Scientific Skills and Bioethics Flashcards

1
Q

Define accuracy and precision

A
  • Accuracy refers to how close an experimental measurement is to the known or true value
    • Bull’s eye on a target
  • Precision refers to how close multiple measurements of the same investigation are to each other
    • Arrows concentrated in a certain area

TIP TO REMEMBER: Accurate data is close to the actual value. Precise data is when multiple measurements are close together. (AA and PC).

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2
Q

Define repeatability and reproducibility

A
  • Repeatability refers to how close measurements are to each other in identical conditions
    • The observer repeating the experiment and producing the same results
  • Reproducibility refers to how close results are when the same variable is being measured under different conditions
    • Other people repeating the experiment and producing the same results

NOTE: Precision can be determined by an experiment’s repeatability and reproducibility. An experiment with high precision, repeatability and reproducibility is considered reliable.

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3
Q

Define validity

Internal and external

A
  • Internal validity refers to how successfully an experiment measures what it was intended to measure
  • External validity refers to the extent to which research findings can be generalised to a greater population
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4
Q

Provide examples of potential limitations in experiments

A
  • No access to specific equipment (e.g. not having a micropipette to collect accurate measurements)
  • Inability to control variables (e.g. room temperature and humidity)
  • Inability to repeat experiments to determine repeatability and reproducibility
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5
Q

Define personal errors

Mistakes

A
  • Personal errors involve mistakes or miscalculations made by the observer
  • E.g. misreading numbers on a scale
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6
Q

Explain random errors

A
  • Random errors are unpredictable (chance) variations in measurements that affect the precision of an experiment
  • Can be caused sudden environmental changes or unreliable measuring instruments
  • The effect of random errors can be reduced by taking multiple measurements or increasing sample sizes
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7
Q

Explain systematic errors

A
  • Systematic errors affect the accuracy of a measurement and cannot be improved by repeating an experiment
  • They are usually due to equipment or system errors
  • Can be reduced by using equipment carefully, calibrating equipment before use and reviewing the experimental method
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8
Q

List and define the different experimental variables

A
  • The independent variable is the variable that is changed or manipulated
  • The dependent variable is the variable that is influenced by the independent variable and is measured
  • Control variables are variables that are kept constant during the entire experiment (helps ensure that results are caused solely by changes in the IV)
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9
Q

Define the three ethical approaches

A
  • The consequence-based approach involves maximising positive outcomes while minimising negative outcomes
  • The rule-based approach involves following ethical rules, regardless of its potential consequences or outcomes
  • The virtues-based approach involves making decisions based on one’s own moral compass (e.g. being honest is inherently good, regardless of whether it causes you to break a rule or cause harm)

NOTE: The consequence-based approach is often characterised by the saying “the end justifies the means.”

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10
Q

Explain integrity

A
  • Integrity refers to a commitment to honesty, ethical conduct, and accountability in all aspects of practice, research, and decision-making
  • It involves the honest reporting of all sources of information and communication of results, whether favourable or unfavourable in ways that permit scrutiny and contribute to public knowledge and understanding
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11
Q

Define justice

A
  • Justice refers to the fair distribution and access to the benefits of an action
  • Moral obligation to ensure that there is fair consideration of competing claims
  • No unfair burden on a particular group from an action
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12
Q

Define beneficence

A
  • Beneficence refers to the commitment to maximising benefits and minimising risks and harms involved in a particular course of action
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13
Q

Define non-maleficence

A
  • Non-maleficence refers to the commitment to minimising harm, even (sometimes) at the cost of restricting people’s freedom
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14
Q

Define respect

A
  • Respect refers to recognizing and honoring the autonomy and rights of individuals, particularly in healthcare and research, by involving them in decision-making and treating them with dignity and fairness
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15
Q

Outline the purpose of positive and negative controls

A
  • Positive control is a group that is exposed to experimental treatment that produces a known result
    • Used to confirm that the system is functioning correctly
  • Negative control is a group that is not exposed to the experimental treatment
    • Provides a baseline for comparison
    • Used to identify and eliminate extraneous variables
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16
Q

Structure of data analysis questions

A
  • Analysis requires the selection of aspects of the data and explaining their implications
  • 1 mark is given for each aspect of the data being analysed (make separate points for each mark)
  • Can talk about..
    • The precision of the results due to minimal difference in measurements between trials
    • All results showing an increase/decrease in the dependent variable regardless of change in the independent variable
      • E.g. All results show an increase in temperature, which indicates that the yeast was respiring in all flasks regardless of the type of sugar/sugar substitute.
    • The trial that produced the most significant change (explaining what this indicates)
      • E.g. Glucose produced the biggest temperature changes, meaning that the yeast produced the most amount of heat when exposed to glucose. Thus, glucose caused a higher respiration rate and was metabolised more effectively than the other sugars/sugar substitutes.
    • The trial that produced the least significant change (explaining what this indicates)