Hostname: page-component-8448b6f56d-tj2md Total loading time: 0 Render date: 2024-04-23T10:13:30.769Z Has data issue: false hasContentIssue false
  • English
  • Français

Big Five Personality Trait Short Questionnaire: Preliminary Validation with Spanish Adults

Published online by Cambridge University Press:  09 February 2017

Generós Ortet ,
Tania Martínez ,
Laura Mezquita ,
Julien Morizot  and
Manuel I. Ibáñez
Generós Ortet*
Affiliation:
Universitat Jaume I (Spain)
Tania Martínez
Affiliation:
Universitat Jaume I (Spain)
Laura Mezquita
Affiliation:
Universitat Jaume I (Spain)
Julien Morizot
Affiliation:
University of Montreal (Canada)
Manuel I. Ibáñez
Affiliation:
Universitat Jaume I (Spain)
*
*Correspondence concerning this article should be addressed to Generós Ortet. Department of Basic and Clinical Psychology and Psychobiology. Universitat Jaume I. 12071. Castelló (Spain). Phone: +34–964729687. Fax: +34–964729267. E-mail: ortet@uji.es
Get access Rights & Permissions [Opens in a new window]

Abstract

There are two major advantages of the Big Five Personality Trait Short Questionnaire (BFPTSQ) over other non-commercial short Five-Factor Model personality measures: widen conceptual breadth, and its use in both adolescents and adults. The aim of this study was to explore the psychometric properties of this questionnaire in an adult Spanish sample. Factor, convergent (using the NEO-PI-R), and criterion (using scales that assess happiness and alcohol consumption) validities, internal consistency as well as test-retest reliabilities of the BFPTSQ were evaluated. The sample was composed of 262 participants; a subsample of 71 individuals also answered the NEO-PI-R, and another subsample of 42 respondents filled the BFPTSQ out again a month later. The results indicated that the expected factor structure was recovered using exploratory structural equation modeling (ESEM). The ESEM showed satisfactory fit indices, with CFI and TLI around .90, as well as RMSEA and SRMR below .06. Moreover, coefficient alphas ranged from .75 to .85 and test-retest correlations ranged from .72 to .93 (p < .001). Regarding the associations of BFPTSQ with NEO-PI-R scales, the correlations with the broad-trait scales ranged from .57 to .80 (p < .001), and 27 out of 30 correlations with the facet scales were significant (p < .05 or lower). We also found that extraversion and emotional stability were associated with subjective well-being (p < .001), and extraversion and conscientiousness were related to alcohol consumption (p < .01). This study supports the construct validity of the Spanish version of the BFPTSQ in adults.

Keywords

BFPTSQfive-factor modelpsychometric propertiesshort questionnaireSpanish version
Type
Research Article
Information
The Spanish Journal of Psychology , Volume 20 , 2017 , E7
Copyright
Copyright © Universidad Complutense de Madrid and Colegio Oficial de Psicólogos de Madrid 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

This research was funded, in part, by Grants PSI2015–67766-R from the Spanish Ministerio de Economía y Competitividad and GV/2016/158 from the Generalitat Valenciana.

