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Foundations of Psychological Science and Research Methods: Study Guide

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Psychological Science

Five Schools of Psychology

The field of psychology has evolved through several major schools of thought, each with distinct approaches to understanding human behavior and mental processes.

  • Structuralism: Focuses on analyzing the structure of consciousness using introspection. Example: Describing sounds by their quality, loudness, and feelings evoked. Founders: Wundt, Titchener

  • Functionalism: Examines the purpose or function of mental processes and behavior for adaptation. Example: Fear evolved to aid survival (adaptive function). Inspired by: Darwin

  • Behaviorism: Studies observable behavior only, focusing on effects of rewards and punishments. Example: Rat presses lever for food; reinforcement shapes behavior. Founders: Watson, Skinner

  • Psychodynamic: Investigates unconscious drives and repressed childhood conflicts. Example: Therapist helps patient uncover repressed memories influencing current anxiety. Founder: Freud

  • Cognitivism: Explores mental processes like thinking, memory, and decision-making. Example: Child problem-solving strategies; brain as information processor. Founders: Piaget, Miller

Matching Examples from Lecture Scenarios

  • Structuralism: Describe sounds → quality, loudness, feelings + introspection

  • Cognitivism: Child problem-solving changes → brain as information processor → mental processes

  • Psychodynamic: Therapist explores repressed childhood memories → Freud

  • Functionalism: Fear evolved to aid survival + adaptive function

  • Behaviorism: Rat presses lever for food + reinforcement shapes behavior

Research Methods

Types of Relationships

Understanding the relationship between variables is central to psychological research. Relationships can be classified as follows:

  • Positive Correlation: Both variables increase or decrease together (e.g., time spent studying & exam score).

  • Negative Correlation: One variable increases as the other decreases.

  • Zero Correlation: No relationship (e.g., shoe size & exam score).

  • Curvilinear Relationship: Relationship increases then decreases (e.g., number of tennis balls & dog happiness – diminishing returns).

Research Designs

Psychological research employs several key designs, each suited to different types of questions and data.

Method

Definition

Purpose / Example

Naturalistic Observation

Observe behavior in natural setting without interference

Watching door-holding on campus; kids at recess

Case Study

Intensive study of one person / small group

Brain-injury patient; artist Williams; CTE athletes

Survey / Self-Report

Questionnaires / interviews about attitudes / beliefs

Public opinion on climate change

Correlational Design

Examines relationships between variables

Attendance vs grades; does attending lectures relate to exam scores?

Experimental Design

Manipulate independent variable (IV) to determine cause & effect on dependent variable (DV)

Testing "Does lecture attendance cause better exam scores?"

Correlation ≠ Causation: Only experiments can show cause-and-effect because they manipulate variables and use random assignment.

Design Activities (Class Examples)

  • "Love Is Blind" Example:

    • Research Question: Can people fall in love without seeing each other?

    • IV: Visual access (see partner vs not see partner)

    • DV: Relationship outcomes / marriage decision / self-reported closeness

    • Design note: Must manipulate IV and measure DV to qualify as an experiment.

  • "Squid Game" Example:

    • Explores how media uses "social experiment" loosely; real experiments require controlled conditions and ethical consent.

Identifying the Design from Scenarios

Scenario

Correct Method

Observing children at recess

Naturalistic Observation

Tracking one brain-injury patient over time

Case Study

Watching phone use in cafés

Naturalistic Observation

Online questionnaire on climate change beliefs

Survey / Self-Report

Concept Checks & Application Tips

  • Naturalistic Observation: Watch only; no interference.

  • Case Study: In-depth on one subject.

  • Survey: Ask people directly.

  • Correlational: Measure two variables to see if related.

  • Experimental: Actively change something; see effect.

Core Definitions for Research

Variables and Experimental Terms

  • Independent Variable (IV): The variable manipulated by the researcher (cause).

  • Dependent Variable (DV): The variable measured (effect or outcome).

  • Confound: An extraneous variable that may affect the DV, making it difficult to interpret results.

Example Equation:

  • Experimental design:

Study Strategy for the Exam

Recommended Steps

  1. Focus on lecture content only (test is lecture-based).

  2. Review each topic’s core definitions and examples.

  3. Know the five schools and their key differences.

  4. Understand research method terms (IV, DV, confounds, types).

  5. Practice writing short answers: Apply a concept to a new example.

  6. Don’t memorize iClicker questions; focus on concepts.

  7. Apply concepts creatively: Use reality-show examples for method application.

Summary Checklist (Before Exam)

  • Five schools of psychology: key founders and concepts

  • Correlation types (+ / – / zero / curvilinear)

  • Identify research method from scenario

  • IV vs DV vs confound

  • Experimental vs correlational study

  • Ethical considerations (basic awareness)

  • Short answer practice (define + apply)

Sample Questions & Applications

Example Multiple Choice Questions

  • Confirmation Bias: Believing one’s friendship is based on perfect communication despite evidence to the contrary.

  • Positive Correlation: Time spent studying & exam score.

  • Experimental Design: To test if lecture attendance causes better exam performance, use random assignment and manipulate attendance.

Research Method Identification

  • Observing children’s behavior without interference: Naturalistic Observation

  • Studying a single patient’s recovery: Case Study

  • Surveying attitudes via questionnaire: Survey / Self-Report

  • Testing effects of manipulated variables: Experimental Design

Additional info: Some context and examples have been expanded for clarity and completeness, based on standard introductory psychology curriculum.

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