Do the offline and social media Big Five have the same dimensional structure, mean levels, and predictive validity of social media outcomes?

Abstract

Prior studies found that the Big Five personality traits are significant predictors of social media outcomes, but they did not specify the situational context of the Big Five. The assumption is that people have the same personality on social media as offline. The present research addressed whether the Big Five are the same on social media as offline in terms of dimensional structure, mean levels, and predictive validity of social media outcomes. Across two samples, 943 college students completed measures of social media outcomes and two versions of the Big Five Inventory-2 adapted from Soto and John (2017), specifying offline and social media contexts. Findings revealed that all of the five dimensions emerged in both contexts, except that a few items might not apply well to the social media context. The mean levels of all five traits were significantly different between contexts, suggesting that the dimensional structure of the offline and social media Big Five are similar but peoples’ levels of expression of the Big Five are not the same between these contexts. Conscientiousness and extraversion were the least similar dimensions out of the five between the contexts. There were also differences in predictive validity between the offline and social media Big Five showing that heavier social media users are more open, conscientious, and extraverted on social media, whereas they are lower on these traits offline. Consequently, studying offline and social media contexts separately and jointly is critical for understanding how the Big Five predict social media outcomes.

Bibliographic citation

Bunker, C. J., & Kwan, V. S. (2021). Do the offline and social media Big Five have the same dimensional structure, mean levels, and predictive validity of social media outcomes?. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 15(4), Article 8. doi:https://doi.org/10.5817/CP2021-4-8

Keywords

Big Five; personality; social media; social networking sites; situational context

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* References marked with an asterisk are cited in the supplemental materials.

Alhabash, S., & Ma, M. (2017). A tale of four platforms: Motivations and uses of Facebook, Twitter, Instagram, and Snapchat among college students? Social Media + Society, 3(1). https://doi.org/10.1177/2056305117691544

Allport, G. W., & Odbert, H. S. (1936). Trait names: A psycholexical study. Psychological Monographs, 47(1), i–171. https://doi.org/10.1037/h0093360

Baccarella, C. V., Wagner, T. F., Kietzmann, J. H., & McCarthy, I. P. (2018). Social media? It's serious! Understanding the dark side of social media. European Management Journal, 36(4), 431–438. https://doi.org/10.1016/j.emj.2018.07.002

Bakshy, E., Messing, S., & Adamic, L. A. (2015). Exposure to ideologically diverse news and opinion on Facebook. Science, 348(6239), 1130–1132. https://doi.org/10.1126/science.aaa1160

Bayer, J. B., Triệu, P., & Ellison, N. B. (2020). Social media elements, ecologies, and effects. Annual Review of Psychology, 71, 471–497. https://doi.org/10.1146/annurev-psych-010419-050944

Behm-Morawitz, E. (2013). Mirrored selves: The influence of self-presence in a virtual world on health, appearance, and well-being. Computers in Human Behavior, 29(1), 119–128. https://doi.org/10.1016/j.chb.2012.07.023

Bem, D. J., & Funder, D. C. (1978). Predicting more of the people more of the time: Assessing the personality of situations. Psychological Review, 85(6), 485–501. https://doi.org/10.1037/0033-295X.85.6.485

Blumer, T., & Döring, N. (2012). Are we the same online? The expression of the five factor personality traits on the computer and the Internet. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 6(3), Article 5. https://doi.org/10.5817/CP2012-3-5

* Borkenau, P., & Ostendorf, F. (1990). Comparing exploratory and confirmatory factor analysis: A study on the 5-factor model of personality. Personality and Individual Differences, 11, 515–524. https://doi.org/10.1016/0191-8869(90)90065-Y

Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136–162). Sage.

