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        <identifier>oai:www.ideals.illinois.edu:2142/121430</identifier>
        <datestamp>2023-12-13</datestamp>
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        <thesis xmlns="http://www.ndltd.org/standards/metadata/etdms/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.ndltd.org/standards/metadata/etdms/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdms11.xsd http://purl.org/dc/elements/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdmsdc.xsd">
          <dc:contributor>Rounds, James</dc:contributor>
          <dc:date>2023-08</dc:date>
          <dc:format>application/pdf</dc:format>
          <dc:language>en</dc:language>
          <dc:type>text</dc:type>
          <dc:description>Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms</dc:description>
          <dc:description>The student, Diana Lesmes Palacios, accepted the attached license on 2023-06-23 at 13:56.</dc:description>
          <dc:description>The student, Diana Lesmes Palacios, submitted this Thesis for approval on 2023-06-23 at 14:02.</dc:description>
          <dc:description>This Thesis was approved for publication on 2023-06-26 at 11:10.</dc:description>
          <dc:description>DSpace SAF Submission Ingestion Package generated from Vireo submission #19455 on 2023-12-04 at 17:00:10</dc:description>
          <dc:title>Initial validation of the pictorial interest profiler (PIP)</dc:title>
          <dc:creator>Lesmes Palacios, Diana Esperanza</dc:creator>
          <dc:date>2023-06-26</dc:date>
          <dc:subject>Riasec Interest Model</dc:subject>
          <dc:subject>Vocational Interest</dc:subject>
          <dc:subject>Pictorial Interest Profiler (pip)</dc:subject>
          <dc:subject>Interest Profiler (ip)</dc:subject>
          <dc:subject>Emoji Scale</dc:subject>
          <dc:subject>Limited English Proficiency (lep)</dc:subject>
          <dc:description>This article presents the initial validation evidence of the Pictorial Interest Profiler (PIP), a pictorial version of the Occupational Information Network (O*NET) Interest Profiler (IP; Rounds et al., 2021. The PIP was developed with the goal of making interest measures more accessible to U.S. individuals with limited English proficiency (LEP). It is a self-assessment based on the RIASEC interest model (Holland, 1997). The PIP uses a 5-point emoji scale for respondents to indicate their level of interest in 10 work-related activities for each RIASEC type. The PIP items consist of black and white drawings with stick figures representing the characters, and no titles or descriptions are included. To evaluate the psychometric properties of the PIP, responses were collected from 306 university students in the Mideast region of the U.S. The PIP showed high internal consistency reliability (α ̅ =.89), significant convergent validity with the IP RIASEC scores (r ̅ = .89) and high-point codes (hit rate = 70%) and expected low discriminant validity correlations with remaining IP scales (r ̅ = .31). The PIP represents a promising approach to measuring vocational interests among individuals with LEP and other language-diverse populations. Further research is needed to evaluate the PIP’s fit to the RIASEC circular model and to develop drawings that better represent the Enterprising and Conventional types.</dc:description>
          <dc:type>Text</dc:type>
          <dc:language>eng</dc:language>
          <dc:identifier>https://hdl.handle.net/2142/121430</dc:identifier>
          <dc:rights>Copyright 2023 Diana Lesmes Palacios</dc:rights>
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            <name>M.S.</name>
            <level>Thesis</level>
            <discipline>Educational Psychology</discipline>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <department>Educational Psychology</department>
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