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Preliminary psychometric analysis of holistic wellbeing among diverse college students.

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Title: Preliminary psychometric analysis of holistic wellbeing among diverse college students.
Authors: Yang, John (AUTHOR)
Source: Journal of American College Health. Jul2026, Vol. 74 Issue 6, p1821-1831. 11p.
Subjects: Holistic medicine, Student satisfaction, Pearson correlation (Statistics), Scale analysis (Psychology), Income, Cronbach's alpha, T-test (Statistics), Data analysis, Undergraduates, Research methodology evaluation, Public sector, Research evaluation, Pilot projects, Health, Psychological well-being, Judgment sampling, Descriptive statistics, Chi-squared test, Race, Psychometrics, Research methodology, Academic achievement, Research, Inferential statistics, One-way analysis of variance, Statistics, Factor analysis, Data analysis software, Educational attainment, Regression analysis
Geographic Terms: United States
Abstract: Objective: This study examined the psychometric properties and preliminary validity of a nine-item evaluative scale designed to capture holistic wellbeing among college students. Participants: Data came from 197 racially/ethnically, socioeconomically, and educationally diverse full-time undergraduates, primarily from a large public university. Methods: Exploratory factor analysis with principal axis factoring and Promax rotation assessed structural validity and internal consistency, while preliminary nomological validity was examined through correlations and mean differences across academic and demographic characteristics. Results: A reliable single-factor solution emerged (α =.86), explaining 41.3% of the variance and supporting a unidimensional construct of evaluative holistic wellbeing. Significant differences were observed by year in college, GPA, household income, first-generation status, and race/ethnicity. Conclusions: Findings provide preliminary support for an evaluative holistic wellbeing factor that captures students' satisfaction across life domains and meaningfully differentiates wellbeing across diverse student populations. [ABSTRACT FROM AUTHOR]
Copyright of Journal of American College Health is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Preliminary psychometric analysis of holistic wellbeing among diverse college students.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+American+College+Health%22">Journal of American College Health</searchLink>. Jul2026, Vol. 74 Issue 6, p1821-1831. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Holistic+medicine%22">Holistic medicine</searchLink><br /><searchLink fieldCode="DE" term="%22Student+satisfaction%22">Student satisfaction</searchLink><br /><searchLink fieldCode="DE" term="%22Pearson+correlation+%28Statistics%29%22">Pearson correlation (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Scale+analysis+%28Psychology%29%22">Scale analysis (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Income%22">Income</searchLink><br /><searchLink fieldCode="DE" term="%22Cronbach's+alpha%22">Cronbach's alpha</searchLink><br /><searchLink fieldCode="DE" term="%22T-test+%28Statistics%29%22">T-test (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Undergraduates%22">Undergraduates</searchLink><br /><searchLink fieldCode="DE" term="%22Research+methodology+evaluation%22">Research methodology evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Public+sector%22">Public sector</searchLink><br /><searchLink fieldCode="DE" term="%22Research+evaluation%22">Research evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Pilot+projects%22">Pilot projects</searchLink><br /><searchLink fieldCode="DE" term="%22Health%22">Health</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+well-being%22">Psychological well-being</searchLink><br /><searchLink fieldCode="DE" term="%22Judgment+sampling%22">Judgment sampling</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Chi-squared+test%22">Chi-squared test</searchLink><br /><searchLink fieldCode="DE" term="%22Race%22">Race</searchLink><br /><searchLink fieldCode="DE" term="%22Psychometrics%22">Psychometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Research+methodology%22">Research methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Academic+achievement%22">Academic achievement</searchLink><br /><searchLink fieldCode="DE" term="%22Research%22">Research</searchLink><br /><searchLink fieldCode="DE" term="%22Inferential+statistics%22">Inferential statistics</searchLink><br /><searchLink fieldCode="DE" term="%22One-way+analysis+of+variance%22">One-way analysis of variance</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Factor+analysis%22">Factor analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+attainment%22">Educational attainment</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Objective: This study examined the psychometric properties and preliminary validity of a nine-item evaluative scale designed to capture holistic wellbeing among college students. Participants: Data came from 197 racially/ethnically, socioeconomically, and educationally diverse full-time undergraduates, primarily from a large public university. Methods: Exploratory factor analysis with principal axis factoring and Promax rotation assessed structural validity and internal consistency, while preliminary nomological validity was examined through correlations and mean differences across academic and demographic characteristics. Results: A reliable single-factor solution emerged (α =.86), explaining 41.3% of the variance and supporting a unidimensional construct of evaluative holistic wellbeing. Significant differences were observed by year in college, GPA, household income, first-generation status, and race/ethnicity. Conclusions: Findings provide preliminary support for an evaluative holistic wellbeing factor that captures students' satisfaction across life domains and meaningfully differentiates wellbeing across diverse student populations. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of American College Health is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=195126952
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/07448481.2026.2623001
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 1821
    Subjects:
      – SubjectFull: Holistic medicine
        Type: general
      – SubjectFull: Student satisfaction
        Type: general
      – SubjectFull: Pearson correlation (Statistics)
        Type: general
      – SubjectFull: Scale analysis (Psychology)
        Type: general
      – SubjectFull: Income
        Type: general
      – SubjectFull: Cronbach's alpha
        Type: general
      – SubjectFull: T-test (Statistics)
        Type: general
      – SubjectFull: Data analysis
        Type: general
      – SubjectFull: Undergraduates
        Type: general
      – SubjectFull: Research methodology evaluation
        Type: general
      – SubjectFull: Public sector
        Type: general
      – SubjectFull: Research evaluation
        Type: general
      – SubjectFull: Pilot projects
        Type: general
      – SubjectFull: Health
        Type: general
      – SubjectFull: Psychological well-being
        Type: general
      – SubjectFull: Judgment sampling
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Chi-squared test
        Type: general
      – SubjectFull: Race
        Type: general
      – SubjectFull: Psychometrics
        Type: general
      – SubjectFull: Research methodology
        Type: general
      – SubjectFull: Academic achievement
        Type: general
      – SubjectFull: Research
        Type: general
      – SubjectFull: Inferential statistics
        Type: general
      – SubjectFull: One-way analysis of variance
        Type: general
      – SubjectFull: Statistics
        Type: general
      – SubjectFull: Factor analysis
        Type: general
      – SubjectFull: Data analysis software
        Type: general
      – SubjectFull: Educational attainment
        Type: general
      – SubjectFull: Regression analysis
        Type: general
      – SubjectFull: United States
        Type: general
    Titles:
      – TitleFull: Preliminary psychometric analysis of holistic wellbeing among diverse college students.
        Type: main
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            NameFull: Yang, John
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            – D: 01
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
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