Bunker, C. J., Saysavanh, S. E., & Kwan, V. S. (2021). Are gender differences in the Big Five the same on social media as offline? Computers in Human Behavior Reports, 3, Article 100085. https://doi.org/10.1016/j.chbr.2021.100085

Chae, J. (2017). Virtual makeover: Selfie-taking and social media use increase selfie-editing frequency through social comparison. Computers in Human Behavior, 66, 370–376. https://doi.org/10.1016/j.chb.2016.10.007

Chaffey, D. (2020). Global social media research summary, 2020. Smart Insights. https://www.smartinsights.com/social-media-marketing/social-media-strategy/new-global-social-media-research/

Chen, S. X., & Bond, M. H. (2010). Two languages, two personalities? Examining language effects on the expression of personality in a bilingual context. Personality and Social Psychology Bulletin, 36(11), 1514–1528. https://doi.org/10.1177/0146167210385360

Cheng, C., Wang, H.-y., Sigerson, L., & Chau, C.-l. (2019). Do the socially rich get richer? A nuanced perspective on social network site use and online social capital accrual. Psychological Bulletin, 145(7), 734–764. https://doi.org/10.1037/bul0000198

* Church, A. T., & Burke, P. J. (1994). Exploratory and confirmatory tests of the Big Five and Tellegen’s three- and 4-dimensional models. Journal of Personality and Social Psychology, 66, 93–114. https://doi.org/10.1037/0022-3514.66.1.93

* Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9(2), 233–255. https://doi.org/10.1207/S15328007SEM0902_5

Connelly, B. S., & Ones, D. S. (2010). An other perspective on personality: Meta-analytic integration of observers' accuracy and predictive validity. Psychological Bulletin, 136(6), 1092–1122. https://doi.org/10.1037/a0021212

Conover, M. D., Gonçalves, B., Flammini, A., & Menczer, F. (2012). Partisan asymmetries in online political activity. EPJ Data Science, 1(1), Article 6. https://doi.org/10.1140/epjds6

Costa, P. T., Jr., & McCrae, R. R. (1992a). Four ways five factors are basic. Personality and Individual Differences, 13(6), 653–665. https://doi.org/10.1016/0191-8869(92)90236-I

Costa, P. T., Jr., & McCrae, R. R. (1992b). Revised NEO personality inventory (NEO-PI-R) and NEO five-factor inventory (NEO-FFI) professional manual. Psychological Assessment Resources.

Del Vicario, M., Vivaldo, G., Bessi, A., Zollo, F., Scala, A., Caldarelli, G., & Quattrociocchi, W. (2016). Echo chambers: Emotional contagion and group polarization on Facebook. Scientific Reports, 6, Article 37825. https://doi.org/10.1038/srep37825

* DeYoung, C. G. (2006). Higher-order factors of the Big Five in a multi-informant sample. Journal of Personality and Social Psychology, 91(6), 1138–1151. https://doi.org/10.1037/0022-3514.91.6.1138

* DeYoung, C. G. (2015). Cybernetic big five theory. Journal of Research in Personality, 56, 33–58. https://doi.org/10.1016/j.jrp.2014.07.004

Digman, J. M. (1990). Personality structure: Emergence of the five-factor model. Annual Review of Psychology, 41(1), 417–440. https://doi.org/10.1146/annurev.ps.41.020190.0022

* Digman, J. M. (1997). Higher-order factors of the Big Five. Journal of Personality and Social Psychology, 73(6), 12461256. https://doi.org/10.1037/0022-3514.73.6.1246

Edwards, M. C., & Wirth, R. J. (2012). Valid measurement without factorial invariance: A longitudinal example. In J. R. Harring & G. R. Hancock (Eds.), Advances in longitudinal methods in the social and behavioral sciences (pp. 289–311). Information Age Publishing.

Ellison, N. B., Steinfield, C., & Lampe, C. (2007). The benefits of Facebook “friends:” Social capital and college students’ use of online social network sites. Journal of Computer-Mediated Communication, 12(4), 1143–1168. https://doi.org/10.1111/j.1083-6101.2007.00367.x

Flaxman, S., Goel, S., & Rao, J. M. (2016). Filter bubbles, echo chambers, and online news consumption. Public Opinion Quarterly, 80(S1), 298–320. https://doi.org/10.1093/poq/nfw006

Goldberg, L. R. (1990). An alternative "description of personality": The Big-Five factor structure. Journal of Personality and Social Psychology, 59(6), 1216–1229. https://doi.org/10.1037/0022-3514.59.6.1216

Gosling, S. D., Augustine, A. A., Vazire, S., Holtzman, N., & Gaddis, S. (2011). Manifestations of personality in online social networks: Self-reported Facebook-related behaviors and observable profile information. Cyberpsychology, Behavior, and Social Networking, 14(9), 483–488. https://doi.org/10.1089/cyber.2010.0087

