Primary & Secondary Data I (Week 2) Flashcards

1
Q

What is secondary data?

A

Data collected for some purpose other than the problem at hand

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What is primary data?

A

Data originally collected by the researcher for the purpose of addressing the research problem at hand

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Why use secondary data?

A
  • Save money
  • Save time
  • Proven data collection method & quality
  • May be the only source available (for past events)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What are the drawbacks of secondary data?

A
  • Credibility of source
  • Purpose of institution providing data
  • When it was collected
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What are the sources of secondary data?

A

Internal
- Company records

External

  • Publicly available
  • Commercial (e.g. Research articles)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What are some types of internally available secondary data?

A
  • Sales e.g. aggregate level/for indiv customers
  • Prices
  • Advertising e.g. expenditures, creatives used
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What are some types of publicly available secondary data?

A
  • Govt publications

- Publications by foundations, trade associations, unions, academic publications

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

What are the types of commercial secondary data?

A
  1. Retail store audits
    - Monitoring sales, distribution, prices, support
  2. Consumer purchase panels
    - Home audit, mail diary audit
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

What are the advantages of consumer purchase panels?

A

Makes it possible to analyse:

  • Heavy buyers and their characteristics
  • Brand-switching rates
  • Repeat purchase rates
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What are the disadvantages of consumer purchase panels?

A
  • Selection bias
  • Mortality effect (drop out)
  • Time consuming
  • Testing effects
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What is scanner data?

A

Track purchases in large no. of stores

Sales, prices, coupons, etc. automatically recorded

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

What is single-source data?

A

Track panel members’ purchases & media consumption over time

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What are the benefits of scanner-based audit services?

A
  • High degree of accuracy
  • Time saving (instantaneous)
  • Ability to study v. short time period of sales activity
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

What is qualitative data?

A

Typically obtained through observation, focus grps, etc
Small no. of non-representative cases
Unstructured**
Analysed using non-statistical methods

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

What are the types of qualitative data?

A
  1. Observation
  2. Ethnography
  3. In-depth interview
  4. Focus groups
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

What are the challenges of in-depth interview?

A
  • Get relevant info
  • Don’t steer conversation too much
  • Be objective and neutral
  • Respondents may try to maximise own (future) utility, need to be mindful
17
Q

What are the characteristics of a good moderator?

A
  • Establish friendly environment
  • Follow up questions
  • Be neutral to showy participants
  • Start with easy questions
18
Q

What are the advantages of focus groups?

A
  • Richness of data
  • Versatility
  • Impact on managers
19
Q

What are the disadvantages of focus groups?

A
  • Potentially misleading data (conformity & obedience)

- Lack of generalisability (small sample size)

20
Q

What are the advantages of qualitative research?

A
  • Deep insights

- Useful for **generating hypotheses

21
Q

What are the disadvantages of qualitative research?

A
  • Sample size often small – representative? generalisable? complexity of analysis - how do you quantify?
  • Significance testing – v small sample size, not sig.