3.2 - Experimentation Flashcards

(31 cards)

1
Q

Validity

A

Variables controlled so that any measured effect is likely to be due to the independent variable

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2
Q

Reliability

A

Consistent values in repeats and independent replicates

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3
Q

Accuracy

A

Data or means of data sets are close to the true value

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4
Q

Precision

A

Measured values are close to each other

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5
Q

Pilot Study

A

Used to help plan procedures, assess validity and check techniques

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6
Q

Independent Variable

A

The variable that is changed in a scientific experiment

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7
Q

Dependent Variable

A

The variable that is being measured in a scientific experiment

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8
Q

Control Group

A

Should always be included for comparison to the treatment group

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9
Q

Qualitative Data

A

Subjective and descriptive

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10
Q

Quantitative Data

A

Measured objectively usually with a numerical value

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11
Q

Ranked data

A

Refers to the data transformation in which numerical values are replaced by their rank when the data are sorted from lowest to highest

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12
Q

Simple Experiment

A

Measuring the effect of one independent variable on a dependent variable
It is easier to conduct and easier to control with respect to laboratory conditions

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13
Q

Multifactorial Experiment

A

Involves a combination of more than one independent variable or combination of treatments

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14
Q

Observational Studies

A

Researchers must use groups that already exist- and in this regard no truly independent variable exist
Good at detecting correlation
Less useful for determining causation they do not test a hypothesis

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15
Q

Confounding Variables

A
  • other variables besides the independent variables may affect the dependent variable
  • these confounding variables must be held constant or at least monitored so that their effect on the results can be accounted for in analysis
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16
Q

Randomised Block

A
  • Can be used where confounding variables cannot easily be controlled
  • Randomised blocks of treatment and control groups can be distributed in such a way that the influence of any confounding variable is likely to be the same across the treatment and control groups
17
Q

Control Results

A
  • Used for comparison with the results of the treatment groups
  • Positive and negative controls may be used
18
Q

Negative controls

A
  • Provides results in the absence of treatment
19
Q

Positive Control

A
  • A treatment that is included to check that the system can detect a positive result when it occurs
20
Q

Placebos

A

Can be included as a treatment without the presence of the independent variable being investigated

21
Q

Placebo Effect

A

Measurement change in the dependent variable as a result of a patient’s expectations rather than changes in the independent variable

22
Q

In Vitro

A
  • Refers to the technique of performing a given procedure in a controlled environment outside of a living organism
23
Q

In Vivo

A

Refers to experimentation using a whole living organism

24
Q

Advantages of In Vivo

A

Results translate into a more precise understanding of what happens in a living organism

25
Advantages of In Vitro
Less time consuming Less expensive
26
Disadvantages of In Vivo
More expensive More time consuming
27
Disadvantages of In Vitro
Results often do not translate into a precise understanding of what happens in a living organism
28
Representative Sample
- It is impractical to measure every individual in a population and so a representative sample of the population should be selected - more variable populations require a larger sample size
29
Random Sampling
- Members of the population have an equal chance of being selected - poor representation - No selection bias
30
Systematic Sampling
- Members of a population are selected at regular intervals - More representative sample of the overall population - Not all members of the population have an equal chance of being selected it can be subjected to selection bias
31
Stratified Sampling
- The population is divided into categories that are then sampled proportionally - Highly representative however setting up this form of sampling requires the researcher to know the proportions of each group prior to beginning