Difference Testing Flashcards

1
Q

What is the independent variable?

A

a variable that is changed or controlled

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2
Q

What is the dependent variable?

A

variable being tested and measured

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3
Q

What is quantitative data?

A

numbers

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4
Q

What is an alternate/research hypothesis?

A

the difference/relationship/effect you expect to find

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5
Q

What is a null hypothessiis?

A

That you expect to find no difference /relationship/effect

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6
Q

What are some qualitative methods?

A

observations, interviews and timelines

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7
Q

What are the strengths of quantitative research?

A

Large numbers

complex patterns

cause and effect

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8
Q

What are the limitations of quantitative research?

A

lack of depth

experience

controlled

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9
Q

What are the strengths of qualitative research?

A

context

depth

flexibility

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10
Q

What are the limitations of qualitative research?

A

ethics

time

subjectivity

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11
Q

What is paradigm

A

how you look at the world

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12
Q

What is ontology?

A

looks at the nature of reality

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13
Q

What is epistemology?

A

represents the nature of knowledge,

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14
Q

What is methodology?

A

how we gain that knowledge

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15
Q

What is positivism?

A

looking for truth/facts

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16
Q

what is interpretivism?

A

looking to understand people experiences

17
Q

What is pragmatism?

A

prioritise answering research question

18
Q

What is thematic analysis?

A

method for identifying and analysing patterns in qualitative data

19
Q

What are the 6 steps of thematic analysis?

A

Familiarise yourself with the data

Generate codes in data

searching for themes

reviewing themes

define and naming themes

produce the report

20
Q

What is content analysis?

A

aims to systematic, reduce and interrogate the content of data

21
Q

What is a deductive approach?

A

theory to observation/findings

22
Q

What is a inductive approach?

A

observation/findings to theory

23
Q

Please identify and briefly describe the four stages of content analysis (outlined in Bengtsson, 2016)

A

decontextualisation -
recontextualisation
Categorisation
Compilation

24
Q

what is Ordinal data?

A

Data that provides grounds for categorisation, has no mathematical meaning/value BUT a certain order is maintained

Eg frequenccy of PA
1-never
2-sometimes
3-always

25
Q

What is the left side of the grounded theory?

A

Method of analysis that generates abstract concepts.

Analytical tools used to identify and construcy theory.

what the researcher understands and can define in line with research area.

purposeful sampling to develop emerging categories and theory.

26
Q

What is nominal data?

A

Named’ data that provides grounds for categorisation – but has no mathematical meaning/value.

Eg gender-
1-female
2-male

27
Q

What is interval data?

A

Numbers that occur at regular intervals (where the intervals are the same between each number), but zero is arbitrary.
Eg temperature

28
Q

What is ratio data?

A

One value can be expressed relative to another (as a ratio) and zero has meaning.

Eg height and body mass

29
Q

Strengths of grounded theory?

A

Can use multiple types of data

new theories can emerge from coding into categories.

30
Q

4 types of data youtube video explained.

A

https://www.youtube.com/watch?v=yJpiUHbLKLU