Fred Pyrczak - Böcker

Making Sense of Statistics, Eighth Edition, is the ideal introduction to the concepts of descriptive and inferential statistics for students undertaking their first research project. It presents each statistical concept in a series of short steps, then uses worked examples and exercises to enable students to apply their own learning.It focuses on presenting the “why,” as well as the “how” of statistical concepts, rather than computations and formulas. As such, it is suitable for students from all disciplines regardless of mathematical background. Only statistical techniques that are almost universally included in introductory statistics courses, and widely reported in journals, have been included.This conceptual book is useful for all study levels, from undergraduate to doctoral level across disciplines. Once students understand and feel comfortable with the statistics presented in this book, they should find it easy to master additional statistical concepts.New to the Eighth EditionReorganization of chapters to allow better progress in conceptual understandingAdditional discussions on program evaluation, displays of outcomes, and examplesChapter objectives at the beginning of each chapter are listed with clear learning objectives for the readerExpanded appendices include a reference to common computational formulas and examplesA glossary of key terms has been updated to function as a useful vocabulary list for use in a first course in statisticsUpdated online resources, including a basic math review and answers and a test bank of questions

Making Sense of Statistics, Eighth Edition, is the ideal introduction to the concepts of descriptive and inferential statistics for students undertaking their first research project. It presents each statistical concept in a series of short steps, then uses worked examples and exercises to enable students to apply their own learning.It focuses on presenting the “why,” as well as the “how” of statistical concepts, rather than computations and formulas. As such, it is suitable for students from all disciplines regardless of mathematical background. Only statistical techniques that are almost universally included in introductory statistics courses, and widely reported in journals, have been included.This conceptual book is useful for all study levels, from undergraduate to doctoral level across disciplines. Once students understand and feel comfortable with the statistics presented in this book, they should find it easy to master additional statistical concepts.New to the Eighth EditionReorganization of chapters to allow better progress in conceptual understandingAdditional discussions on program evaluation, displays of outcomes, and examplesChapter objectives at the beginning of each chapter are listed with clear learning objectives for the readerExpanded appendices include a reference to common computational formulas and examplesA glossary of key terms has been updated to function as a useful vocabulary list for use in a first course in statisticsUpdated online resources, including a basic math review and answers and a test bank of questions

Evaluating Research in Academic Journals is a guide for students learning how to evaluate reports of empirical research published in academic journals. It breaks down the process of evaluating a journal article into easy-to-understand steps and emphasizes the practical aspects of evaluating research.The book describes the nuances that may make an article publishable, even when it has serious methodological flaws. Students learn when and why certain types of flaws may be tolerated, and why evaluation should not be performed mechanically. Each chapter is organized around evaluation questions, and the book includes numerous examples from journals in the social and behavioral sciences to illustrate the application of evaluation questions and provide actual instances of strong and weak features of published reports.Common-sense models for evaluation, combined with a lack of jargon make it possible for students to start evaluating research articles in the first week of class, making this the ideal textbook for instructors and students across a range of disciplines.New to this edition:A new chapter on Types of ResearchCoverage of the new realities of online survey methods and research using big dataA new appendix on Emerging Issues in Survey ResearchMore emphasis and information on qualitative, case studies, and action researchExpanded discussion of research ethics, including additional research-ethics-oriented guidelines, and new appendices devoted to noteworthy cases of research ethics breaches.The accompanying Instructor and Student Resources provide free digital materials designed to test student knowledge and save time when preparing lessons, including over 150 multiple-choice questions, articles, videos, and weblinks for students to test their knowledge of the material and further their understanding of concepts; and downloadable lecture slides and test banks for instructors.

Evaluating Research in Academic Journals is a guide for students learning how to evaluate reports of empirical research published in academic journals. It breaks down the process of evaluating a journal article into easy-to-understand steps and emphasizes the practical aspects of evaluating research.The book describes the nuances that may make an article publishable, even when it has serious methodological flaws. Students learn when and why certain types of flaws may be tolerated, and why evaluation should not be performed mechanically. Each chapter is organized around evaluation questions, and the book includes numerous examples from journals in the social and behavioral sciences to illustrate the application of evaluation questions and provide actual instances of strong and weak features of published reports.Common-sense models for evaluation, combined with a lack of jargon make it possible for students to start evaluating research articles in the first week of class, making this the ideal textbook for instructors and students across a range of disciplines.New to this edition:A new chapter on Types of ResearchCoverage of the new realities of online survey methods and research using big dataA new appendix on Emerging Issues in Survey ResearchMore emphasis and information on qualitative, case studies, and action researchExpanded discussion of research ethics, including additional research-ethics-oriented guidelines, and new appendices devoted to noteworthy cases of research ethics breaches.The accompanying Instructor and Student Resources provide free digital materials designed to test student knowledge and save time when preparing lessons, including over 150 multiple-choice questions, articles, videos, and weblinks for students to test their knowledge of the material and further their understanding of concepts; and downloadable lecture slides and test banks for instructors.

•We’ve added a comprehensive basic math review to this edition. It will get your students off to a good start in statistics. • In the worksheets, students obtain answers to humorous riddles if their work is correct. If the answer to a riddle does not make sense, they know to check their work. • Easy to coordinate with all major statistics textbooks because each exercise covers only a limited number of statistics. • All major topics are included—from calculating percentages to conducting a one-way ANOVA. • Over 40 humorously illustrated, interactive guides give your students solid advice on study skills covering everything from how to get the most out of a statistics textbook to how to work with a tutor. • The 64-page instructor’s answer key shows all the steps in the solutions for the computational problems. This key makes it easy for you to start using the workbook right away. • This book has been a perennial best-seller. Minor adjustments throughout bring you an improved Second Edition for 1999.

• Seventy professors share their tips, techniques, and strategies for overcoming roadblocks to the completion of a thesis or dissertation.• Many of the professors share their personal experiences in completing their dissertations. With hindsight, they offer advice based on these experiences. The personal nature of these essays makes fascinating reading.• The professors’ contributions cover a wide range of topics including· selecting a topic, · selecting a chair and a committee,· working with the chair and committee, · selecting literature to review, · writing a literature review, · time management,· overcoming writer’s block, · overcoming anxiety, · putting the thesis/dissertation into proper perspective,· establishing support groups,· understanding the role of the dissertation in professional development,· and many others!• This “in-their-own-words” book allows students to select the advice that is best suited to their situations and work styles.• Running sidebars throughout the book help students locate information on the matters with which they need help.• Ideal for independent reading by your students or use each of the contributions as a discussion topic in a thesis/dissertation preparation course.