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Vocabulary flashcards covering concepts from Pages 1–3 notes.
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Cultural norms
Shared expectations and rules that guide behavior of people within social groups.
Confirmation bias
Tendency to search for or interpret information that confirms preexisting beliefs.
Hindsight bias
Believing you predicted an outcome after it happens (I-knew-it-all-along effect).
Overconfidence
Tendency to overestimate accuracy of one’s knowledge or judgments.
Experimental (random assignment)
Research method manipulating an independent variable to observe effects on a dependent variable, with random assignment.
Case study
In-depth examination of a single person or group; non-experimental.
Correlation
Non-experimental method measuring the relationship between two variables (does not prove causation).
Meta-analysis
Statistical combination of results from many studies to look for overall trends.
Hypothesis
Testable prediction.
Falsifiable
Capable of being disproven by evidence.
Operational definitions
Exact procedures used to define and measure variables.
Independent variable (IV)
The factor manipulated by the researcher.
Dependent variable (DV)
The outcome measured.
Confounding variables
Uncontrolled factors that may affect the DV.
Sample
Subset of individuals from a population used in research.
Population
The larger group from which a sample is drawn.
Representative sample
Sample that accurately reflects the demographics of the population.
Random sampling
Each member of the population has equal chance of selection.
Convenience sampling
Using participants who are easily accessible.
Sampling bias
Error when a sample is not representative of the population.
Generalizability
Extent to which results can be applied to the population.
Experimental group
Group that receives the treatment (IV).
Control group
Group not exposed to the IV, used for comparison.
Placebo
Inert substance/treatment with no effect, used as control.
Single-blind
Participants unaware of whether they receive treatment or placebo.
Double-blind
Neither participants nor researchers know who receives treatment/placebo.
Social desirability bias
Tendency to respond in ways viewed favorably by others.
Qualitative
Data in non-numerical form (e.g., interviews).
Quantitative
Numerical data (e.g., surveys, scales).
Peer review
Evaluation of research by other experts before publication.
Replication
Repeating a study to see if findings are consistent.
Variables
Factors that can change or vary.
Directionality problem
In correlation, uncertainty about which variable causes the other.
Third variable problem
Correlation may be influenced by another unmeasured factor.
Survey technique
Gathering data via questionnaires or interviews.
Self-report bias
Inaccuracy in data when participants misreport behaviors/thoughts.
Institutional review board (IRB)
Committee ensuring ethical guidelines are followed.
Informed consent
Participants must be told about the study and agree to participate.
Informed assent
Agreement from minors/individuals not legally able to give consent.
Protection from harm
Participants must not face unnecessary physical/psychological risk.
Confidentiality
Protecting private participant information.
Deception
Misleading participants about true purpose (allowed only when justified).
Research confederates
Actors who secretly participate to aid the experiment.
Debriefing
Explaining the study to participants afterward, especially if deception was used.
Mean
Arithmetic average.
Median
Middle value in a data set.
Mode
Most frequently occurring score.
Range
Difference between highest and lowest values.
Normal curve
Symmetrical, bell-shaped distribution of data.
Variation
Degree to which scores differ from each other.
Skewness
Asymmetry in distribution of data.
Bimodal distribution
Distribution with two frequent peaks.
Standard deviation
Measure of spread around the mean.
Percentile rank
Percentage of scores equal to or below a given score.
Regression toward the mean
Extreme scores tend to return closer to average over time.
Scatterplot
Graph showing relationship between two variables.
Correlation coefficient (r)
Number from –1.0 to +1.0 showing strength/direction of correlation.
Effect size
Magnitude of a relationship or difference.
Statistical significance
Likelihood that results are not due to chance.