ch 1 sac revision (1A All, 1B) Flashcards

1
Q

research question

A

 a testable,
achievable, and specific question
that an investigation sets out to
answer

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2
Q

hypothesis

A

 a testable statement
that describes how experimenters
expect the dependent variable
to change as the independent
variable changes

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3
Q

opinion

A

the personal belief or
viewpoint of an individual which
typically has not been verified
as fact

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4
Q

controlled exp

A

an investigation into the effect of
an independent variable on a
dependent variable, while keeping
all other factors constant

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5
Q

reliable

A

describes an experiment,
tool, or measurement that
produces similar results when
repeated and reproduced

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6
Q

bias

A

an inclination to favour a
particular position or outcome

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7
Q

error

A

differences between
observed values and the true value

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8
Q

aim

A

the objective of an
investigation or experiment

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9
Q

dv

A

the factor/s measured in the
experiment that are changed when
the IV is manipulated

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10
Q

iv

A

the factor/s that is/are
manipulated in an experiment

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11
Q

controlled variable

A

 a factor that
is kept constant throughout the
experiment. Also known as a
constant variable

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12
Q

uncontrolled/extraneous variable

A

 a factor
that is not kept constant or
accounted for throughout the
experiment. Also known as an
extraneous variable

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13
Q

3 approaches to bioethics

A

consequence based
rule based
virtues based

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14
Q

consequences based

A

A consequence-based approach aims to maximise positive outcomes while minimising
negative outcomes. Its goal is to achieve the greatest good for the greatest number of
stakeholders. It can be characterised by the saying “the end justifies the means”.

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15
Q

rule based

A

A rule-based approach promotes the “means” above the “end”. It expects a decision
maker to follow a rule or procedure without questioning it, regardless of individual
circumstances or context.

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16
Q

virtues based

A

A virtues-based approach promotes decision making based on the “moral compass” of
the person who is making the decision. People are expected to act in a way that is good,
kind, and honest.

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17
Q

5 ethical concepts

A

integrity
beneficence
non maleficence
justice
respect

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18
Q

integrity

A

Integrity is a commitment
to truth. A person who has
integrity acts in a way
consistent with what they
know to be right. Integrity
has a very similar meaning
to honesty. – It also refers to openness to
scrutiny and criticism

19
Q

justice

A

justice is similar in meaning to
fairness. It emphasises the fair
distribution of resources and
equal access to benefits of an
action. But where fairness aims to
treat everyone the same, justice
aims to treat people as they
should be treated.

20
Q

beneficence

A

Beneficence is similar in
meaning to kindness. It means
seeking to maximise the
benefits for others. It promotes
the wellbeing of others.

21
Q

non maleficence

A

Non-maleficence is a commitment to minimising
harm, even, sometimes, at the cost of restricting
some people’s freedoms.

22
Q

respect

A

Respect is similar in meaning to
consideration. It means upholding the value
of others including their welfare, beliefs,
freedoms, and autonomy. It promotes the
freedom of others to make decisions for
themselves and their protection from
persecution or exploitation

23
Q

method

A
  • equipmentused.
  • the steps followed, in the order they
    were followed.
  • what was measured, how, and when
    it was measured.
    The aim here is to allow other students
    or scientists to repeat your experiment
    to verify the results you achieved.
24
Q

results

A

The results section is where you report the findings of
your research. If you have collected data, you will
present it in this section of your report. It’s not usual
to list all of the raw data, but instead to present
transformed data. That is, tables or graphs that
represent the data and show any trends or
relationships between the dependent and
independent variable.

