course recap Flashcards

(36 cards)

1
Q

What is the role of problem definition in market research?

A

It specifies research questions to be answered and the objectives of the research.

A crucial initial stage that indicates a specific marketing decision to be clarified or problem to be solved.

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2
Q

Define qualitative research.

A

The collection of data in the form of text or images using open-ended questions, observation, or ‘found’ data.

It deals primarily with ‘why’ questions.

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3
Q

What is a key advantage of personal interviews in qualitative research?

A

Depth, flexibility, and comprehensiveness of information.

They are particularly good for understanding complicated or sensitive situations.

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4
Q

What is a focus group?

A

A small group of respondents (6-12) led by a trained moderator to discuss topics in a relatively non-structured manner.

Commonly used for exploratory research to understand consumer perceptions.

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5
Q

List at least three criteria used to compare focus groups, depth interviews, and projective techniques.

A
  • Degree of Structure
  • Probing of individual respondents
  • Overall usefulness
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6
Q

What is the significance of secondary data in market research?

A

It provides insights and can achieve various research objectives using existing data sources.

It includes both internal and external sources of data.

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7
Q

What are the typical objectives for secondary data research designs?

A

To discuss advantages and disadvantages, understand types of objectives, and describe sources of secondary data.

This includes discussing the impact of single-source data.

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8
Q

What is an experiment in the context of market research?

A

A controlled procedure to measure the effects of variables under realistic conditions.

It often involves test marketing.

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9
Q

What is a test market?

A

A controlled experimental procedure under realistic market conditions to measure sales or profit potential.

Key decisions involve whether to test market, length, and location of the test.

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10
Q

What are the stages of the measurement process?

A
  • Specify information sought
  • Determine type of questionnaire
  • Determine question content
  • Determine response form
  • Determine wording
  • Determine question sequence
  • Pretest the questionnaire
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11
Q

What is the difference between probability and non-probability sampling?

A

Probability sampling involves random selection, while non-probability sampling does not.

Each method has its advantages and disadvantages.

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12
Q

What does the Chi-square statistic help determine?

A

Whether the difference between observed and expected frequency distributions can be attributed to sampling variation.

It is checked against the p-value for significance.

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13
Q

What does R-Square indicate in regression analysis?

A

The level of variation in the dependent variable explained by independent variables.

A higher R-Square indicates better explanatory power.

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14
Q

What is the purpose of conducting an ANOVA?

A

To determine if there are statistically significant differences between the means of three or more groups.

It involves checking the p-value for significance.

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15
Q

Fill in the blank: A _______ is a method to gather data from a sample of individuals to understand consumer behavior.

A

[survey]

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16
Q

True or False: Focus groups are structured interviews that follow a strict format.

A

False.

They are relatively non-structured and allow for free-flowing discussion.

17
Q

What is the main focus of exploratory research?

A

To gain insights and understanding of consumer perceptions and behaviors.

Often conducted through focus groups or qualitative interviews.

18
Q

What does the term ‘sampling’ refer to in research?

A

The process of selecting a subset of individuals from a population to estimate characteristics of the whole population.

Sampling is essential for conducting research efficiently.

19
Q

Descriptive research

A

purpose is to describe characteristics of a population (e.g. determining who purchase a product, portraying the size of the market, identifying competitors actions)
- measure phenomena using methods such as surveys, panels and observations

20
Q

Exploratory research

A

technique used when little is known about the research problem
- understand issues using methods such as interviews, focus groups and secondary data

21
Q

causal research

A

identifies cause and effect relationships among variables using methods such as experiments

22
Q

fact finding

A

identifying consumption patterns, tracking trends

23
Q

model building

A

estimating market potential, forecasting sales, selecting trade areas and sites

24
Q

database marketing

A
  • enhancing customer databases, developing prospect lists
  • using CRM database to develop relationships and precisely targeted promotional efforts with individual customers
25
random sampling error
- The difference between the sample result and the result of a census conducted using identical procedures. - statistical fluctuation due to chance variations in elements selected for a sample - as sample size increases, random sampling error decreases - the more people we ask, the more likely the sample result is going to reflect the true result
26
systematic error
- error not related to sampling - controllable - can be directly measured
27
non-response bias
- The statistical differences between a survey that includes only those who responded and a perfect survey that would also include those who failed to respond. - may cause the sample to be less than perfectly representative
28
response bias
occurs when respondents give inaccriare answers intentionally or unintentionally 1) deliberate falsification 2) unconscious misinterpretation
29
Probability sampling
where every member of the population has a known, non zero probability of selection - since this process is random, error related to researcher judgement is eliminated
30
Non-proability sampling
where units of the sample are selected on the basis of personal judgement convenience. The probability of any member of the population being chosen is unknown
31
Simple random sampling
- A sampling procedure in which each member of the population has an equal probability of being included in the sample - Drawing names out of a hat - Random number generation
32
Systematic sampling
- a sampling procedure in which a starting point is selected by a random process and then every nth number on the list is selected - Requires sampling frame
33
Stratified sampling
the researcher divides the population into groups and randomly selects subsamples from each group:
34
Cluster sampling
Cluster sampling is a probability sampling method in which you divide a population into clusters, and then randomly select some of these clusters as your sample.
35
convenience sampling
- Choosing people who are most conveniently available - potential respondents may be unwilling or unrepresentative
36
Judgement sampling
A nonprobability sampling method in which an expert or experienced researcher selects the sample to fulfil a purpose, such as ending that all members have a certain characteristics