Unit 0: Science Practices, Research Methods, and Statistics

Psychological Perspectives

Contemporary psychology approaches human thought, cognition, and behavior through multiple complementary viewpoints. Rather than adhering to a single doctrine, psychologists categorize modern thought into eight major theoretical frameworks.

Humanist Perspective

Championed by theorists Abraham Maslow ($1908$-$1970$) and Carl Rogers ($1902$-$1987$), the humanist perspective emphasizes individual choice and free will. This school of thought arose in contrast to deterministic behaviorism, which posits that all actions are dictated strictly by prior environmental conditioning.

• Core Assumptions: Humanists believe that individuals choose the vast majority of their behaviors. These decisions are guided by an innate hierarchy of physiological, emotional, and spiritual needs.

• Application to Introversion: A humanistic psychologist would explain an introverted personality by suggesting that the individual actively chooses to limit broad social interactions because their personal social and emotional needs are more authentically satisfied through deep contact with a small circle of close friends rather than large groups.

• Scientific Status and Clinical Application: Humanistic concepts are difficult to test empirically via the scientific method. Because of this limitation, some psychological historians view humanism as an influential historical perspective rather than an active scientific framework. Nevertheless, practicing therapists frequently utilize humanistic tenets to help clients overcome internal obstacles and achieve personal growth.

Psychodynamic Perspective

Originating with Sigmund Freud, the psychodynamic perspective remains an active, though controversial, facet of modern psychology.

• Core Assumptions: Psychodynamic theorists assert that the unconscious mind—a reservoir of feelings, urges, and drives beyond conscious awareness and control—governs the majority of human thought, feeling, and action. Psychoanalysts focus on identifying impulses, conflicts, and memories that have been forced out of conscious awareness through repression.

• Techniques: To investigate the unconscious mind, practitioners employ psychoanalytic therapeutic methods, including dream analysis and word association.

• Application to Introversion: A psychodynamic psychologist would interpret an individual's social withdrawal as the manifestation of a repressed childhood trauma involving a social setting—such as an acute, unremembered experience of extreme embarrassment, ridicule, or severe anxiety at school or a party.

Biopsychology (Neuroscience) Perspective

The biopsychological or neuroscience perspective explains human thought and behavior strictly through underlying biological, physiological, and anatomical processes.

• Core Assumptions: Human cognition, emotional reactions, and behavioral tendencies are driven by the interplay of genetics, hormonal activity, brain structures, and neurotransmitters.

• Application to Extroversion: A biopsychologist would explain extroversion as a trait driven by inherited genetic factors that regulate the availability and abundance of specific neurotransmitters in the brain.

• Contemporary Trajectory: Biopsychology represents one of the fastest-growing domains within the discipline, prompting some researchers to suggest that psychology may eventually function as a specialized branch of biological science.

Evolutionary (Darwinian) Perspective

Also termed sociobiology, evolutionary psychology evaluates human thoughts, emotions, and behaviors through the lens of Charles Darwin's ($1809$-$1882$) theory of natural selection.

• Core Assumptions: Specific psychological traits and behavioral patterns provide adaptive survival advantages. Traits that enhance survival and reproductive success are naturally selected and transmitted genetically from parents to offspring.

• Relationship to Biopsychology: The evolutionary perspective is conceptually linked to, and frequently treated as a specialized subset of, the biopsychological approach.

• Application to Extroversion: An evolutionary psychologist would explain extroversion as an adaptive survival mechanism. An outgoing individual is more likely to build alliances, establish friendships, and secure mutual protection within a group, directly increasing their probability of survival and successful reproduction, thereby transmitting the extroversion trait to future generations.

Behavioral Perspective

Behaviorism limits its inquiry strictly to observable behaviors and quantifiable reactions to environmental stimuli, rejecting internal mental states as unobservable.

• Core Assumptions: Human and animal actions are acquired and maintained through conditioning processes, primarily reinforcement and punishment.

• Application to Extroversion: A behaviorist would investigate external environmental stimuli and contingencies: Was the person systematically rewarded or praised for exhibiting outgoing behaviors? Were they punished, criticized, or ignored when withdrawing from social interaction? Behaviorists identify the external conditions that elicit and reinforce extroverted responses.

Cognitive Perspective

The cognitive perspective examines human thought and behavior in terms of how individuals perceive, interpret, process, store, and retrieve information from their environments.

