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The difference between standard deviation and value at risk is:
Double-masked Design
A study design in which neither the participants nor the researchers know who belongs to the control group and who belongs to the experimental group, minimizing bias.
Experimenter Expectancies
The potential influence that a researcher's beliefs, hopes, or biases can have on the outcome of an experiment, often impacting the behavior being studied.
Rosenthal Effect
The phenomenon in which the higher expectations placed upon individuals either by themselves or others lead to better performance; also known as the Pygmalion effect.
Quasi-experimental Designs
Research methods that aim to evaluate interventions without using random assignment, often by comparing groups that naturally exist.
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