The Second Edition of the award-winning Research Methods for the Behavioral Sciences employs a problem-focused approach that fully integrates the decision tree—from choosing a research design to conducting statistical analysis and communicating results. With a conversational, student-friendly writing style, Gregory J. Privitera shows how methods and analysis work together and enable the testing of hypotheses through use of the scientific method. Outstanding pedagogy, current examples, and robust resources empower students to approach their study and application of research methods with confidence.
|Edition description:||Second Edition|
|Product dimensions:||8.00(w) x 10.00(h) x (d)|
About the Author
Gregory J. Privitera is an associate professor of psychology at St. Bonaventure University. Dr. Privitera received his Ph D in behavioral neuroscience in the field of psychology at the State University of New York at Buffalo. He went on to complete postdoctoral research at Arizona State University before beginning his tenure at St. Bonaventure University. He is an author of multiple books on statistics, research methods, and the psychology of eating, in addition to authoring over two-dozen peer-reviewed scientific articles aimed at advancing our understanding of health and promoting the intake of healthier diets for children and adults. He oversees a variety of undergraduate student research projects at St. Bonaventure University where over two-dozen students, many of whom are now earning graduate degrees at various institutions, have coauthored research in his laboratories. For his research work, Dr. Privitera was recognized by St. Bonaventure University as Advisor of the Year in 2013, and awarded an Early Career Psychologist award by the American Psychological Association in 2015. For his work with students and fruitful record of teaching, Dr. Privitera was recognized in 2014 with the Award for Professional Excellence in Teachingthe highest teaching award at St. Bonaventure University. The first edition of this text was a recipient of the “Most Promising New Textbook” National Award from the Text and Academic Authors Association. In addition to his teaching, research, and advisement, Dr. Privitera is a veteran of the U.S. Marine Corps, and is married with two children: a daughter, Grace, and a son, Aiden. Dr. Privitera is also the author of Statistics for the Behavioral Sciences, 2nd Edition.
Table of Contents
SECTION I: SCIENTIFIC INQUIRYChapter 1: Introduction to Scientific Thinking 1.1 Science as a Method of Knowing 1.2 The Scientific Method 1.3 Other Methods of Knowing 1.4 The Goals of Science 1.5 Approaches in Acquiring Knowledge 1.6 Distinguishing Science from PseudoscienceChapter 2: Generating Testable Ideas 2.1 Generating Interesting and Novel Ideas 2.2 Converting Ideas to Hypotheses and Theories 2.3 Developing Your Idea: Deduction and Induction 2.4 Performing a Literature Review 2.5 Ethics in Focus: Giving Proper Credit 2.6 The "3 Cs" of an Effective Literature Review 2.7 Testing Your Idea: Confirmation and Disconfirmation 2.8 Ethics in Focus: Publication BiasChapter 3: Research Ethics 3.1 Ethics in Behavioral Research 3.2 The Need for Ethics Committees in Research: A Historical Synopsis 3.3 Ethics in Focus: Examples from Psychology 3.4 Human Participant Research: IRBs and the APA Code of Conduct 3.5 Ethics in Focus: Anonymity and Confidentiality 3.6 Animal Subject Research: IACUCs and the APA Code of Conduct 3.7 Additional Ethical Considerations: Scientific IntegritySECTION II: DEFINING AND MEASURING VARIABLES, SELECTING SAMPLES, AND CHOOSING AN APPRORPRIATE RESEARCH DESIGNChapter 4: Identifying Scientific Variables 4.1 Criteria for Defining and Measuring Variables 4.2 Constructs and Operational Definitions 4.3 Types of Variables 4.4 Scales of Measurement 4.5 Reliability of a Measurement 4.6 Validity of a Measurement 4.7 Selecting a Measurement Procedure 4.8 Ethics in Focus: REplication as a Guage for Fraud? 4.9 SPSS in Focus: Entering and Coding DataChapter 5: Sampling From Populations 5.1 Why Do Researchers Select Samples? 5.2 Subjects, Participants, and Sampling Methods 5.3 Methods of Sampling: Nonprobability Sampling 5.4 Methods of Sampling: Probability Sampling 5.5 Sampling Error and Standard Error of the Mean 5.6 SPSS In Focus: Estimating the Standard Error of the Mean 5.7 Potential Biases in Sampling 5.8 Ethics in Focus: Participant Pools 5.9 SPSS in Focus: Identifying New Populations Using the One-Sample t-TestChapter 6: Choosing a Research Design 6.1 Designing a Study to Answer a Question 6.2 Categories of Research Design 6.3 Internal and External Validity 6.4 Demonstrating Cause in an Experiment 6.5 Ethics in Focus: Beneficence and Random Assignment 6.6 Threats to the Internal Validity of a Research Study 6.7 Threats to the External Validity of a Research Study 6.8 External Validity, Experimention, and Realism 6.9 A Final Thought on Validity and Choosing a Research DesignSECTION III: NONEXPERIMENTAL RESEARCH