EQ: How do scientists structure experiments?

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Presentation transcript:

EQ: How do scientists structure experiments?

Methods of Collecting Data Experiments (causation) Observations (nope) Interviews/Surveys (nope) Case Studies (nope)

Experiments Attempt to show a cause/effect relationship between two (or more) variables. Trying to prove that the independent variable (IV) causes a change in the dependent variable (DV). Anything that causes the DV to change that is not the IV is called a confounding variable. =

Parts of an Experiment Control: remains constant Variable: 3 quantities that can change: 1. Independent Variable (IV): the quantity scientists manipulate – what CAUSES the change EX: “A pair of shoes makes you jump higher.” SHOES = the IV

2. Dependent Variable (DV): the change you are measuring EX: the amount higher you’ll jump Both variables must be measurable/operationalized 3. Confounding Variable (CV): alternate causation (other than the IV) for the change in DV EX: drinking Red Bull before jumping Experimenter’s goal = to control as many CVs as possible X  Y

Causality Exercises Identify IV, DV, CVs Do these pieces show causality or not?

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COFFEE PERKS UP SEX If you want to perk up your sex life, drink more coffee. That’s the suggestion of a study published recently in a leading health journal. Researchers found that couples who regularly drank coffee reported nearly three times as much sexual activity as couples who did not drink coffee. Coffee sales are expected to increase.

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Experiments have hypothesis Research Hypothesis Null Hypothesis Expected outcome of the study. A change will occur. No change will occur. By the end of the experiment, you will reject one of these hypothesis.

An experiment to measure the effects of caffeine on stress levels Independent Variable Dependent Variable Research Hypothesis Null Hypothesis Possible Confounding Variables Amount of caffeine present in coffee given to participants. Scores on a stress questionnaire. Participants who are given a high dose of caffeine in a coffee drink will report higher levels of stress. There will be no difference in the amount of stress reported by participants who receive a high dose and those who receive no dose of caffeine. Caffeine in drinks participant has drunk before the experiment, feelings of stress from the experimental situation.