Chapter 1-7 Psychology Key Terms
Definition and scope of psychology
Psychology defined as the science of mental processes and behavior, not just speculation; it aims to be empirical and practical, applying findings to real-world settings.
Emphasis on mental processes as legitimate scientific topics worthy of study.
Two broad aims in psychology: understanding how people think, feel, and behave; and applying that understanding to improve lives and systems.
Major categories of psychologists
Experimental psychologists
Conduct most research in laboratory settings.
Focus on building and testing theories through controlled experiments.
Applied psychologists (the two major categories distinction alongside experimental)
Industrial-Organizational (I-O) psychology
Work in business settings with corporations.
Issues: work productivity, maximizing efficiency, morale, employee performance.
Bottom line: improve profits and efficiency by improving employee performance.
Example discussed: increasing daylight and breaks raised productivity.
Sports psychology
Work with athletes on routines, blocking distractions, handling stress, high performance, and stress management in and out of competition.
Engineering psychology
Human-machine interaction: design of instruments, knobs, and interfaces for safety and efficiency.
School psychology
Work in K–12 systems; districts and schools assign school psychologists.
Collaborate with teachers, parents, and students; classroom management, learning styles, behavioral problems.
Conduct psychological testing to identify giftedness, learning disabilities, and other mental challenges.
Rehabilitation psychology
Assist individuals recovering from major accidents or surgery; address psychological aspects of recovery.
Examples: car accidents leading to anxiety, hypervigilance, or depression; reintegration with families and careers.
Clinical psychology
Do therapy similar to counseling psychology but focus on severe pathology and debility.
Topics include disorders such as antisocial personality disorder and schizophrenia.
Counseling psychology
Focus on everyday problems and less severe pathology; practical guidance and coping strategies.
Forensic psychology
Deals with the legal system; psychology in relation to law.
Common areas of specialization (usually one or two):
Psychological harm or issues in criminal cases; conducting interviews, tests, writing reports for courts.
Competency to stand trial and insanity defense; evaluating true competency vs malingering.
Rehabilitation after imprisonment; assessing risk and readiness for release.
Evaluation of self-harm or harm to others; determining ongoing risk before release.
Crime scene analysis and profiling; examining patterns, personality traits, and patterns that fit criminal behavior.
Note: most forensic psychologists specialize in one or two areas due to breadth of field.
Quick summary connections
Psychologists may move between basic research (experimental) and applied settings (I-O, clinical, forensic, etc.).
All fields rely on methodological rigor and ethical practice.
The scientific method and research basics in psychology
Psychology is based on the scientific method; a five-step process (as described in lecture) for empirical investigation of a hypothesis: 1) Develop a question 2) Develop a hypothesis 3) Design the study 4) Collect data 5) Analyze the data
Note: The transcript lists six items (including publishing findings) but describes five steps; the enumerated items include: develop a question, develop a hypothesis, design the study, collect data, analyze the data, publish findings.
Important to learn definitions of key terms as you study:
Dependent variable (outcome variable): the measure of interest that responds to manipulation or conditions; also the responses of participants.
Independent variable: the variable that is deliberately varied to observe its effect on the dependent variable.
Experimental design involves random assignment to two conditions (experimental vs control) and careful control of variables to test causal effects.
Correlational designs and the issue of causation
Correlational designs examine relationships between two or more variables without manipulating them.
Types of relationships:
Positive correlation: as one variable increases, the other also increases. Represented with a plus relationship (e.g., time spent watching violence and aggressive acts).
Negative correlation: as one variable increases, the other decreases. Example: as exercise and sleep increase, illness decreases.
Visuals: scatter plots showing upward (positive) or downward (negative) trends.
Important caveat: correlational designs do not establish causation.
Reasons:
Unknown direction of causality: the direction of the effect is not known; X may cause Y, Y may cause X, or a third variable may cause both.
Third-variable problem: there may be a lurking variable Z that explains the relationship between X and Y.
Classic example discussed: correlation between ice cream consumption and murder rates (illustrative, not causal):
As ice cream consumption rises, murder rates rise; this does not imply ice cream causes murders.
Potential third variables: warm weather, more social interaction, alcohol consumption, more outdoor activity;
other factors may drive both ice cream consumption and murder rates.
Real-world example given in lecture: exercise and sleep correlating with lower illness, with caveats about other contributing factors such as genetics, SES, diet, etc.
