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Author: Michael M. Nikoletseas
Publisher: MICHAEL NIKOLETSEAS
ISBN:
Category : Education
Languages : en
Pages : 349
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Book Description
This book teaches students and researchers how to analyze their data (statistical tests) using simple arithmetic and only five simple formulas.All statistical tests, from the most simple to very complex) are included with examples. The most important achievement of this book is to explain with words the logic of applied statistics, This is necessary in experimental sciences. TABLE OF CONTENTS PART 1 THEORY CONCEPTS STATISTICAL TESTS What is Statistics Descriptive Statistics Inferential Statistics Non-parametric Statistics Parametric Statistics The median The mode The mean Variance The standard normal curve The normal-distribution table - how to use Standard error of the mean The t-test The t-distribution table Paired t-test The F-distribution table - how to use 2 x 2 factorial Analysis of Variance ANOVA 2 x 3 factorial Analysis of Variance ANOVA ANOVA mixed split plot ANOVA repeated measures List of summary tables of ANOVA designs Formulas for df in ANOVA PART 2 LECTURE AND LAB Lecture 1 Numbers Quantities Measurement Lecture 2 Goddess Normal Curve Lecture 3 Variance and standard deviation Lecture 4 The uses of the normal distribution Lecture 5 The t-test Lecture 6 Analysis of variance One-way ANOVA Lecture 7 Analysis of Variance Factorial Designs Two-Way ANOVA Lecture 8 Repeated measures, correlated groups Lecture 9 Complex, mixed, split-plot designs PART 3.STATISTICAL DESIGN Identify the design-case 1 Identify the design-case 2 Identify the design-case 3 Identify the design-case 4 Identify the design-case 5 Identify the design-case 6 Identify the design-case 7 Identify the design-case 8 Identify the design-case 9 Identify the design-case 10 Identify the design-case 11 Identify the design-case 12 Identify the design-case 13 PART 4.PRACTICE EXERCISES The mean: practice exercises and solutions Variance: practice exercises and solution The problem The solution The sum of squares: practice exercises and solutions The problem The solution Standard deviation practice exercises and solutions The problem The solution ANOVA mixed split plot- practice example Statistical design practice question APPENDIX Five simple formulas for all parametric statistics Statistical Tables The Normal Distribution Table The t-distribution Table The F Distribution Table Key to the design questions of part 3, discussion FAQ Frequently Asked Questions The standard normal curve formula
Author: Michael M. Nikoletseas
Publisher: MICHAEL NIKOLETSEAS
ISBN:
Category : Education
Languages : en
Pages : 349
Get Book Here
Book Description
This book teaches students and researchers how to analyze their data (statistical tests) using simple arithmetic and only five simple formulas.All statistical tests, from the most simple to very complex) are included with examples. The most important achievement of this book is to explain with words the logic of applied statistics, This is necessary in experimental sciences. TABLE OF CONTENTS PART 1 THEORY CONCEPTS STATISTICAL TESTS What is Statistics Descriptive Statistics Inferential Statistics Non-parametric Statistics Parametric Statistics The median The mode The mean Variance The standard normal curve The normal-distribution table - how to use Standard error of the mean The t-test The t-distribution table Paired t-test The F-distribution table - how to use 2 x 2 factorial Analysis of Variance ANOVA 2 x 3 factorial Analysis of Variance ANOVA ANOVA mixed split plot ANOVA repeated measures List of summary tables of ANOVA designs Formulas for df in ANOVA PART 2 LECTURE AND LAB Lecture 1 Numbers Quantities Measurement Lecture 2 Goddess Normal Curve Lecture 3 Variance and standard deviation Lecture 4 The uses of the normal distribution Lecture 5 The t-test Lecture 6 Analysis of variance One-way ANOVA Lecture 7 Analysis of Variance Factorial Designs Two-Way ANOVA Lecture 8 Repeated measures, correlated groups Lecture 9 Complex, mixed, split-plot designs PART 3.STATISTICAL DESIGN Identify the design-case 1 Identify the design-case 2 Identify the design-case 3 Identify the design-case 4 Identify the design-case 5 Identify the design-case 6 Identify the design-case 7 Identify the design-case 8 Identify the design-case 9 Identify the design-case 10 Identify the design-case 11 Identify the design-case 12 Identify the design-case 13 PART 4.PRACTICE EXERCISES The mean: practice exercises and solutions Variance: practice exercises and solution The problem The solution The sum of squares: practice exercises and solutions The problem The solution Standard deviation practice exercises and solutions The problem The solution ANOVA mixed split plot- practice example Statistical design practice question APPENDIX Five simple formulas for all parametric statistics Statistical Tables The Normal Distribution Table The t-distribution Table The F Distribution Table Key to the design questions of part 3, discussion FAQ Frequently Asked Questions The standard normal curve formula
