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Operational Definition
In a study, it is a clear, specific explanation of how a variable is measured.
Target population
The entire group you want to study
Random Sample
A fair way of choosing people from the target population so everyone has an equal chance
Representative Sample
A smaller group that actually matches the larger population in important ways (age, gender, background, etc)
Random Assignment
Once you have your sample, you randomly place each participant into an experimental group or a control group
Sampling Bias
When some members of the population have a better or worse chance of being included in the study
Convenience Sample
A sample chosen based on ease of access rather than random selection
You can generalize if…
the sample is representative of the target population
random sampling was used
large enough sample to reflect diversity
procedures were clear and unbiased
naturalistic observation
Watching participants in their natural environment without interfering
Case study
In-depth examination of a rare event with an individual or small group
meta-analysis
a statistical method of combining results from many different studies on the same topic to look for overall trends
correlational study
examining the relationship between two or more variables
experiment
researchers manipulates one or more variables (independent variables) and measures the outcome (dependent variables) to test for cause and effect
informed consent
a person voluntarily agrees to participate in a study after receiving and understanding accurate information about its nature, risks, benefits, and alternatives
Safety/minimizing harm
protection, A persons health and safety is prioritized over scientific discovery
confidentiality
privacy, can’t share names or a singular persons results but can share average group results.
debrief
Results, intention to share purpose of deception
independent variable
the factor that an experimenter manipulates or changes to observe its effect on a dependent variable (DV), which is the measured outcome
dependent variable
the outcome or behavior that is measured in an experiment to see if it is affected by a change in the independent variable
confounding variable
a third, unmeasured variable that influences both the independent and dependent variables in a study, making it difficult to determine the true cause-and-effect relationship between the two variables of interest.
experimenter bias
the unconscious influence of a researcher's expectations on an experiment's design, conduct, and interpretation, leading to skewed results.
single-blind experiment
only the participants are unaware of which treatment or intervention they are receiving, while the researchers administering the study know the assigned conditions
double-blind experiment
a research design where neither the participants nor the experimenters know who is receiving the actual treatment and who is receiving a placebo or control.