QCA design and calibration worksheet

Credibility depends on calibration quality. Always record grounds for variable anchors.

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EvalCompass Worksheet

QCA design and calibration worksheet

Credibility depends on calibration quality. Always record grounds for variable anchors.

Basic information

Enter analysis basics

Completed example for this section (fictional)

This fictional example is for explanation. Adapt it to your own program. Your entries will not change.

Research theme/evaluation target
Conditions for evaluation-plan use
Variant: csQCA / fsQCA / mvQCA
csQCA(crisp-set)
Analyst
Analyst A (fictional)
Creation date
July 1, 2026 (fictional)

Reason for this entry: Do not indiscriminately import fuzzy-set values.

Writing tips and explanation for this section

About this section

Enter analysis basics

Do not indiscriminately import fuzzy-set values.

View the method explanation

Writing tips

Follow each field’s heading to record the program name, focus, period, and other details. Leave undecided matters clearly marked as unresolved.

Read the full fictional example

Define cases, outcomes and conditions

Enter case universe and variables

Completed example for this section (fictional)

This fictional example is for explanation. Adapt it to your own program. Your entries will not change.

What constitutes 1 case
One organization over 3 months after training
Case count N
4 fictional illustrative cases
Outcome Y definition
Meeting use within 3 months =1
Conditions X1–Xn and rationale
A: discussion meeting; B: staff continuity. Hypotheses about opportunities and handover

Reason for this entry: 4 is not a recommended QCA sample size.

Writing tips and explanation for this section

About this section

Enter case universe and variables

4 is not a recommended QCA sample size.

View the method explanation

Writing tips

Follow each field’s heading to record the program name, focus, period, and other details. Leave undecided matters clearly marked as unresolved.

Read the full fictional example

Calibration design

Enter membership criteria/evidence; distinguish fsQCA anchors from csQCA/other methods

Completed example for this section (fictional)

This fictional example is for explanation. Adapt it to your own program. Your entries will not change.

Scroll horizontally to view the table

VariableFull-membership anchor/criterion and rationaleCrossover anchor/criterion and rationale for fsQCA or similarNon-membership anchor/criterion and rationale
A: discussion meetingA meeting discusses the plan within 3 monthsNo 0.5 in csQCANo discussion meeting during target period
B: staff continuitySame person at training and use decisionNo 0.5 in csQCAStaff changed

Reason for this entry: For csQCA, the fsQCA-style crossover field is not applicable. State variant differences.

Scroll horizontally to view the table

VariableFull-membership anchor/criterion and rationaleCrossover anchor/criterion and rationale for fsQCA or similarNon-membership anchor/criterion and rationale
Writing tips and explanation for this section

About this section

Enter membership criteria/evidence; distinguish fsQCA anchors from csQCA/other methods

For csQCA, the fsQCA-style crossover field is not applicable. State variant differences.

View the method explanation

Writing tips

Keep the information in each row aligned. Scroll wide tables horizontally to see every column.

Read the full fictional example

Necessity/sufficiency findings

Enter analytical findings

Completed example for this section (fictional)

This fictional example is for explanation. Adapt it to your own program. Your entries will not change.

Scroll horizontally to view the table

Condition or solution combinationConsistencyCoverageInterpretation
A*B → Y: sufficiency1.00=2/21.00=2/2Consistent in these 4 cases; attend to unobserved combinations and scope

Reason for this entry: Do not mix necessity and sufficiency in one expression.

Scroll horizontally to view the table

Condition or solution combinationConsistencyCoverageInterpretation
Writing tips and explanation for this section

About this section

Enter analytical findings

Do not mix necessity and sufficiency in one expression.

View the method explanation

Writing tips

Keep the information in each row aligned. Scroll wide tables horizontally to see every column.

Read the full fictional example

Design checklist

Completed example for this section (fictional)

This fictional example is for explanation. Adapt it to your own program. Your entries will not change.

  • ☑ Checked: Defined universe with theoretical grounds
  • ☐ Not checked: Recorded condition choices from research/theory
  • ☑ Checked: Documented anchor rationale
  • ☑ Checked: Named actual cases for each truth-table combination
  • ☐ Not checked: Distinguished necessity/sufficiency, reported consistency/coverage and assessed criteria/sensitivity
  • ☐ Not checked: Examined complex/intermediate/parsimonious solutions and remainder assumptions and justified selection
  • ☑ Checked: Plan or explicit statement for supplementing with process tracing or similar

Reason for this entry: Values are fictional-table arithmetic. Consistency/coverage shown, but literature grounds, alternative settings and solution comparisons remain incomplete.

Writing tips and explanation for this section

About this section

Values are fictional-table arithmetic. Consistency/coverage shown, but literature grounds, alternative settings and solution comparisons remain incomplete.

View the method explanation

Writing tips

Read each item and check those you have confirmed. Do not use the fictional example’s checkbox states as findings about your own program.

Read the full fictional example

Before writing, check when to use the worksheet and what completion involves

QCA design and calibration worksheet is a worksheet for applying Qualitative Comparative Analysis in meetings or individual work. For the overall duration of the method, use “Illustrative planning durations, not common standards: design/preparation 1–2 months, analysis/interpretation 2–4 weeks” as a reference, adjusting for scale and resources. Fill in what you know provisionally and leave unresolved matters as questions to check next.

