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El. knyga: Statistics Translated: A Step-by-Step Guide to Analyzing and Interpreting Data

(Nova Southeastern University, United States)
  • Formatas: 433 pages
  • Išleidimo metai: 22-Jan-2021
  • Leidėjas: Guilford Press
  • Kalba: eng
  • ISBN-13: 9781462545438
Kitos knygos pagal šią temą:
  • Formatas: 433 pages
  • Išleidimo metai: 22-Jan-2021
  • Leidėjas: Guilford Press
  • Kalba: eng
  • ISBN-13: 9781462545438
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Roping the reader in with humor and real-world case examples presented as mysteries to be solved, this engaging text has been updated with new cases, the latest version of SPSS, and new coverage of multivariate analysis of variance. Steven R. Terrell prepares students and practitioners to become informed consumers of statistics so that they can make decisions based on data, and understand decisions others have made. He identifies six simple steps and guides readers to master them--from identifying a researchable problem to stating a hypothesis; identifying independent and dependent variables; and selecting, computing, and interpreting appropriate statistical tests. All techniques are demonstrated both manually and with the help of SPSS software.

New to This Edition *All software instructions and examples are updated to SPSS Version 25. *Expanded chapter on the analysis of variance (ANOVA)--now covers multivariate ANOVA. *New and revised examples and quiz items pertaining to a broader range of fields, such as business, information systems, and medical sciences, along with education and psychology.

Pedagogical Features *Examples of SPSS screenshots used for analyzing data. *User-friendly cautionary notes, "Putting it All Together" recaps, and alerts, such as "notice the effect size" or "check the direction of the mean scores." *End-of-chapter "Quiz Time" exercises that guide students to answer intriguing questions like whether working from home increases productivity, or whether age affects how long it takes to complete a doctoral degree. *Lists of key terms and formulas in each chapter, plus end-of-book glossary.

Recenzijos

"Most undergraduates--and many junior professors--dread introductory statistics courses. Statistics Translated, Second Edition, will relieve the concerns of both students and instructors. The conversational tone, frequent examples and applications, consistent presentation of a six-step model to drive decision making, and visual demonstrations make the book easy to read. It offers clear explanations of relatively advanced ideas and infuses ethics into statistical decision making, which will appeal to teachers. I also appreciate the author's emphasis, in interpreting data, on the size of the effect rather than the magnitude of the alpha level. This user-friendly text surely will be widely adopted in college classrooms and kept as a reference guide by professionals long after they complete their required statistics course."--Matthew K. Burns, PhD, Rose and Irving Fein Endowed Professor of Special Education, University of Florida; Assistant Director, University of Florida Literacy Institute

"Terrell's overall tone and approach display his genuine desire to help every reader learn about statistics. The text's step-by-step method enables students to think through the process of research so that they understand what tools are needed to answer questions of interest. Terrell uses practical examples throughout the book to help readers anchor ideas on prior knowledge. This is a fantastic introductory book for all students who feel that they struggle to understand statistics, and it is written in such a way that they will be empowered to learn."--Andrew H. Rose, PhD, Master of Social Work Program Director, Texas Tech University

"Terrells text is noteworthy for its cheerful, straightforward approach. The entire research process is presented in six steps, from identifying a research problem to testing the final hypothesis. The author integrates some simple data exploration procedures (such as graphical display of distributions) without entering into the sometimes tiresome arguments about the philosophy of data analysis. This calm approach is used throughout the volume. This is not to say the essentials are oversimplified--students are likely to complete the volume with an understanding of statistics as a descriptive procedure, and a basic competence with some tools to aid in evaluating propositions. Useful revisions in the second edition include more examples to illustrate the techniques, and coverage of multivariate ANOVA. If you want to bring students softly into appreciating--not fearing--statistics, this book is a good place to look."--Charles M. Super, PhD, Center for the Study of Culture, Health, and Human Development, University of Connecticut

"Statistics Translated is just that--statistics, translated into highly accessible language that glides students through the logic and common sense of statistics. With a mellifluous voice, Terrell brings all the essential statistical concepts to a level anyone can understand and appreciate (with no loss of meaning or utility). This is my book of choice for both introductory and intermediate statistics courses."--Todd D. Little, PhD, Department of Educational Psychology and Leadership, College of Education, Texas Tech University

