Week 5: Key principles of scientific research Flashcards

1
Q

What are the four key components of the scientific method?

A
  • verifiability
  • predictability
  • falsifiability
  • fairness
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2
Q

Describe verifiability

A
  • experiments must be replicable

- methods should be documented and experiment structure and results clearly explained

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3
Q

Describe predictability

A
  • implies that the theory should enable us to make predictions about future events
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4
Q

Describe falsifiability

A
  • whether a hypothesis can be disproved
  • it must be logically possible to make an observation or do a physical experiment that would show there is no support for a hypothesis
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5
Q

Describe fairness

A
  • all data must be soldiered when evaluating hypotheses

- researcher cannot pick and choose what data to keep and what to discard or focus specifically on

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6
Q

What is the key principle of the hypothetico-inductive model

A
  • causes have effects
  • cause effect relationship can be deduced by experimentation, observation and measurement
  • the universe is governed by rules
  • acquiring knowledge involves testing and refining hypotheses by falsification
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7
Q

What does reductionism say?

A

All phenomena can be broken down into smaller parts that can be subjected to hypothesis testing (reductionism)

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8
Q

Describe positivism

A
  • absolute truths in nature can be discerned by careful observation and measurement
  • the more accurately they can be described by maths the greater their positivity
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9
Q

Describe post-positivism

A
  • important to be aware of factors that may have biased the outcome or interpretation of a set of observations
  • it is impossible to prove something, as a single observation can undo a theory
  • however it is possible to design experiments to disprove a hypothesis
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10
Q

List three important elements of critical thinking

A
  • scepticism
  • objectivity
  • open mindedness
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11
Q

How is social constructivism different from post positivism?

A

Instead of starting with a hypothesis and then trying to falsify it, social constructivists go into situations with no opinion

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12
Q

What is the key principle of social constructivism?

A

Individuals seek to give meaning to their experiences and the researcher can only fully understand the situation by compiling the diversity of meanings/viewpoints

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13
Q

In their questioning, social constructivists…

A
  • non directive
  • objective
  • open minded as possible
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14
Q

Rather than starting with a hypothesis, grounded theorists…

A

They start with no position and then gradually build up a hypothesis, that is inductively based on the multiple view points they have obtained

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15
Q

What does advocacy/participatory research argue?

A
  • post positivism entrenches beliefs and view points of middle aged males
  • minorities and other people need a voice
  • social constructivism describes situations rather than addressing social inequities or assisting marginalised peoples
  • we need to actively address inequities
  • knowledge is power and should be used to address societal change
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16
Q

Principles of advocacy/participatory research

A
  • research should be intertwined with politics and have a political agenda
  • empowerment, inequality, oppression, domination, suppression
  • helps participants become more aware of the injustice of their situation
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17
Q

What are the main three methods of data collection?

A
  • quant
  • qual
  • mixed
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18
Q

Describe quantitative strategies

A
  • turns observations into numbers
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19
Q

How are numbers useful in quant studies?

A
  • universal language
  • simple
  • exact, precise
  • objective - enable comparisons
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20
Q

What are the three broad categories of quantitative research

A
  • experiments
  • correlations
  • surveys
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21
Q

Describe experiments

A

Determine the influence of an intervention on an outcome. Typically by comparing one group that received the intervention with one that did not

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22
Q

Describe correlations

A

Use population data to determine whether one subgroup differs from another and infer to the contribution of a particular variable to that outcome

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23
Q

Describe surveys

A

Uses questionnaires or structured interviews to obtain information about a sample population which is then generalised to a larger population

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24
Q

How does research methodology involve compromise?

A

High precision studies may give up some relevance to the real world, however observational work won’t be as accurate

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25
List qualitative strategies
- ethnography - grounded theory - case study - phenomenological - narrative
26
Describe ethnography
Observations and interviews conducted over a prolonged period of time in an intact cultural group in their natural setting with the aim of understanding the beliefs and societal norms that underpin the culture
27
Describe grounded theory
An iterative approach where information from non directed interviews is used to develop a hypothesis which is tested against further observations until a consistent view is arrived at
28
Describe a case study
A detail examination, through multiple lines of enquiry, of a single event or individual
29
Describe phenomenological strategies
Prolonged observations and interviews conducted with a small number of individuals in order to understand how their lived experience has shaped the meaning they attach to an aspect of their lives
30
Describe narrative strategies
An individual is encouraged to relate their life's story in great detail in order to illuminate the factors that have shaped that person's beliefs and led to their current situation
31
What is the origin of quant
Logical empiricism
32
What is the origin of qual
Theoretical
33
What is the goal of qual
Understanding, description, discovery, hypothesis generation
34
What is the goal of quant
Prediction, control, confirmation, hypothesis, testing
35
Design characteristics of qual
Flexible, evolving, emergent
36
Design characteristics of quant
Predetermined, structured
37
Setting of quant
Unfamilliar, articificial
38
Setting of qual
Natural, familiar
39
Sample of qual
Small, non random, theoretical
40
Sample of quant
Large, random, representative
41
Data collection in qual
Researcher led interviews, observations
42
Data collection in quant
Instruments (scales, tests, surveys, etc)
43
Mode of analysis in qual
Inductive (by researcher)
44
Mode of analysis in quant
Deductive (stats methods)
45
Findings of qual
Comprehensive, holistic
46
Findings of quant
Precise, narrow, reductionist
47
Two methods of mixed method strategies
- sequential | - concurrent
48
Describe sequential mixed methods
Begins with a quantitative or qualitative study and then follows up with the opposite
49
Describe concurrent mixed methods
Complementary quantitative and qualitative investigations are undertaken together, on the same subjects
50
Describe sensitivity
Capacity of a test to correctly detect the presence of a particular condition 'true positives'
51
Describe specificity
Capacity of a test to correctly detect the absence of a particular condition 'true negatives'
52
What are the four types of validity?
- content - predictive - concurrent - construct
53
Content validity
Do the items measure the content they're supposed to?
54
Predictive validity?
Do the results have predictive value?
55
Concurrent validity?
Do the results correlate with results from other measures?
56
Construct validity?
Do the results measure hypothetical concepts and do the scores have a useful application in practice?
57
What is reliability?
The consistency of the measurement tool: the extent to which the same result is obtained on repeated testing of the same subject
58
Discuss some threats to internal validity
Aspects of experimental design or measurement that may limit the ability to make correct inferences from the data about the study population
59
Threats to external validity
Characteristics of the sample population, the research setting or the timing of the research that may limit the ability to make accurate generalisations to groups beyond the study population
60
List some of the common threats to internal validity (MR. SMITH)
- maturation - regression to the mean - selection of subjects - subject naivety - mortality - instrumentation - testing - history
61
Describe maturation
The individual subjects may change or mature during the project
62
Describe mortality
Drop out of participants during the study
63
Common threats to external validity
- narrow population characteristics - setting of data collection - historical timing of the research