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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
  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.