Author: Michael Nikoletseas
Publisher:
ISBN:
Category :
Languages : en
Pages : 235
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Book Description
This is the second edition of a unique book that teaches Statistics with only five simple formulas. This book was written by a professor of Psychology/ Medicine who taught introductory and advanced statistics in American colleges for many years. It teaches the concepts and logic of Statistics through stories. All parametric statistical tests covered with examples: t-test, all ANOVA through complex designs! You need only 5 simple formulas! Ideal for the COVID-19 era in winch classroom teaching is not always possible. Formulas do not lead to understanding, they actually prevent it. This book takes you through elementary, intermediate and advanced Statistics with only five simple formulas! Descriptive and inferential Statistics. t-test, one-way analysis of variance (ANOVA), two-way ANOVA, repeated measures, factorial designs unlimited, complex split-plot designs. Understanding the concepts and logic of statistics makes you a better researcher and gives you confidence in live presentations of your research.
Author: John M. Swales
Publisher: University of Michigan Press ELT
ISBN:
Category : Foreign Language Study
Languages : en
Pages : 352
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Book Description
New material featured in this edition includes updates and replacements of older data sets, a broader range of disciplines represented in models and examples, a discussion of discourse analysis, and tips for Internet communication.
Author: MICHAEL M NIKOLETSEAS
Publisher: MICHAEL NIKOLETSEAS
ISBN:
Category : Education
Languages : en
Pages : 305
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Book Description
The author of this book taught introductory and advanced statistics in American colleges for many years. He is also a researcher with life-long experience in applying Statistics. This is a unique book (American Journal of Applied Sciences ajassp.2016.1033.1039). It teaches you elementary and advanced Statistics with only 5 simple formulas and simple arithmetic. No college Math needed. Learn the concepts and logic of Statistics through stories. Understanding the concepts and logic of statistics makes formulas unnecessary as formulas summarize what operations you must perform, regrettably without understanding. . Grasp the concepts and logic of Statistics and become a better student and researcher and gain confidence in your thesis defense and live presentations of your research. All parametric statistical tests covered with examples.This book is on the shelves of many libraries such as Princeton, \Oxford, Cambridge, and is referenced in research publications. Descriptive and inferential Statistics. variance standard deviation the normal curve t-test one-way analysis of variance (ANOVA) two-way ANOVA repeated measures ANOVA 2x2 factorial designs factorial designs unlimited complex split-plot designs This book is based on my lectures of a two-semester Statistics course and my experiences in teaching a two-semester Psychology Neuroscience lab for two decades. In such a situation I was forced to teach elementary and advanced Statistics as it relates to real life, i.e., experimental science. Judging from the fact that my students went on to such schools as Princeton, Yale, Karolinska, Harvard, MIT, I should say that was a successful course. This book is the easiest Statistics book while it goes much farther into advanced statistical analysis than most introductory books. It will be useful to college students and researchers. REVIEWS 5.0 out of 5 stars Statistics Made Relatable Reviewed in the United States on December 29, 2020 Verified Purchase As someone who suffered terribly through a mandatory probability and statistics class in college, I am pleasantly surprised to find a new instructional book in statistics that actually promises to be a fun and entertaining read. Michael Nikoletseas has written precisely such a book here. He teaches statistics by walking the reader through real life anecdote after real life anecdote to which he applies principles of statistics. He thus makes the arcane eminently relatable for the lay reader. Where was this book when I was in college? If your schooling or work includes working with statistics, do yourself a favor and buy this book.
