BackIntroduction to Psychology: Perspectives, Methods, and Research
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Introduction to Psychology
Historical Background
Psychology originated as a branch of philosophy, with ancient Greeks contemplating the mind and behavior. It became a formal scientific discipline in the late 19th century.
Wilhelm Wundt: Established the first psychology lab in 1879, focusing on the structure of the mind using introspection.
Introspection: The process of examining one's own conscious thoughts and feelings.
Theoretical Perspectives in Psychology
Structuralism
Structuralism aimed to understand the structure and characteristics of the mind through introspection.
Wilhelm Wundt and E.B. Titchener: Key founders.
Emphasized systematic observation to study consciousness.
Functionalism
Functionalism focused on the purpose of cognitive processes and behavior.
William James: First American psychologist, established functionalism.
Influenced by the theory of natural selection.
Psychoanalytic Perspective
Psychoanalysis emphasizes the influence of unconscious processes on behavior.
Sigmund Freud: Founder.
Studied hysteria and neurosis.
Unconscious and early childhood experiences are central.
Behaviorism
Behaviorism focuses on observable behavior and its control.
John B. Watson: Major proponent.
Rejected introspection; emphasized objective study.
Cognitive Perspective
Cognitive psychology studies mental processes underlying thinking and interpretation.
Piaget and Neisser: Key figures.
Thinking affects behavior; focus on interpretation rather than reward/punishment.
B.F. Skinner
Expanded behaviorism to include the role of reinforcement and punishment in shaping behavior (operant conditioning).
Women in Psychology
Social prejudice hindered women's participation.
Women underrepresented in faculty and leadership positions.
Scientific Method in Psychology
Overview
The scientific method is a systematic way of learning about the world through observation, theory, and testing.
(1) Identify question of interest
(2) Formulate explanation
(3) Carry out research to support/refute
Scientific Theory
Theory: An explanation for a large number of findings in the natural world.
Hypothesis: A testable prediction about processes that can be observed and measured.
Hypotheses must be falsifiable: must be precise enough that it could be proven false.
Bias Awareness
Confirmation bias: Tendency to seek evidence that supports our hypothesis and ignore contrary evidence.
Belief perseverance: Tendency to stick to initial belief even when evidence is contradictory.
Psychological Pseudoscience
Pseudoscience involves claims that appear scientific but lack supporting evidence.
Emotional reasoning fallacy: Using emotions rather than evidence.
Bandwagon fallacy: Assuming something is true because many people believe it.
Not me fallacy: Believing others are biased, but not oneself.
Dangers of Pseudoscience
Opportunity cost: Wasting time, energy, or effort on ineffective treatments.
Direct harm: Some pseudoscientific practices can cause harm.
Blocks critical thinking: Prevents evaluation of claims using scientific methods.
Critical Thinking
Key to scientific method: thinking critically and scientifically, evaluating claims open-mindedly.
Modern Psychology: Types and Branches
Experimental Psychology
Focuses on research and laboratory studies.
Clinical Psychology
Assessment, diagnosis, and treatment of psychological disorders.
Science-practitioner model.
Branches of Psychology
Neuropsychology
Child/developmental psychology
Forensic psychology
Research Methods in Psychology
Facilitated Communication
A controversial technique in which a facilitator provides physical support to a non-speaking person, enabling communication. Lacks scientific support.
Research Questions
Common sense assumptions
Solving real-world problems
Understanding how something works
Populations vs. Samples
Population: Entire group of interest.
Sample: Subset of the population.
Random Selection
Key for generalizability; ensures every person has an equal chance of being selected.
Operational Definition
Translating research questions into specific, testable procedures that can be measured or observed.
The Methods Toolbox
1. Naturalistic Observation
Watching behavior in a natural/real-world setting.
Advantages | Disadvantages |
|---|---|
High external validity (generalizable) Rich, detailed information Sometimes the only possible option | Lack of control Time and resource consuming Observer bias Cannot draw cause & effect conclusions |
Example: Observing university students using laptops in class for non-class related reasons.
2. Case Study
An in-depth analysis of a single person or setting, providing detailed descriptive accounts.
Qualitative data: Useful for rare, unusual, or noteworthy phenomena.
Example: Brain injuries, medical/clinical diagnosis, rare diagnosis.
Advantages | Disadvantages |
|---|---|
Rich, detailed descriptions and data Sometimes the only possible method | Low external validity Researcher bias |
3. Self-Report/Survey Method
Participants describe their behaviors, attitudes, views, or experiences.
Assumes honesty and meaningful responses.
Response bias: Tendency to respond inaccurately or untruthfully.
Social desirability: Tendency to present oneself in a positive light.
Evaluating Measurement
Reliability
Consistency of measurement.
Test-retest reliability: Correlation between scores at different time points.
Inter-rater reliability: Consistency between different raters.
Validity
Extent to which a measure assesses what it claims to measure.
A test can be reliable but not valid.
Correlational (Non-Experimental) Methods
Correlation
Examines the strength of relationship between variables.
Variables observed, not manipulated.
Correlation coefficient range: to (positive, negative, or zero).
Higher value means stronger relationship.
Example: Correlation between texting and relationship drama, video games and aggression.
Correlation vs. Causation
Correlation does not imply causation.
Possible relationships: , , .
Third variables/confounds may influence both variables.
Advantages and Disadvantages of Correlational/Non-Experimental Designs
Advantages | Disadvantages |
|---|---|
Can establish trends across large amounts of data Good for describing behavior Can be used to predict future behavior | Cannot infer causal direction Third-variable problem (confounding variable) |
Experimental Research
Experimental Designs
Focus on determining causal influence between variables.
At least one variable is manipulated, one is measured or observed.
Random assignment of participants to experimental or control group.
Variables
Independent variable (IV): Manipulated by researcher.
Dependent variable (DV): Measured by researcher; affected by changes in IV.
Experimental Research Example
Does listening to music improve test performance?
Operationalization: At least two levels/conditions (e.g., music vs. no music).
Comparison group (e.g., placebo).
Internal and External Validity
Internal validity: Degree to which a study is conducted so that the IV caused changes in the DV.
External validity: Degree to which findings generalize to other settings.
Confound: Variable not of interest that varies with the IV, threatening internal validity.
Stanford Marshmallow Experiment
Delay of gratification test in preschoolers.
Results: Delay times were significantly affected by experimental conditions.
Delay time related to later outcomes (SAT scores, BMI, etc.), but findings are not always consistent across SES groups.
Pitfalls of Experiments
Expectancy effect: Changes in participants' behavior caused by expectations of researcher/observer.
Demand characteristics: Cues that lead participants to guess the purpose of the study and adjust behavior accordingly.
Ethical Guidelines for Human Research
Informed consent
Protection from harm and discomfort
Deception and debriefing
Special populations (e.g., minors) require assent and additional protections.
Summary Table: Research Methods
Method | Advantages | Disadvantages |
|---|---|---|
Naturalistic Observation | High external validity, rich data | Lack of control, observer bias |
Case Study | Rich, detailed data | Low external validity, researcher bias |
Self-Report/Survey | Efficient, can collect large data | Response bias, social desirability |
Correlational | Can describe/predict behavior | Cannot infer causation, confounds |
Experimental | Can infer causation, control variables | May lack external validity, ethical limits |
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Tables and lists reconstructed for clarity and study purposes.