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Truth Table
Representation of all possible combinations of causal conditions
Conjunction
When multiple conditions explain an outcome
Population
The set of cases you wish to generalize findings
Boolean Algebra
Mathematical system fsQCA uses to identify causal relationships
Sufficiency
Conditions that are enough to cause the outcome condition
Proportional Reduction in Inconsistency (PRI)
The degree to which configuration eliminates false positives
Set theoretical
When multiple elements of conditions (a set) explain an outcome
Causal Asymmetry
When conditions that lead to high levels of outcome are unrelated to those that lead to low levels of the same outcome
Core Condition
Plays a strong role in explaining the outcome
Necessity
The condition(s) that must be present for the outcome to occur
Equifinality
When cases share common outcomes but through different causal pathways
Consistency
The degree to which cases displaying specific causal configuration also exhibit the expected outcome
Limited Diversity
When not all possible combinations on the truth table are observed in the real world
Coverage
The proportion of outcomes where a particular configuration is present
Peripheral Condition
Plays a weaker role in explaining the outcome
Quine-McClusky Algorithm
A tool to reduce the truth table into causal conditions that lead to the outcome