Quantifying and interpreting group differences in interest profiles

Patrick Ian Armstrong, Nadya A. Fouad, James Rounds, Lawrence Hubert

Research output: Contribution to journalArticle

Abstract

Research on group differences in interests has often focused on structural hypotheses and mean-score differences in Holland's (1997) theory, with comparatively little research on basic interest measures. Group differences in interest profiles were examined using statistical methods for matching individuals with occupations, the C-index, Q correlations, and Euclidean distance measures. Profile similarity across U.S. racial-ethnic groups was evaluated with students and employed adults who completed the General Occupational Themes (GOT) and Basic interest scales (BIS) of the Strong Interest Inventory (SII). Obtained results suggest that profile shape varies systematically by gender and employment status, with the Euclidean distance measure being more effective than Q correlations for representing these differences and Q correlation more effective than the C-index. Group differences in interest profiles may lead to men and women receiving differential feedback on the fit between their interests and different careers, which may contribute to gender differences in the pursuit of careers in the fields of science, technology, engineering, and mathematics.

Original languageEnglish (US)
Pages (from-to)115-132
Number of pages18
JournalJournal of Career Assessment
Volume18
Issue number2
DOIs
StatePublished - May 1 2010

Fingerprint

Mathematics
Occupations
Ethnic Groups
Research
Students
Technology
Equipment and Supplies
Distance measure
Euclidean distance

Keywords

  • Human sex differences
  • Interest assessment
  • Multidimensional scaling
  • Profile similarity
  • Racial-ethnic group differences

ASJC Scopus subject areas

  • Psychology(all)
  • Applied Psychology
  • Organizational Behavior and Human Resource Management

Cite this

Quantifying and interpreting group differences in interest profiles. / Armstrong, Patrick Ian; Fouad, Nadya A.; Rounds, James; Hubert, Lawrence.

In: Journal of Career Assessment, Vol. 18, No. 2, 01.05.2010, p. 115-132.

Research output: Contribution to journalArticle

Armstrong, Patrick Ian ; Fouad, Nadya A. ; Rounds, James ; Hubert, Lawrence. / Quantifying and interpreting group differences in interest profiles. In: Journal of Career Assessment. 2010 ; Vol. 18, No. 2. pp. 115-132.
@article{c1e43397190e47e1bc854b2b83434326,
title = "Quantifying and interpreting group differences in interest profiles",
abstract = "Research on group differences in interests has often focused on structural hypotheses and mean-score differences in Holland's (1997) theory, with comparatively little research on basic interest measures. Group differences in interest profiles were examined using statistical methods for matching individuals with occupations, the C-index, Q correlations, and Euclidean distance measures. Profile similarity across U.S. racial-ethnic groups was evaluated with students and employed adults who completed the General Occupational Themes (GOT) and Basic interest scales (BIS) of the Strong Interest Inventory (SII). Obtained results suggest that profile shape varies systematically by gender and employment status, with the Euclidean distance measure being more effective than Q correlations for representing these differences and Q correlation more effective than the C-index. Group differences in interest profiles may lead to men and women receiving differential feedback on the fit between their interests and different careers, which may contribute to gender differences in the pursuit of careers in the fields of science, technology, engineering, and mathematics.",
keywords = "Human sex differences, Interest assessment, Multidimensional scaling, Profile similarity, Racial-ethnic group differences",
author = "Armstrong, {Patrick Ian} and Fouad, {Nadya A.} and James Rounds and Lawrence Hubert",
year = "2010",
month = "5",
day = "1",
doi = "10.1177/1069072709354367",
language = "English (US)",
volume = "18",
pages = "115--132",
journal = "Journal of Career Assessment",
issn = "1069-0727",
publisher = "SAGE Publications Inc.",
number = "2",

}

TY - JOUR

T1 - Quantifying and interpreting group differences in interest profiles

AU - Armstrong, Patrick Ian

AU - Fouad, Nadya A.

AU - Rounds, James

AU - Hubert, Lawrence

PY - 2010/5/1

Y1 - 2010/5/1

N2 - Research on group differences in interests has often focused on structural hypotheses and mean-score differences in Holland's (1997) theory, with comparatively little research on basic interest measures. Group differences in interest profiles were examined using statistical methods for matching individuals with occupations, the C-index, Q correlations, and Euclidean distance measures. Profile similarity across U.S. racial-ethnic groups was evaluated with students and employed adults who completed the General Occupational Themes (GOT) and Basic interest scales (BIS) of the Strong Interest Inventory (SII). Obtained results suggest that profile shape varies systematically by gender and employment status, with the Euclidean distance measure being more effective than Q correlations for representing these differences and Q correlation more effective than the C-index. Group differences in interest profiles may lead to men and women receiving differential feedback on the fit between their interests and different careers, which may contribute to gender differences in the pursuit of careers in the fields of science, technology, engineering, and mathematics.

AB - Research on group differences in interests has often focused on structural hypotheses and mean-score differences in Holland's (1997) theory, with comparatively little research on basic interest measures. Group differences in interest profiles were examined using statistical methods for matching individuals with occupations, the C-index, Q correlations, and Euclidean distance measures. Profile similarity across U.S. racial-ethnic groups was evaluated with students and employed adults who completed the General Occupational Themes (GOT) and Basic interest scales (BIS) of the Strong Interest Inventory (SII). Obtained results suggest that profile shape varies systematically by gender and employment status, with the Euclidean distance measure being more effective than Q correlations for representing these differences and Q correlation more effective than the C-index. Group differences in interest profiles may lead to men and women receiving differential feedback on the fit between their interests and different careers, which may contribute to gender differences in the pursuit of careers in the fields of science, technology, engineering, and mathematics.

KW - Human sex differences

KW - Interest assessment

KW - Multidimensional scaling

KW - Profile similarity

KW - Racial-ethnic group differences

UR - http://www.scopus.com/inward/record.url?scp=77951647813&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77951647813&partnerID=8YFLogxK

U2 - 10.1177/1069072709354367

DO - 10.1177/1069072709354367

M3 - Article

VL - 18

SP - 115

EP - 132

JO - Journal of Career Assessment

JF - Journal of Career Assessment

SN - 1069-0727

IS - 2

ER -