• Core Assumptions: The cognitive rules, schemas, and processing pathways a person uses to understand the world dictate how they think and behave.

• Developmental Foundations: Cognitive psychology includes Jean Piaget's ($1896$-$1980$) cognitive developmental theory, which traces how cognitive abilities progress through distinct developmental stages across maturation.

• Application to Extroversion: A cognitive psychologist explains extroversion by analyzing how a person interprets social contexts. An extrovert views a conversational invitation as a valuable, positive opportunity to build a connection or achieve personal goals. To the cognitive psychologist, an outgoing person behaves this way because their cognitive appraisal of the world makes social engagement logical and sensible.

Social-Cultural (Sociocultural) Perspective

The social-cultural perspective investigates how thought processes and behaviors vary across distinct cultures, societal structures, and historical contexts.

• Core Assumptions: Cultural norms, traditions, and societal expectations exert a fundamental influence on cognition, perception, and action.

• Application to Extroversion: A sociocultural psychologist would explain extroversion by examining the social norms of an individual's culture. Inquiries would focus on cultural conventions such as interpersonal conversational distance, physical contact during interactions, and the relative value placed on collectivism (group cohesion) versus individualism. Extroverted behaviors are understood in relation to how well they align with cultural norms.

Biopsychosocial Perspective

The biopsychosocial perspective integrates biological, psychological, and social factors into a unified model, arguing that isolating any single factor is reductionistic.

• Critique of Single Perspectives: Biopsychosocial psychologists argue that explanations focusing solely on biological mechanisms, internal cognitive interpretations, or external social stimuli oversimplify human complexity.

• Integrated Model: This perspective combines biological predispositions (such as genetic inheritance and neurochemistry), psychological processes (such as cognitive interpretations and emotional habits), and sociocultural pressures (such as societal expectations, cultural norms, and conformity).

• Application to Extroversion: An individual's extroversion is explained as the result of a genetic neurochemical predisposition, combined with learned cognitive interpretations and conditioning, shaped and amplified by social pressures and cultural incentives.

The Eclectic Point of View

Rather than committing to a single theoretical model, many psychologists adopt an eclectic framework. This perspective holds that no single theory accounts for the full spectrum of human cognition and behavior. Instead, different perspectives provide valid explanations depending on the specific situation or disorder under study.

Foundations of Research Methods

Psychology is an empirical science grounded in systematic research. While intuitive judgments frequently guide daily life, informal reasoning is prone to cognitive distortions.

Cognitive Obstacles to Scientific Thinking

• Hindsight Bias: The tendency, upon discovering an outcome or research finding, to believe that one knew the result all along. While post-hoc explanations are simple to construct after an event, the scientific method seeks to generate falsifiable predictions prior to observation.

• Confirmation Bias: The tendency to notice, seek out, and remember information that corroborates preexisting beliefs while ignoring, downplaying, or dismissing contradictory evidence.

• Overconfidence: The tendency to overestimate the accuracy of one's own beliefs, judgments, and knowledge.

Classifications of Psychological Research

Psychological research is categorized based on its practical goals and data collection methods:

• Applied Research: Investigates questions with direct, immediate real-world utility. Examples include designing reading curricula to determine which method enhances literacy more effectively, or testing the efficacy of a smoking cessation program.

• Basic Research: Explores theoretical questions of scientific interest without immediate real-world applications. Examples include investigating the mechanisms of attitude formation or examining how different cultures define intelligence.

• Quantitative Research: Relies on numerical measurement, mathematical modeling, and statistical analyses.

• Qualitative Research: Gathers non-numerical, text-based data, such as narrative statements and interview transcripts, analyzing them for thematic patterns.

Hypotheses, Theories, and Variables

Scientific inquiry follows structured principles of hypothesis generation and operational definition:

• Theories and Hypotheses: A theory is an integrated set of principles that organizes observations and explains phenomena. A hypothesis is a specific, testable prediction expressing a relationship between two or more variables that is derived directly from a theory.

• Falsifiability: A scientific hypothesis must be falsifiable; there must be a conceivable empirical outcome that could disprove it.

• Variables: Any measurable factor, characteristic, or attribute that can vary among study participants (e.g., stress level, height, religion).

• Independent Variable ($\text{IV}$): The factor that the researcher systematically manipulates in an experiment to observe its effects.

