3 Sep - Research data collection (Veronika) Flashcards

1
Q

Where does data come from? Name some

A

Something happened and it was recorded
- weather
- visiting website
- social media being used

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2
Q

What data is in economics

A

Survey data
Census data
Automatically generated data
Simulated data

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3
Q

What is research often about?

A

Answering questions with data

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4
Q

What are different approaches for getting data?

A
  • Study types:
    Deductive vs inductive research
    Quantitative vs qualitative
    Primary vs secondary
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5
Q

What does it mean a study is descriptive?

A

Case study about something specific, describe or explore events in the everyday context

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6
Q

What does it mean a study is observation?

A

Case-control, epidemiological

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7
Q

What does it mean a study is Literature review?

A

People often say they are doing a systematic review, but more often it is a narrative review - there also exists a scoping review.

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8
Q

What does it mean a study is a meta analysis?

A

Analyse different studies form different countries, and we analyse the different set ups. The goal is to pull al the evidence together, to get a bigger sample size, to say something about the overall problem

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9
Q

How to do a systematic review?

A

we will have a flow chart often, we follow a specific protocol for search selection screening of papers.

  • you can have a living review, we update it as new evidence emerges
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10
Q

Explain what is inductive and deductive

A

Deductive:
general to specific, start with a theory/hypotheses, collect data, test

Inductive:
specific to genereal
start with specific cases, find patterns, create hypothesis

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11
Q

Explain quantitative and qualitative

A

Quantitative: numbers, measurable
Qualitative: experience, interpretations, document analysis

We learn difference things for difference things

Similarites
- measurement
- causality
- generalisation

Diffrences:
controlled vs natural environment
Sampling random vs deliberately subjective:

We can do both, this is called triangulations, we will see if rhe findings are matching eachother

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12
Q

Explain difference between primary or secondary data

A

Primary:
- interviews
- observations
- experiments

Secondary:
- Previously collected data
- Literature
- Online sources

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13
Q

WHat did they find in the values i machine learning paper? By Birhane et al

A

Performance, computational efficicent and such where higher valued

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14
Q

Qualitative tools:

A

Cluster findings into themes
Code on a low level, merge them later
Nvivo
Taguette

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15
Q

Name the 10 simple rules for responsible big research

A
  1. debate the tough ethical choixes
  2. develop code of conduct for your community
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16
Q
A

Data can have to do with privacy and can be sensitive even though you think it isn’t
This risk can entail identifying people

17
Q

What effect can biased data have

A

If the data is very biased, the conclusion of the research might not be reliable

18
Q
A

Researcher bias - topic, methods
Information bias - data collection not standardized
Selection bias - participants are systematically different than the general
Publication bias - studies that have more signgicant p-values, they are more likely to be published

19
Q

What is the hawthorne effect?

A

Participants know they are being observed - and they change their behavior because of it

20
Q
A