Experimental Design Flashcards

1
Q

Observational Design

A

a research technique where you observe participants and phenomena in their most natural settings

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2
Q

Experimental Design

A

the process of carrying out research in an objective and controlled fashion so that precision is maximized and specific conclusions can be drawn regarding a hypothesis statement.

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3
Q

Why do you only change one variable?

A

To make an inference about one factor influencing the other, you want to change only the hypothesized factor between the groups you are comparing and hold all other factors constant

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4
Q

Independent/treatment variables

A

one or more likely casual variables that you can manipulate-> varied in systematic way across experimental units in experimental group

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5
Q

experimental group

A

a group that has been subjected to a hypothesized casual factor

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6
Q

control group

A

a group that has the baseline condition, providing a comparison to experimental group to asses the effect of treatment

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7
Q

Potentially confounding variables

A

other variables that are held constant between groups; factors that could interfere with the experiments outcome

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8
Q

Dependent, or outcome, variables

A

something that depends on other factors.

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9
Q

why do we want conclusions to be generalizable

A

experiments help us uncover potential cause and effect relationships underlying a general pattern

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10
Q

Scope of Inference

A

can we say something about the world in general and not just a specific circumstance

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11
Q

Replicates (replicate control/experimental treatments)

A
  • achieved by applying treatment to multiple experimental units: ex. individual student, Petri dish
    • what inference do you want to draw → individual, population, or community
  • allows you to reduce uncertainty + improve generality of results
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12
Q

increase scope of inference → repeat the experiment (why?)

A
  • natural variation = always among experimental unit
    • increase confidence in results → assign experimental units randomly to groups if possible → won’t differ by something that could confound results
  • using replicates increases the chance that differences you observe among groups/treatments = due to experimental manipulation and not some other confounding factor
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13
Q

Hypothesis

A

proposes an explanation for a pattern → ,ust make clear the evidence that would support/disprove the explanation

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14
Q

falsable

A

should be able to show the hypothesis = wrong through testing

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