• Dependent Variable ($\text{DV}$): The factor that is measured to assess the effect of the independent variable. In an experimental hypothesis, changes in the dependent variable depend on manipulations of the independent variable.

• Operational Definitions: Explicit, detailed specifications of how variables will be measured and manipulated within a study. In an investigation of whether violent television increases aggression, the operational definition must specify which programs qualify as violent (including duration and criteria) and identify the behaviors scored as aggressive.

Validity and Reliability

Methodological rigor requires both validity and reliability:

• Validity: The accuracy of a study or measurement tool. Research is valid when it measures what the investigator intended to measure.

• Reliability: The consistency and replicability of a study or measure. Research is reliable if identical procedures applied under identical circumstances yield consistent, reproducible results.

Sampling and Population Selection

Sampling is the process of choosing individuals from a broader group to participate in an empirical study.

• Population: The entire group of individuals, objects, or events from which a sample can be drawn and about whom the researcher wishes to draw conclusions.

• Sample: The specific subgroup of participants selected from the population to participate in the research.

• Representative Sample: A sample whose demographic and psychological profile mirrors the larger population. This correspondence allows researchers to generalize findings from the sample to the broader population.

• Sample Size Considerations: Larger samples reflect the population more accurately than smaller samples. While surveying an entire population of $1{,}000$ guarantees complete representation, practical constraints of time and expense necessitate selecting an optimal sample size using statistical power estimates.

Sampling Techniques

• Random Sampling: A selection method in which every individual member of the population possesses an equal probability of being selected. Random sampling is conducted using computer algorithms, random number tables, or lottery selection.

  • Common Misconception: Approaching people in an informal manner (such as standing outside a library on a Wednesday morning) is not random sampling. This method excludes anyone who does not pass the library at that time, and researcher bias may lead to systematically approaching certain individuals over others.

• Convenience Sampling: Selecting a sample based entirely on accessibility and ease of recruitment (e.g., surveying one's own students, friends, family members, or immediate coworkers). Convenience samples limit the ability to generalize findings to a broader population.

• Stratified Sampling: A sampling procedure that ensures specific subgroups (strata) of a population are represented proportionally within the sample according to designated criteria (such as race, ethnicity, or socioeconomic status).

  • Example: In a school population of $1{,}000$ students consisting of $500$ white, $300$ Black, and $200$ Latino students, a stratified sample of $100$ students must contain exactly $50$ white, $30$ Black, and $20$ Latino participants. The researcher stratifies the population into these three groups and randomly samples the appropriate number from each subgroup.

The Experimental Method

The experiment is the only research methodology capable of isolating cause-and-effect relationships.

Settings and Variables

• Laboratory Experiments: Conducted in highly controlled environments. Their primary strength is control over extraneous variables; their limitation is artificiality.

• Field Experiments: Conducted in natural, real-world settings. Their primary strength is ecological realism; their limitation is reduced experimental control.

• Confounding Variables: Any uncontrolled differences between the experimental and control conditions—apart from the independent variable—that systematically influence the dependent variable.

Participant Assignment and Controls

• Random Assignment: The process of assigning selected participants to experimental and control conditions such that each individual has an equal probability of placement in any group.

  • Distinction from Random Sampling: Random sampling selects participants from the population. Random assignment occurs after sampling to allocate those participants into experimental groups.

  • Purpose: Controls for participant-relevant confounding variables by distributing individual differences (such as baseline aggression, intelligence, or personality traits) evenly across conditions, ensuring that groups are equivalent on average.

• Group Matching: A technique used to balance groups on a specific participant variable (such as biological sex, age, or IQ). For biological sex, a researcher divides the sample into male and female cohorts, and then randomly assigns half of each cohort to the experimental condition and half to the control condition. This balances the distribution of that variable across groups.

Environmental and Procedural Controls

• Situation-Relevant Confounding Variables: Environmental differences experienced by groups during a study (e.g., room size, ambient temperature, time of day, noise levels). To eliminate these confounds, experimental and control groups must experience identical conditions with the exception of the independent variable.

• Experimenter Bias: An unconscious tendency for researchers to treat experimental and control participants differently in ways that inadvertently confirm the research hypothesis. Intentional distortion of data is classified as scientific fraud rather than bias.

• Double-Blind Study: A methodological control in which neither the participants nor the research staff interacting with them know which group participants have been assigned to. This eliminates experimenter bias and minimizes demand characteristics.

