QMCA Measurement Invariance Results.

<div><p>The underrepresentation of women and minority students in STEMM graduate programs remain a significant challenge, compounded by biases in traditional admissions processes and barriers to effective mentoring and retention. This study develops and validates the Quinn Miller Compete...

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Main Author: Joann Farrell Quinn (17405779) (author)
Other Authors: Philip A. Cola (12540280) (author), Melissa Cooper (13248918) (author), Casey Miller (677470) (author)
Published: 2025
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author Joann Farrell Quinn (17405779)
author2 Philip A. Cola (12540280)
Melissa Cooper (13248918)
Casey Miller (677470)
author2_role author
author
author
author_facet Joann Farrell Quinn (17405779)
Philip A. Cola (12540280)
Melissa Cooper (13248918)
Casey Miller (677470)
author_role author
dc.creator.none.fl_str_mv Joann Farrell Quinn (17405779)
Philip A. Cola (12540280)
Melissa Cooper (13248918)
Casey Miller (677470)
dc.date.none.fl_str_mv 2025-09-02T17:43:16Z
dc.identifier.none.fl_str_mv 10.1371/journal.pone.0328308.t007
dc.relation.none.fl_str_mv https://figshare.com/articles/dataset/QMCA_Measurement_Invariance_Results_/30035164
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Developmental Biology
Science Policy
Biological Sciences not elsewhere classified
tested using exploratory
invariance across gender
confirmatory factor analyses
diverse scientific community
tool &# 8217
traditional admissions processes
qmca &# 8217
applicants &# 8217
student development contexts
stemm graduate students
social behavioral competencies
social intelligence
minority students
diverse samples
tool designed
survey tool
xlink ">
underrepresented groups
success efforts
study develops
student retention
stemm fields
specifically explore
significant challenge
qmca aims
qmca ),
improve access
holistic evaluation
future research
expert consultations
ethnicity supporting
empirical studies
effective mentoring
competencies crucial
assess emotional
achievement orientation
dc.title.none.fl_str_mv QMCA Measurement Invariance Results.
dc.type.none.fl_str_mv Dataset
info:eu-repo/semantics/publishedVersion
dataset
description <div><p>The underrepresentation of women and minority students in STEMM graduate programs remain a significant challenge, compounded by biases in traditional admissions processes and barriers to effective mentoring and retention. This study develops and validates the Quinn Miller Competency Assessment (QMCA), a tool designed to assess emotional and social intelligence (ESI) competencies crucial for STEMM graduate student success. The QMCA was created through an iterative process involving literature review, expert consultations, and empirical studies. It evaluates five key competencies: self-awareness, self-control, adaptability, achievement orientation, and teamwork. The tool’s validity and reliability were tested using exploratory and confirmatory factor analyses on diverse samples of STEMM graduate students and applicants. Results demonstrated strong construct validity and reliability and invariance across gender and race/ethnicity supporting the QMCA’s use in both admissions and student development contexts, in conjunction with other measures. By enabling a more holistic evaluation of applicants’ competencies through an assessment that fairly and consistently evaluates individuals across demographic groups, the QMCA aims to improve access and retention for underrepresented groups in STEMM fields, fostering a more inclusive and diverse scientific community. Future research will specifically explore how the QMCA can enhance holistic evaluation processes and contribute to student retention and success efforts. Additionally, we will test its applicability across broader disciplines.</p></div>
eu_rights_str_mv openAccess
id Manara_8fffc8e50c19e45c3df2b8f38ef0af50
identifier_str_mv 10.1371/journal.pone.0328308.t007
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/30035164
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling QMCA Measurement Invariance Results.Joann Farrell Quinn (17405779)Philip A. Cola (12540280)Melissa Cooper (13248918)Casey Miller (677470)Developmental BiologyScience PolicyBiological Sciences not elsewhere classifiedtested using exploratoryinvariance across genderconfirmatory factor analysesdiverse scientific communitytool &# 8217traditional admissions processesqmca &# 8217applicants &# 8217student development contextsstemm graduate studentssocial behavioral competenciessocial intelligenceminority studentsdiverse samplestool designedsurvey toolxlink ">underrepresented groupssuccess effortsstudy developsstudent retentionstemm fieldsspecifically exploresignificant challengeqmca aimsqmca ),improve accessholistic evaluationfuture researchexpert consultationsethnicity supportingempirical studieseffective mentoringcompetencies crucialassess emotionalachievement orientation<div><p>The underrepresentation of women and minority students in STEMM graduate programs remain a significant challenge, compounded by biases in traditional admissions processes and barriers to effective mentoring and retention. This study develops and validates the Quinn Miller Competency Assessment (QMCA), a tool designed to assess emotional and social intelligence (ESI) competencies crucial for STEMM graduate student success. The QMCA was created through an iterative process involving literature review, expert consultations, and empirical studies. It evaluates five key competencies: self-awareness, self-control, adaptability, achievement orientation, and teamwork. The tool’s validity and reliability were tested using exploratory and confirmatory factor analyses on diverse samples of STEMM graduate students and applicants. Results demonstrated strong construct validity and reliability and invariance across gender and race/ethnicity supporting the QMCA’s use in both admissions and student development contexts, in conjunction with other measures. By enabling a more holistic evaluation of applicants’ competencies through an assessment that fairly and consistently evaluates individuals across demographic groups, the QMCA aims to improve access and retention for underrepresented groups in STEMM fields, fostering a more inclusive and diverse scientific community. Future research will specifically explore how the QMCA can enhance holistic evaluation processes and contribute to student retention and success efforts. Additionally, we will test its applicability across broader disciplines.</p></div>2025-09-02T17:43:16ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0328308.t007https://figshare.com/articles/dataset/QMCA_Measurement_Invariance_Results_/30035164CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/300351642025-09-02T17:43:16Z
spellingShingle QMCA Measurement Invariance Results.
Joann Farrell Quinn (17405779)
Developmental Biology
Science Policy
Biological Sciences not elsewhere classified
tested using exploratory
invariance across gender
confirmatory factor analyses
diverse scientific community
tool &# 8217
traditional admissions processes
qmca &# 8217
applicants &# 8217
student development contexts
stemm graduate students
social behavioral competencies
social intelligence
minority students
diverse samples
tool designed
survey tool
xlink ">
underrepresented groups
success efforts
study develops
student retention
stemm fields
specifically explore
significant challenge
qmca aims
qmca ),
improve access
holistic evaluation
future research
expert consultations
ethnicity supporting
empirical studies
effective mentoring
competencies crucial
assess emotional
achievement orientation
status_str publishedVersion
title QMCA Measurement Invariance Results.
title_full QMCA Measurement Invariance Results.
title_fullStr QMCA Measurement Invariance Results.
title_full_unstemmed QMCA Measurement Invariance Results.
title_short QMCA Measurement Invariance Results.
title_sort QMCA Measurement Invariance Results.
topic Developmental Biology
Science Policy
Biological Sciences not elsewhere classified
tested using exploratory
invariance across gender
confirmatory factor analyses
diverse scientific community
tool &# 8217
traditional admissions processes
qmca &# 8217
applicants &# 8217
student development contexts
stemm graduate students
social behavioral competencies
social intelligence
minority students
diverse samples
tool designed
survey tool
xlink ">
underrepresented groups
success efforts
study develops
student retention
stemm fields
specifically explore
significant challenge
qmca aims
qmca ),
improve access
holistic evaluation
future research
expert consultations
ethnicity supporting
empirical studies
effective mentoring
competencies crucial
assess emotional
achievement orientation