Hollenbaugh, E. E., & Ferris, A. L. (2014). Facebook self-disclosure: Examining the role of traits, social cohesion, and motives. Computers in Human Behavior, 30, 50–58. https://doi.org/10.1016/j.chb.2013.07.055

Holtrop, D., Born, M. P., de Vries, A., & de Vries, R. E. (2014). A matter of context: A comparison of two types of contextualized personality measures. Personality and Individual Differences, 68, 234–240. https://doi.org/10.1016/j.paid.2014.04.029

Holtz, B. C., Ployhart, R. E., & Dominguez, A. (2005). Testing the rules of justice: The effects of frame‐of‐reference and pre‐test validity information on personality test responses and test perceptions. International Journal of Selection and Assessment, 13(1), 75–86. https://doi.org/10.1111/j.0965-075X.2005.00301.x

Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118

Hu, X., Kim, A., Siwek, N., & Wilder, D. (2017). The Facebook paradox: Effects of Facebooking on individuals’ social relationships and psychological well-being. Frontiers in Psychology, 8, Article 87. https://doi.org/10.3389/fpsyg.2017.00087

Huang, C. (2019). Social network site use and Big Five personality traits: A meta-analysis. Computers in Human Behavior, 97, 280–290. https://doi.org/10.1016/j.chb.2019.03.009

Huang, G. C., Unger, J. B., Soto, D., Fujimoto, K., Pentz, M. A., Jordan-Marsh, M., & Valente, T. W. (2014). Peer influences: The impact of online and offline friendship networks on adolescent smoking and alcohol use. Journal of Adolescent Health, 54(5), 508–514. https://doi.org/10.1016/j.jadohealth.2013.07.001

John, O. P., Naumann, L. P., & Soto, C. J. (2008). Paradigm shift to the integrative Big Five trait taxonomy. In O. P. John, R. W. Robins, & L. A. Pervin (Eds.), Handbook of personality: Theory and research (3rd ed., pp. 114–158). Guilford Press.

Johnson, J. A. (2014). Measuring thirty facets of the Five Factor Model with a 120-item public domain inventory: Development of the IPIPNEO-120. Journal of Research in Personality, 51, 78–89. https://doi.org/10.1016/j.jrp.2014.05.003

Kenrick, D. T., & Funder, D. C. (1988). Profiting from controversy: Lessons from the person-situation debate. American Psychologist, 43(1), 23–34. https://doi.org/10.1037/0003-066X.43.1.23

Kircaburun, K., Alhabash, S., Tosuntaş, Ş. B., & Griffiths, M. D. (2020). Uses and gratifications of problematic social media use among university students: A simultaneous examination of the Big Five of personality traits, social media platforms, and social media use motives. International Journal of Mental Health and Addiction, 18(3), 525–547. https://doi.org/10.1007/s11469-018-9940-6

Kircaburun, K., & Griffiths, M. D. (2018). Instagram addiction and the Big Five of personality: The mediating role of self-liking. Journal of Behavioral Addictions, 7(1), 158–170. https://doi.org/10.1556/2006.7.2018.15

Kokkinos, C. M., & Antoniadou, N. (2019). Cyber-bullying and cyber-victimization among undergraduate student teachers through the lens of the General Aggression Model. Computers in Human Behavior, 98, 59–68. https://doi.org/10.1016/j.chb.2019.04.007

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(5), 768–821. https://doi.org/10.1037/a0020327

Kwan, V. S. Y., & Bodford, J. E. (2015). The psychology of cyberlife engagement. In R. A. Scott & S. M. Kosslyn (Eds.) Emerging trends in the social and behavioral sciences. Wiley Publications.

Lee, J.-E. R., Moore, D. C., Park, E.-A., & Park, S. G. (2012). Who wants to be “friend-rich”? Social compensatory friending on Facebook and the moderating role of public self-consciousness. Computers in Human Behavior, 28(3), 1036–1043. https://doi.org/10.1016/j.chb.2012.01.006

Lin, J.-S., Lee, Y.-I., Jin, Y., & Gilbreath, B. (2017). Personality traits, motivations, and emotional consequences of social media usage. Cyberpsychology, Behavior, and Social Networking, 20(10), 615–623.

