research

Here are some digital flashcards based on your study guide:


Card 1

Q: What is the difference between primary and secondary research?
A: Primary research is conducted in the present, while secondary research is based on past data.


Card 2

Q: What is the difference between qualitative and quantitative research?
A: Qualitative focuses on directional findings and insights, while quantitative provides numerical, projectable data.


Card 3

Q: What are the pros and cons of qualitative research?
A: Pros: In-depth insights, flexible structure.
Cons: Smaller sample sizes, not projectable.


Card 4

Q: What are the pros and cons of quantitative research?
A: Pros: Large sample sizes, statistically projectable.
Cons: Less depth, rigid structure.


Card 5

Q: When should primary research be conducted over secondary?
A: When existing data is outdated, unavailable, or insufficient for decision-making.


Card 6

Q: What are examples of qualitative research methodologies?
A: Focus groups, in-depth interviews (IDIs), dyads, triads, mini groups.


Card 7

Q: What are examples of quantitative research methodologies?
A: Surveys, polls, questionnaires, structured experiments.


Card 8

Q: What is the order in which research is typically conducted?
A: Secondary research first, followed by primary research if needed.


Card 9

Q: What are projective techniques in qualitative research?
A: Methods such as word association, laddering, and role-playing used to uncover deeper insights.


Card 10

Q: What are the three types of research design?
A: Exploratory, descriptive, and causal research.


Card 11

Q: What is exploratory research used for?
A: To discover insights, relationships, product appeal, or differentiators.


Card 12

Q: What methodologies are commonly used in exploratory research?
A: Case studies, qualitative analysis, focus groups, and interviews.


Card 13

Q: What is descriptive research used for?
A: To describe behaviors, preferences, and marketing functions.


Card 14

Q: What methodologies are commonly used in descriptive research?
A: Surveys and observational studies.


Card 15

Q: What is causal research used for?
A: To determine cause-and-effect relationships.


Card 16

Q: What methodologies are used in causal research?
A: Controlled experiments, A/B testing, and test markets.


Card 17

Q: How do you identify a credible secondary source?
A: It comes from reputable organizations, is peer-reviewed, and cites reliable data.


Card 18

Q: What is included in a research proposal?
A: Objectives, methodology, target population, timeline, and expected outcomes.


Card 19

Q: How does the audience affect a research report?
A: It determines the format, language, and level of detail included in the report.


Card 20

Q: What is a discussion/moderator’s guide?
A: A structured outline used by moderators to lead qualitative discussions.


Card 21

Q: What are examples of probing techniques in qualitative research?
A: Silent acknowledgment, laddering, and elaboration prompts.


Card 22

Q: What are the two types of observational studies?
A: Direct (natural observation) and contrived (artificial setting).


Card 23

Q: What is mystery shopping?
A: A method used to evaluate customer service and operational procedures.


Card 24

Q: What are common mistakes to avoid in surveys?
A: Leading questions, double-barreled questions, and unclear response options.


Card 25

Q: What are the different types of response options in surveys?
A: Ordinal (ranked), interval (scaled), categorical (distinct groups).


Card 26

Q: What is the purpose of a screening section in a survey?
A: To qualify respondents based on demographic or behavioral criteria.


Card 27

Q: What is the difference between a census and a sample?
A: A census surveys an entire population, while a sample surveys a subset.


Card 28

Q: What factors determine sample size?
A: Confidence level, margin of error, and population size.


Card 29

Q: What is the industry standard for confidence level and margin of error?
A: 95% confidence level with a 5% margin of error.


Card 30

Q: What do "N" and "n" represent in research?
A: "N" is the total population, while "n" is the sample size.


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