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Analysis and interpretation of quantitative and qualitative data practice questions.

49 exam-style questions on Analysis and interpretation of quantitative and qualitative data — topic RM.2 of Research methodology in the IB Psychology syllabus — with answers and explanations. Samples below; the full set is free with an account.

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About this topic

Syllabus code
RM.2
Subject
IB Psychology
Section
RM · Research methodology
Questions
49 with worked answers
Question types
14 multiple-choice questions · 11 fill-in-the-gap questions · 9 flashcards · 7 true/false questions · 6 matching tasks · 2 structured questions
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Sample questions on Analysis and interpretation of quantitative and qualitative data

Using multiple methods, data sources or researchers to cross-check qualitative findings is known as:

  • Standardisation
  • Triangulation
  • Randomisation
  • Counterbalancing

Answer: Triangulation

Triangulation combines different methods, data sources, theories or investigators to check whether findings converge. Consistent results across approaches increase the credibility and trustworthiness of qualitative research.

A researcher reports a correlation coefficient of r = +0.20 between hours of sleep and exam score. What does this indicate?

  • A weak positive relationship
  • A strong positive relationship
  • A strong negative relationship
  • No relationship at all

Answer: A weak positive relationship

A coefficient near 0 indicates a weak relationship; the positive sign means the variables tend to increase together, so +0.20 is a weak positive correlation.

In qualitative research, the process of identifying, analysing and reporting patterns of meaning within textual data is called:

  • Inductive content sampling
  • Triangulation
  • Thematic analysis
  • Standardisation

Answer: Thematic analysis

Thematic analysis identifies and interprets recurring themes across qualitative data; triangulation is cross-checking with multiple sources, not the analysis method itself.

A standard deviation of 2.1 for Group A and 9.8 for Group B (same mean) tells you that:

  • Group A scores are more spread out than Group B
  • Group B scores are more spread out than Group A
  • Group A has a higher mean than Group B
  • The two groups have identical distributions

Answer: Group B scores are more spread out than Group A

Standard deviation measures dispersion around the mean; a larger SD (9.8) means Group B's scores are more spread out (more variable).

Which of the following best describes a Type I error in hypothesis testing?

  • Rejecting a true null hypothesis (a false positive)
  • Retaining a false null hypothesis (a false negative)
  • Using the wrong statistical test
  • Failing to counterbalance conditions

Answer: Rejecting a true null hypothesis (a false positive)

A Type I error is rejecting a null hypothesis that is actually true — concluding there is an effect when there is none (a false positive).

A scatterplot shows points forming a downward-sloping band from top-left to bottom-right. This pattern most likely reflects a correlation coefficient close to:

  • +0.90
  • 0.00
  • −0.75
  • +0.30

Answer: −0.75

A downward-sloping band indicates a negative relationship of moderate-to-strong strength, consistent with a coefficient like −0.75.

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