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Random group assignment

As explained in Effective Data Analysis

Random assignment allocates study participants to experimental conditions by a chance-based procedure.

Random group assignment allocates selected participants to experimental conditions through chance, such as treatment and control groups. It helps experiments compare outcomes while limiting deliberate allocation differences. section 3.2.3

Apply the technique as part of a broader experimental design:

  • Assign participants purely randomly or use stratified assignment when relevant subgroups need representation across conditions. section 3.2.3
  • Combine assignment with a controlled environment and a manipulable independent variable when testing whether one phenomenon causes another. section 3.2.3
  • Keep random selection distinct: selection concerns how participants enter the study, while assignment determines their experimental group. section 3.2.3
  • Recognize that quasi-experiments use a similar comparison design without random group assignment. section 3.2.3

Website button A/B test

A team randomly assigns users to versions of a website with red, blue, or green buttons, changes no other condition, and compares newsletter subscription rates. section 3.2.3

Figure 3.9 Quasi-experiments have a similar design to controlled experiments without random group assignment.
figure

Compare controlled experiments with quasi-experiments to see how omitting random group assignment changes the design. section 3.2.3

How Effective Data Analysis covers it

How deep it goes
Defines purely random and stratified assignment, but stops short of procedural implementation or statistical analysis.
Examples
Uses treatment-versus-control comparisons and A/B tests that change a website button color and measure newsletter subscriptions.
What you can do after
Evaluate causal differences between groups in controlled experiments and A/B tests.
How it connects
Connects treatment and control groups, independent and dependent variables, controlled environments, A/B testing, and quasi-experiments.

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This explainer was generated by Manning's knowledge graph from the text of Effective Data Analysis. The section links point to the parts of the book it draws on.