References

Barbaranelli, C., Caprara, G. V., Rabasca, A., & Pastorelli, C. (2003). A questionnaire for measuring the Big Five in late childhood. Personality and Individual Differences, 34, 645–664. https://doi.org/10.1016/S0191-8869(02)00051-X Google Scholar
Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107, 238–246. https://doi.org/10.1037/0033-2909.107.2.238 Google Scholar
Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling, 14, 464–504. https://doi.org/10.1080/10705510701301834 CrossRefGoogle Scholar
Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9, 233–255. https://doi.org/10.1207/S15328007SEM0902_5 Google Scholar
Cohen, J. (1992). A power primer. Psychological Bulletin, 112, 155–159. https://doi.org/10.1037/0033-2909.112.1.155 Google Scholar
Costa, P. T., & McCrae, R. R. (1992). Revised NEO Personality Inventory (NEO-PI-R) and NEO Five-Factor Inventory (NEO-FFI) professional manual. Odessa, FL: Psychological Assessment Resources.Google Scholar
Costa, P. T., & McCrae, R. R. (1999). Inventario de Personalidad NEO Revisado (NEO PI-R) e Inventario NEO Reducido de Cinco Factores (NEO-FFI). Manual profesional. [Revised NEO Personality Inventory (NEO-PI-R) and NEO Five-Factor Inventory (NEO-FFI). Professional manual]. Madrid, Spain: TEA.Google Scholar
Donnellan, M. B., Oswald, F. L., Baird, B. M., & Lucas, R. E. (2006). The Mini-IPIP Scales: Tiny-yet-effective measures of the Big Five factors of personality. Psychological Assessment, 18, 192–203. https://doi.org/10.1037/1040-3590.18.2.192 Google Scholar
Gale, C. R., Booth, T., Mõttus, R., Kuh, D., & Deary, I. J. (2013). Neuroticism and Extraversion in youth predict mental wellbeing and life satisfaction 40 years later. Personality and Individual Differences, 47, 687–697. https://doi.org/10.1016/j.jrp.2013.06.005 Google ScholarPubMed
Gosling, S. D., Rentfrow, P. J., & Swann, W. B Jr. (2003). A very brief measure of the Big-Five personality domains. Journal of Research in Personality, 37, 504–528. https://doi.org/10.1016/S0092-6566(03)00046-1 Google Scholar
Ibáñez, M. I., Camacho, L., Mezquita, L., Villa, H., Moya-Higueras, J., & Ortet, G. (2015). Alcohol expectancies mediate and moderate the associations between Big Five personality traits and adolescent alcohol consumption and alcohol-related problems. Frontiers in Psychology, 6, 1838. https://doi.org/10.3389/fpsyg.2015.01838 Google Scholar
Jackson, J. J., Connolly, J. J., Garrison, S. M., Leveille, M. M., & Connolly, S. L. (2015). Your friends know how long you will live: A 75-year study of peer-rated personality traits. Psychological Science, 26, 335–340. https://doi.org/10.1177/0956797614561800 Google Scholar
John, O., Donahue, E., & Kentle, R. (1991). The “Big Five” inventory-versions 4a and 54 (Tech. Rep., Institute of Personality Assessment and Research). Berkeley, CA: University of California, Berkeley.Google Scholar
John, O. P., Neumann, L. P., & Soto, C. J. (2008). Paradigm shift to the integrative Big-Five trait taxonomy: History, measurement, and conceptual issues. In John, O. P., Robins, R. W., & Pervin, L. A. (Eds.), Handbook of personality: Theory and research (3rd Ed., pp. 114–158). New York, NY: Guilford.Google Scholar
Kotov, R., Gamez, W., Schmidt, F., & Watson, D. (2010). Linking ‘‘Big’’ personality traits to anxiety, depressive, and substance use disorders: A meta-analysis. Psychological Bulletin, 136, 768–821.CrossRefGoogle ScholarPubMed
Kuncel, N. R., Ones, D. S., & Sackett, P. R. (2010). Individual difference as predictors of work, educational, and broad life outcomes. Personality and Individual Differences, 49, 331–336. https://doi.org/10.1016/j.paid.2010.03.042 Google Scholar
Lyubomirsky, S., & Lepper, H. S. (1999). A measure of subjective happiness: Preliminary reliability and construct validation. Social Indicators Research, 46, 137–155.Google Scholar
MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1, 130–149. https://doi.org/10.1037/1082-989X.1.2.130 Google Scholar
Malouff, J. M., Thorsteinsson, E. B., Rooke, S. E., & Schutte, N. S. (2007). Alcohol involvement and the Five-Factor Model of personality: A meta-analysis. Journal of Drug Education, 37, 277–294. https://doi.org/10.2190/DE.37.3.d CrossRefGoogle ScholarPubMed
Marsh, H. W., Hau, K. T., Balla, J. R., & Grayson, D. (1998). Is more ever too much: The number of indictors per factor in confirmatory factor analysis. Multivariate Behavioral Research, 33, 181–220. https://doi.org/10.1207/s15327906mbr3302_1 CrossRefGoogle Scholar
Marsh, H. W., Hau, K. T., & Wen, Z. (2004). In search of golden rules: Comment on hypothesis testing approaches to setting cutoff values for fit indices and dangers in overgeneralizing Hu & Bentler’s (1999) findings. Structural Equation Modeling, 11, 320–341. https://doi.org/10.1207/s15328007sem1103_2 Google Scholar
Marsh, H. W., Lüdtke, O., Muthén, B., Asparouhov, T., Morin, A. J. S., Trautwein, U., & Nagengast, B. (2010). A new look at the Big-Five factor structure through exploratory structural equation modeling. Psychological Assessment, 22, 471–491. https://doi.org/10.1037/a0019227 Google Scholar