Author: Kieth A. Carlson
Publisher: SAGE Publications
ISBN: 1544375107
Category : Psychology
Languages : en
Pages : 445
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Book Description
This updated and reorganized Third Edition of this textbook takes a workbook-style approach that encourages an active approach to learning statistics. Carefully placed reading questions throughout each chapter allow students to apply their knowledge right away, while in-depth activities based on current behavioral science scenarios, each with problem sets and quiz questions, give students the opportunity to assess their understanding of concepts while reading detailed explanations of more complex statistical concepts. Additional practice problems further solidify student learning. Most activities are self-correcting, so if a concept is misunderstood, this misunderstanding is corrected early in the learning process. After working through each chapter, students are far more likely to understand the material than when they only read the material.
Author: Shirley Dowdy
Publisher: John Wiley & Sons
ISBN: 0471477427
Category : Mathematics
Languages : en
Pages : 646
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Book Description
Praise for the Second Edition "Statistics for Research has other fine qualities besides superior organization. The examples and the statistical methods are laid out with unusual clarity by the simple device of using special formats for each. The book was written with great care and is extremely user-friendly."—The UMAP Journal Although the goals and procedures of statistical research have changed little since the Second Edition of Statistics for Research was published, the almost universal availability of personal computers and statistical computing application packages have made it possible for today's statisticians to do more in less time than ever before. The Third Edition of this bestselling text reflects how the changes in the computing environment have transformed the way statistical analyses are performed today. Based on extensive input from university statistics departments throughout the country, the authors have made several important and timely revisions, including: Additional material on probability appears early in the text New sections on odds ratios, ratio and difference estimations, repeated measure analysis, and logistic regression New examples and exercises, many from the field of the health sciences Printouts of computer analyses on all complex procedures An accompanying Web site illustrating how to use SAS® and JMP® for all procedures The text features the most commonly used statistical techniques for the analysis of research data. As in the earlier editions, emphasis is placed on how to select the proper statistical procedure and how to interpret results. Whenever possible, to avoid using the computer as a "black box" that performs a mysterious process on the data, actual computational procedures are also given. A must for scientists who analyze data, professionals and researchers who need a self-teaching text, and graduate students in statistical methods, Statistics for Research, Third Edition brings the methodology up to date in a very practical and accessible way.
Author: Richard G Lomax
Publisher: Routledge
ISBN: 1136490124
Category : Psychology
Languages : en
Pages : 1004
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Book Description
This comprehensive, flexible text is used in both one- and two-semester courses to review introductory through intermediate statistics. Instructors select the topics that are most appropriate for their course. Its conceptual approach helps students more easily understand the concepts and interpret SPSS and research results. Key concepts are simply stated and occasionally reintroduced and related to one another for reinforcement. Numerous examples demonstrate their relevance. This edition features more explanation to increase understanding of the concepts. Only crucial equations are included. In addition to updating throughout, the new edition features: New co-author, Debbie L. Hahs-Vaughn, the 2007 recipient of the University of Central Florida's College of Education Excellence in Graduate Teaching Award. A new chapter on logistic regression models for today's more complex methodologies. More on computing confidence intervals and conducting power analyses using G*Power. Many more SPSS screenshots to assist with understanding how to navigate SPSS and annotated SPSS output to assist in the interpretation of results. Extended sections on how to write-up statistical results in APA format. New learning tools including chapter-opening vignettes, outlines, and a list of key concepts, many more examples, tables, and figures, boxes, and chapter summaries. More tables of assumptions and the effects of their violation including how to test them in SPSS. 33% new conceptual, computational, and all new interpretative problems. A website that features PowerPoint slides, answers to the even-numbered problems, and test items for instructors, and for students the chapter outlines, key concepts, and datasets that can be used in SPSS and other packages, and more. Each chapter begins with an outline, a list of key concepts, and a vignette related to those concepts. Realistic examples from education and the behavioral sciences illustrate those concepts. Each example examines the procedures and assumptions and provides instructions for how to run SPSS, including annotated output, and tips to develop an APA style write-up. Useful tables of assumptions and the effects of their violation are included, along with how to test assumptions in SPSS. 'Stop and Think' boxes provide helpful tips for better understanding the concepts. Each chapter includes computational, conceptual, and interpretive problems. The data sets used in the examples and problems are provided on the web. Answers to the odd-numbered problems are given in the book. The first five chapters review descriptive statistics including ways of representing data graphically, statistical measures, the normal distribution, and probability and sampling. The remainder of the text covers inferential statistics involving means, proportions, variances, and correlations, basic and advanced analysis of variance and regression models. Topics not dealt with in other texts such as robust methods, multiple comparison and nonparametric procedures, and advanced ANOVA and multiple and logistic regression models are also reviewed. Intended for one- or two-semester courses in statistics taught in education and/or the behavioral sciences at the graduate and/or advanced undergraduate level, knowledge of statistics is not a prerequisite. A rudimentary knowledge of algebra is required.