• Single-Blind Study: A procedure in which only the participants are unaware of their group assignment. This controls for participant biases and demand characteristics.

• Demand Characteristics: Subtle cues within an experiment that reveal the study's underlying hypotheses to participants, leading them to adjust their behavior to confirm or refute the expected outcome.

• Response (Subject) Bias: The tendency of participants to respond in systematic, skewed patterns (such as selecting midpoints on Likert scales or favoring right-hand options).

• Social Desirability Bias: A form of response bias where participants provide answers that present themselves in a favorable light rather than answering truthfully.

• Experimental and Control Groups: The experimental group receives the operationalized treatment (the independent variable). The control group receives no treatment, serving as a baseline comparison.

• Hawthorne Effect: The phenomenon whereby individuals alter their performance or behavior simply because they are aware they are being observed in a study.

• Placebo Method: An experimental control in which control participants receive an inert substance identical in appearance to the active treatment. This procedure isolates the physiological effects of a drug from the psychological effects of expecting treatment (the placebo effect).

• Counterbalancing: A method used in within-subjects designs (where participants serve as their own control group across multiple conditions) to eliminate order effects. In testing performance on an IQ test following frustrating versus non-frustrating tasks, participants might perform better on the second test due to practice. Counterbalancing divides participants so that half complete the frustrating task first, while the other half complete the non-frustrating task first.

Non-Experimental Research Methods

When experimental manipulation is ethically or practically impossible, non-experimental methods provide alternative ways to gather data.

Correlational Method

Correlational studies examine the mathematical relationship between two variables without manipulating them, meaning they cannot establish causality.

• Positive Correlation: The presence of one variable predicts the presence of the other; as one variable increases, the other increases.

• Negative Correlation: The presence of one variable predicts the absence of the other; as one variable increases, the other decreases.

• Ex Post Facto (Quasi-Experimental) Studies: Used when the independent variable is pre-existing and cannot be ethically or practically manipulated (e.g., comparing voting rates between retired and employed adults). Because participants cannot be randomly assigned, alternative explanations cannot be ruled out, preventing causal conclusions.

• Survey Method: Involves collecting self-reported data via questionnaires or interviews without manipulating variables.

  • Likert Scales: Items that present a statement and require participants to indicate their level of agreement on a fixed continuum (e.g., ranging from "strongly disagree" to "strongly agree").

  • Directionality Problem: In a correlation between violent television and aggression, it is unclear whether violent programming causes aggression, or whether aggressive individuals are drawn to violent television.

  • Third-Variable Problem: The possibility that an unmeasured variable (such as a shared genetic predisposition) causes changes in both variables, creating a spurious correlation.

  • Methodological Limitations: Surveys are vulnerable to unmeasured participant differences, uncontrolled situational variables, and non-response bias (low response rates), which undermine sample representativeness.

Naturalistic Observation and Qualitative Techniques

• Naturalistic Observation: Unobtrusively observing and recording behavior in its natural setting without experimental manipulation or researcher interference. This method provides ecological validity at the cost of experimental control.

  • Distinction from Field Experiments: Field experiments involve the active manipulation of an independent variable and control of confounds in a natural setting. Naturalistic observation involves no manipulation or intervention.

• Interviews and Focus Groups: Qualitative methods that gather open-ended verbal or written responses.

  • Structured Interviews: Feature a fixed sequence of standardized questions asked in an identical manner, yielding easily quantifiable data.

  • Semistructured and Unstructured Interviews: Allow conversational flexibility and follow-up inquiries, providing richer detail with lower experimental control.

• Case Study: An in-depth investigation of an individual, small group, or specific situation. While case studies provide detailed clinical insights, their findings cannot be generalized to the broader population.

Descriptive Statistics

Descriptive statistics organize, summarize, and describe characteristics of a collected dataset.

Visualizing Data and Frequency Distributions

• Frequency Distribution: A summary table displaying the frequency of each score or category within a dataset.

• Histograms and Frequency Polygons: Data displays where the vertical y-axis represents frequency and the horizontal x-axis represents the variable under investigation.

Measures of Central Tendency

Measures of central tendency identify the single central score around which a distribution clusters.

• Mean: The arithmetic average of all scores in a distribution, calculated by summing all values and dividing by the total number of scores ($N$).

