{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/110607"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/110607","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"What do interest inventories measure? The convergence and content validity of four RIASEC inventories","abstract":"Most interest inventories aim to measure the same core interest traits based on Holland’s (1997) RIASEC model. Despite the widespread use of RIASEC interest inventories, little is known about the extent to which these inventories actually measure the same core constructs and provide similar career recommendations to individuals. The current study investigates the convergent validity among four major interest inventories—the Self-Directed Search (SDS), the O*NET Interest Profiler (IP), the ACT Interest Inventory (UNIACT), and the Strong Interest Inventory (SII). Three methods were used to analyze different aspects of convergence: 1) correlated trait-correlated methods (CT-CM) model, 2) high-point code agreements, and 3) item content analysis. Results showed that, although RIASEC interest scores from the four inventories were highly correlated, the measures often gave respondents different high point codes that lead to divergent career recommendations. Moreover, item content analysis revealed that while the inventories measure some common basic interest dimensions, they also assess distinct peripheral basic interests. Integrating findings from these three unique perspectives, we put forth practical recommendations for constructing future interest inventories to increase convergence. We also discuss the importance of using multiple methods to investigate convergent validity, especially content analysis which provides foundational guidance for interpreting results from existing interest inventories.","abstract_html":"Most interest inventories aim to measure the same core interest traits based on Holland’s (1997) RIASEC model. Despite the widespread use of RIASEC interest inventories, little is known about the extent to which these inventories actually measure the same core constructs and provide similar career recommendations to individuals. The current study investigates the convergent validity among four major interest inventories—the Self-Directed Search (SDS), the O*NET Interest Profiler (IP), the ACT Interest Inventory (UNIACT), and the Strong Interest Inventory (SII). Three methods were used to analyze different aspects of convergence: 1) correlated trait-correlated methods (CT-CM) model, 2) high-point code agreements, and 3) item content analysis. Results showed that, although RIASEC interest scores from the four inventories were highly correlated, the measures often gave respondents different high point codes that lead to divergent career recommendations. Moreover, item content analysis revealed that while the inventories measure some common basic interest dimensions, they also assess distinct peripheral basic interests. Integrating findings from these three unique perspectives, we put forth practical recommendations for constructing future interest inventories to increase convergence. We also discuss the importance of using multiple methods to investigate convergent validity, especially content analysis which provides foundational guidance for interpreting results from existing interest inventories.","abstract_has_math":false,"creators":["Chu, Chu"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Psychology","degree_department":null,"school":null,"contributors":["Rounds, James"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2021,"date_issued":"2021-09-17T01:13:35Z","date_published":"2021-09-17T01:13:35Z","updated_at":"2026-07-22T22:24:52Z","subjects":["vocational interests","measurement","convergent validity","content validity"],"languages":["en"],"rights":["Copyright 2021 Chu Chu"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/110607","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Rounds, James"]},{"key":"dc:creator","label":"Author","values":["Chu, Chu"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2021-09-17T01:13:35Z","2021-04-30","2021-05"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Psychology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["vocational interests","measurement","convergent validity","content validity"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2021 Chu Chu"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/110607"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Most interest inventories aim to measure the same core interest traits based on Holland’s (1997) RIASEC model. Despite the widespread use of RIASEC interest inventories, little is known about the extent to which these inventories actually measure the same core constructs and provide similar career recommendations to individuals. The current study investigates the convergent validity among four major interest inventories—the Self-Directed Search (SDS), the O*NET Interest Profiler (IP), the ACT Interest Inventory (UNIACT), and the Strong Interest Inventory (SII). Three methods were used to analyze different aspects of convergence: 1) correlated trait-correlated methods (CT-CM) model, 2) high-point code agreements, and 3) item content analysis. Results showed that, although RIASEC interest scores from the four inventories were highly correlated, the measures often gave respondents different high point codes that lead to divergent career recommendations. Moreover, item content analysis revealed that while the inventories measure some common basic interest dimensions, they also assess distinct peripheral basic interests. Integrating findings from these three unique perspectives, we put forth practical recommendations for constructing future interest inventories to increase convergence. We also discuss the importance of using multiple methods to investigate convergent validity, especially content analysis which provides foundational guidance for interpreting results from existing interest inventories.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2021-09-16 without embargo terms","The student, Chu Chu, accepted the attached license on 2021-04-30 at 11:46.","The student, Chu Chu, submitted this Thesis for approval on 2021-04-30 at 11:59.","This Thesis was approved for publication on 2021-04-30 at 13:05.","DSpace SAF Submission Ingestion Package generated from Vireo submission #16625 on 2021-09-16 at 16:49:48","Made available in DSpace on 2021-09-17T01:13:35Z (GMT). No. of bitstreams: 2 CHU-THESIS-2021.pdf: 824475 bytes, checksum: de457f108dcae36c437741ca68b36e79 (MD5) LICENSE.txt: 4204 bytes, checksum: e570bab94f175e7382d4771823ced8de (MD5) Previous issue date: 2021-04-30"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["What do interest inventories measure? The convergence and content validity of four RIASEC inventories"]}]}],"canonical_facts":{"dc:contributor":["Rounds, James"],"dc:creator":["Chu, Chu"],"dc:date":["2021-09-17T01:13:35Z","2021-04-30","2021-05"],"dc:description":["Most interest inventories aim to measure the same core interest traits based on Holland’s (1997) RIASEC model. Despite the widespread use of RIASEC interest inventories, little is known about the extent to which these inventories actually measure the same core constructs and provide similar career recommendations to individuals. The current study investigates the convergent validity among four major interest inventories—the Self-Directed Search (SDS), the O*NET Interest Profiler (IP), the ACT Interest Inventory (UNIACT), and the Strong Interest Inventory (SII). Three methods were used to analyze different aspects of convergence: 1) correlated trait-correlated methods (CT-CM) model, 2) high-point code agreements, and 3) item content analysis. Results showed that, although RIASEC interest scores from the four inventories were highly correlated, the measures often gave respondents different high point codes that lead to divergent career recommendations. Moreover, item content analysis revealed that while the inventories measure some common basic interest dimensions, they also assess distinct peripheral basic interests. Integrating findings from these three unique perspectives, we put forth practical recommendations for constructing future interest inventories to increase convergence. We also discuss the importance of using multiple methods to investigate convergent validity, especially content analysis which provides foundational guidance for interpreting results from existing interest inventories.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2021-09-16 without embargo terms","The student, Chu Chu, accepted the attached license on 2021-04-30 at 11:46.","The student, Chu Chu, submitted this Thesis for approval on 2021-04-30 at 11:59.","This Thesis was approved for publication on 2021-04-30 at 13:05.","DSpace SAF Submission Ingestion Package generated from Vireo submission #16625 on 2021-09-16 at 16:49:48","Made available in DSpace on 2021-09-17T01:13:35Z (GMT). No. of bitstreams: 2 CHU-THESIS-2021.pdf: 824475 bytes, checksum: de457f108dcae36c437741ca68b36e79 (MD5) LICENSE.txt: 4204 bytes, checksum: e570bab94f175e7382d4771823ced8de (MD5) Previous issue date: 2021-04-30"],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/2142/110607"],"dc:language":["en"],"dc:rights":["Copyright 2021 Chu Chu"],"dc:subject":["vocational interests","measurement","convergent validity","content validity"],"dc:title":["What do interest inventories measure? The convergence and content validity of four RIASEC inventories"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Psychology"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:52Z"}