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Michael E. Sobel: Works & Art

Michael Edward Sobel is an American statistician who is a professor in the Department of Statistics at Columbia University. He is known for developing the Sobel test, a statistical test that is used to detect the presence of mediation between two variables by a third variable.

Language: English [EN]
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Michael E. Sobel topic overview

The analysis highlights Works and Art as prominent areas in the source structure around Michael E. Sobel.

Related topics
4
Source areas
1
Connected nodes
5
Extracted relationships
10
Concept neighborhoods
6
Bridge connections
5

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 4 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Known for
Sobel test
Education
Florida State University University of Wisconsin–Madison
Born
Michael Edward Sobel
Doctoral advisor
Halliman H. Winsborough
Fields
Statistics
Thesis
Lifestyle and Social Structure in Contemporary American Society: Concepts, Definitions, and Analyses (1980)

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

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.

How Michael E. Sobel connects Entity context

The extracted context around Michael E. Sobel shows recurring relationship patterns in the source. For example, Michael E. Sobel → Faculty, Google Scholar, Sobel Another extracted example is Michael E. Sobel → Michael Edward Sobel. Use these groups to spot repeated connection types before inspecting the individual relationships.

Michael E. Sobel

Top relations

related to External links · 3
Michael E. Sobel → Faculty, Google Scholar, Sobel
Born · 1
Michael E. Sobel → Michael Edward Sobel
Doctoral advisor · 1
Michael E. Sobel → Halliman H. Winsborough
Education · 1
Michael E. Sobel → Florida State University University of Wisconsin–Madison
Fields · 1
Michael E. Sobel → Statistics
Known for · 1
Michael E. Sobel → Sobel test
Thesis · 1
Michael E. Sobel → Lifestyle and Social Structure in Contemporary American Society: Concepts, Definitions, and Analyses (1980)
Workplaces · 1
Michael E. Sobel → Columbia University

Important terminology

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

Important terminology

sobel michael statistics edward american columbia university known test halliman winsborough mediation statistician professor department developing statistical used detect presence

Michael E. Sobel relationships Subject–Predicate–Object triples

TTTA extracted 10 structured relationships around Michael E. Sobel. Examples in this analysis include Michael E. Sobel → Born → Michael Edward Sobel and Michael E. Sobel → Doctoral advisor → Halliman H. Winsborough. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Michael E. SobelBornMichael Edward Sobel1.00infobox
Michael E. SobelDoctoral advisorHalliman H. Winsborough1.00infobox
Michael E. SobelEducationFlorida State University University of Wisconsin–Madison1.00infobox
Michael E. SobelFieldsStatistics1.00infobox
Michael E. SobelKnown forSobel test1.00infobox
Michael E. SobelThesisLifestyle and Social Structure in Contemporary American Society: Concepts, Definitions, and Analyses (1980)1.00infobox
Michael E. SobelWorkplacesColumbia University1.00infobox
Michael E. Sobelrelated to External linksFaculty0.60section
Michael E. Sobelrelated to External linksSobel0.60section
Michael E. Sobelrelated to External linksGoogle Scholar0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Michael E. Sobel bring nearby vocabulary together. In this analysis, examples include American, Columbia and Statistics. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Michael E. Sobel
    • American
    • Columbia
    • Statistics
    • University
    • Sobel
    • Department
    • External
    • Links
    • Professor
    • References
    • Statistician
    • Detect
  • michael e. sobel
    • American
    • Columbia
    • Statistics
    • University
    • Known
    • Test
    • Sobel
    • Department
    • External
    • Links
    • Professor
    • References
  • sobel test
    • External
    • Known
    • Links
    • References
    • Statistics
    • Test
    • Third
    • Two
    • University
    • Used
    • Variable
    • Variables
  • columbia university
    • American
    • Columbia
    • Edward
    • Statistics
    • University
    • Michael
    • Department
    • External
    • Links
    • Professor
    • References
    • Sobel
  • statistical test
    • Third
    • Two
    • Used
    • Variable
    • Variables
    • External
    • Links
    • References
    • Test
    • Halliman
    • University
  • mediation
    • Presence
    • Statistical
    • Third
    • Two
    • Used
    • Variable
    • Variables
    • Test
    • Sobel

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the Michael E. Sobel map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

Michael E. Sobel

Nodes6
Edges5
Triples10
Avg. degree1.67
Density0.333333
Components1

Source & methodology

TTTA analyzes the structure around Michael E. Sobel to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Michael E. Sobel · EN edition · Analysis: TopicsToTalkAbout

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