Experimentation Flashcards

1
Q

What is validity?

A

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

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2
Q

What is reliability?

A

Consistent values in repeats and independent replicates.

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3
Q

What is accuracy?

A

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

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4
Q

What is precision?

A

Measured values are close to eachother.

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5
Q

What is a pilot study used to do?

A

• Help plan procedures, assess validity and check techniques.
• Allows evaluation and modification of
experimental design.
• Ensure an appropriate range of values for the independent variable.
• Allows the investigator to establish the number of repeat measurements required to give a representative value for each independent datum point.

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6
Q

What is an independent variable?

A

The variable that is changed in a scientific experiment.

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7
Q

What is the dependent variable?

A

The variable being measured in a scientific experiment.

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8
Q

Independent and dependent variables can be one of 2 things, what are they?

A

Continuous or discrete.

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9
Q

What do experiments involve?

A

The manipulation of the independent variable by the investigator.

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10
Q

What is the experimental treatment group compared to?

A

A control group.

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11
Q

Simple experiments:

A
  • changing 1 independent variable
  • commonly lab based studies
  • simple, variables can be controlled, easy analysis of results.
  • findings may not be applicable to a wider setting.
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12
Q

Multifactorial experiments:

A
  • changing more than 1 independent variable
  • investigators may use groups that already exist, so there is no truly independent variable.
  • examines complex interactions
  • time consuming, difficult to control all variables
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13
Q

What are observational studies good at?

A

Detecting correlation.

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14
Q

What are observational studies bad at?

A

They are less useful for determining causation. As they don’t directly test a hypothesis.

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15
Q

In observational studies why is the independent variable not directly controlled by the investigator?

A

For ethical or logistical reasons

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16
Q

Why do confounding variables occur?

A

Due to the complexities of biological systems, other variables besides the independent variable may affect the dependent variable.

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17
Q

Why must confounding variables be held constant if possible or atleast monitored?

A

So that their effect in the results can be accounted for in the analysis.

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18
Q

When is randomised block design used?

A

In cases where confounding variable cannot be easily controlled.

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19
Q

Randomised blocks of treatment and control groups can be distributed in such a way that…

A

The influence of any confounding variable is likely to be the same across the treatment and control groups.

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20
Q

What are control results used for?

A

Comparison with the results of treatment groups.

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21
Q

What is a negative control?

A

Provides the results in the absence of a treatment.

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22
Q

What is a positive control?

A

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

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23
Q

What are placebos?

A

They can be included as a treatment without the presence of the independent variable being investigated.

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24
Q

What is the placebo affect?

A

A measurable change in the dependent variable as a result of a patient’s expectations, rather than changes in the independent variable.

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25
Q

Where is impractical to measure every individual, a. ——— ——— of a population is selected.

A

Representative sample.

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26
Q

What is in vitro?

A

Technique of performing a given procedure in a controlled environment outside of a living organism

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27
Q

What is in vivo?

A

Refers to experimentation using a whole living organism

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28
Q

Advantages of in vitro

A
  • Controlled Environment
  • Reproducibility
  • Cost effective
  • Ethical considerations
  • Faster results
  • Isolation of variables
  • Easier Sample Analysis
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29
Q

Disadvantages of in vitro

A
  • Lack of Biological Complexity
  • Limited Predictive Power
  • Absence of Metabolism
  • External Influences
  • Extrapolation Issues,
  • Potential for Contamination
  • Time-Consuming Setup
30
Q

Advantages of in vivo

A
  • Biological Relevance
  • Metabolic and Enzymatic Effects
  • Interaction with Complex Systems
  • More Reliable for Drug Testing
  • Long-Term Effects Can Be Studied
  • More Accurate Dosage Information
  • Realistic Response to Environmental Factors
31
Q

Disadvantages of in vivo

A
  • Ethical Concerns
  • Expensive and Time-Consuming
  • Complex and Difficult to Control
  • Variability Between Organisms
  • Regulatory and Legal Restrictions
  • Difficult Data Interpretation
  • Risk of Adverse Effects
32
Q

Examples of in vitro experiments:

A

Cells growing in culture medium, proteins in solution, purified organelles.

33
Q

When is representative sample of the population selected?

A

When it is impractical to measure every individual.

34
Q

What determines the appropriate sample size?

A

The extent of the natural variation within a population.

35
Q

More variable populations require —— sample size

36
Q

A representative sample should share the same … as the population as a whole

A

The same mean and the same degree of variation about the mean.

37
Q

What is random sampling?

A

Members of the population have an equal chance of being selected.

38
Q

What is systematic sampling?

A

Members of a population are selected at regular intervals.

39
Q

What is stratified sampling?

A

The population is divided into categories that are then sampled proportionally.

40
Q

What may variation in experimental results be due to?

A

The reliability of measurement methods and/or inherent variation in the specimens.

41
Q

How can the reliability of measuring instruments or procedures be determined?

A

By repeated measurements or readings of an individual datum point.

42
Q

What indicates the precision of the measurement instrument or procedure but not its accuracy?

A

The variation in measurements.

43
Q

How can the natural variation in the biological material being used be determined?

A

By measuring a sample of individuals from the population.

44
Q

What will a mean of repeated measurements give you?

A

An indication of the true value being measured.

45
Q

What is the range of values a measure of?

A

The extent of variation in the results.

46
Q

If there is a narrow range of values then the variation is ——

47
Q

Independent replication should be carried out to produce…

A

Independent data sets.

48
Q

Overall results can only be considered reliable if they…

A

Can be achieved consistently.

49
Q

These independent data sets should be compared ti determine

A

The reliability of results.

50
Q

Discrete and continuous variables give rise to…

A

Qualitative, quantitative or ranked data.

51
Q

Qualitative data?

A

Subjective and descriptive

52
Q

Quantitative data?

A

Can be measured objectively, usually with a numerical value.

53
Q

Ranked data?

A

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

54
Q

The type of variables being investigated has consequences for any…

A

Graphical display or statistical tests that may be used.

55
Q

What is the mean

A

Average of numbers

56
Q

What is the median?

A

The middle number

57
Q

What is the mode?

A

The most frequent number.

58
Q

What is the range?

A

Minimum and maximum number.

59
Q

What is the interquartile range?

A

Measure that indicates the extent to which the central 50% of values within the data are dispersed. It is based upon and related to the median.

60
Q

What are boxplots?

A

They show variation within and between data sets.

61
Q

What are error bars?

A

Lines through a point on a graph that show the variation within the data.

62
Q

What does statistical significance mean?

A

That results that are seen are most likely not due to chance or sampling error.

It is unlikely to be due to chance alone.

63
Q

Correlation exists if?

A

There is a relationship between 2 variables.

64
Q

Correlation is…

A

An association and does not only causation.

65
Q

Causation exists if?

A

The changes in the values of the independent variable are known to cause changes to the value of the dependent variable.

66
Q

When does positive correlation exist?

A

When an increase in 1 variable is accompanied by an increase in the other variable.

67
Q

When does negative correlation exist?

A

When an increase in 1 variable is accompanied by a decrease in the other variable.

68
Q

Strength of correlation is proportional to…

A

Spread of values from line of best fit.

69
Q

What is a confounding variable

A

Any factor affecting the dependent variable that is not the independent variable