An Easyguide to Research Design and SPSS (Easyguide Series)

An Easyguide to Research Design and SPSS (Easyguide Series)

By: Dennis M. Goff (author), Beth M. Schwartz (author), Janie H. Wilson (author)Paperback

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An EasyGuide to Experimental Design and SPSS is a handbook that provides clear and concise guidance for research methods students faced with the many decisions involved in developing the most appropriate strategy to test a hypothesis. By presenting an integrated approach to the choice of design and statistical analysis this handbook helps students connect the choice of experimental design with the choice of an appropriate statistical test for data analyses. The EasyGuide also presents the exact steps to analyze data in SPSS, including ample screenshots. The authors provide a how-to for interpreting the output from SPSS analyses, and they help students format the relevant SPSS output into an APA-style results section.

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About Author

Beth M. Schwartz is the Vice President for Academic Affairs and Provost, and Professor of Psychology at Heidelberg University, in Tiffin, Ohio. She was on the faculty at Randolph College, in Lynchburg, VA for 24 years, where she was the William E. and Catherine Ehrman Thoresen '23 Professor of Psychology and Assistant Dean of the College. She received a BA at Colby College (Maine) and a PhD in cognitive psychology at the State University of New York at Buffalo. Her scholarship focuses on two areas of interest: (a) children's memory development and how this applies to children's eyewitness reports and (b) the scholarship of teaching and learning/pedagogical research. In addition to numerous professional presentations at conferences, she has published many book chapters and articles in a variety of scholarly journals, including the Journal of Higher Education, Ethics and Behavior, Law and Human Behavior, and Applied Developmental Science. She has also edited and coauthored books, including Child Abuse: A Global View (Schwartz, McCauley, & Epstein, 2001), Optimizing Teaching and Learning (Gurung & Schwartz, 2012), and Evidence-Based Teaching for Higher Education (Schwartz & Gurung, 2012). She is a member of the American Psychological Association (APA) and the American Psychological Society and is a Fellow of Division 2 of APA (Society for the Teaching of Psychology). She was an award-winning teacher at Randolph College, where she taught Introduction to Psychology, Research Methods, Cognitive Psychology, and the capstone course. She received the Award for Outstanding Teaching and Mentoring from the American Psych-Law Society, the Gillie A. Larew Award for Distinguished Teaching at Randolph College, the Katherine Graves Davidson Excellence in Scholarship Award from Randolph College, and the Distinguished Faculty Achievement Certificate from the State Council of Higher Education for Virginia. Janie H. Wilson I received my Ph.D. in Experimental Psychology from the University of South Carolina in 1994. Since that time, I have been teaching and conducting research at Georgia Southern University. In the classroom, I specialize in teaching and learning in statistics and research methods. Research interests include rapport in teaching based on empirical data on the first day of class, electronic communications, interactions with students in a traditional classroom, syllabus design, and the development and validation of the Professor-Student Rapport Scale. Publications include two recent texts with Sage: An EasyGuide to Research Presentations and An EasyGuide to Research Design and SPSS. I have had the pleasure to contribute numerous chapters to edited books and have co-edited several books related to teaching and learning. I publish extensively on the scholarship of teaching and learning and have offered over 60 conference presentations, including several invited keynote addresses. For 2016, I am honored to serve as the President of Division Two of APA. My primary initiative is sharing the science of psychology with students and the general community. Dennis M. Goff (PhD, Virginia Tech) is currently the Charles A. Dana Professor of Psychology at Randolph College. An award-winning instructor, recognized with both the Katherine Graves Davidson Award and the Randolph College Gillie A. Larew Distinguished Teaching Award, Goff's research interests cover a wide spectrum of psychology-from animal models of learning and physiological control of motivated behaviors to the role of prenatal testosterone levels as predictors of behavior in children and adults. Dr. Goff teaches a number of courses at Randolph College, including developmental psychology, senior research capstone courses, and applied statistics, which he has been teaching for over two decades.


