MCRS part A week 3 Flashcards

1
Q

What are the three building blocks of a hypothesis

A
  1. Units of analysis (The subjects your researching, it is a constant, like ‘students’ or ‘women’)
  2. Variables (Varying characteristics of the units of analysis)
  3. Values (All the possible values or categories of your variables)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What are the 4 steps of operationalisation?

A
  1. Come up with a measurable definition of your concept
  2. Choose indicators
  3. Develop questions/statements to test your indicators
  4. Assign measurement scales
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What is a ‘Likert-scale’

A

A multiple-point measurement scale, usually going from totally agree to totally disagree with a neutral point in the middle.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What is a ‘semantic differential scale’

A

A measurement scale where you use two contrasting words and let people indicate which word best describes their opinion.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What is operationalisation?

A

It is making your concepts measurable. It is important, because your research should be replicable and it should be able to be compared to other, similar, researches.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What is a ‘manifest’ variable

A

A variable that is directly measurable (like sex, age and education)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What is a ‘latent’ variable

A

A variable that is not directly measurable (like someone’s trust in something or someone’s attitude), it should be operationalised first

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Basic definition of ‘validity’

A

Degree to which our measure is free from systematic error (bias). So, do you measure what you want to measure?

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Basic definition of ‘reliability’

A

Degree to which our measure is free from random error (noise). Do you measure consistently?

How well did you know this?
1
Not at all
2
3
4
5
Perfectly