• Median: The physical middle score in an ordered distribution. If the number of scores is odd, it is the center value; if even, it is the arithmetic average of the two middle values.

• Mode: The most frequently occurring score in a distribution. Distributions with two distinct modes are classified as bimodal.

• Distortion by Outliers: The mean is sensitive to extreme scores (outliers). In a group of $20$ people where $19$ own cars valued at $\$12{,}000$ and $1$ owns a car valued at $\$120{,}000$, the mean car value is $\$17{,}400$. Because this average exceeds the car values of $95\%$ of the sample, the median ($\$12{,}000$) serves as a more accurate measure of central tendency.

Skewed Distributions

When extreme scores distort a distribution away from symmetry, the dataset becomes skewed.

• Positively Skewed Distribution: Contains a cluster of low scores with a tail trailing toward extreme high values. Because the mean is sensitive to outliers, it is pulled to the right, making the mean higher than the median ($\text{Mean} > \text{Median}$).

• Negatively Skewed Distribution: Contains a cluster of high scores with a tail trailing toward extreme low values. The mean is pulled to the left, making it lower than the median ($\text{Mean} < \text{Median}$).

• Symmetrical Distribution: The mean, median, and mode coincide at the center of the distribution.

Measures of Variability

Measures of variability depict the dispersion, spread, or diversity of scores within a dataset.

• Range: The arithmetic distance between the highest and lowest scores in a distribution.

• Variance: A measure of dispersion representing the average squared deviation of each score from the distribution's mean.

• Standard Deviation: The square root of the variance ($\sigma = \sqrt{\sigma^2}$), reflecting the average distance of scores from the mean in original measurement units. Higher values denote greater variability.

Standardized Scores and the Normal Curve

• z-Scores: Standardized units that measure the distance of an individual score from the mean in units of standard deviation.

  • Scores below the mean yield negative z-scores; scores above the mean yield positive z-scores.

  • Example: On an exam with a mean of $80$ and a standard deviation of $8$, an individual scoring $72$ earns a z-score of $-1.0$ ($\frac{72 - 80}{8} = -1.0$). An individual scoring $84$ earns a z-score of $+0.5$ ($\frac{84 - 80}{8} = +0.5$).

• The Normal Distribution: A symmetrical, bell-shaped theoretical distribution where the area under the curve between any two z-scores is fixed:

  • Approximately $68\%$ ($68.26\%$) of all scores fall within $1$ standard deviation of the mean ($z = -1$ to $z = +1$).

  • Approximately $95\%$ ($95.44\%$) of all scores fall within $2$ standard deviations of the mean ($z = -2$ to $z = +2$).

  • Approximately $99\%$ ($99.74\%$) of all scores fall within $3$ standard deviations of the mean ($z = -3$ to $z = +3$).

  • Because the curve is symmetrical, half of the $95\%$ range—approximately $47.5\%$ ($\frac{95}{2} = 47.5\%$)—falls between the mean ($z = 0$) and a z-score of $+2$.

• Percentiles: The percentage of scores in a distribution that fall at or below a specific score.

  • A score at the $90\text{th}$ percentile exceeds $90\%$ of all scores in the comparison group.

  • On a normal curve, a z-score of $0$ aligns with the $50\text{th}$ percentile; a z-score of $+2$ aligns with approximately the $98\text{th}$ percentile ($97.72\text{nd}$ percentile).

Correlation Coefficients and Scatterplots

• Correlation Coefficient ($r$): A statistic quantifying the strength and direction of a linear relationship between two variables, ranging from $-1.00$ to $+1.00$.

  • Perfect correlations are represented by $-1.00$ and $+1.00$, which are equal in predictive strength.

  • A value of $0.00$ represents the absence of any linear relationship.

• Scatterplot: A graph displaying pairs of bivariate data points along the horizontal (x-axis) and vertical (y-axis) coordinates.

• Line of Best Fit (Regression Line): The line drawn through a scatterplot that minimizes the squared distances between the line and each plotted point. An upward slope indicates a positive correlation; a downward slope indicates a negative correlation.

Sample Dataset: Hours Studied vs. GPA

Inferential Statistics and Research Integrity

While descriptive statistics summarize sample data, inferential statistics determine whether observed findings can be generalized to the broader population.

Sampling Error and Hypothesis Testing

• Sampling Error: The natural statistical difference between the characteristics of a sample and the parameters of the population from which it was drawn.

