese kompakte Einführung in die Statistik zeigt Ihnen, wie Sie rechnergestützt, anstatt auf mathematischem Weg Datenanalysen mit Python durchführen können. Praktischer Programmier-Workshop statt grauer Theorie: Das Buch führt Sie anhand eines durchgängigen Fallbeispiels durch eine vollständige Datenanalyse -- von der Datensammlung über die Berechnung statistischer Kennwerte und Identifikation von Mustern bis hin zum Testen statistischer Hypothesen. Gleichzeitig werden Sie mit statistischen Verteilungen, den Regeln der Wahrscheinlichkeitsrechnung, Visualisierungsmöglichkeiten und vielen anderen Arbeitstechniken und Konzepten vertraut gemacht. Statistik-Konzepte zum Ausprobieren: Entwickeln Sie über das Schreiben und Testen von Code ein Verständnis für die Grundlagen von Wahrscheinlichkeitsrechnung und Statistik: Überprüfen Sie das Verhalten statistischer Merkmale durch Zufallsexperimente, zum Beispiel indem Sie Stichproben aus unterschiedlichen Verteilungen ziehen. Nutzen Sie Simulationen, um Konzepte zu verstehen, die auf mathematischem Weg nur schwer zugänglich sind. Lernen Sie etwas über Themen, die in Einführungen üblicherweise nicht vermittelt werden, beispielsweise über die Bayessche Schätzung. Nutzen Sie Python zur Bereinigung und Aufbereitung von Rohdaten aus nahezu beliebigen Quellen. Beantworten Sie mit den Mitteln der Inferenzstatistik Fragestellungen zu realen Daten.

Statistical Misconceptions

Author: Schuyler W. Huck

Publisher: Taylor & Francis

ISBN: 0203889282

Category: Education

Page: 312

View: 6156

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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.

A Dictionary of Research Methodology and Statistics in Applied Linguistics

Author: Hossein Tavakoli

Publisher: Rahnama Press

ISBN: 9643675084

Category: Language Arts & Disciplines

Page: 753

View: 4777

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'A dictionary of research methodology and statistics in applied linguistics' is a reference guide which offers an authoritative and comprehensive overview of key terms and concepts in the areas of research and statistics as concerns the field of applied linguistics. The volume is intended as a resource to delineate the meaning and use of various concepts, approaches, methods, designs, techniques, tools, types, and processes of applied linguistics research in an efficient and accessible style. Some entries relating to statistical aspects of research are also used so as to help the researcher in the successful formulation, analysis, and execution of the research design and carry the same towards its logical end. This book makes use of approximately 2000 entries on the key concepts and issues of research with cross references where necessary. This volume is designed to appeal to undergraduate and graduate students, teachers, lecturers, practitioners, researchers, consultants, and consumers of information across the field of applied linguistics and other related disciplines.

Dictionary of Statistics & Methodology

A Nontechnical Guide for the Social Sciences

Author: W. Paul Vogt,R. Burke Johnson

Publisher: SAGE

ISBN: 1412971098

Category: Reference

Page: 437

View: 1238

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Written in a clear, readable style with a wide range of explanations and examples, the Fourth Edition of this must-have reference guide has been updated throughout to reflect recent changes in the fields of statistics and methodology. Packed with new terms, synonyms, and graphics, this best-selling dictionary provides readers with everything they need to read and understand a research report, including elementary terms and concepts and methodology and design definitions, as well as concepts from qualitative research methods and terms from theory and philosophy.

Research Methods and Statistics in Psychology

Author: Hugh Coolican

Publisher: Psychology Press

ISBN: 113463868X

Category: Psychology

Page: 774

View: 5241

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This sixth edition of Research Methods and Statistics in Psychology has been fully revised and updated, providing students with the most readable and comprehensive survey of research methods, statistical concepts and procedures in psychology today. Assuming no prior knowledge, this bestselling text takes you through every stage of your research project giving advice on planning and conducting studies, analysing data and writing up reports. The book provides clear coverage of statistical procedures, and includes everything needed from nominal level tests to multi-factorial ANOVA designs, multiple regression and log linear analysis. It features detailed and illustrated SPSS instructions for all these procedures eliminating the need for an extra SPSS textbook. New features in the sixth edition include: "Tricky bits" - in-depth notes on the things that students typically have problems with, including common misunderstandings and likely mistakes. Improved coverage of qualitative methods and analysis, plus updates to Grounded Theory, Interpretive Phenomenological Analysis and Discourse Analysis. A full and recently published journal article using Thematic Analysis, illustrating how articles appear in print. Discussion of contemporary issues and debates, including recent coverage of journals’ reluctance to publish replication of studies. Fully updated online links, offering even more information and useful resources, especially for statistics. Each chapter contains a glossary, key terms and newly integrated exercises, ensuring that key concepts are understood. A companion website (www.routledge.com/cw/coolican) provides additional exercises, revision flash cards, links to further reading and data for use with SPSS.

