Unit 1 - Psychology Research Methods and Biases

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Last updated 4:21 PM on 8/11/26
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62 Terms

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Overconfidence Bias

Tendency to think you know more than you do or are better at something than you are.

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Hindsight Bias

Tendency to believe, after learning the outcome, that you knew it all along; often called Monday Morning Quarterbacking.

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Barnum Effect

Tendency to accept very general or vague characterizations of oneself as accurate.

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Confirmation Bias

Tendency to interpret new evidence as confirmation of one’s existing beliefs or theories.

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Experimental Method

Research approach that manipulates an independent variable to observe its effect on a dependent variable; often uses random assignment and control groups.

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Non-Experimental Method

Research approaches that do not manipulate the independent variable (e.g., case studies, naturalistic observation, surveys, correlations, meta-analyses).

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Independent Variable (IV)

The variable that the experimenter manipulates; the presumed cause.

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Dependent Variable (DV)

The variable measured in an experiment; the presumed effect.

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Random Assignment

Assigning participants to experimental and control groups by chance to reduce bias.

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Experimental Group

Group exposed to the independent variable.

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Control Group

Group not exposed to the independent variable.

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Double-Blind Procedure

Neither participants nor researchers know the expected outcome to prevent bias.

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Single-Blind Procedure

Participants are unaware of the expected outcome, but researchers may know.

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Placebo Effect

Behavioral change due to expectations rather than the actual treatment.

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Hawthorne Effect

Alteration of behavior by subjects due to awareness of being observed.

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Demand Characteristics

Cues that may indicate the research objectives and influence participant behavior.

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Random Sampling

Selecting a sample so that every member of the population has an equal chance of inclusion.

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Convenience Sampling

Sampling based on availability, which can lead to biased results.

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Sampling Bias

Flawed sampling that produces unrepresentative data.

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Naturalistic Observation

Watching subjects in their natural environment without manipulating the environment.

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Case Study

In-depth study of a single person, group, or situation over time; rich data but limited generalizability.

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Survey Method

Gathers self-reported attitudes or behaviors, often via representative random samples.

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Social Desirability Bias

Respondents give answers they think will look good, concealing true opinions.

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Wording Effect

How question wording influences respondents’ answers.

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Informed Consent

Ethical requirement to inform participants and obtain voluntary participation.

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Confidentiality

Protecting participants' data from disclosure.

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Debriefing

Providing participants with a full explanation after participation in a study.

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Ethics in Animal Research

Clear purpose, humane treatment, legal acquisition, and minimizing suffering.

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Ethics in Human Research

Informed consent, protection from harm, confidentiality, and debriefing.

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Theory

An explanation that organizes observations and predicts outcomes.

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Scientific Method

Systematic observation, measurement, experiment, and the formulation, testing, and modification of hypotheses.

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Applied Research

Research with clear, practical applications intended to solve real-world problems.

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Basic Research

Research aimed at growing general knowledge, not necessarily with immediate applications.

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Experimental Hypothesis

A statement predicting that the independent variable will affect the dependent variable.

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Null Hypothesis

A statement that there is no effect or relationship between variables.

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Replication

Repeating a study to see if findings hold with different participants and conditions.

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Descriptive Research

Research that aims to observe and describe behavior (case studies, surveys, naturalistic observation).

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Correlational Research

Research to detect naturally occurring relationships between variables; cannot establish causation.

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Experimental Research

Research that manipulates variables to determine cause-and-effect relationships.

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Third Variable Problem

A correlation may be due to a third variable influencing both variables.

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Directionality Problem

Uncertainty about which variable affects the other.

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Positive Correlation

Variables move in the same direction (both increase or both decrease).

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Negative Correlation

Variables move in opposite directions (one increases as the other decreases).

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Correlation Coefficient (r)

A number from -1 to +1 that measures the strength and direction of a linear relationship.

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Illusory Correlation

Perceiving a relationship between two variables when none exists; often due to memorable events or selective attention.

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Recency Bias

Tendency to rely on the most recently received information when forming judgments.

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Regression to the Mean

Extreme scores tend to move toward the average on subsequent measurements.

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Statistical Significance

Probability that observed results are due to chance; p-value < .05 is commonly used threshold.

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p-value

Probability of obtaining results at least as extreme as observed, assuming the null hypothesis is true.

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Effect Size

The magnitude of a relationship or difference, indicating practical significance.

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Qualitative Research

Research relying on non-numerical data (interviews, observations, narratives).

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Quantitative Research

Research relying on numerical data and statistical analysis.

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Meta-Analysis

Statistical synthesis that combines results from multiple studies.

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Normal Distribution

Bell-shaped, symmetrical distribution where mean = median = mode; about 68% within ±1 SD.

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Skewness

Asymmetry in a distribution caused by outliers; positive skew has more low scores, negative skew has more high scores.

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Outliers

Scores that are far from the rest of the data and can distort distributions.

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Range

Difference between the highest and lowest scores.

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Standard Deviation

Average distance of scores from the mean; measures data spread.

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Mean

Arithmetic average of a set of numbers.

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Median

Middle value when data are ordered.

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Mode

Most frequently occurring value in a data set.

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Percentile Rank

Percentage of scores that fall below a given score.