DESIGNSChapter 7: Naturalistic, Qualitative, and Existing Data Research Designs Naturalistic Observation 7.1 An Overview of Naturalistic Observation 7.2 The Research Setting: Natural and Contrived Settings 7.3 Techniques for COnducting Naturalistic Observation 7.4 Ethics in Focus: Influence Participant Behavior Qualitative Designs 7.5 An Overview of Qualitative Designs 7.6 Qualitative Research Designs 7.7 Ethics in Focus: Anonymity in Qualitative Research Existing Data Designs 7.8 An Overview of Existing Data Designs 7.9 Existing Data Designs 7.10 Ethics in Focus: Existing Data and Experimenter BiasChapter 8: Survey and Correlational Research Designs Survey Designs 8.1 An Overview of Survey Designs 8.2 Types of Survey Items 8.3 Rules for Writing Survey Items 8.4 Administering Surveys 8.5 Surveys, Sampling, and Nonresponse Bias 8.6 Ethics in Focus: Handling and Administering SurveysCorrelational Designs 8.7 The Structure of Correlational Designs 8.8 Describing the Relationship Between Variables 8.9 Limitations in Interpretation 8.10 Correlation, Regression, and Prediction 8.11 SPSS in Focus: Correlation and Linear RegressionSECTION IV: QUASI-EXPERIMENTAL AND EXPERIMENTAL RESEARCH DESIGNSChapter 9: Quasi-Experimental and Single-Case Experimental Designs Quasi-Experimental Designs 9.1 An Overview of Quasi-Experimental Designs 9.2 Quasi-Experimental Design: One-Group Designs 9.3 Quasi-Experimental Design: Nonequivalent Control Group Designs 9.4 Quasi-Experimental Design: Time Series Designs 9.5 Quasi-Experimental Design: Developmental Designs 9.6 Ethics in Focus: Development and Aging Single-Case Experimental Designs 9.7 An Overview of Single-Case Designs 9.8 Single-Case Baseline-Phase Designs 9.9 Validity, Stability, Magnitude, and Generality 9.10 Ethics in Focus: The Ethics of InnovationChapter 10: Between-Subjects Experimental Designs 10.1 Conducting Experiments: Between-Subjects Designs 10.2 Experimental Versus Control Group 10.3 Manipulation and the Independent Variable 10.4 Variability and the Independent Variable 10.5 Ethics in Focus: The Accountability of Manipulation 10.6 Comparing Two Independent Samples 10.7 SPSS in Focus: Two-Independent-Sample t-Test 10.8 Comparing Two or More Independent Samples 10.9 SPSS In Focus: One-Way Between-Subjects ANOVA 10.10 Measuring the Dependent Variable 10.11 Advantages and Disadvantages of the Between-Subjects DesignChapter 11: Within-Subject Experimental Designs 11.1 Conducting Experiments: Within-Subjects Design 11.2 Controlling Time-Related Factors 11.3 Ethics in Focus: Minimizing Participant Fatigue 11.4 Individual Differences and Variability 11.5 Comparing Two Related Samples 11.6 SPSS In Focus: Related-Samples t-Test 11.7 Comparing Two or More Related Samples 11.8 SPSS In Focus: One-Way Within-Subjects ANOVA 11.9 An Alternative to Pre-Post Designs: Solomon Four-Group Designs 11.10 Comparing Between-Subjects and Within-Subjects DesignsChapter 12: Factorial Experimental Designs 12.1 Testing Multiple Factors in the Same Experiment 12.2 Selecting Samples for a Factorial Design in Experimentation 12.3 Types of Factorial Designs 12.4 Ethics in Focus: Participant Fatigue and Factorial Designs 12.5 Main Effects and Interactions 12.6 Identifying Main Effects and Interactions in a Graph 12.7 Including Quasi-Independent Factors in an Experiment 12.8 Reasons for Including Two or More Factors in an Experiment 12.9 Higher-Order Factorial Designs 12.10 SPSS in Focus: General Instructions for Conducting a Factorial ANOVASECTION V: ANALYZING, INTERPRETING, AND COMMUNICATING RESAERCH DATAChapter 13: Analysis and Interpretation: Exposition of Data 13.1 Descriptive Statistics: Why Summarize Data? 13.2 Frequency Distributions: Tables and Graphs 13.3 Measures of Central Tendency 13.4 Measures of Variability 13.5 SPSS In Focus: Central Tendency and Variability 13.6 Graphing Means and Correlations 13.7 Using Correlation to Describe Reliability 13.8 SPSS In Focus: Cronbach's Alpha and Cohen's Kappa 13.9 Ethics in Focus: Deception Due to the Distortion of DataChapter 14: Analysis and Interpretation: Making Decisions About Data 14.1 Inferential Statistics: What Are We Making Inferences About? 14.2 Types of Error and Power 14.3 Parametric Tests: Applying the Decision Tree 14.4 Nonparametric Tests: Applying the Decision Tree 14.5 SPSS In Focus: The Chi-Square Tests 14.6 Effect Size: How Big Is an Effect in the Population? 14.7 Estimation: What Are the Possible Values of a Parameter? 14.8 Confidence Intervals, Significance, and Effect Size 14.9 Issues for Interpretation: Precision and Certainty 14.10 Ethics in Focus: Full Disclosure of DataChapter 15: Communicating Research: Preparing Manuscripts, Posters, and Talks 15.1 Elements of Communication 15.2 Writing a Manuscript: Writing Style and Language 15.3 Elements of an APA-Styles Manuscript 15.4 Literature Reviews 15.5 Reporting Observations in Qualitative Research 15.6 Ethics in Focus: Credit and Authorship 15.7 Presenting a Poster 15.8 Giving a Professional Talk