Marketing Research & Analytics Flashcards
7 cards from real AMA practice questions. Tap to flip, then mark Knew It or Still Learning โ missed cards come back until you master them.
Read the first 7 Marketing Research & Analytics flashcards as text
A researcher uses a Likert scale in a survey. What type of data does this produce?
Answer: Ordinal
Likert scales produce ordinal data because responses are ranked but the distances between points are not mathematically equal.
Which sampling method divides a population into subgroups and then randomly samples from each subgroup proportionally?
Answer: Stratified random sampling
Stratified random sampling divides the population into strata and draws proportional random samples from each, improving representativeness.
What does a high Cronbach's alpha (e.g., 0.90) indicate in a marketing survey scale?
Answer: High reliability
Cronbach's alpha measures internal consistency reliability; values above 0.70 indicate the scale items consistently measure the same construct.
A company tracks how many unique visitors convert to paying customers each month. This is an example of what metric?
Answer: Conversion rate
Conversion rate measures the percentage of visitors or prospects who complete a desired action, such as making a purchase.
In regression analysis, what does the R-squared value represent?
Answer: The proportion of variance in the dependent variable explained by the model
R-squared (coefficient of determination) indicates what percentage of variation in the outcome variable is explained by the independent variables.
Which type of marketing research is best suited for testing a specific hypothesis about consumer behavior?
Answer: Causal research
Causal research uses controlled experiments to establish cause-and-effect relationships and test specific hypotheses.
What is the primary risk of using a convenience sample in marketing research?
Answer: Results that cannot be generalized to the broader population
Convenience samples select readily available participants, introducing selection bias and limiting the generalizability of findings to the target population.