"Tremendously accessible and well written. This text is especially helpful for students who are intimidated by statistics--which includes most students in the behavioral sciences. The text clearly and simply explains the steps of quantitative research, from creating a research question to computing and interpreting statistical findings. Like the first edition, the second edition is an excellent text for psychology research methods or behavioral statistics courses, and is valuable for anyone who must use and interpret statistics."--Robin A. Barry, PhD, Department of Psychology, University of Wyoming-

- Introduction: You Do Not Need to
Be a Statistician to Understand
Statistics!
A Little
Background
Many Students Do Not
Know What They’re Getting
Into
A Few Simple Steps
-
Identify the Problem
- State a
Hypothesis
- Identify the
Independent Variable
- Identify
and Describe the Dependent Variable
/> - Choose the Right Statistical
Test
- Use Data Analysis
Software to Test the Hypothesis

So, What’s New in This
Edition?
Summary
Do You
Understand These Key Words and
Phrases?

1. Identifying a
Research Problem and Stating
Hypotheses
Introduction

Identify the problem
-
Characteristics of a Good Problem
Statement
- Finding a Good
Research Problem
- The Problem
Is Interesting to the Researcher

- The Scope of the Problem Is
Manageable by the Researcher
-
The Researcher Has the Knowledge,
Time, and Resources Needed to
Investigate the Problem
- The
Problem Can Be Researched through the
Collection and Analysis of Numeric
Data
- Investigating the Problem
Has Theoretical or Practical
Significance
- It Is Ethical to
Investigate the Problem
-
Writing the Problem Statement
-
Problem Statements Must Be Clear and
Concise
- The Problem Statement
Must Include All Variables to Be
Considered
- The Problem
Statement Should Not Interject the
Researcher’s Bias
-
Summary of Step 1: Identify the
Problem
State a Hypothesis

- An Example of Stating Our
Hypothesis
- A Little More
Detail
- The Direction of
Hypotheses
- Using Directional
Hypotheses to Test a “Greater
Than” Relationship
- Using
Directional Hypotheses to Test a
“Less Than”
Relationship
- Nondirectional
Hypotheses
- Hypotheses Must Be
Testable via the Collection and
Analysis of Data
- Research
versus Null Hypotheses
- Stating
Null Hypotheses for Directional
Hypotheses
- Issues Underlying
the Null Hypothesis for Directional
Research Hypotheses
- Stating
Null Hypotheses for Nondirectional
Hypotheses
- A Preview of
Testing the Null Hypothesis
-
Where Does That Leave Us?
-
Statistical Words of Wisdom
-
Summary of Step 2: State a
Hypothesis
Do You Understand
These Key Words and Phrases?

Quiz Time!
Problem Statements
/> Case Studies:
The Case of
Distance Therapy
- The Case of
the New Teacher
- The Case of
Being Exactly Right
- The Case
of “Does It Really
Work?”
- The Case of
Advertising
- The Case of
Learning to Speak
- The Case of
Kids on Cruises

2. Identifying
the Independent and Dependent
Variables in a Hypothesis

Introduction
Identify the
Independent Variable
-
Nonmanipulated Independent
Variables
- Another Way of
Thinking about Nonmanipulated
Independent Variables
-
Manipulated or Experimental
Independent Variables
- Levels
of the Independent Variable
-
Summary of Step 3: Identify the
Independent Variable
Identify
and Describe the Dependent Variable
/> - Identifying Your Dependent
Variable
- What Type of Data Are
We Collecting?
- Interval
Data
- Data Types—What Is
the Good News?
- Summary of the
Dependent Variable and Data Types
/> - Measures of Central Tendency
/> - The Mean, Median, and
Mode—Measures of Central
Tendency
- The Mode
-
Using Statistical Software to Analyze
Our Data
- Summary of the First
Part of Step 4: Identify and Describe
the Dependent Variable
Do You
Understand These Key Words and
Phrases?
Do You Understand These
Formulas?
Quiz Time!

3.
Measures of Dispersion and Measures of
Relative Standing

Introduction
Measures of
Dispersion
- The Range
-
The Standard Deviation
- The
Variance
Measures of Relative
Standing
- Percentiles
-
Steven R. Terrell, PhD, is Professor Emeritus at Nova Southeastern University. He has taught quantitative and qualitative research methods since the 1980s and is the author of over 130 journal articles and conference presentations. Dr. Terrell is active in the American Psychological Association and the American Counseling Association and served as Chair of the American Educational Research Associations Online Teaching and Learning Special Interest Group.