3.2 - Experimentation Flashcards

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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
Q

Advantages of In Vitro

A

Less time consuming
Less expensive

26
Q

Disadvantages of In Vivo

A

More expensive
More time consuming

27
Q

Disadvantages of In Vitro

A

Results often do not translate into a precise understanding of what happens in a living organism

28
Q

Representative Sample

A
  • 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
Q

Random Sampling

A
  • Members of the population have an equal chance of being selected
  • poor representation
  • No selection bias
30
Q

Systematic Sampling

A
  • 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
Q

Stratified Sampling

A
  • 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