Why use correlations if they cannot prove causation?
Correlations are quick, simple, and cost-effective; they help identify relationships that can be explored with subsequent experiments.
Fundamental math reference
Correlation is often summarized by the correlation coefficient r, which for two variables X and Y is given by
r = rac{ ext{cov}(X,Y)}{\sigmaX \sigmaY} \,=\, rac{\, extstyle rac{1}{n-1}\,igg( rac{ ext{sum of cross-products}}igg)}{ ext{standard deviations product}}In practice, many texts present the computational form as
r = rac{igl( extstyleigl(Xi-ar Xigr)igl(Yi-ar Yigr)igr){ ext{sum}}}{igl( extstyleigl(Xi-ar Xigr)^2igr){ ext{sum}}^{1/2} igl( extstyleigl(Yi-ar Yigr)^2igr)_{ ext{sum}}^{1/2}}
Classic correlational study examples mentioned:
Exercise and sleep vs illness (negative correlation)
Pacifier use in boys and emotional intelligence (correlation with anger/temper tantrums)
Experimental designs and how to test causality
Experimental designs enable demonstration of cause-and-effect when well-constructed.
Core features:
Tight control of the condition (independent variable) and measurements.
Two conditions: experimental (receives the intended treatment) and control (receives a comparison condition, often a placebo).
Random assignment: participants are assigned to groups with equal probability (e.g., coin flip) to create equivalent groups.
Important variables to balance across groups (to avoid confounding): sex, age, race/ethnicity, prior scores, etc. Randomization helps ensure comparable groups.
Randomization specifics and practicalities:
In practice, researchers use computer programs to randomize participants to groups.
Randomization reduces observer bias and experimenter bias by distributing biases evenly across groups.
Bias issues in experiments:
Observer bias: participants bring biases into the study through how they respond.
Experimenter bias: the researcher’s expectations or preferences influence outcomes, data collection, or interpretation.
Randomization and blind procedures help mitigate biases.
Control types and blinding:
Blind control: participants do not know what condition they are in regarding the actual manipulation (e.g., both groups think they are receiving training, but one group receives an alternative).
Double-blind control: neither participants nor experimenters know which condition participants are in; prevents bias from both sides.
Practical notes on implementation:
In many university settings, experimenters and graduate assistants run studies; the primary experimental psychologist often analyzes results but may not be involved in day-to-day data collection.
Analogy: the experimenter provides a playbook; assistants execute it while the psychologist stays focused on results and analysis.
Deception, ethics, and debriefing in research
Deception usage:
Sometimes deception is used to reduce bias and demand characteristics (participants’ behavior altered by their beliefs about the study).
Example: telling the experimental group they all receive in-person test-taking skills while control group uses a manual-only approach.
Debriefing:
Ethical obligation to explain the true nature of the study after participation and address any deception used.
Often, those who debrief may provide actual benefits to the control group (e.g., offering access to the program being tested).
Historical/real-world example:
During the COVID-19 pandemic, vaccines and clinical trials involved rapid testing and ethical considerations; researchers used controlled designs to determine efficacy.
Animal research ethics:
When testing new drugs or treatments, initial tests are conducted on animals (e.g., rats) before humans to assess safety and efficacy.
If adverse effects occur, researchers must stop the study and minimize harm as much as possible.
Broader ethics and governance:
Professional organizations (e.g., the American Psychological Association, APA) set ethical guidelines and standards.
State licensing boards regulate practice.
Students can join student affiliates for access to newsletters, internship opportunities, and career resources.
The role of professional organizations and licensing
American Psychological Association (APA)
Governing body for psychologists; sets ethical standards and provides resources.
Responsible for sanctions when violations occur.
State licensing boards
Regulate the practice of psychology within each state.
Student affiliates and benefits
Access to newsletters, networking, internship opportunities, and information about trends and research.
The two major categories revisited and quick checks
Recap of the two major categories:
Experimental psychologists (research in lab settings)
Applied psychologists (I-O, sports, engineering, school, rehabilitation, clinical, counseling, forensic, etc.)
Quick practice questions (from lecture prompts):
Which type of applied psychologist works in business settings? Industrial-Organizational (I-O) psychology.
What do counseling psychologists focus on? Everyday problems and adjustment, less severe pathology; not the same emphasis on severe disorders as clinical psychology.
