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Research Methods
in
Psychology
The backbone of every credible psychological claim. Learn how research is designed, conducted, and evaluated, so you know what to trust and what to question.
What You'll Learn
A full semester of research methods in psychology — completed at your own pace, with no deadlines or fixed class times.
What You'll Be Able to Do
- Differentiate between scientific and nonscientific research, understand the scientific method in psychology, and apply it in decision-making processes
- Adhere to ethical standards, obtain informed consent, mitigate research risks, and ensure participant protection
- Design research studies, select appropriate methods, formulate research questions and hypotheses, and conduct literature reviews
- Utilize various data collection techniques, including surveys, content analysis, observational research, and archival data access
- Interpret descriptive and inferential statistics, summarize data, and make inferences from research findings
Major Course Topics
Course chapters and lessons
Research Methods in Psychology has 16 chapters across 57 instructional hours, as listed in the course syllabus. Expand any chapter to see the lessons inside it.
- Chapters
- 16
- Lessons
- 94
- Instructional hours
- 57 hrs
- Semester hours
- 3
Chapter 1
Foundations of Research and the Scientific Method
- 1.1 The Building Blocks of Research
- 1.2 Distinguishing Scientific Inquiry from Nonscientific Approaches
- 1.3 Applying the Scientific Model to Real-World Decisions
- 1.4 Tools and Instruments Used in Psychological Research
- 1.5 Comparing Experimental and Non-Experimental Research
- 1.6 Basic vs. Applied Research: Purpose and Practice
- 1.7 The Goals and Purposes Behind Research
Chapter 2
Ethics and Integrity in Research
- 2.1 Core Principles That Guide Ethical Research
- 2.2 Informed Consent: Standard and Special Cases
- 2.3 Recognizing and Managing Risks to Participants
- 2.4 Maintaining Ethical Standards in Practice
- 2.5 Avoiding Deception in Research
- 2.6 Handling Misconduct and Meeting Legal Obligations
- 2.7 The Role of IRBs in Protecting Research Participants
- 2.8 Ethical Considerations in Animal-Based Research
Chapter 3
Designing and Structuring Research Studies
- 3.1 Setting Up Research and Choosing the Right Method
- 3.2 Formulating Research Questions and Hypotheses
- 3.3 Inductive vs. Deductive Reasoning in Research
- 3.4 Working with Variables in Research
- 3.5 Conducting Literature Reviews and Using Source Materials
- 3.6 The Relationship Between Samples and Populations
- 3.7 Planning Data Collection and Study Structure
- 3.8 Writing and Documenting Research Reports
Chapter 4
Methods of Data Collection in Research
- 4.1 An Overview of Data Collection Approaches
- 4.2 Survey Methods in Social Research
- 4.3 Using Content Analysis and Existing Data Sources
- 4.4 Field Research and Observational Methods
- 4.5 Working with Archival Research Sources
Chapter 5
Non-Experimental Methods and the Study of Variable Relationships
- 5.1 Understanding the Foundations of Non-Experimental Research
- 5.2 Survey Approaches and Patterns in Respondent Behavior
- 5.3 The Nature and Purpose of Correlational Research
- 5.4 Quantifying Relationships Through Correlation Coefficients
- 5.5 Interpreting and Drawing Insights from Correlation Data
- 5.6 Boundaries and Drawbacks of Correlational Studies
Chapter 6
Qualitative Inquiry: Methods for Understanding Human Experience
- 6.1 Getting Started with Qualitative Research
- 6.2 Applying Case Study and Ethnographic Approaches
- 6.3 The Role of Historical Research in Inquiry
- 6.4 Building Theory from the Ground Up: The Grounded Theory Approach
- 6.5 Capturing Lived Experience: The Phenomenological Method
Chapter 7
Designing Studies Across Time: Quasi-Experimental Approaches
- 7.1 Defining and Understanding Quasi-Experimental Designs
- 7.2 Working with Ex Post Facto Research
- 7.3 Tracking Change: Longitudinal and Cross-Sectional Methods