When this worksheet is useful

  • Compare about 10–50 countries, organizations or sites to identify combinations associated with success/failure
  • Systematically compare successes/failures for lessons about important conditions
  • Multiple combinations may achieve the same result: equifinality

Participants and preparation

1–2 trained evaluators/researchers using R QCA/SetMethods or fs/QCA; domain expertise is essential for calibration

Bring the materials used for decisions, existing data, and differing stakeholder views to help complete the worksheet.

Suggested order

  1. 1. Basic informationEnter analysis basics
  2. 2. Define cases, outcomes and conditionsEnter case universe and variables
  3. 3. Calibration designEnter membership criteria/evidence; distinguish fsQCA anchors from csQCA/other methods
  4. 4. Necessity/sufficiency findingsEnter analytical findings
  5. 5. Design checklist

Signs the worksheet is ready for review

  • Truth table: condition combinations × cases × outcomes
  • Sufficient solutions and consistency/coverage
  • Case-solution correspondence

Cautions for review

  • Unjustified subjective calibration, such as intuitive 0.5, undermines credibility. Always record/report anchors from substantive thresholds, prior research or expertise.
  • Distinguish solution types and report remainders/counterfactual choices; no solution is automatically best.
  • High consistency with low coverage explains little of outcomes; report both.
Read a completed fictional example (your entries will not change)
Fictional example; not actual results

A fictional crisp-set example of 4 cases: A=discussion meeting, B=staff continuity, Y=plan use.

Basic information

Research theme/evaluation target
Conditions for evaluation-plan use
Variant: csQCA / fsQCA / mvQCA
csQCA(crisp-set)
Analyst
Analyst A (fictional)
Creation date
July 1, 2026 (fictional)

Reason for this entry: Do not indiscriminately import fuzzy-set values.

Define cases, outcomes and conditions

What constitutes 1 case
One organization over 3 months after training
Case count N
4 fictional illustrative cases
Outcome Y definition
Meeting use within 3 months =1
Conditions X1–Xn and rationale
A: discussion meeting; B: staff continuity. Hypotheses about opportunities and handover

Reason for this entry: 4 is not a recommended QCA sample size.

Calibration design

Scroll horizontally to view the table

VariableFull-membership anchor/criterion and rationaleCrossover anchor/criterion and rationale for fsQCA or similarNon-membership anchor/criterion and rationale
A: discussion meetingA meeting discusses the plan within 3 monthsNo 0.5 in csQCANo discussion meeting during target period
B: staff continuitySame person at training and use decisionNo 0.5 in csQCAStaff changed

Reason for this entry: For csQCA, the fsQCA-style crossover field is not applicable. State variant differences.

Necessity/sufficiency findings

Scroll horizontally to view the table

Condition or solution combinationConsistencyCoverageInterpretation
A*B → Y: sufficiency1.00=2/21.00=2/2Consistent in these 4 cases; attend to unobserved combinations and scope

Reason for this entry: Do not mix necessity and sufficiency in one expression.

Design checklist

  • ☑ Checked: Defined universe with theoretical grounds
  • ☐ Not checked: Recorded condition choices from research/theory
  • ☑ Checked: Documented anchor rationale
  • ☑ Checked: Named actual cases for each truth-table combination
  • ☐ Not checked: Distinguished necessity/sufficiency, reported consistency/coverage and assessed criteria/sensitivity
  • ☐ Not checked: Examined complex/intermediate/parsimonious solutions and remainder assumptions and justified selection
  • ☑ Checked: Plan or explicit statement for supplementing with process tracing or similar

Reason for this entry: Values are fictional-table arithmetic. Consistency/coverage shown, but literature grounds, alternative settings and solution comparisons remain incomplete.

Common errors in judgment

Mechanically split conditions at their mean into 0/1

How to revise: Calibrate from conceptual boundaries and case evidence

Reason: Scale numbers differ from meaning of membership.

Ignore other combinations/counterexamples because consistency is high

How to revise: Check contradictions and unobserved combinations

Reason: Results depend on selection and simplification assumptions.

Editorial and checking information

Content updated: Source checked: (includes AI cross-checking)No documented human reviewIncludes fictional examplesEditorial policy and scope of checkingCite this pageReport a correction

References and checked sections

  1. Qualitative comparative analysis
    BetterEvaluation
    Section consulted
    Qualitative Comparative Analysis / Causal Pathway features
    How it relates to the text
    Distinguish combinations, necessity/sufficiency and calibration grounds; separately examine absent outcomes.
    Source checked: (includes AI cross-checking)

How to cite this page

EvalCompass Editorial Team. “QCA design and calibration worksheet”. EvalCompass, updated 2026-09-13. https://evalcompass.jun-nakatani.com/en/worksheets/qca/
Add the date you accessed the page. Text created by this site is available under CC BY 4.0. Quotations, external materials, and bundled fonts have their own terms of use. When reusing content, credit the source, link to the license, and indicate any changes.

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Change history
  • — Checked sources for definitions and conditions and added fictional examples, judgment rationales and completed entries for every field. Revised unsupported historical or uptake claims. Reviewed procedures and cautions, adjusting fixed counts, thresholds and institutional generalizations. Preserved field positions, types and counts while revising fixed conditions and thresholds.