Chapter 1 Notes – Psychology in Your Life

1.1 Psychology Is a Science That Helps You Understand Your Mental Activity, Behavior, and Brain Processes

  • Psychology definition: the scientific study of mental activity and behavior that depend on brain processing
    • Mind: all mental activity that lets us experience the world; we use our senses to take in information
    • Behavior: actions resulting from sensing and interpreting information
    • Brain: responsible for mental activity and behaviors
  • Psychology as a science
    • Empiricism: conducting research using an objective, evidence-based approach; can contradict people’s original assumptions
  • Intuition/assumption vs empirical evidence
    • Example: People order healthier meals when calories are shown on a fast-food menu
    • Empirical finding: merely seeing calorie information on menus is not related to long-term changes in food purchases at those restaurants
  • Subjective vs Objective psychology
    • Subjective: thoughts on topics that are very personal
    • Objective: impersonal, scientific insight into understanding people’s behaviors and thoughts
  • Summary takeaway: Psychology uses scientific methods to understand mental activity, behavior, and brain processes, balancing intuition with empirical evidence

1.2 Psychology Uses the Science of Learning to Help You Study Better

  • Sciences of learning: applying psychological principles to improve study skills, learning, and academic performance
  • Learning to Learn (IMPACT): a framework/term used to describe applying these principles to study
  • Practicing can improve learning
    • Key idea: practice improves retention and performance
    • Concept illustrated in Figure 1.2 (spacing vs. massed practice): distributed practice tends to produce better long-term recall than massed practice when learning new material
    • Practical implication: space study sessions to enhance durable learning

1.3 Psychology Develops Your Critical Thinking Skills

  • Critical thinking: systematically evaluating information to reach conclusions based on the evidence
  • Three-step framework for critical thinking:
    1) Is the source believable?
    2) Is there strong evidence for the claim?
    3) Do other believable sources agree about the claim?
  • Details for each step
    • 1. Is the source believable?
    • Consider who is providing the information
    • Credible sources in psychology are usually experts with advanced psychology degrees
    • Professionally published scientific journals are credible
    • 2. Is there strong evidence for the claim?
    • Is the evidence empirical?
    • Intuition is personal and not scientific; beliefs are personal; opinions are judgments not necessarily based on evidence
    • 3. Do other believable sources agree about the claim?
    • Do other sources agree on the empirical evidence?
  • Practice prompts: The textbook features “Evaluating Psychology in the Real World” prompts to practice evaluating claims; stop and assess claims using a 3-question framework; a conclusion requires answering Yes to all three questions
  • Learning tip: use the STOP framework to assess claims before accepting them

1.4 Psychology Improves Your Life Personally and Professionally

  • Personal life: applying psychology to everyday life can improve relationships, well-being, decision making, and self-understanding
  • Professional life: employers value understanding people; better communication, teamwork, leadership, and customer/client interactions
  • Implication: psychology has practical benefits across personal and work domains

1.5 Psychologists Investigate Topics Across Five Interconnected Domains

  • Historical note: Experimental psychology began with Wilhelm Wundt in 1879, who established the first psychology laboratory
    • Early methods included reaction-time experiments and introspection
  • The five domains of psychology:
    1) Biological
    2) Cognitive
    3) Developmental
    4) Social and personality
    5) Mental and physical health
  • Cross-domain and interdisciplinary work
    • Some psychologists take interdisciplinary approaches, collaborating with other domain specialists
  • Examples of cross-domain findings:
    • People love K-pop explored across social/personality, cognitive, developmental domains
    • Owning a pet found to improve well-being across mental/physical health and other domains
  • Putting psychology to work: Careers in psychology are in demand across bachelor’s, master’s, and doctoral levels
    • APA data illustrate career opportunities and the value of psychology degrees
    • Chart/data referenced in the source (APA data tool: Careers in Psychology) illustrating demand and pathways

1.6 Psychology Is Becoming More Diverse

  • Diversity definition: characteristics that make people seem different in a given context; includes race, ethnicity, sex, language, religion, gender, age, socioeconomic status, etc.
  • Historical and current diversity of the field
    • Mary Whiton Calkins: one of the first women to earn a psychology PhD (1890)
    • 2019 data: about 70% of psychologists identified as women
    • Francis Cecil Sumner: first Black person in the U.S. to earn a psychology PhD (1920); one of only 11 Black PhDs in any field between 1876–1920
  • Notable scholars and their focus areas (examples from Figure 1.11): Germine H. Awad; Serena Chen; Stephen L. Chew; Lisa M. Diamond; Angela Duckworth; Milton A. Fuentes; Ebony Glover; Patrick R. Grzanka; Jacqueline S. Gray; Lasana T. Harris; Neil A. Lewis, Jr.; Michelle Nario-Redmond; Viji Sathy; Danielle A. Sheypuk; Sanjay Srivastava; Simine Vazire; etc. (illustrating wide diversity of scholars and research topics)
  • Needs in psychology research:
    • 1) Diversity of participants is essential; historically, 96% of psychology research participants lived in Western, industrialized countries, representing only about 12% of the world population
    • 2) Culture influences psychological processes; culture is defined by beliefs, values, rules, and customs of a group sharing language/environment
    • 3) Psychology students are becoming more diverse: 27% people of color in 2004 vs. 44% in 2019
  • Cultural considerations and data interpretation: cross-cultural differences illustrate how perception and cognition can vary across cultures (e.g., Müller-Lyon illusion differences across cultures)

