Individual differences in predicting occupational success: The effect of population heterogeneity
Using a sample of 339 university graduates from the University of Alicante (Spain) three years after completion of their studies, we studied the relationships between general intelligence (GI), personality traits, emotional intelligence (EI), academic performance, and occupational attainment and com...
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| Veröffentlicht in: | Revista de Psicología del Trabajo y de las Organizaciones 2015-08, Vol.31 (2), p.101-107 |
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| creator | Gilar, Raquel de Haro, Jose Manuel Castejon, Juan Luis |
| description | Using a sample of 339 university graduates from the University of Alicante (Spain) three years after completion of their studies, we studied the relationships between general intelligence (GI), personality traits, emotional intelligence (EI), academic performance, and occupational attainment and compared the results of conventional regression analysis with the results obtained from applying regression mixture models. The results reveal the influence of unobserved population heterogeneity (latent class) on the relationship between predictors and criteria and the improvement in the prediction obtained from applying regression mixture models compared to applying a conventional regression model.
Mediante una muestra de 339 graduados universitarios de la Universidad de Alicante, España, tres años después de acabar los estudios, hemos estudiado la relación entre inteligencia general (IG), rasgos de personalidad, inteligencia emocional (IE), rendimiento académico y consecución de empleo, comparando los resultados del análisis de regresión tradicional con los resultados obtenidos aplicando los modelos mixtos de regresión. Los resultados muestran la influencia de una heterogeneidad poblacional no observada (clase latente) en la relación entre predictores y criterios y la mejoría en la predicción a partir de la aplicación de los modelos mixtos de regresión en comparación con la aplicación del modelo convencional de regresión. |
| doi_str_mv | 10.1016/j.rpto.2015.03.002 |
| format | Article |
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Mediante una muestra de 339 graduados universitarios de la Universidad de Alicante, España, tres años después de acabar los estudios, hemos estudiado la relación entre inteligencia general (IG), rasgos de personalidad, inteligencia emocional (IE), rendimiento académico y consecución de empleo, comparando los resultados del análisis de regresión tradicional con los resultados obtenidos aplicando los modelos mixtos de regresión. Los resultados muestran la influencia de una heterogeneidad poblacional no observada (clase latente) en la relación entre predictores y criterios y la mejoría en la predicción a partir de la aplicación de los modelos mixtos de regresión en comparación con la aplicación del modelo convencional de regresión.</description><identifier>ISSN: 1576-5962</identifier><identifier>ISSN: 2174-0534</identifier><identifier>EISSN: 2174-0534</identifier><identifier>DOI: 10.1016/j.rpto.2015.03.002</identifier><language>eng</language><publisher>Madrid: Elsevier España</publisher><subject>Academic achievement ; Clase latente ; Consecución de empleo ; Education ; Emotional intelligence ; Employment ; Hypotheses ; Intelligence ; Latent class ; Licenses ; Logistic regression mixture models ; Modelos mixtos de regresión logística ; Occupational attainment ; Occupational psychology ; Occupations ; Personality ; Personality traits ; Population ; Psychology ; Public, Environmental & Occupational Health ; Questionnaires ; Regression analysis ; Success ; University graduates ; Variables</subject><ispartof>Revista de Psicología del Trabajo y de las Organizaciones, 2015-08, Vol.31 (2), p.101-107</ispartof><rights>2014 Colegio Oficial de Psicólogos de Madrid</rights><rights>Copyright Revista de Psicología del Trabajo y de las Organizaciones Aug 2015</rights><rights>2015. This work is licensed under https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es_ES (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 International License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c439t-56140a7b0ba0ae685326e351e2c516d93828c1d79508cf73f2ccc0e0878e12813</citedby><cites>FETCH-LOGICAL-c439t-56140a7b0ba0ae685326e351e2c516d93828c1d79508cf73f2ccc0e0878e12813</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,860,881,27901,27902</link.rule.ids></links><search><creatorcontrib>Gilar, Raquel</creatorcontrib><creatorcontrib>de Haro, Jose Manuel</creatorcontrib><creatorcontrib>Castejon, Juan Luis</creatorcontrib><title>Individual differences in predicting occupational success: The effect of population heterogeneity</title><title>Revista de Psicología del Trabajo y de las Organizaciones</title><addtitle>Rev. psicol. trab. organ</addtitle><description>Using a sample of 339 university graduates from the University of Alicante (Spain) three years after completion of their studies, we studied the relationships between general intelligence (GI), personality traits, emotional intelligence (EI), academic performance, and occupational attainment and compared the results of conventional regression analysis with the results obtained from applying regression mixture models. The results reveal the influence of unobserved population heterogeneity (latent class) on the relationship between predictors and criteria and the improvement in the prediction obtained from applying regression mixture models compared to applying a conventional regression model.