Author: Linda B. Nilson
Publisher: John Wiley & Sons
ISBN: 0470612363
Category : Education
Languages : en
Pages : 401
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Book Description
Teaching at Its Best This third edition of the best-selling handbook offers faculty at all levels an essential toolbox of hundreds of practical teaching techniques, formats, classroom activities, and exercises, all of which can be implemented immediately. This thoroughly revised edition includes the newest portrait of the Millennial student; current research from cognitive psychology; a focus on outcomes maps; the latest legal options on copyright issues; and how to best use new technology including wikis, blogs, podcasts, vodcasts, and clickers. Entirely new chapters include subjects such as matching teaching methods with learning outcomes, inquiry-guided learning, and using visuals to teach, and new sections address Felder and Silverman's Index of Learning Styles, SCALE-UP classrooms, multiple true-false test items, and much more. Praise for the Third Edition of Teaching at Its BestEveryone veterans as well as novices will profit from reading Teaching at Its Best, for it provides both theory and practical suggestions for handling all of the problems one encounters in teaching classes varying in size, ability, and motivation." Wilbert McKeachie, Department of Psychology, University of Michigan, and coauthor, McKeachie's Teaching TipsThis new edition of Dr. Nilson's book, with its completely updated material and several new topics, is an even more powerful collection of ideas and tools than the last. What a great resource, especially for beginning teachers but also for us veterans!" L. Dee Fink, author, Creating Significant Learning ExperiencesThis third edition of Teaching at Its Best is successful at weaving the latest research on teaching and learning into what was already a thorough exploration of each topic. New information on how we learn, how students develop, and innovations in instructional strategies complement the solid foundation established in the first two editions." Marilla D. Svinicki, Department of Psychology, The University of Texas, Austin, and coauthor, McKeachie's Teaching Tips
Author: Kathrynn A. Adams
Publisher: SAGE Publications
ISBN: 1071817906
Category : Psychology
Languages : en
Pages : 283
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Book Description
The third edition of the Student Study Guide With IBM® SPSS® Workbook for Research Methods, Statistics, and Applications by Kathrynn A. Adams and Eva K. McGuire gives students even more opportunities to practice and apply their knowledge in statistics and research methods. Written by the authors of Research Methods, Statistics, and Applications, the third edition of the study guide follows the third edition of the textbook for straightforward assigning and practice. New features include practice quizzes to give students both recognition and recall activities for better retention. Learning objectives and brief chapter summaries from the main text remind students of what they′ve learned and orient students toward the exercises. In-depth exercises encourage students to build on their knowledge, requiring students to think critically and actively engage with the material. These exercises have been condensed and focus on moving students through the learning objectives at a quick pace. At the end of most chapters, "Your Research" sections encourage students to apply concepts to their own projects. Now placed at the end of book, the IBM® SPSS® workbook provides instructions for performing statistical calculations. Included in this workbook are additional exercises to practice data analysis and interpretation using the software. Answers to quizzes are listed immediately after each quiz in the book while answers to exercises are listed on the instructor resources website.
Author: Jerome L. Myers
Publisher: Routledge
ISBN: 1135811636
Category : Psychology
Languages : en
Pages : 821
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Book Description
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.