What is the first exam date mentioned? September 4.
Research methods review and common pitfalls
Correlational design review:
What it does: examines relationships between two or more variables.
What it cannot do: prove causation due to directionality and third-variable problems.
Example shown: ice cream consumption and murder rates (illustrates spurious correlation due to confounding factors like seasonality and social activity).
Experimental design review:
Purpose: establish causality with random assignment and manipulation of the independent variable.
Key components: randomization, control condition, experimental condition, potential use of placebo, blinding (single vs double), and ethical safeguards.
Application to everyday examples:
SAT-related example: random assignment akin to experimental condition vs control; careful consideration of factorial variables (gender, age, prior scores) to balance groups.
In-person vs online classes: multiple factors (interaction, immediate feedback, activities, question-forcing environments) explain differences in outcomes beyond mere access to notes.
Practical examples embedded in the lecture
Classroom and testing differences:
In-person class often yields better performance than online when notes cannot be used and interaction is limited; success comes from active engagement, exercises, and application of concepts rather than rote memorization.
Pacifier use and emotional intelligence (correlational study):
Reported finding: higher pacifier use in boys associated with higher levels of anger outbursts.
Interpretation caveat: correlation does not imply causation; other developmental or environmental factors may contribute.
False balance, media literacy, and critical thinking in psychology
False balance in media coverage of scientific issues:
Example: reporting as if global warming is a debatable issue despite a large majority consensus.
The commonly cited statistic: if 70% of Americans believe in global warming and 13% disagree, then 17% are unsure; media may present it as a two-sided debate.
Three main reasons for false balance (beyond simple disagreement):
1) Confirmation bias: people listen only to information that reinforces their preconceptions; surrounding themselves with like-minded sources.
2) Money and viewership: news outlets generate revenue from viewership; controversy increases attention and profits.
3) Political and economic incentives: some stakeholders (politicians or companies) may benefit financially from maintaining attention to controversial topics, even if it conflicts with scientific consensus.Additional dynamics:
Some individuals recognize the reality of global warming but downplay it due to economic concerns (bottom line) or ideological reasons.
The role of science as bias-free while acknowledging that non-scientific actors can influence the presentation and interpretation of data.
Climate science basics referenced:
2023 set a new global temperature record, surpassing prior years; 2024 also beat previous records. (Illustrative climate data from lecture.)
Hurricanes, weather, and regional impacts in Florida as a real-world example of climate change effects.
The value of critical thinking in psychology:
Evaluate sources, beware of biases in both the media and in research, and distinguish between correlation and causation.
Recognize that different viewpoints may come with different agendas and that science relies on empirical testing and replication.
Additional reflections and practical implications
The field of psychology emphasizes the interconnectedness of theory, method, and application across diverse settings (labs, schools, clinics, workplaces, courts, and public discourse).
Students are encouraged to participate in research, understand experimental design, and develop skills in critical evaluation of evidence.
Ethical considerations permeate all research: deception, debriefing, animal welfare, and the role of professional bodies in maintaining standards.
Real-world relevance:
Understanding how people interact with technology, education systems, healthcare, sports, and legal processes informs better policies, products, and services.
Critical thinking about media representations and public policy is a practical outcome of studying psychology.
Key terms and concepts (glossary style quick reference)
Experimental psychologist
Applied psychologist
Industrial-Organizational psychology (I-O)
Engineering psychology
Sports psychology
School psychology
Rehabilitation psychology
Clinical psychology
Counseling psychology
Forensic psychology
Correlational design
Positive correlation r > 0
Negative correlation r < 0
Causation
Unknown direction of causality
Third variable problem
Independent variable (IV)X
Dependent variable (DV)Y
Control condition
Experimental condition
Placebo (as relevant in some designs)
Randomization
Observer bias
Experimenter bias
Blind control
Double-blind control
Deception
Debriefing
APA (American Psychological Association)
Licensing boards
Malingering
Competency to stand trial
Insanity defense
Rehabilitation
Crime scene analysis
Profiling
Pattern analysis
Depression (noted as common within clinical discussions; example described as a common reaction in clinical work)
Critical thinking (in the context of evaluating evidence, biases, and media)
// The notes above reflect the major and minor points mentioned in the transcript, including definitions, examples, ethical considerations, research design details, and real-world relevance. All mathematical expressions are enclosed in LaTeX notation as requested.