Foundations of Psychology: Scientific Method, History, and Research Principles

Chapter One: Foundations of Psychology and the Scientific Method

1.1 Key Terminology of the Scientific Method

This section introduces essential terms and concepts that underpin scientific inquiry in psychology.

• Psychology: The scientific study of behaviour, thought, and experience, and how these are affected by physical, mental, social, and environmental factors.

• Scientific Method: A systematic way of learning about the world by collecting observations, developing theories to explain them, and using those theories to make predictions.

• Hypothesis: A testable prediction about processes that can be observed and measured. Hypotheses are often stated in plural as hypotheses.

• Pseudoscience: An idea presented as science but lacking basic principles of scientific thinking or procedure.

• Theory: An explanation for a broad range of observations that generates new hypotheses and integrates findings into a coherent whole.

• Biopsychosocial Model: A framework explaining behaviour as a product of biological, psychological, and sociocultural factors.

• Scientific Literacy: The ability to understand, analyze, and apply scientific information.

• Critical Thinking: Exercising curiosity and skepticism when evaluating claims, especially those that challenge our own assumptions and beliefs.

1.1b Understanding the Steps of the Scientific Method

The scientific method is a structured process for generating and testing hypotheses.

• Step 1: Scientific theories generate specific, testable hypotheses.

• Step 2: If a hypothesis is confirmed, new hypotheses may stem from it, and the original theory gains support.

• Step 3: If a hypothesis is rejected, it may be modified and retested, or the original theory may be modified or rejected.

Example: A theory about memory might generate a hypothesis that sleep improves recall. If experiments confirm this, the theory is strengthened; if not, it may be revised.

1.1c Understanding the Concept of Scientific Literacy

Scientific literacy involves the process of thinking critically about scientific information.

• Knowledge Gathering: What do we know about the evidence?

• Scientific Explanation: How can science explain the evidence?

• Critical Thinking: Can we critically evaluate the evidence?

• Application: Why is this relevant?

1.1d Apply the Biopsychosocial Model to Behaviour

The biopsychosocial model integrates biological, psychological, and social factors to explain behaviour.

Biological	Psychological	Social
Genetics, brain chemistry, hormones	Emotions, thoughts, personality	Family, culture, social norms
Physical health, neurobiology	Beliefs, coping skills	Peer influence, socioeconomic status

1.1e Applying Steps of Critical Thinking

Critical thinking is essential for evaluating scientific claims and evidence.

1. Being curious

2. Examining evidence

3. Examining assumptions and biases

4. Avoiding emotional thinking

5. Tolerating ambiguity

6. Considering alternative viewpoints

1.1f Analyze the Use of the Term Scientific Theory

Scientific theories are not mere opinions; they are comprehensive explanations based on evidence.

• Theories integrate numerous findings into a coherent whole.

• Theories are not the same as opinions or beliefs.

• Not all theories are equally plausible.

• The popularity of a theory does not determine its scientific quality.

1.2 Key Terminology of Psychology's History

Understanding the historical perspectives in psychology provides context for current approaches.

• Behaviourism: Focuses on observable behaviour, often excluding mental events.

• Clinical Psychology: Concentrates on diagnosing and treating psychological disorders.

• Cognitive Psychology: Studies processes such as memory, thinking, and problem-solving.

• Determinism: The belief that all events are governed by lawful, cause-and-effect relationships.

• Dualism: The idea that humans have properties that are not material (e.g., mind or soul separate from body).

• Empiricism: The philosophical tenet that knowledge comes through experience.

• Functionalism: Studies the purpose and function of behaviour and conscious experience.

• Gestalt Psychology: Emphasizes holistic perception and experience.

• Humanistic Psychology: Focuses on individual uniqueness and personal growth.

• Localization of Brain Function: Certain brain areas control specific mental abilities and personality traits.

• Materialism: The belief that humans and other living beings are composed exclusively of physical matter.

• Nature and Nurture Relationships: Examines how heredity (nature) and environment (nurture) influence behaviour.

• Personality Psychology: Studies how personality characteristics influence thought and action.

• Psychophysics: Explores how physical energy (e.g., light, sound) relates to psychological experience.

• Social Psychology: Studies the influence of others on behaviour.

• Structuralism: Analyzes conscious experience by breaking it into basic elements.

• Zeitgeist: Refers to the general set of beliefs of a culture at a specific time.

