From Labels to Profiles: Using Discriminant Analysis to Deepen Post Hoc ANOVA Results

Saved in:
Bibliographic Details
Title: From Labels to Profiles: Using Discriminant Analysis to Deepen Post Hoc ANOVA Results
Language: English
Authors: Gary J. Conti
Source: Journal of Education and Learning. 2026 15(2):1-10.
Availability: Canadian Center of Science and Education. 1595 Sixteenth Ave Suite 301, Richmond Hill, Ontario, L4B 3N9 Canada. Tel: 416-642-2606; Fax: 416-642-2608; e-mail: jel@ccsenet.org; Web site: http://www.ccsenet.org/journal/index.php/jel
Peer Reviewed: Y
Page Count: 10
Publication Date: 2026
Document Type: Journal Articles
Reports - Evaluative
Education Level: Higher Education
Postsecondary Education
Descriptors: Statistical Analysis, Discriminant Analysis, Educational Research, Foreign Countries, Nursing Education, Teaching Styles, Educational Philosophy, College Faculty
Geographic Terms: Japan
ISSN: 1927-5250
1927-5269
Abstract: In educational research, the Analysis of Variance (ANOVA) is a cornerstone method for detecting differences among group means. Yet, post hoc test results are often reported superficially--merely identifying which groups differ without explaining how or why. This paper introduces discriminant analysis as a complementary multivariate technique that deepens the interpretation of post hoc ANOVA results by moving beyond group labels to develop rich, descriptive profiles of group characteristics. It provides a step-by-step guide for applying discriminant analysis to the homogeneous subsets identified in post hoc testing, including specific recommendations for accessible software options such as SPSS, Excel with add-ins, and the open-source R programming language. To illustrate this method, data are presented from a national study of Japanese nursing educators, in which initial ANOVA and post hoc tests revealed significant differences in teaching style across educational philosophy clusters. Applying discriminant analysis yielded detailed profiles that clarified the distinction between Teacher-Centered and Learner-Centered orientations, transforming the findings from basic group differences to actionable insights. This enhanced method bridges the gap between statistical significance and interpretability, offering clear benefits for educators, researchers, and policymakers. By integrating ANOVA, post hoc testing, and discriminant analysis, researchers can move from detecting group differences to fully describing them, enriching both methodological rigor and practical application across educational and social science research.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1507263
Database: ERIC
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1507263
    Name: ERIC Full Text
    Category: fullText
    Text: Full Text from ERIC
Header DbId: eric
DbLabel: ERIC
An: EJ1507263
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: From Labels to Profiles: Using Discriminant Analysis to Deepen Post Hoc ANOVA Results
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Gary+J%2E+Conti%22">Gary J. Conti</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22Journal+of+Education+and+Learning%22"><i>Journal of Education and Learning</i></searchLink>. 2026 15(2):1-10.
– Name: Avail
  Label: Availability
  Group: Avail
  Data: Canadian Center of Science and Education. 1595 Sixteenth Ave Suite 301, Richmond Hill, Ontario, L4B 3N9 Canada. Tel: 416-642-2606; Fax: 416-642-2608; e-mail: jel@ccsenet.org; Web site: http://www.ccsenet.org/journal/index.php/jel
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: Y
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 10
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2026
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Journal Articles<br />Reports - Evaluative
– Name: Audience
  Label: Education Level
  Group: Audnce
  Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink>
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Statistical+Analysis%22">Statistical Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Discriminant+Analysis%22">Discriminant Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Research%22">Educational Research</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Nursing+Education%22">Nursing Education</searchLink><br /><searchLink fieldCode="DE" term="%22Teaching+Styles%22">Teaching Styles</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Philosophy%22">Educational Philosophy</searchLink><br /><searchLink fieldCode="DE" term="%22College+Faculty%22">College Faculty</searchLink>
– Name: Subject
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Japan%22">Japan</searchLink>
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 1927-5250<br />1927-5269
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In educational research, the Analysis of Variance (ANOVA) is a cornerstone method for detecting differences among group means. Yet, post hoc test results are often reported superficially--merely identifying which groups differ without explaining how or why. This paper introduces discriminant analysis as a complementary multivariate technique that deepens the interpretation of post hoc ANOVA results by moving beyond group labels to develop rich, descriptive profiles of group characteristics. It provides a step-by-step guide for applying discriminant analysis to the homogeneous subsets identified in post hoc testing, including specific recommendations for accessible software options such as SPSS, Excel with add-ins, and the open-source R programming language. To illustrate this method, data are presented from a national study of Japanese nursing educators, in which initial ANOVA and post hoc tests revealed significant differences in teaching style across educational philosophy clusters. Applying discriminant analysis yielded detailed profiles that clarified the distinction between Teacher-Centered and Learner-Centered orientations, transforming the findings from basic group differences to actionable insights. This enhanced method bridges the gap between statistical significance and interpretability, offering clear benefits for educators, researchers, and policymakers. By integrating ANOVA, post hoc testing, and discriminant analysis, researchers can move from detecting group differences to fully describing them, enriching both methodological rigor and practical application across educational and social science research.
– Name: AbstractInfo
  Label: Abstractor
  Group: Ab
  Data: As Provided
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 2026
– Name: AN
  Label: Accession Number
  Group: ID
  Data: EJ1507263
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1507263
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 1
    Subjects:
      – SubjectFull: Statistical Analysis
        Type: general
      – SubjectFull: Discriminant Analysis
        Type: general
      – SubjectFull: Educational Research
        Type: general
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Nursing Education
        Type: general
      – SubjectFull: Teaching Styles
        Type: general
      – SubjectFull: Educational Philosophy
        Type: general
      – SubjectFull: College Faculty
        Type: general
      – SubjectFull: Japan
        Type: general
    Titles:
      – TitleFull: From Labels to Profiles: Using Discriminant Analysis to Deepen Post Hoc ANOVA Results
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Gary J. Conti
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 1927-5250
            – Type: issn-electronic
              Value: 1927-5269
          Numbering:
            – Type: volume
              Value: 15
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Journal of Education and Learning
              Type: main
ResultId 1