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Falsifiable
A theory or hypothesis is scientific only if it can be tested and shown to be false
Five characteristics of science
Deterministic, empirical, falsifiable, provisional, public
Deterministic
Phenomena are causally determined by preceding events or natural laws that can be discovered and explained
Empirical
Based on measurable, objective, reproducible evidence, not pure reason, emotion, or subjective experience
Provisional
Scientific theories remain open to revision when new evidence becomes available
Public (science)
Science is a public good that benefits society and should be available to all
Pseudoscience
Appears scientific but relies on consensus-based claims, anecdotal evidence, and unfalsifiable claims, and lacks peer review and self-correction
Anecdotal evidence
Personal experience or testimonies used as evidence (example: 'The Earth is flat because my senses tell me so')
Construct
A hypothetical variable that is not directly observable (example: happiness, memory quality, intelligence)
Operational definition
A description of the procedures, tests, or actions by which a construct is observed or measured
Construct validity
The degree to which the operational definition is capable of measuring the construct of interest (a priority for all three claims)
Face validity
The apparent soundness of a measure: the items look appropriate for measuring the construct, whether or not they actually are
Participant variable
A pre-existing individual difference (age, gender, race) that is measured, not manipulated, and not under the experimenter's control
Predictor variable
An explanatory variable that predicts the outcome variable
Independent variable
A predictor variable that is manipulated and under the experimenter's control
Outcome variable
The variable that is measured (behaviors, opinions, physiological responses)
Dependent variable
An outcome variable that depends on the levels of a manipulated independent variable (experiments only)
Descriptive research design
Asks about the frequency of levels of a single variable; supports frequency/value claims
Correlational research design
Asks about the relationship between two or more measured variables; supports association claims
Experimental research design
Manipulates one variable and measures the effect on another; supports causal claims
Frequency/value claim
A claim from a descriptive study about one variable (example: 18.5% of US adults report mental health challenges)
Association claim
A claim from a correlational study that two measured variables are related
Causal claim
A claim from an experiment that one variable causes a change in another ('no causation without manipulation')
Observation (method)
Watching behavior: actions, ability, performance, archives. Also includes tests scored against a correct answer, like memory tests
Self-report (method)
Asking questions about ideas: attitudes, beliefs, feelings, memories
Physiological monitoring
Measuring biological responses or physical states, usually involuntary (example: cortisol, heart rate)
Method match
Actions = observation; ideas = self-report; physical state = monitoring
Categorical variable
Levels are groups or words that vary in quality or kind (example: on-campus vs. off-campus housing)
Continuous variable
Values are meaningful numbers along a scale (at least 6 values) that vary in quantity or amount (example: time to run a mile)
Reliability
The consistency of a measure: if you repeat the measure, do you get the same result?
Validity
The accuracy of a measure: does it actually hit the construct you are trying to measure?
Consistent scores but fails to predict the real behavior
Good reliability, poor validity
Comparing a new test to an established, validated test
Tests validity
Giving the same test again a month later
Tests reliability (test-retest)
Four big validities
Construct, internal, external, statistical
External validity
Whether results generalize to other people, settings, and times
Internal validity
Whether a causal conclusion is justified (no confounds)
Statistical validity
Whether the statistical conclusions are accurate and reasonable
Tuskegee Syphilis Study
1932 to 1972 US Public Health Service study in which men with syphilis went untreated even after penicillin became the standard treatment in the mid-1940s
Belmont Report
1978 report that set ethical principles for human research; a result of the Tuskegee study
Respect for persons
Acknowledge autonomy and protect those with diminished autonomy; people can make their own decisions
Beneficence
Do no harm; maximize possible benefits and minimize possible harms (good risk-benefit ratio)
Justice
Fair procedures and outcomes in selecting research participants; everyone should participate and benefit
Privacy and confidentiality
Not disclosing personal or identifying information about a participant beyond what the study requires
Right to withdraw
Participants can opt out at any point with no negative consequences
Informed consent
Giving people enough information before the study so they can make a voluntary choice to participate
Deception and debriefing
Researchers may deceive participants only when knowing the purpose would affect results; they must give the correct information at the end
Institutional Review Board (IRB)
An independent group that reviews research to make sure ethical standards are met
Replication
Repeating a study to test whether a finding is reliable
Direct replication
Recreates the original study's methods, materials, and procedures as closely as possible
Conceptual replication
Tests the same underlying idea using different methods, stimuli, or samples to examine generalizability
Why replication matters
Confirms findings are real vs. chance, error, or fraud; strengthens theories; supports external validity
Hyndman and Bisin (2026) result
Replication of Ariely and Wertenbroch (2002) found no significant effect of deadline type; the original article was later retracted