• The Role of Sample Size and Magnitude: In an investigation of sugar and memory with $50$ participants recalling $15$ words, an experimental group mean of $7.0$ words compared to a control group mean of $6.9$ words ($0.1$ word difference) is likely attributable to sampling error rather than an experimental effect. Similarly, if a study used a sample of only $1$ person per group and observed scores of $15$ versus $5$, the small sample size prevents any reliable conclusions. Inferential statistical tests evaluate whether an observed difference is likely genuine based on sample size and effect magnitude.

• Inferential Tests: Common procedures include Student's t-tests, chi-square ($\chi^2$) tests, and analyses of variance (ANOVAs).

• The p-Value and Statistical Significance: Inferential tests calculate a probability statistic ($p$-value), representing the likelihood that the observed difference between groups occurred by chance.

  • Significance Threshold: By convention, a $p$-value of $p \le 0.05$ is the universal cutoff for statistical significance, indicating a $5\%$ or smaller probability that the observed results arose purely from chance.

  • Non-Zero Property: A $p$-value can never equal $0.00$, as empirical science cannot rule out chance with absolute certainty.

• Practical Significance and Effect Size: A result may be statistically significant in a very large sample while remaining practically trivial in magnitude. Researchers measure effect size to quantify the practical magnitude of a phenomenon alongside its statistical significance.

Scientific Quality and Replication

• The Replication Crisis: A challenge across psychology and other sciences in which independent researchers have failed to replicate findings from published studies, leading to greater scrutiny of methodology and sample size.

• Replication: Repeating a study using identical operational definitions and experimental procedures to confirm the stability of the original findings.

• Meta-Analysis: A quantitative statistical technique that combines and aggregates the results of multiple independent studies on the same research question to calculate an overall effect size.

• Peer Review: A formal screening process in which research manuscripts submitted for publication are evaluated by independent experts in the field to assess methodology, analysis, and conclusions.

Ethical Guidelines in Psychological Science

Research involving human or animal subjects must be reviewed and approved by an Institutional Review Board (IRB) or ethics committee prior to data collection.

Ethical Standards for Animal Research

Psychological research utilizing animal subjects must adhere to guidelines established by the American Psychological Association (APA):

1. Clear Scientific Purpose: The study must address a specific, important scientific question.

2. Appropriate Model: The chosen animal species must be the most suitable model to investigate the proposed question.

3. Humane Care and Housing: Animals must be housed, fed, and maintained under clean, humane conditions.

4. Legal Acquisition: Animals must be obtained legally from accredited suppliers. If wild animals are studied, they must be captured using humane methods.

5. Minimization of Suffering: Experimental protocols must be designed to minimize pain, stress, and physical discomfort.

Ethical Standards for Human Research

Human research protocols must adhere to the following APA ethical principles:

• No Coercion: Participation must be entirely voluntary. Individuals cannot be pressured into participating, and they must be free to withdraw at any point without penalty.

• Informed Consent: Participants must be informed of the nature, procedures, potential risks, and demands of the study before agreeing to participate. Adult participants must provide written consent. Minors cannot give legal consent; researchers must obtain informed assent from the minor alongside consent from a parent or legal guardian.

• Limits on Deception: Deception regarding the true hypotheses of a study is permissible only when necessary to preserve experimental validity, provided it does not involve procedures that would alter a person's willingness to participate.

• Confidentiality vs. Anonymity: Researchers must protect participants' identities.

  • Anonymity: Achieved when researchers collect no identifying information (such as names or social security numbers), making it impossible to connect responses to an individual.

  • Confidentiality: Guaranteed when researchers possess identifying records (such as in face-to-face interviews) but protect the data, ensuring that identities and individual responses are never publicly disclosed.

• Protection from Harm (Risk Assessment): Participants must not be exposed to significant physical danger or long-term psychological harm. While minor, temporary discomfort may be permitted, procedures carrying risks of lasting distress must be avoided.

  • Historical Precedent: Stanley Milgram's obedience experiments in the $1970\text{s}$ demonstrated ethical concerns regarding psychological harm, as participants were led to believe they were administering dangerous, potentially lethal electric shocks to another person.

• Debriefing: Following the conclusion of a study, participants must be informed of the true purpose, hypotheses, and procedures of the research. Debriefing is required in any study that utilizes deception, and researchers must provide avenues for participants to contact them regarding findings or psychological support.