Section 1: Overview Basic Design Decisions Chapter 1: Marriage - 'Til Death Do Us Part We Want to Help Basic Steps of Research Chapter 2: The Two Faces of Correlation Correlation as a Research Design Correlations as a Statistic Chapter 3: Why Your Type fo Data Really Does Matter: Nominal, Ordinal, Interval, or Ratio Nominal Data Ordinal Data Interval Data Ratio Data Chapter 4: To KISS (Keep It Simply Student) or to Complicate Matters: Nominal Data How Many Variables Should I Include? How Many Participants Should I Include How Many Independent Variables ( IVs) Should I Include Including More Than One Independnt Variables (IV) Choosing the Number of Levels of Each Variable Choosing Your Dependent Variables (DVs) Avoiding the Un-Measurable Dependent Variables (DVs) How Many Dependent Variables (DVs) To Include Section II: Your Basic SPSS Tool Box Chapter 5: Why SPSS and Not Other Software, Your Calculator, Fingers, or Toes The Structure of SPSS Chapter 6: SPSS Data Hygiene: Columns, and Labels, and Values...Oh My. When to Create Your Data File: Yes Even Before Data Collection Setting Up Your Data File Naming and Labeling Your Variables How to Keep Track and Remember the Details of Your Data File Creating New Variables in Your Data File: Transformations Conducting Analyses With Only Parts of Your Collected Data Chapter 7: Tell Me About It: Descriptive Statistics Describing Nominal Data Describing Ordinal Data Describing Interval of Ratio Data Describing Data with Two Samples Section III: Designs, Statistics, Interpretaion, and Write-Up in APA Style Chapter 8: Celebrate Your Independence!: Between-Groups Designs One IV, Two Levels Between Groups with 2 Levels of an IV Independent-Samples T-Test with a Pseudo-IV Between Groups with More than 2 Levels of an IV Chapter 9: Everybody Plays!: Repeated-Measures Designs One Independent Variable (IV) with Two-Levels Expanding the Number of Levels for Your Independent Variable Adding Another Factor: Within-Subjects Factorial Designs Chapter 10: Complicating Matters: Advanced Research Designs Mixed Designs: One Between Variable and One Repeated-Measures A Multivariate Design: Measuring It All Including More Than One Dependent Variable In Your Design ANCOVA Chapter 11: How do I know if That Relationship is Real? Correlations Correlational Design: Two Variables Interpreting Pearson's r Analyzing Your Data Prediction with Two Variables: Simple Linear Regression Prediction with Several Variables: Multiple Linear Regression Chapter 12: Statistics Charades: Two Variables, Two it a Chi Square? I Only Have One Question One-way Chi Square With More Than Two Levels Now I Only Have Two Questions Section IV: Summary Chapter 13: Mapping Your Decisions: You Can Get There From Here Making Basic Decisions About Your Design Data with Distinct Groups Interval or Ratio Data with Many Levels Chapter 14: Sample Results Sections for Each Type of Design Independent-Samples T-Test (True IV) Independent-Samples T-Test (Pseudo-IV) One-Way, Between-Groups ANOVA (True IV) Paired-Samples T-Test One-Way, Within-Groups (Repeated-Measures) ANOVA Two-Way, Within-Groups (Repeated-Measures) ANOVA Pearson's r Correlation Pearson's r Correlation and Regression One-Way ?2 Two-Way ?2 Chapter 15: Did I do that? Taking Advice From the Experts Questions About Research Design Questions About Analyzing Your Data Questions About Interpreting Your Data and Presenting Your Results When Interpreting Your Data

Product Details

  • publication date: 24/04/2014
  • ISBN13: 9781452288826
  • Format: Paperback
  • Number Of Pages: 296
  • ID: 9781452288826
  • weight: 481
  • ISBN10: 1452288828

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