- 7.4 The Logic of Pretest-Posttest Designs
- 7.5 How Time Shapes Research Design Choices
Chapter 8
The Science of Sampling: Selecting Participants for Research
- 8.1 The Core Principles Behind Sampling
- 8.2 Linking Population, Sample, and Generalization
- 8.3 Probability vs. Non-Probability Sampling Approaches
- 8.4 Recognizing Common Sampling Challenges
- 8.5 Determining the Appropriate Sample Size
Chapter 9
Measuring What Matters: Reliability and Validity in Research
- 9.1 Foundations of Measurement: Qualitative and Quantitative Approaches
- 9.2 From Abstract Concepts to Operational Definitions
- 9.3 Variables and the Levels at Which They Are Measured
- 9.4 Exploring the Different Categories of Research Tests
- 9.5 The Various Forms of Measurement Used in Research
- 9.6 Strengthening the Reliability of Measurement Tools
- 9.7 Understanding the Validity of Measurement
- 9.8 The Interplay Between Reliability and Validity
Chapter 10
Safeguarding Causal Conclusions: Threats Within a Study
- 10.1 What Internal Validity Means in Research
- 10.2 Spotting Extraneous and Confounding Variables
- 10.3 Physical and Researcher Influences on Internal Validity
- 10.4 Participant-Related Factors That Affect Internal Validity
- 10.5 Internal Threats: History, Instrumentation, Mortality, Regression, and Testing
- 10.6 Internal Threats: Selection, Maturation, and Their Combined Effects
- 10.7 Techniques for Controlling Extraneous Variables
Chapter 11
Beyond the Study: Generalizing Findings to the Real World
- 11.1 Building Blocks and Requirements of External Validity
- 11.2 Why Generalization Matters in External Validity
- 11.3 External Threats: Sample and Stimulus Considerations
- 11.4 External Threats: Novelty, Reactivity, and Experimental Settings
- 11.5 Practical Strategies to Boost External Validity
Chapter 12
Building Blocks of Experimentation: Core Design Strategies
- 12.1 The Essential Elements of Experimental Design
- 12.2 Why Random Assignment Matters
- 12.3 The Purpose and Power of Control Groups
- 12.4 Setting Up Two-Group Experiments
- 12.5 The Logic Behind Matched-Group Designs
- 12.6 Designing Studies with Multiple Groups
- 12.7 Getting Started with Factorial Designs
Chapter 13
Complex Experimental Frameworks for Modern Research
- 13.1 Different Variations of Factorial Designs
- 13.2 Making Sense of Interactions in Factorial Designs
- 13.3 Recognizing Main Effects in Factorial Studies
- 13.4 Applying Multivariate Experimental Designs
- 13.5 Working with Within-Subject Designs
- 13.6 Strategies for Managing Carryover Effects
- 13.7 The Role of Small-n Designs in Research
Chapter 14
Summarizing Data: The Power of Descriptive Statistics
- 14.1 Getting Started with Descriptive Statistics and Frequency Distributions
- 14.2 Measuring the Center: Mean, Median, and Mode
- 14.3 Measuring the Spread: Range, Variance, and Standard Deviation
Chapter 15
Drawing Conclusions from Data: Statistical Inference in Practice
- 15.1 The Building Blocks of Inferential Statistics
- 15.2 Testing Hypotheses and Establishing Statistical Significance
- 15.3 Deciding Between One-Tailed and Two-Tailed Tests
- 15.4 A Closer Look at Chi-Square and t-Tests
- 15.5 Comparing Multiple Groups with ANOVA
Chapter 16
Making Meaning of Results: Evaluation and Interpretation
- 16.1 Strategies for Evaluating Research Findings
- 16.2 Acknowledging the Boundaries of Generalization
- 16.3 Interpreting Non-Significant Results in Research
These chapters come straight from the official course syllabus, which also sets out the graded assignment and the proctored final exam.
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The backbone of every credible psychological claim. Learn how research is designed, conducted, and evaluated, so you know what to trust and what to question.
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Structured lessons covering every topic — designed as a standard Research Methods in Psychology college-level course.
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