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QDA2 Lab

QUANTITATIVE DATA ANALYSIS 2

QDA2 Interactive Lab

Understand the logic.
Practice the decisions.
Read the output.

An interactive companion for Quantitative Data Analysis 2. Review concepts, explore statistical intuition, practice SPSS decisions, and test your understanding.

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The chain every module reinforces
  1. 1Research question
  2. 2Variables
  3. 3Variable roles
  4. 4Measurement levels
  5. 5Method choice
  6. 6Statistical logic
  7. 7SPSS workflow
  8. 8Output interpretation
  9. 9Defensible conclusion

Statistics is not a sequence of software buttons. The question decides the structure, the structure decides the method, and only then does SPSS come in.

  1. Research question
  2. Variables
  3. Variable roles
  4. Measurement levels
  5. Method choice
  6. Statistical logic
  7. SPSS workflow
  8. Output interpretation
  9. Defensible conclusion

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Modules

Each module follows the same rhythm: Understand → Try → SPSS → Test yourself.

  1. 01Measurement LevelsNominal, ordinal, scale and why a variable's level is not the same as its role.
  2. 02CrosstabsDenominators, row vs column percentages, expected counts, χ² and Cramer's V.
  3. 03Lazarsfeld ParadigmWhat happens to X → Y when you control for Z: replication, specification, explanation, interpretation.
  4. 04p-valuesThe null distribution, tail areas, sample size, and why significant does not mean important.
  5. 05CorrelationDirection and strength of linear association, Pearson vs Spearman, and what r cannot tell you.
  6. 06t-testsOne-sample, independent-samples and paired-samples: choose the comparison, read the output.

Quick review mode

Thirty mixed questions across all six modules: classify variables, choose percentages, read SPSS output, name Lazarsfeld patterns, interpret r and p, choose the right t-test. Every wrong answer tells you exactly which idea got mixed up.

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