Topic 2 DV Flashcards

1
Q

What two scientific goals make up Correlation research?

A

Description and Prediction

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2
Q

What two scientific goals make up Experimental research?

A

Explanation and Control

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3
Q

Define causation

A

One factor DIRECTLY affects another factor

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4
Q

To show causation what must be demonstrated?

A
  1. Changing the 1st thing produces change in the 2nd

2. There is no other cause for the change

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5
Q

Define a population

A

Members of a specific group

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6
Q

What is a study population defined by?

A

Defined by the purposes of the experiment

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7
Q

Define a sample

A

Small subset of the population that represents the population

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8
Q

How is a representative sample achieved?

A

Through random sampling where each member has equal chance of selection

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9
Q

What is descriptive statistics?

A

Summarises the data collected from the sample

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10
Q

What is inferential statisitcs?

A

Generalise from the sample to the population

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11
Q

What two things must be considered when you can’t directly measure topic of interest?

A
  1. Property of interest - what you are trying to measure e.g. intelligence
  2. Dependent variable - a measurable value that must indirectly reflect the property of interest e.g. score on IQ test
    (the indirect measure is the operational definition of your property of interest)
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12
Q

What is validity?

A

A dependent variable is valid if it measures what it’s supposed to

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13
Q

What is a dependent variable?

A

A measurement taken
What is recorded
Depends on what the participant does

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14
Q

What is a threat of validity?

A

Confounding

Poor Operational definition -> invalid dependent variable

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15
Q

What is reliability?

A

A dependent variable is reliable if under the same conditions the same results are found and contains the minimum of measurement error

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16
Q

True or false

If a measure lacks reliability it will also lack validity?

A

True

17
Q

What is bias?

A

A biased dependent variable is consistently inaccurate in one direction e.g. always high, always low

18
Q

What is the ceiling effect?

A

When a task is too easy that all the results are very high

19
Q

What is the floor effect?

A

When a task is too hard that all the results are very low

20
Q

Describe a nominal scale

A
  • Categorises data WITHOUT ORDERING

- Numbers substitute for names e.g. gender, 1=F 2=M

21
Q

Describe an ordinal scale

A
  • Categorises data and ORDERS
  • Bigger means more
  • distance between the points is NOT CONSIDERED EQUAL
    e. g. placing 1st 2nd 3rd
22
Q

Describe an interval scale

A
  • Categorises, orders, and establishes an equal unit of measurement in the scale
  • We KNOW VALUE BETWEEN POINTS on the scale
  • Distance between points on the scale considered equal
    e. g. degrees celsius
23
Q

Describe a ratio scale

A
  • Categorises, orders, and establishes equal unit in the scale
  • CONTAINS A TRUE ZERO POINT
  • Allows ratio statements e.g. ‘twice as big’