Experimental Methods: Aims, IV's, DV's and Hypotheses Flashcards

(43 cards)

1
Q

● What does IV stand for in research methods?

A

Independent Variable

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2
Q

● What does DV stand for in research methods?

A

Dependent Variable

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3
Q

● What is the IV in an experiment?

A

The variable that is changed or manipulated

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4
Q

● What is the DV in an experiment?

A

The variable that is measured

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5
Q

● What does operationalising a variable mean?

A

Making it specific and measurable

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6
Q

● Why do we operationalise variables?

A

To increase replicability/reliability

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7
Q

● Give an example of an operationalised DV.

A

Number of words recalled out of 30

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8
Q

● Give an example of an operationalised score.

A

Score out of 20

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9
Q

● What does DV stand for?

A

Dependent Variable

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10
Q

● What does operationalising improve?

A

Reliability

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11
Q

● What does a hypothesis do?

A

Predicts what will happen between variables

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12
Q

● What is an aim in research?

A

A general statement of what is being investigated

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13
Q

● What word should an aim start with?

A

To investigate

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14
Q

● What is a directional hypothesis also called?

A

One-tailed

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15
Q

● What is a non-directional hypothesis also called?

A

Two-tailed

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16
Q

● What is a null hypothesis?

A

Predicts no difference between conditions

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17
Q

● When is a directional hypothesis used?

A

When previous research shows a direction

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18
Q

● When is a non-directional hypothesis used?

A

When no previous research exists

19
Q

● Why is it important to state both sides of the IV?

A

To get full marks

20
Q

● What must you include in a hypothesis?

A

IV, DV, and both conditions

21
Q

▲ Which hypothesis would be used when previous research shows a clear trend?

A

Directional hypothesis

22
Q

▲ Which hypothesis would be used when there is no clear previous research?

A

Non-directional hypothesis

23
Q

▲ What type of hypothesis is this: ‘There will be a difference between the conditions’?

A

Non-directional

24
Q

▲ What type of hypothesis is this: ‘There will be no difference between the conditions’?

A

Null hypothesis

25
▲ What type of hypothesis is this: ‘There will be significantly faster reaction times when drinking Red Bull compared to water’?
Directional hypothesis
26
▲ Why must DVs be operationalised?
So they can be measured and replicated
27
▲ What happens if variables are not operationalised?
Research cannot be repeated
28
▲ What should you look for when identifying the IV in an experiment?
The different conditions
29
▲ Why is ‘memory’ not an operationalised variable?
It is too vague
30
▲ What is a better way to write ‘memory’ as a DV?
Number of words recalled out of 30
31
▲ Which part of a hypothesis shows the predicted direction?
The comparison between IV conditions
32
▲ Which type of hypothesis is this an example of: ‘There will be a significant difference in stress levels between students and teachers’?
Non-directional hypothesis
33
▲ What does it mean to say a DV is 'vague'?
It is not clearly measurable
34
▲ Why is ‘group 1 and group 2’ not acceptable in a hypothesis?
They are not specific
35
✪ Why must a hypothesis be written before a study begins?
To ensure the prediction is not based on the outcome
36
✪ How does operationalising variables improve replicability and reliability?
It allows other researchers to repeat the study in the same way
37
✪ Why must a directional hypothesis include both conditions of the IV and an operationalised DV?
To make the prediction specific and testable
38
✪ Why does using vague variables lower the internal validity of research?
Because results may not truly reflect what was intended to be measured
39
✪ How does operationalisation relate to internal validity?
Clear variables ensure the DV reflects the effect of the IV
40
✪ Why is writing a non-directional hypothesis more appropriate with limited previous research?
Because the outcome direction is unknown
41
✪ What would happen to the reliability of a study if the IV and DV are not operationalised?
Other researchers could not replicate it accurately
42
✪ Why is it inappropriate to use general labels like 'group 1' in hypotheses?
They do not clearly describe the IV conditions
43
✪ Why must the scale or measurement be included in the DV?
So it is measurable and replicable