Die Berechnung der Zukunft

Warum die meisten Prognosen falsch sind und manche trotzdem zutreffen - Der New York Times Bestseller

Author: Nate Silver

Publisher: Heyne Verlag

ISBN: 3641112702

Category: Business & Economics

Page: 656

View: 4591

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Zuverlässige Vorhersagen sind doch möglich! Nate Silver ist der heimliche Gewinner der amerikanischen Präsidentschaftswahlen 2012: ein begnadeter Statistiker, als »Prognose-Popstar« und »Wundernerd« weltberühmt geworden. Er hat die Wahlergebnisse aller 50 amerikanischen Bundesstaaten absolut exakt vorausgesagt – doch damit nicht genug: Jetzt zeigt Nate Silver, wie seine Prognosen in Zukunft Terroranschläge, Umweltkatastrophen und Finanzkrisen verhindern sollen. Gelingt ihm die Abschaffung des Zufalls? Warum werden Wettervorhersagen immer besser, während die Terrorattacken vom 11.09.2001 niemand kommen sah? Warum erkennen Ökonomen eine globale Finanzkrise nicht einmal dann, wenn diese bereits begonnen hat? Das Problem ist nicht der Mangel an Informationen, sondern dass wir die verfügbaren Daten nicht richtig deuten. Zuverlässige Prognosen aber würden uns helfen, Zufälle und Ungewissheiten abzuwehren und unser Schicksal selbst zu bestimmen. Nate Silver zeigt, dass und wie das geht. Erstmals wendet er seine Wahrscheinlichkeitsrechnung nicht nur auf Wahlprognosen an, sondern auf die großen Probleme unserer Zeit: die Finanzmärkte, Ratingagenturen, Epidemien, Erdbeben, den Klimawandel, den Terrorismus. In all diesen Fällen gibt es zahlreiche Prognosen von Experten, die er überprüft – und erklärt, warum sie meist falsch sind. Gleichzeitig schildert er, wie es gelingen kann, im Rauschen der Daten die wesentlichen Informationen herauszufiltern. Ein unterhaltsamer und spannender Augenöffner!

Research Methods and Statistics in Psychology

Author: S Alexander Haslam,Craig McGarty

Publisher: SAGE

ISBN: 1446204707

Category: Psychology

Page: 520

View: 9946

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'The strength of this book is in the determined approach it takes to helping the reader learn the subject matter by the inclusion of explanations of key terms and exercises. If coupled with tutorial support, this will encourage students to work harder at the subject matter - always a challenge in what many students perceive as the least accessible and interesting part of psychology. It is well worth considering as a core methods text for undergraduates or for masters students new to psychology'- John Hegarty, Times Higher Educational Supplement, Textbook Guide Research Methods and Statistics in Psychology is an accessible introduction to the principal research methods and statistical procedures that underpin psychological research. With a broad range of support materials and features it is the ideal textbook to accompany both a first and second year course. Key features of this new textbook: - Accompanying website: an interactive resource for both both teachers and students including powerpoint slides of lecture notes, self-test multiple choice questions and answers for students as well as other on-line features. To access these please click on the Companion Website logo above - Coverage of the full research process in psychology from the ground up, addressing issues to do with research goals, problem definition and hypothesis, methodological choices and strategy and ethical controversies. - Complete coverage of the key quantitative and qualitative methods now recognised in psychology. - A host of textbook features including checklists of research evaluation and improvement, discussion questions and exercises; and annotated further reading at the end of every chapter. - Appendices in the back of the textbook in conjunction with the accompanying website - step-by-step guide to performing key statistical tests and a guide to writing up experiments and reports in psychology. Research Methods and Statistics in Psychology is a comprehensive and student-friendly introductory textbook that deals with psychological research issues in depth, but which places an emphasis on the conceptual and practical skills necessary to become a good researcher.

