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Introduction to Psychology: Theoretical Perspectives, Scientific Methods, and Research Approaches

Study Guide - Smart Notes

Tailored notes based on your materials, expanded with key definitions, examples, and context.

Week 1: Introduction to Psychology

Overview of Psychology

Psychology originated as a branch of philosophy, with ancient Greeks contemplating the mind. The formal study of psychology began 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 thoughts and feelings.

Theoretical Perspectives in Psychology

  • Structuralism

    • Founded by Wilhelm Wundt and E.B. Titchener.

    • Emphasized systematic observation to study consciousness.

    • Focused on understanding the structure and characteristics of the mind.

  • Functionalism

    • Founded by William James, the first American psychologist.

    • Focused on the purpose of cognitive processes and their role in behavior.

    • Influenced by the theory of natural selection.

  • Psychoanalytic Perspective

    • Founded by Sigmund Freud.

    • Emphasized the role of unconscious motives and early childhood experiences.

    • Used techniques such as dream analysis.

  • Behaviorism

    • Founded by John B. Watson.

    • Focused on observable behavior, rejecting introspection.

    • Major figures: B.F. Skinner (operant conditioning).

  • Cognitive Perspective

    • Key figures: Piaget and Neisser.

    • Emphasizes mental processes underlying thinking and interpretation.

    • Thinking affects behavior, focusing on interpretation rather than reward/punishment.

Women in Psychology

  • Social prejudice hindered women's participation.

  • Women were excluded from graduate programs and underrepresented in faculty positions.

  • Male professors earn more than female counterparts in Canada.

Scientific Method in Psychology

The scientific method is a systematic way of learning about the world through observation, developing theories, and making predictions.

  1. Identify question of interest

  2. Formulate explanation

  3. Carry out research to support/refute

Scientific 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: able to be proven false.

  • Example: The bystander effect hypothesis (the more people present at an accident, the lower the response rate).

Bias Awareness

  • Confirmation bias: Tendency to seek evidence that supports our hypothesis and neglect contrary evidence.

  • Belief perseverance: Tendency to stick to initial belief even when evidence is contradictory.

Psychological Pseudoscience

  • Pseudoscience involves claims that seem scientific but lack defenses from bias.

  • Common logical fallacies:

    • Emotional reasoning fallacy: Using emotions rather than evidence.

    • Bandwagon fallacy: Believing something is true because many people do.

    • Not me fallacy: Believing others have biases, but not oneself.

  • Opportunity cost: Investing time, energy, or effort into questionable treatment.

  • Direct harm: Some pseudoscientific claims can cause direct harm.

Critical Thinking

  • Key to scientific method.

  • Involves thinking critically and scientifically, overcoming biases.

Modern Psychology: Types

  • Experimental psychology: Research focused.

  • Clinical psychology: Assessment, diagnosis, and treatment.

  • Branches: neuropsychology, social/personality psychology, child/developmental psychology, forensic psychology.

Week 2: Research Methods

Facilitated Communication

A controversial and scientifically discredited technique claiming to enable communication for non-speaking persons.

Sources of Research Questions

  • Common sense assumptions

  • Observations in the real world

  • Solving real-world problems

  • Understanding how something works

Populations vs. Samples

  • Population: Entire group of people of interest.

  • Sample: Smaller group drawn from 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.

  • Example: Studying aggression in children.

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, including detailed descriptive accounts of behavior, history, and other factors.

  • Qualitative data: Useful for rare, unusual, or noteworthy phenomena.

Advantages

Disadvantages

Rich, detailed descriptions and data Sometimes the only possible method

Low external validity Researcher bias

Example: Brain injuries, medical/clinical diagnosis, rare diagnosis.

Russell Williams: A Case Study

  • Former distinguished Canadian Colonel

  • In charge of one of largest military bases

  • Crimes: 2006-2010

  • 82 instances of fetish-motivated burglary

3. Self-Report Methods

Collecting data via asking participants to describe their own behaviors, attitudes, views, perceptions.

  • Issues: Assumption that people answer honestly; careless/random responding; misunderstanding questions.

  • Social desirability bias: Tendency to respond inaccurately to present oneself in a positive light.

Reliability and Validity

  • Reliability: Consistency of measurement.

    • Test-retest reliability: Correlation between scores at Time 1 and Time 2.

    • Inter-rater reliability: Consistency between different raters.

  • Validity: Extent to which a measure assesses what it claims to measure.

    • High validity: Accurately measures intended construct.

    • Example: Feline preference scale (Likert scale items).

4. Correlational Research

Examines the strength of relationship between variables. Variables are observed, not manipulated.

  • Correlation coefficient range: to (positive, negative, or zero).

  • Higher values mean stronger relationship.

  • Scatter plots: Visual representation of relationships.

Example: Relationship between texting speed and relationship drama; video games and aggression.

Correlation vs. Causation

  • Correlation does not imply causation.

  • Many possible explanations: A → B, B → A, A & B caused by C.

  • Determining causation requires experimentation.

Third Variables/Confounds

  • Third variable: An outside factor influencing both variables.

  • Example: Kids who are happier than kids without dogs.

Correlational/Non-Experimental Designs: Pros & Cons

Advantages

Disadvantages

Can establish trends across large amounts of data Good for describing behavior Some best to use for ethical reasons

Cannot infer causal direction Third-variable problem (confounding variable)

5. Experimental Research

Research that focuses on determining causal influence between variables.

  • Independent variable (IV): Manipulated by researcher.

  • Dependent variable (DV): Affected by changes in IV; measured by researcher.

  • Random assignment: Participants assigned to experimental or control group.

Experimental Design

  • Internal validity: Relates to how well a study is designed and conducted.

  • External validity: Degree of generalizability.

  • Confound variable: Threatens internal validity.

Stanford Marshmallow Experiment

  • Delay of gratification test.

  • Results: Preschoolers' delay times were significantly affected by experimental conditions.

  • Long-term replication: Delay time related to later outcomes (SAT scores, BMI, etc.).

Pitfalls of Experiments

  • Expectancy effect: Changes in participant behavior caused by expectations of researcher/observer.

  • Demand characteristics: Cues in research setting that lead participants to guess the study's purpose.

Ethical Guidelines for Human Research

  • Informed consent

  • Protection from harm and discomfort

  • Deception and debriefing

When is it OK to Inform?

  • Purely observational research

  • Special populations (e.g., minors or assent)

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

Efficient, can access internal states

Social desirability bias, misunderstanding

Correlational

Trends, large data sets

Cannot infer causation, third-variable problem

Experimental

Can infer causation

May lack external validity, ethical concerns

Key Terms and Concepts

  • Introspection: Examining one's own thoughts and feelings.

  • Structuralism: Study of the structure of the mind.

  • Functionalism: Study of the purpose of mental processes.

  • Psychoanalysis: Study of unconscious motives.

  • Behaviorism: Study of observable behavior.

  • Cognitive Psychology: Study of mental processes.

  • Validity: Accuracy of a measure.

  • Reliability: Consistency of a measure.

  • Correlation coefficient: , ranges from to .

  • Independent variable (IV): Manipulated variable.

  • Dependent variable (DV): Measured outcome.

Additional info: Some explanations and examples have been expanded for clarity and completeness.

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