Solution Manual for Research Methods for the Behavioral Sciences, 3rd Edition, Gregory J. Privitera
Product details:
- ISBN-10 : 1544309813
- ISBN-13 : 978-1544309811
- Author: Gregory J. Privitera
Research Methods for the Behavioral Sciences, Third Edition employs a problem-focused approach to present a clear and comprehensive introduction to research methods. Award-winning teacher, author, and advisor Gregory J. Privitera fully integrates the research methods decision tree into the text to help students choose the most appropriate methodology for the research question they are seeking to answer. Speaking to readers directly, Privitera empowers students to view research methods as something they can understand and apply in their daily lives.
Table contents:
- SECTION I • SCIENTIFIC INQUIRY
- Chapter 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 Pseudoscience
- Chapter 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 Bias
- Chapter 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 Integrity
- SECTION II • DEFINING AND MEASURING VARIABLES, SELECTING SAMPLES, AND CHOOSING AN APPROPRIATE RESEARCH DESIGN
- Chapter 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 Gauge for Fraud?
- 4.9 SPSS in Focus: Entering and Coding Data
- Chapter 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 Test
- Chapter 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, Experimentation, and Realism
- 6.9 A Final Thought on Validity and Choosing a Research Design
- SECTION III • NONEXPERIMENTAL RESEARCH DESIGNS
- Chapter 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: Influencing 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 Bias
- Chapter 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 Surveys
- Correlational 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 Regression
- SECTION IV • QUASI-EXPERIMENTAL AND EXPERIMENTAL RESEARCH DESIGNS
- Chapter 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 Innovation
- Chapter 10 • Between-Subjects Experimental Designs
- 10.1 Conducting Experiments: Between-Subjects Design
- 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 Design
- Chapter 11 • Within-Subjects 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 Design
- 11.10 Comparing Between-Subjects and Within-Subjects Designs
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