Academic skills Flashcards

1
Q

List the features of qualitative methods of research

A
  • words, understanding
  • purposive sampling
  • social sciences, soft, subjective
  • inquiry from inside
  • meaning of behaviours, broad focus
  • discovery, gaining knowledge, understanding actions
  • practitioner as human instrument to gather data, prescriptive, personal
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2
Q

List the features of quantitative methods of research

A
  • numbers, explanation
  • statistical sampling
  • physical science, hard, objective
  • inquiry from the outside
  • cause and effect relationships
  • theory/explanation testing and development
  • researcher descriptive, impersonal
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3
Q

What are the common types of quantitative research designs?

A
  • descriptive
  • comparative
  • relationship/causal
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4
Q

What is a descriptive research design?

A
  • wanting to understand a situation, facts
  • describe your study participants
  • when you want to describe what is going on or what exists
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5
Q

What is a comparative research design?

A

two or more things are compared with the aim of finding something about one or all of them

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6
Q

What is causal/relationship research design?

A
  • relationship or the causal associations between variables
  • understand the nature of and relationships between variables
  • most relevant when thinking about interventions
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7
Q

What is the order of the research process?

A
  • specify
  • design
  • collect
  • visualise
  • build
  • analyse
  • report
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8
Q

Define statistics

A

science that involves collecting, summarising, analysing and interpreting data

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9
Q

What is a statistic?

A

a single number summarising a variable of interest

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10
Q

Define data

A

collection of facts or information

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11
Q

What are the 2 types of variable?

A
  • independent or explanatory
  • dependent or response
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12
Q

What is a independent/explanatory variable?

A

what you are manipulating OR what you think is associated with outcome

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13
Q

What is a dependent/response variable?

A

outcome variable

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14
Q

What are the 2 data types?

A
  • qualitative (non numerical)
  • quantitative (numerical)
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15
Q

What are the 2 types of qualitative data types?

A
  • categorical (nominal) –> named categories (non numeric), no order
  • ordered categorical (ordinal) –> numbered/named categories, natural order
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16
Q

What are the 2 types of quantitative data types?

A
  • discrete (interval) –> whole numbers, doesn’t start at 0
  • continuous (ratio) –> variables can take any value and start at 0
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17
Q

What are the 2 types of hypothesis testing?

A
  • null hypothesis
  • alternative hypothesis
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18
Q

What is a null hypothesis?

A
  • default position
  • no relationship
  • no difference
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19
Q

What is a alternative relationship?

A
  • relationship
  • difference
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20
Q

Define population

A

a total set of observations that can be made

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21
Q

Define sample

A

a selected subgroup of a population

22
Q

What are the 3 types of sample?

A
  • simple random
  • stratified random
  • convenience
23
Q

What is a parameter

A

a single number that summarises a variable of interest

24
Q

What is internal validity?

A

problems due to manipulation or other causes

25
What is external validity?
generalisability to a wider population, comparability with other literature
26
Define population total
sum of all the elements in the sample frame
27
Define population mean?
the average of all elements in a sample frame or population (usually only estimated)
28
Define sampling frame?
a list of all the units in the population from which the sample is selected
29
What are the 3 types of sampling error?
- sampling variability - sampling error - non-sampling error
30
Define sampling error
the mean of a sample will not be the same as the mean of a population, can be minimised but not eliminated using good selection criteria
31
Define sampling variability
different samples from the same population do not always produce the same mean and SD
32
Define non-sampling error
errors not connected with the sampling method
33
Define hypothesis
an assumption, theory or tentative statement based on limited evidence or a relationship between variables which can be tested, verified or falsified
34
Define methodology
the strategy or plan of action which lies behind the choice and use of particular methods
35
Define positionality
the stance or position of the researcher in relation to the context of the study, or the population being studied
36
What is research?
the systematic gathering, presenting and analysing of data
37
What is a paradigm?
a "basic belief system or worldview"
38
What are the 4 types of paradigm?
- ontology - epistemology - axiology - methodology
39
What is ontology?
"the study of being"
40
What is axiology?
- philosophical approach to making decisions of value - ethical issues that need to be considered when planning research proposals
41
What is epistemology?
philosophical study of how knowledge is acquired
42
What is methodology?
refers to the research design, methods, approaches and procedures used in an investigation
43
What are the 2 epistemology's that we need to know?
- positivism - interpretivism
44
Define positivism
knowledge is discovered
45
Define interpretivism?
knowledge is constructed
46
What are the 2 ontology's that we need to know?
- realism - constructivism
47
Define realism
objective and independent
48
Define constructivism
shaped by perception and social context
49
What is the equation for working out the Z score?
Z = X - mean/ sd
50
When is something considered to have a normal distribution?
if a continuous (ratio-interval) random variable has a symmetric bell-shape curve
51
For working out population from graphs what is one factor you need to remember?
area = population