McCrae, R. R., & Costa, P. T Jr. (2007). Brief versions of the NEO-PI-3. Journal of Individual Differences, 28, 116–128. https://doi.org/10.1027/1614-0001.28.3.116 Google Scholar
McCrae, R. R., & Costa, P. T Jr. (2010). NEO Inventories for the NEO Personality Inventory-3 (NEO-PI-3), NEO Five-Factor Inventory-3 (NEO-FFI-3), NEO Personality Inventory-Revised (NEO-PI-R): Professional manual. Lutz, FL: Psychological Assessment Resources.Google Scholar
Messick, S. (1995). Validity of psychological assessment: Validation of inferences from persons’ responses and performances as scientific inquiry into score meaning. American Psychologist, 50, 741–749. https://doi.org/10.1037/0003-066X.50.9.741 Google Scholar
Mezquita, L., Ibáñez, M. I., Moya, J., Villa, H., & Ortet, G. (2014). A longitudinal examination of different etiological pathways to alcohol use and misuse. Alcoholism: Clinical and Experimental Research, 38, 1770–1779. https://doi.org/10.1111/acer.12419 CrossRefGoogle ScholarPubMed
Morizot, J. (2014). Construct validity of adolescents’ self-reported Big Five personality traits: Importance of conceptual breadth and initial validation of a short measure. Assessment, 21, 580–606. https://doi.org/10.1177/1073191114524015 Google Scholar
Ortet, G., Escrivá, P., Ibáñez, M. I., Moya, J., Villa, H., Mezquita, L., & Ruipérez, M. A. (2010). Versión corta de la adaptación española para adolescentes del NEO-PI-R (JS NEO-S) [Short form of the Junior Spanish version of the NEO-PI-R (JS NEO-S)]. International Journal of Clinical and Health Psychology, 10, 327–344.Google Scholar
Ortet, G., Ibáñez, M. I., Moya, J., Villa, H., Viruela, A., & Mezquita, L. (2012). Assessing the five factors of personality in adolescents: The Junior version of the Spanish NEO-PI-R. Assessment, 19, 114–130. https://doi.org/10.1177/1073191111410166 CrossRefGoogle ScholarPubMed
Pavot, W., & Diener, E. (2011). Personality and happiness. In Chamorro-Premuzic, T., von Stumm, S., & Furnham, A. (Eds.), The Wiley-Blackwell handbook of individual differences (pp. 699–717). Chichester, UK: Wiley- Blackwell.Google Scholar
Preacher, K. J., & MacCallum, R. C. (2003). Repairing Tom Swift’s electric factor analysis machine. Understanding Statistics, 2, 13–43. https://doi.org/10.1207/S15328031US0201_02 Google Scholar
Roberts, B. W., Kuncel, N. R., Shiner, R., Caspi, A., & Goldberg, R. L. (2007). The power of personality: The comparative validity of personality traits, socio-economic status, and cognitive ability for predicting important life outcomes. Perspectives in Psychological Science, 2, 313–345. https://doi.org/10.1111/j.1745-6916.2007.00047.x Google Scholar
Satorra, A. (2000). Scaled and adjusted restricted tests in multisample analysis of moment structures. In Heijmans, R. D. H., Pollock, D. S. G., & Satorra, A. (Eds.), Innovations in multivariate statistical analysis: A Festschrift for Heinz Neudecker (pp. 233–247). London, UK: Kluwer.Google Scholar
Saucier, G. (2002). Orthogonal markers for orthogonal factors: The case of the Big Five. Journal of Research in Personality, 36, 1–31. https://doi.org/10.1006/jrpe.2001.2335 Google Scholar
Schmitt, P., Realo, A., Voracek, M., & Allik, J. (2008). Why can’t a man be more like a woman? Sex differences in Big Five personality traits across 55 cultures. Journal of Personality and Social Psychology, 94, 168–182.Google Scholar
Simms, L. J., & Watson, D. (2007). The construct validation approach to personality scale construction. In Robins, R. W., Fraley, R. C., & Krueger, R. F. (Eds.), Handbook of research methods in personality psychology (pp. 240–258). New York, NY: Guilford.Google Scholar
Smith, G. T., Fischer, S., & Fister, S. M. (2003). Incremental validity principles in test construction. Psychological Assessment, 15, 467–477. https://doi.org/10.1037/1040-3590.15.4.467 CrossRefGoogle ScholarPubMed
Schmitt, P., Realo, A., Voracek, M., & Allik, J. (2008). Why can’t a man be more like a woman? Sex differences in Big Five personality traits across 55 cultures. Journal of Personality and Social Psychology, 94, 168–182.Google Scholar
Steel, P., Schmidt, J., & Shultz, J. (2008 ). Refining the relationship between personality and subjective well-being. Psychological Bulletin, 134, 138–161. https://doi.org/10.1037/0033-2909.134.1.138 Google Scholar
van den Akker, A. L., Deković, M., Asscher, J., & Prinze, P. (2014). Mean-level personality development across childhood and adolescence: A temporary defiance of the maturity principle and bidirectional associations with parenting. Journal of Personality and Social Psychology, 107, 736–750. https://doi.org/10.1037/a0037248 Google Scholar
West, S. G., Taylor, A. B., & Wu, W. (2012). Model fit and model selection in structural equation modeling. In Hoyle, R. H. (Ed.), Handbook of structural equation modeling (pp. 209–231). New York, NY: Guilford.Google Scholar
Widiger, T. A. (2015). Assessment of DSM-5 personality disorder. Journal of Personality Assessment, 97, 456–466. https://doi.org/10.1080/00223891.2015.1041142 Google Scholar