Statistics in Research and Development, Second Edition

Author: R. Caulcutt

Publisher: CRC Press

ISBN: 9780412358906

Category: Business & Economics

Page: 488

View: 6818

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Many scientists and technologists would like to carry out their own statistical analyses without reference to a professional statistician. Often, however, they have no knowledge of statistics or otherwise do not know how to apply it to research and development problems. The first edition of Statistics in Research and Development was written for these people. The second edition brings the book up-to-date. The text is divided into two parts; the first introduces basic but very important statistical techniques whilst the second part presents the modern powerful methods of data analysis that are particularly useful in modern research and development. Problems are provided at the end of each chapter with worked solutions provided at the end of the book. A problem-centered approach is used throughout and care has been taken to choose problems with which the scientist or technologist can identify. The results of the statistical analyses are reinterpreted into the language of the scientist. Mathematics is kept to a minimum and the assumptions underlying each technique are clearly explained. All the techniques introduced are powerful and proven, and commercial computer programs are available for many of them.

Research Methods and Statistics

Author: Ian Walker

Publisher: Macmillan International Higher Education

ISBN: 1137013737

Category: Psychology

Page: 200

View: 5462

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Whether it's designing a study, conducting an experiment, or analyzing the results, research methods are an integral part of Psychology. In this student-friendly introduction, Walker covers the different types of study, quantitative data, statistics and ethics. This book is the perfect tool to help build students' confidence in this vital area.

Research Methods in Applied Settings

An Integrated Approach to Design and Analysis, Second Edition

Author: Jeffrey A. Gliner,George A. Morgan,Nancy L. Leech

Publisher: Routledge

ISBN: 1136910492

Category: Education

Page: 488

View: 8616

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First Published in 2010. Routledge is an imprint of Taylor & Francis, an informa company.

Understanding Research in Second Language Learning

A Teacher's Guide to Statistics and Research Design

Author: Brown,James Dean Brown

Publisher: Cambridge University Press

ISBN: 9780521315517

Category: Foreign Language Study

Page: 219

View: 3678

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What is research? - Variables - Data organization - Controlling extraneous variables - Critiquing statistical studies - The group and the individuals - Patterns in human behavior - Statistics for testing - Statistical logic - Correlation - Comparing means - Comparing frequencies - Hands-on critique and posttest.

Statistics in Medicine

Author: Robert H. Riffenburgh

Publisher: Academic Press

ISBN: 0123848652

Category: Science

Page: 738

View: 4837

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Statistics in Medicine, Third Edition makes medical statistics easy to understand by students, practicing physicians, and researchers. The book begins with databases from clinical medicine and uses such data to give multiple worked-out illustrations of every method. The text opens with how to plan studies from conception to publication and what to do with your data, and follows with step-by-step instructions for biostatistical methods from the simplest levels (averages, bar charts) progressively to the more sophisticated methods now being seen in medical articles (multiple regression, noninferiority testing). Examples are given from almost every medical specialty and from dentistry, nursing, pharmacy, and health care management. A preliminary guide is given to tailor sections of the text to various lengths of biostatistical courses. User-friendly format includes medical examples, step-by-step methods, and check-yourself exercises appealing to readers with little or no statistical background, across medical and biomedical disciplines Facilitates stand-alone methods rather than a required sequence of reading and references to prior text Covers trial randomization, treatment ethics in medical research, imputation of missing data, evidence-based medical decisions, how to interpret medical articles, noninferiority testing, meta-analysis, screening number needed to treat, and epidemiology Fills the gap left in all other medical statistics books between the reader’s knowledge of how to go about research and the book’s coverage of how to analyze results of that research New in this Edition: New chapters on planning research, managing data and analysis, Bayesian statistics, measuring association and agreement, and questionnaires and surveys New sections on what tests and descriptive statistics to choose, false discovery rate, interim analysis, bootstrapping, Bland-Altman plots, Markov chain Monte Carlo (MCMC), and Deming regression Expanded coverage on probability, statistical methods and tests relatively new to medical research, ROC curves, experimental design, and survival analysis 35 Databases in Excel format used in the book and can be downloaded and transferred into whatever format is needed along with PowerPoint slides of figures, tables, and graphs from the book included on the companion site, http://www.elsevierdirect.com/companion.jsp?ISBN=9780123848642 Medical subject index offers additional search capabilities