An EasyGuide to Research Design & SPSS
Häftad, Engelska, 2018
949 kr
Produktinformation
- Utgivningsdatum2018-06-15
- Mått152 x 228 x 16 mm
- Vikt520 g
- FormatHäftad
- SpråkEngelska
- SerieEasyGuide Series
- Antal sidor312
- Upplaga2
- FörlagSAGE Publications
- ISBN9781506385488
Tillhör följande kategorier
Beth M. Schwartz is the Provost and Professor of Psychology at Endicott College. Previously she served as Vice President for Academic Affairs and Provost and Professor of Psychology at Heidelberg University, in Tiffin, Ohio. Dr. Schwartz started her career on the faculty at Randolph College (founded as Randolph-Macon Woman′s College) in Lynchburg, VA, where she served for 24 years. At Randolph 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 the scholarship of teaching and learning/pedagogical research, in particular the issues surrounding academic integrity and honor systems. 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 Wilson received her PhD in Experimental Psychology from the University of South Carolina in 1994. Since that time, she has been teaching and conducting research at Georgia Southern University. In the classroom, Dr. Wilson specializes 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. Recent publications include two brief texts with SAGE: An EasyGuide to Research Presentations and An EasyGuide to Research Design and SPSS. Along with her colleague, Shauna Joye, she recently published Research Methods and Statistics: An Integrated Approach with SAGE. Dr. Wilson has contributed numerous chapters to edited books and has co-edited several books related to teaching and learning. She has published extensively on the scholarship of teaching and learning and has offered over 60 conference presentations, including several invited keynote addresses. Dr. Wilson is the Past President of the Society for the Teaching of Psychology (STP), Division Two of APA. Dennis M. Goff received his PhD in Experimental Psychology from Virginia Tech in 1985. He has been teaching and conducting research at Randolph College (formerly Randolph-Macon Woman’s College) since 1986. He specializes in teaching and learning in statistics and developmental psychology with a burgeoning interest in evolutionary psychology. In the past 27 years, he has mentored hundreds of senior psychology majors as they completed their independently designed research projects. In recent years, all of those seniors have presented their work at regional conferences, and a few have earned recognition for best undergraduate research projects. He is a Fellow of the Association for Psychological Science. He has been recognized at Randolph by being named a Charles A. Dana Professor of Psychology and given the Gillie A. Larew Award for Teaching Excellence and the Katherine Graves Davidson Award for Excellence in Promoting the College.
- PrefaceAbout the AuthorsSECTION I. OVERVIEW OF BASIC DESIGN DECISIONS1. The Marriage of Stats and Methods: ’til Death Do They PartWe Want to HelpBasic Steps of ResearchSummary2. Nominal, Ordinal, Interval, or Ratio: Why Your Type of Data Really Does MatterNominal DataOrdinal DataInterval DataRatio DataSummary3. Designing Your Hypothesis: To KISS (Keep It Simple, Student) or to Complicate MattersHow Many Variables Should I Include?How Many Participants Should I Include?How Many Independent Variables Should I Include?Including More Than One Independent VariableChoosing the Number of Levels of Each VariableChoosing Your Dependent VariablesAvoiding the Unmeasurable Dependent VariablesHow Many Dependent Variables to IncludeSummarySECTION II. YOUR BASIC SPSS TOOLBOX4. Why SPSS and Not Other Software, Your Calculator, Fingers, or Toes5. Handling Your Data in SPSS: Columns, and Labels, and Values . . . Oh My!The Structure of SPSSWhen to Create Your Data File: Yes, Even Before Data CollectionSetting Up Your Data FileImporting DataNaming and Labeling Your VariablesHow to Keep Track and Remember the Details of Your Data FileCreating New Variables in Your Data File: TransformationsCalculating a Total or Mean ScoreRecording VariablesConducting Analyses With Only Part of Your Collected Data: Split File and Select CasesSummary6. Descriptive Statistics: Tell Me About ItDescribing Nominal DataDescribing Ordinal DataDescribing Interval or Ratio DataDescribing Data With Two SamplesSummarySECTION III. DESIGNS, STATISTICS, INTERPRETATION, AND WRITE-UP IN APA STYLE7. Between-Groups Designs: Celebrate Your Independence!One IV, Two LevelsBetween Groups With Two Levels of an IVIndependent-Samples t-Test With a Quasi-IVBetween Groups With More Than Two Levels of an IVBetween Groups With More Than One IVSummary8. Repeated-Measures Designs: Everybody Plays!One Independent Variable With Two LevelsExpanding the Number of Levels for Your Independent VariableAdding Another Factor: Within-Subjects Factorial DesignsSummary9. Advanced Research Designs: Complicating MattersMixed Designs: One Between Variable and One Repeated-Measures VariableA Multivariate Design: Measuring It All Including More Than One Dependent Variable in Your DesignANCOVASummary10. Correlational Analysis: How Do I Know If That Relationship Is Real?Correlational Analysis: Two VariablesPrediction With Two Variables: Simple Linear RegressionPrediction With Several Variables: Multiple Linear RegressionSummary11. Chi Square: Staying on the Same FrequencyWhat Do You Expect?One-Way Chi Square With More Than Two LevelsTwo-Way Chi SquareSummary12. How Many Participants Do You Need? More Power to You!Finding Power in SPSS’s General Linear ModelUsing G*Power to Find PowerPlanning Sample Sizes for Your Future ResearchSummarySECTION IV. A SUMMARY13. Mapping Your Decisions: You Can Get There From HereMaking Basic Decisions About Your DesignData With Distinct GroupsInterval or Ratio Data With Many LevelsSummary14. APA Results Sectionst-Test for Independent Samples (True IV)t-Test for Independent Samples (Pseudo-IV)One-Way ANOVA for Independent Groups (True IV)t-Test for Correlated SamplesOne-Way ANOVA for Correlated Groups (Repeated Measures)Factorial ANOVA for Correlated Groups (Repeated Measures)Factorial ANOVA for Mixed GroupsFactorial ANOVA for Independent GroupsAnalysis of CovariancePearson’s r CorrelationPearson’s r Correlation and Simple RegressionOne-Way c2Two-Way c215. Frequently Asked Questions: Did I Do That?Questions About Research DesignQuestions About Analyzing Your DataQuestions About Interpreting Your Data and Presenting Your ResultsSummaryGlossaryIndexReferences
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