1.7 Psychologists Must Be Ethical in Their Research

  • Ethical responsibilities in research
    • Ethic standards guide right and wrong in conducting research
    • Institutional Review Boards (IRBs): groups reviewing proposed research to ensure it meets scientific standards and protects participants’ physical and emotional well-being
  • Four main ethical issues to address in research:
    1) Privacy: respect participants’ privacy
    2) Confidentiality: keep participants’ information secret
    3) Informed consent: participants must be told about the research and can choose whether to participate
    4) Protection from harm: avoid unreasonable pain or discomfort; evaluate risk/benefit ratio

1.8 The Scientific Method

  • Four goals of science:
    1) Describing what happens
    2) Predicting when it happens
    3) Controlling what causes it to happen
    4) Explaining why it happens
  • Scientific method definition: a systematic procedure of observing and measuring phenomena to answer questions about what happens, when it happens, what causes it, and why
    • Dynamic interaction among theories, hypotheses, and research methods
  • Five steps in the scientific method:
    1) Formulate a theory
    2) Develop a testable hypothesis
    3) Test with a research method
    4) Analyze the data
    5) Share the results and conduct more research
  • Step details:
    • 1) Formulate a theory: theory is an explanation of how some mental process or behavior occurs; literature reviews are used to develop theories
    • 2) Developing a testable hypothesis: a hypothesis is a testable prediction that should be observed if the theory is correct
    • 3) Test with a research method: research is the systematic collection of data to prove or disprove a hypothesis; main methods are descriptive, correlational, and experimental
    • 4) Analyze the data: determine whether a significant effect was found
    • 5) Share the results and conduct more research: avoid cherry-picking; replication is repeating an experiment to confirm results
  • Types of research methods:
    • Descriptive methods: describe what is occurring
    • Correlational methods: examine natural relationships between variables
    • Experimental methods: test causal hypotheses by manipulating the independent variable
  • Other descriptive methods include: Case studies, Observational studies, Self-reports
  • Illustrative note: Figure 1.18 lists these methods; cases, observations, and self-reports are common descriptive approaches

1.9 Descriptive Methods Describe What Is Happening

  • Purpose: provide a systematic and objective description of what is occurring
  • Three types:
    1) Case studies
    2) Observational studies
    3) Self-reports
  • Case studies: intensive examination of a few unique people or organizations; often used for individuals with psychological disorders
  • Observational studies: systematic assessment and coding of observable behavior; can involve interventions or their absence; potential issues include observer bias (researchers) and reactivity (participants)
  • Hawthorne Effect (illustrated within observational context):
    • Hypothesis: being observed changes behavior
    • Method: original workplace study with changes in lighting, pay incentives, or break schedules
    • Result: productivity increased when participants were observed, regardless of the specific changes; conclusion: being observed can alter behavior due to impressions or study participation
  • Self-reports: questionnaires or surveys; allows data collection from many people quickly; must consider self-report bias

1.10 Correlational Methods Reveal Relationships

  • Purpose: examine natural relationships between variables in real-world settings
  • What it does: measure two factors and assess the degree of association; does not manipulate variables and cannot establish causation
  • Key caution: correlation ≠ causation
    • Directionality problem: which variable causes the other? (A → B vs. B → A)
    • Third variable problem: a third variable (C) may influence both A and B (C → A and C → B)
  • Learning takeaway: when interpreting correlations, consider directionality and potential confounding third variables to avoid erroneous causal claims
  • Example provided in text: time spent on Facebook and feelings of depression; relationships can be bidirectional or driven by an unmeasured factor such as social comparison tendencies

1.11 Experimental Methods Test Causation

  • Purpose: test causal hypotheses by manipulating an independent variable and measuring its effect on a dependent variable
  • Key terms:
    • Dependent variable (DV): the outcome measured
    • Independent variable (IV): the variable manipulated by the experimenter
    • Operational definitions: clearly qualify (describe) and quantify (measure) variables so they can be understood objectively
  • Groups in an experiment:
    • Control group: baseline group that receives no intervention or an unrelated one
    • Experimental group: receives the intervention related to the independent variable
  • Role of control: essential to determine causality; proper control minimizes alternative explanations for outcomes
  • Common confounds: any factor that affects the DV and may vary between experimental conditions; sources of error
  • Population and sampling concepts:
    • Population: the general group the researcher wants to know
    • Sampling: process of selecting people from the population to participate
    • Sample: subset of people participating in the study
    • Convenience sample: participants conveniently available (e.g., college students)
    • Random sample: allows generalization of results by giving each population member an equal chance of being included
  • Random assignment: places participants into experimental conditions with equal chance for every level of the IV; helps equate groups and control for confounds
  • Summary of key distinctions:
    • Random sampling addresses generalizability to the population
    • Random assignment addresses equivalence of groups at the start of the experiment
  • Important conceptual formulas (for quick recall):
    • Independent variable manipulation: IVis manipulated by the experimenterIV \text{is manipulated by the experimenter}
    • Dependent variable measurement: DVis the measured outcomeDV \text{is the measured outcome}
    • Equal chance of assignment: P(extassignmenttoalevel)=1NlevelsP( ext{assignment to a level}) = \frac{1}{N_{levels}}
  • Practical implications: well-designed experiments with proper randomization and controls provide the strongest evidence for causation in psychology