Mediante una muestra de 339 graduados universitarios de la Universidad de Alicante, España, tres años después de acabar los estudios, hemos estudiado la relación entre inteligencia general (IG), rasgos de personalidad, inteligencia emocional (IE), rendimiento académico y consecución de empleo, comparando los resultados del análisis de regresión tradicional con los resultados obtenidos aplicando los modelos mixtos de regresión. Los resultados muestran la influencia de una heterogeneidad poblacional no observada (clase latente) en la relación entre predictores y criterios y la mejoría en la predicción a partir de la aplicación de los modelos mixtos de regresión en comparación con la aplicación del modelo convencional de regresión.</description><subject>Academic achievement</subject><subject>Clase latente</subject><subject>Consecución de empleo</subject><subject>Education</subject><subject>Emotional intelligence</subject><subject>Employment</subject><subject>Hypotheses</subject><subject>Intelligence</subject><subject>Latent class</subject><subject>Licenses</subject><subject>Logistic regression mixture models</subject><subject>Modelos mixtos de regresión logística</subject><subject>Occupational attainment</subject><subject>Occupational psychology</subject><subject>Occupations</subject><subject>Personality</subject><subject>Personality traits</subject><subject>Population</subject><subject>Psychology</subject><subject>Public, Environmental & Occupational Health</subject><subject>Questionnaires</subject><subject>Regression analysis</subject><subject>Success</subject><subject>University graduates</subject><subject>Variables</subject><issn>1576-5962</issn><issn>2174-0534</issn><issn>2174-0534</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kU1LxDAQhoMouK7-AU8Bz62TpEla8SKLHwuCB9dz6KbT3SxrU5NW8N-buoI3DyGX5xneeYeQSwY5A6aud3noB59zYDIHkQPwIzLjTBcZSFEckxmTWmWyUvyUnMW4A1BaCDkj9bJr3KdrxnpPG9e2GLCzGKnraB-wcXZw3YZ6a8e-HpzvEhZHm4h4Q1dbpJgUO1Df0t734_6HoVscMPgNduiGr3Ny0tb7iBe__5y8PdyvFk_Z88vjcnH3nNlCVEMmFSug1mtY11CjKqXgCoVkyK1kqqlEyUvLGl1JKG2rRcuttYBQ6hIZL5mYk_wwN1qHe292fgwpbjSv0-5m2n2qB1I36aVa5uTqIPTBf4wYhz-FFyWThYTqX4qpShdcV6pIFD9QNvgYA7amD-69Dl-GgZkuZHZmupCZIhgQJqVI0u1BwlTLp8Ngpuip_saFVKppvPtP_wa8oZck</recordid><startdate>20150801</startdate><enddate>20150801</enddate><creator>Gilar, Raquel</creator><creator>de Haro, Jose Manuel</creator><creator>Castejon, Juan Luis</creator><general>Elsevier España</general><general>Revista de Psicología del Trabajo y de las Organizaciones</general><general>Colegio Oficial de Psicólogos de Madrid</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88J</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>CLZPN</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HEHIP</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>L.0</scope><scope>M0C</scope><scope>M2R</scope><scope>M2S</scope><scope>PIMPY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>PYYUZ</scope><scope>Q9U</scope><scope>GPN</scope></search><sort><creationdate>20150801</creationdate><title>Individual differences in predicting occupational success: The effect of population heterogeneity</title><author>Gilar, Raquel ; 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Mediante una muestra de 339 graduados universitarios de la Universidad de Alicante, España, tres años después de acabar los estudios, hemos estudiado la relación entre inteligencia general (IG), rasgos de personalidad, inteligencia emocional (IE), rendimiento académico y consecución de empleo, comparando los resultados del análisis de regresión tradicional con los resultados obtenidos aplicando los modelos mixtos de regresión. Los resultados muestran la influencia de una heterogeneidad poblacional no observada (clase latente) en la relación entre predictores y criterios y la mejoría en la predicción a partir de la aplicación de los modelos mixtos de regresión en comparación con la aplicación del modelo convencional de regresión.</abstract><cop>Madrid</cop><pub>Elsevier España</pub><doi>10.1016/j.rpto.2015.03.002</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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| source | DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
| subjects | Academic achievement Clase latente Consecución de empleo Education Emotional intelligence Employment Hypotheses Intelligence Latent class Licenses Logistic regression mixture models Modelos mixtos de regresión logística Occupational attainment Occupational psychology Occupations Personality Personality traits Population Psychology Public, Environmental & Occupational Health Questionnaires Regression analysis Success University graduates Variables |
| title | Individual differences in predicting occupational success: The effect of population heterogeneity |
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