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discussion
* whether the results support the hypothesis (or disprove the null hypothesis), including any information about the statistical significance of the results and the confidence you have that the hypothesis is supported. * whether your results are similar, or different, to those obtained by other students or classes, or to similar research performed by others. * explanations of the results, based on biological theories or models. If the hypothesis was not supported, an assessment on whether this was due to flaws in the experiment or whether it indicates that the model on which you based your hypothesis is flawed. * any factors which may be weaknesses, such as:– any systematic or random errors you noticed.– the precision of the data (or lack thereof)– limitations of the study – including the range of data, and whether it is reasonable to assume that a trend will continue outside the range measured. * modifications that could be made to the method to refine the research if it were to be repeated.
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conclusion
The conclusion is very similar to the abstract, but a little longer and in more detail. It is still short, however, and the main focus of the conclusion is: * to restate the hypothesis you were testing. * to state whether the hypothesis was supported or refuted, and how confident you are. * to reiterate the importance or meaning of the results if the hypothesis was supported. * if the hypothesis was not supported, restate whether the causes is likely to be a flawed experimental design, or whether your model needs to be revised. * the impact of the findings on scientific knowledge or application to society
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Opinion vs. anecdote vs. evidence
Opinions are views or judgements formed about something, not necessarily based on fact. Anecdotes are brief revealing stories about incidents or people. Neither opinions nor anecdotes make for good science
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drawing conclusions
1) Assuming that correlation means causation Just because two things happen together does not mean that one causes the other. This is why a controlled experiment, in which all extraneous variables are meticulously controlled, is so important (and that can be hard to do!). 2) Assuming that a trend continues outside the range measured This is why identifying limitations of your research is so important
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Accuracy
Accuracy refers to how close the results are to the truth.
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Precision
Precision refers to how similar the results are to each other.
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Reliability
Reliability is very closely related to precision. In fact, the two terms are often used interchangeably, but reliability also includes the idea of the significance of the results. That is, the confidence that the results are not due to chance.
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Random errors
Random errors are caused by uncontrolled extraneous variables.
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Systematic errors
Systematic errors are caused by faulty equipment.
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Limitations
Limitations may include such things as: * a lack of time. * too small a sample size. * the use of equipment that was not ideal. * acknowledged bias in the researcher. * a narrow scope of application
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Primary vs. secondary data
If you perform an experiment and record results which you then use to answer your research question, then you are using primary data. If you obtain data from someone else (another student, an online case study, etc.) and use it to answer your research question, then you are using secondary data
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Quantitative vs. qualitative data
Quantitativedata is data represented by numbers. Qualitativedata is data that cannot be represented by numbers. When possible, quantitative data is much preferred over qualitative data. This is harder to achieve in some types of experiments, but if you think hard enough, you should be able to quantify your data
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Transforming data
The type of graph you use will depend on the type of data you have collected. Numerical data is typically graphed using a scatter plot or line graph. Categorical data is usually graphed using a bar or column graph (or sometimes a pie chart).
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Examples of possible risks in a school laboratory experiment
Examples of possible risks in a school laboratory experiment * Sharp objects * Flammable materials – especially if you are using an ignition source such as a Bunsen burner * Hazardous chemicals * Open flames or hot surfaces * Potentially pathogenic organisms * Allergens The risk posed by these hazards may be accentuated by contextual factors, such as: * the number of students in the room / crowding. * the behaviour of the class. * the experience of the staff and students.
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strategies to minimise the risk of injury
Some suggestions include such things as: * wearing personal protective equipment such as a lab coat, glasses, gloves, and enclosed shoes. * using a fume hood. * tying back long hair. * paying attention to cleanliness – such as handwashing. * wiping down benches before and after use with disinfectant. * avoiding overcrowding of the space. Image byAnna Shvets/ Pexels.com license * removing clutter from benchtops
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scientific methodologies
Here are the main methodologies: * Classification and identification * Controlled experiment more but these are most relevant
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Ideas for minimising bias in various experiments
Take a large number of samples. * Decide where samples will be taken before arriving on site. * Use a random number generator to choose sampling sites. * Decide the rules for counting before starting. For example, will you count species that are partially inside the quadrat, or only include individuals that are more than 50% inside the quadrat. * Use the same sampling technique consistently for all samples. * Make sure that any equipment used is calibrated before use
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why have a neg ctrl
A control provides a basis for comparison, demonstrating the effect of the IV on the DV.
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why replicate
An experiment must always be repeated. The more times it is repeated, the more reliable the results are. If an experiment is only conducted once (or even a few times), no conclusion can be drawn from the results.
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