• Intergenerational Trauma: Transmission of negative social and emotional consequences of oppression across generations.

Chapter Two: Principles of Scientific Research

2.1 Principles of Scientific Research

This section covers key terms and concepts essential for understanding scientific research in psychology.

• Anecdotal Evidence: Personal stories or testimony used as evidence, often lacking scientific support.

• Appeal to Authority: Accepting claims based on the status of the claimant rather than supporting evidence.

• Convenience Samples: Samples of individuals who are most readily available.

• Demand Characteristics: Cues that influence how participants are expected to behave.

• Double-blind Study: Neither participant nor experimenter knows the treatment assignment.

• Ecological Validity: The extent to which laboratory findings can be generalized to real-world settings.

• Falsifiable: Hypotheses must be precise enough to be proven false.

• Generalizability: The degree to which results apply to other situations or populations.

• Hawthorne Effect: Behaviour change resulting from being observed.

• Objective Measurements: Measurements that are consistent across instruments and observers.

• Operational Definitions: Definitions of concepts in terms of how they are measured.

• Peer Review: Evaluation of research by experts before publication.

• Placebo Effect: Improvement in health or behaviour not attributable to treatment.

• Population: The group researchers want to generalize about.

• Random Sample: Every individual has an equal chance of being included.

• Reliability: Consistency and stability of measurements.

• Replication: Repeating a study to confirm findings.

• Sample: A subset of the population.

• Single-blind Study: Participants do not know the treatment they receive.

• Social Desirability: Tendency to respond in ways viewed favourably by others.

• Validity: The degree to which a procedure measures what it claims to measure.

• Variable: The object, concept, or event being measured.

2.1b Characteristics of Quality Scientific Research

Quality research is defined by several key characteristics.

1. Objective, valid, and reliable measurements: Ensure consistency and accuracy.

2. Generalizability: Research should apply to broader populations.

3. Bias reduction: Techniques like single- and double-blind procedures help reduce bias.

4. Public findings: Publishing results allows for evaluation and replication.

5. Replicability: Results can be repeated by other researchers.

2.1c How Biases Might Influence Study Outcomes

Biases can affect both participant responses and researcher outcomes.

• Demand Characteristics: Participants may respond in ways they think are expected.

• Researcher Bias: Researchers may unintentionally influence outcomes.

2.2 Key Words in Research Design

Understanding research design terminology is crucial for interpreting psychological studies.

• Between-Subjects Design: Comparing performance of participants in different groups.

• Case Study: In-depth report about a specific case.

• Control Group: Group not receiving treatment, used as a baseline.

• Correlational Research: Measures degree of association between variables.

• Dependent Variable: The measured outcome in an experiment.

• Experimental Group: Group receiving treatment or stimulus.

• Illusory Correlations: Perceived relationships that do not exist.

• Independent Variable: The manipulated variable in an experiment.

• Naturalistic Observations: Observing behaviour in natural settings.

• Qualitative Research: Examining issues without numerical measurements.

• Quantitative Research: Using numerical measurements and statistics.

• Quasi-Experimental Research: Research with groups based on predetermined characteristics.

• Random Assignment: Randomly dividing samples into groups.

• Research Design: Methods for testing hypotheses.

• Self-Reporting: Data provided directly by participants.

• Third Variable Problem: Unmeasured variable may explain correlation.

• Within-Subjects Design: Same participants respond to all conditions.

2.2b Understanding Positive and Negative Correlations

Correlations describe the relationship between variables.

• Positive Correlation: Variables increase or decrease together (e.g., income and education level).

• Negative Correlation: Variables move in opposite directions (e.g., substance abuse and cognitive performance).

2.2c Experiments and Cause-and-Effect Relationships

Experiments use randomization and manipulation of independent variables to show causality.

• Random Assignment: Ensures groups are equivalent at the start.

• Manipulation: Researchers change the independent variable to observe effects.

• Outcome: Differences at the end are attributed to the independent variable.

2.2e Pros and Cons of Descriptive, Correlational, and Experimental Methods

Each research method has advantages and limitations.

• Descriptive Methods: Advantages include detailed observations; limitations include lack of causality.

• Correlational Methods: Show relationships but cannot establish cause and effect.

• Experimental Methods: Can test causality; drawback is limited generalizability to real-world situations.