Last minute Qs Flashcards

(51 cards)

1
Q

What two stages of interpretation are important to hermeneutics?

A

1.Uncovering interpretation (finding how others have categorised the world)
2.Assigning interpretation (creating new categories)

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2
Q

Where is induction used?

A

Qualitative research - moving from the domain of observations, to making findings, to creating theories

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3
Q

Where is deduction used?

A

Quantitative research - moving from a theory, to creating a hypothesis and testing it, to validation

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4
Q

What is most important to action research?

A

Solving problems! Studying real life problems without coming up with solutions is unhelpful

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5
Q

What is an artifact in IT-research?

A

Something created by human beings that cannot exist without human involvement - anything from a computer to a set of values

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6
Q

What kind of artefacts does design research create?

A

Constructs, methods, models, instantiations, theories

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7
Q

In technical action research, what are the three roles of the researcher?

A

Designer, helper, researcher

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8
Q

What is the difference between action research and technical action research?

A

In action research the researcher wants to solve a problem for a client, in technical action research the problem is only a way to learn about a specific technique

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9
Q

Four important factors to ethics in research?

A

Reliability, honesty, respect, accountability

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10
Q

What two types of interpretation are important to IS (Information Systems) studies?

A

Both positivist and interpretive

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11
Q

Why is deduction an important tool to computer science?

A

The scientific foundation is based on logic and discrete mathematics

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12
Q

What is the most common research approach in computer science?

A

Controlled experiments with statistical analysis and inference

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13
Q

What is IT?

A

The study of systemic approaches to develop secure computing technologies that fulfill our goals

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14
Q

Are literature mapping studies quantitative or qualitative in nature?

A

Qualitative - they are about making sense of the material and creating a structure

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15
Q

Are systematic literature reviews qualitative or quantitative in nature?

A

Quantitative to a large extent, validity threats need to be resolved

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16
Q

What are the three high-level phases of a systematic literature review?

A

Planning, conducting and reporting the review

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17
Q

What is the difference between a primary and a secondary study?

A

A secondary study is the literature review itself; primary studies are the studies used as sources within the literature review

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18
Q

What is the primary benefit of using surveys as a research method?

A

Asking many people in a time-efficient way, with flexible delivery options

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19
Q

What is the downside of using surveys as a research method?

A

No chance to ask follow-up questions or verify how questions are interpreted

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20
Q

What are the three important qualities needed in a survey?

A

-Relevance to research Qs
-Easy to interpet
-Interpreted the same by all participants

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21
Q

What are the three steps of survey development?

A

-Define variables
-Develop Qs to measure variables
-Pilot and validate

22
Q

What are different types of questions that can be used in a survey?

A

Knowledge, Likert scale, open/closed

23
Q

What are the two ways we can validate our survey questions/approach?

A

-Expert review
-Pilot study

24
Q

In the context of validating surveys, what is a cognitive interview?

A

A hybrid between an expert review and a pilot study where participants do the survey while monitored by a researcher

25
What is necessary to do before a survey to uphold ethics requirements?
For participants to sign a consent form outlining the purpose and methodology of the survey, along with information about who's behind the survey
26
What is a sample?
A subset of our population we can assume is representative of the population at large
27
How is stratified sampling different from random sampling?
The population is narrowed down by criteria like age/gender and a random sample is taken from that sub-population
28
What is the difference between convenience sampling and purposive sampling?
Asking whoever is close at hand vs asking the most high-value individuals for the area in question
29
Three types of bias in surveys?
-Confirmation bias -Survey fatigue bias -Question bias
30
In the context of experiment design, what are design points?
Unique combinations of independent variable settings
31
An independent variable needs to have two what?
Levels; these are the test conditions
32
What is a control variable?
A variable that is kept constant while testing the effect of the independent variable
33
What are the two ways of assigning conditions to participants?
Within-subject testing where each participant is tested on each condition, or between-subject testing where each participant is tested on one condition
34
What is the problem of using too many participants in an experiments?
Achieving statistical significance for effects of no practical value
35
What are usability lab-studies?
Participants are brought into a lab, one-on-one with the researcher and given scenarios that lead to tasks relevant to a product/service
36
What are internal validity threats?
Reasons why inferences about the causal relationship between two variables might be incorrect
37
What are external validity threats?
Reasons why inferences about why study results would hold over variations in inviduals/setting are incorrect
38
What is a good thing to do after the experiment to get a better estimate of experimental error?
Replication
39
Academic writing should be...
Clear, concise, objective
40
How do we test if our results are statistically significant?
By assessing if the probability of observing the results we have achieved, even if our sample is not representative of the population at large, is above our selected significance level (95%)
41
What is the p-value?
The probability of getting these results even if the null hypothesis is true
42
What is α?
Significance level
43
If p-value is less than α, what do we do?
We reject the null hypothesis
44
What are the requirements for a t-test?
-Interval or ratio data -Small samples require normal distribution, medium samples close to normal distribution but large samples work regardless of distribution
45
In a distribution test, what does it mean for a p-value to be above 0.05?
Normal distribution
46
What is a Rank-Sum test?
-aka Mann-Whitney U-test -Used to test independent variables -Ranks individual MEASURES instead of using means
47
What are the requirements for a Rank-Sum test?
-At least ORDINAL data -Independent variable divided into two groups -Distribution should ideally be similar
48
In what situation would we use a Sign Test?
Cases with paired observations where t-test is not okay
49
What are the requirements for a CHI2 test?
-Works for all data levels -No cells can have an expected count of 0 -At least 80% of the cells must have a count of 5 or more
50
What does it mean to find a linear correlation between two variables?
For one variable to increase with the other
51
Six steps of thematic analysis?
1.Familiarising 2.Generating codes 3.Searching for themes 4.Reviewing themes 5.Defining and naming themes 6.Producing report