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Introduction to Psychology: Key Concepts and Research Methods

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  • Facilitated Communication

    A method where a facilitator helps autistic children communicate by typing, but controlled studies showed messages originated from the facilitator, not the child.

  • Prefrontal Lobotomy

    A surgical treatment for severe mental disorders that severs connections between the frontal lobe and thalamus; later shown to be ineffective and harmful.

  • System 1 Thinking

    Intuitive, fast, effortless thinking that relies on heuristics and snap judgments.

  • System 2 Thinking

    Analytical, slow, and effortful thinking used for problem solving and controlled reasoning.

  • Heuristics

    Mental shortcuts or rules of thumb that simplify decision-making but can lead to errors when oversimplifying reality.

  • Random Selection

    Every person in the population has an equal chance of being chosen for a study, essential for generalizing results.

  • Reliability in Measurement

    Consistency of a measure; includes test-retest and interrater reliability.

  • Validity in Measurement

    The extent to which a test measures what it claims; a test must be reliable to be valid but can be reliable and invalid.

  • Openness and Transparency in Research

    Sharing data publicly, preregistering studies, encouraging replication, and publishing sound science regardless of outcome.

  • Naturalistic Observation

    Watching behavior in real-world settings; high external validity but low internal validity, so no cause-effect conclusions.

  • Case Study

    In-depth study of one or few individuals, useful for rare conditions but limited in generalizability.

  • Self-Report Measures

    Participants assess their own traits or opinions; easy to use but vulnerable to bias, phrasing effects, and dishonesty.

  • Observer Ratings

    Reports from people who know the subject, avoiding some self-report biases but subject to halo and horns effects.

  • Halo Effect

    Tendency to let one positive trait influence ratings of other traits (e.g., attractive people seen as smarter).

  • Horns Effect

    Tendency to let one negative trait influence ratings of other traits (e.g., mean people seen as less intelligent).

  • Correlation Coefficient

    A number between -1 and +1 indicating the strength and direction of a relationship between two variables.

  • Illusory Correlation

    Perceiving a relationship between variables when none exists, often due to stereotypes or superstitions.

  • Correlation vs. Causation

    Correlation does not imply causation; causation can only be inferred through experimental designs.

  • Experimental Design

    Research method involving random assignment to experimental or control groups, manipulation of an independent variable, and measurement of a dependent variable.

  • Between-Group Design

    Different groups receive different treatments; comparisons are made between groups.

  • Within-Group Design

    The same group receives multiple treatments; each participant acts as their own control.

  • Confounding Variable

    Any variable other than the independent variable that differs between groups and may affect the outcome.

  • Placebo Effect

    Improvement due to participants' expectations rather than the treatment itself; controlled by blinding participants.

  • Nocebo Effect

    Negative effects caused by the expectation of harm rather than the treatment.

  • Experimenter Expectancy Effect

    Researcher bias unintentionally influencing study outcomes; prevented by double-blind designs.

  • Demand Characteristics

    Cues that allow participants to guess the study's purpose, potentially biasing their behavior.

  • Informed Consent

    Participants must be fully informed about the study and voluntarily agree to participate, with the right to withdraw anytime.

  • Deception and Debriefing

    Deception in research must be disclosed as soon as possible, and participants must be fully debriefed after the study.

  • Descriptive Statistics

    Numerical summaries of data including measures of central tendency (mean, median, mode) and variability (range, standard deviation).

  • Inferential Statistics

    Methods to determine if findings from a sample can be generalized to the population, including tests of statistical significance.