Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Fleiss's kappa

Fleiss's kappa is a statistical measure for assessing the reliability of agreement between a fixed number of raters when assigning categorical ratings to a number of items. This contrasts with other kappas such as Cohen's kappa, which only work when assessing the agreement between two raters or the intra-rater reliability (for one appraiser versus…

Tests of significance, Interpretation & Overview

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Fleiss's kappa. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Tests of significance

2 related topics

Interpretation

1 related topics

Overview

9 related topics

Introduction

3 related topics

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Introduction

Interpretation

Tests of significance

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Fleiss's kappa

Nodes20
Edges19
Triples42
Avg. degree1.9
Density0.1
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Fleiss's kappa

Top relations

related to Introduction · 13
Fleiss's kappa → Agreement, Cohen's, Fleiss's, If, It, Item, Raters, Scott's, That, The, Whereas Cohen's, Whereas Scott's, Youden's
related to External links · 11
Fleiss's kappa → Brennan-Prediger, Cloud-based, Cohen's, Cons, Fleiss, Fleiss's, Gwet's AC1/AC2, Kappa Calculator Archived, Krippendorff's, Pros, Wayback Machine
related to Worked example · 8
Fleiss's kappa → An, Each, Fleiss's, For, In, Over, The, These
related to Tests of significance · 7
Fleiss's kappa → Cohen's, Fleiss's, However, P-value, Statistical, The, Z-score
is a · 1
Fleiss's kappa → statistical measure for assessing the reliability of agreement between a fixed number of raters when assigning categorical ratings to a number of items

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

kappa raters agreement fleiss's displaystyle number ratings statistical reliability example categories cohen's chance items expected measure frac fixed would fleiss

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Fleiss's kappais astatistical measure for assessing the reliability of agreement between a fixed number of raters when assigning categorical ratings to a number of items0.90text
Cohen's kappainstance ofThis contrasts with other kappas0.80text
which only work when assessing the agreement between two raters or the intra-rater reliabilityinstance ofThis contrasts with other kappas0.80text
Fleiss's kapparelated to External linksCloud-based0.60section
Fleiss's kapparelated to External linksCohen's0.60section
Fleiss's kapparelated to External linksGwet's AC1/AC20.60section
Fleiss's kapparelated to External linksKrippendorff's0.60section
Fleiss's kapparelated to External linksBrennan-Prediger0.60section
Fleiss's kapparelated to External linksFleiss0.60section
Fleiss's kapparelated to External linksPros0.60section
Fleiss's kapparelated to External linksCons0.60section
Fleiss's kapparelated to External linksKappa Calculator Archived0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.