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Empirical
uses objective, operational definitions, observable, concrete evidence based on scientific method
operational definitions
defining variables in a specific, measurable way
inter-rater reliability
2+ researchers measure the variables and make similar conclusions
test-retest
same group of participants do the same study and should have similar results
replicable
other researchers who conduct the study should have the same or similar results
Internal (face) validity
are confounding variables controlled for? did the IV cause a change in the DV?
external validity
can the results be generalized?
ecological validity
do results apply to other real-world settings/situations?
construct validity
how well are the ideas (constructs) operationalized?
temporal validity
do the findings still apply today?
demand characteristics
when participants act differently
hawthorne effect
participants act to please the researcher, meet expectations
screw you effect
participants want to purposely mess up the experiment
APA Ethical Guidelines
Informed Consent, Deception (justified), Protect from Risk and Harm, Anonymity/Confidentiality, Debriefing, Freedom from Coercion, Humane treatment of Animals
Target Population
population you want to study
random sample
each member has an equal chance of inclusion
convenience sample
choose participants who are easily available
representative sample
participants have demographics that reflect the population
self-selected sample
participants volunteer to be in the study
generalizability
do the results apply to the population? (external validity)
quantitative
numerical, objective, cause-effect relationship
qualitative
narrative data, stories, descriptions
independent variables
manipulated by the researcher (cause)
dependent variable
measured (the effect)
control group
does not receive the IV
experimental group
receives the IV
Independent Measures Design
participants are assigned to 2 different groups and tested (use random assignment to control for confounding variables)
Repeated Measures Design
same group of participants is used for each condition
Confounding variables
any variable that is uncontrolled for and could affect the IV or DV
random assignment
equal chance of being put into the experimental and control conditions to minimize confounding variables
single-blind design
participants don’t know which group they are in
double-blind design
both participants and researchers don’t know which group they are in
placebo effect
our mind makes the dose - the effect of non-effective treatments due to our beliefs
quasi-experiments
does not use random assignment because it is unethical or impossible; can’t infer cause and effect
Experiments
can determine cause and effect, but low ecological validity and time consuming
Case studies
detailed, allowed researchers to go in-depth with rare phenomena, but not generalizable and may not be ethical
Naturalistic observation
high ecological validity, but low control and cannot determine causation (many confounding variables)
positive correlation
variables move in the same direction
negative correlation
variables move in opposite directions
correlation coefficient
sign tells you positive or negative; the greater the absolute value of the number, the stronger the correlation
ethnocentric
centered around a specific cultural group
androcentric
centered on males
gynocentric
centered on females