Liu, D., & Brown, B. B. (2014). Self-disclosure on social networking sites, positive feedback, and social capital among Chinese college students. Computers in Human Behavior, 38, 213–219. https://doi.org/10.1016/j.chb.2014.06.003

Liu, D., & Campbell, W. K. (2017). The Big Five personality traits, Big Two metatraits and social media: A meta-analysis. Journal of Research in Personality, 70, 229–240. https://doi.org/10.1016/j.jrp.2017.08.004

Lorenzo-Seva, U., & Ten Berge, J. M. (2006). Tucker's congruence coefficient as a meaningful index of factor similarity. Methodology, 2(2), 57–64. https://doi.org/10.1027/1614-2241.2.2.57

Lundy, B. L., & Drouin, M. (2016). From social anxiety to interpersonal connectedness: Relationship building within face-to-face, phone and instant messaging mediums. Computers in Human Behavior, 54, 271–277. https://doi.org/10.1016/j.chb.2015.08.004

* Marsh, H. W., Lüdtke, O., Muthén, B., Asparouhov, T., Morin, A. J., Trautwein, U., & Nagengast, B. (2010). A new look at the big five factor structure through exploratory structural equation modeling. Psychological Assessment, 22(3), 471–491. https://doi.org/10.1037/a0019227

McFarland, L. A., & Ployhart, R. E. (2015). Social media: A contextual framework to guide research and practice. Journal of Applied Psychology, 100(6), 1653–1677. https://doi.org/10.1037/a0039244

* McCrae, R. R., Zonderman, A. B., Costa, P. T., Jr., Bond, M. H., & Paunonen, S. (1996). Evaluating the replicability of factors in the Revised NEO Personality Inventory: Confirmatory factor analysis versus procrustes rotation. Journal of Personality and Social Psychology, 70, 552–566. https://doi.org/10.1037/0022-3514.70.3.552

Meier, A., Reinecke, L., & Meltzer, C. E. (2016). “Facebocrastination”? Predictors of using Facebook for procrastination and its effects on students’ well-being. Computers in Human Behavior, 64, 65–76. https://doi.org/10.1016/j.chb.2016.06.011

Mischel, W. (1968). Personality and assessment. Wiley.

Mischel, W., & Shoda, Y. (1995). A cognitive affective system theory of personality: Reconceptualizing situations, dispositions, dynamics, and invariance in personality structure. Psychological Review, 102(2), 246–268. https://doi.org/10.1037/0033-295X.102.2.246

* Musek, J. (2007). A general factor of personality: Evidence for the Big One in the five-factor model. Journal of Research in Personality, 41(6), 1213–1233. https://doi.org/10.1016/j.jrp.2007.02.003

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw Hill.

Olaru, G., Witthöft, M., & Wilhelm, O. (2015). Methods matter: Testing competing models for designing short-scale Big-Five assessments. Journal of Research in Personality, 59, 56–68. https://doi.org/10.1016/j.jrp.2015.09.001

* Parker, J. D. A., Bagby, R. M., & Summerfeldt, L. J. (1993). Confirmatory factor analysis of the Revised Neo-Personality Inventory. Personality and Individual Differences, 15, 463–466.

Paulhus, D. L., & Vazire, S. (2007). The self-report method. In R. W. Robins, R. C. Fraley, & R. F. Krueger (Eds.), Handbook of research methods in personality (pp. 224–239). Guilford Press.

Pawlikowski, M., Altstötter-Gleich, C., & Brand, M. (2013). Validation and psychometric properties of a short version of Young’s Internet Addiction Test. Computers in Human Behavior, 29(3), 1212–1223. https://doi.org/10.1016/j.chb.2012.10.014

Peluchette, J. V., Karl, K., Wood, C., & Williams, J. (2015). Cyberbullying victimization: Do victims’ personality and risky social network behaviors contribute to the problem? Computers in Human Behavior, 52, 424–435. https://doi.org/10.1016/j.chb.2015.06.028

Perrin, A. (2015). Social media usage: 2005–2015. Pew Research Center. https://www.pewresearch.org/internet/2015/10/08/social-networking-usage-2005-2015/

Poropat, A. E. (2009). A meta-analysis of the five-factor model of personality and academic performance. Psychological Bulletin, 135(2), 322–338. https://doi.org/10.1037/a0014996

Postmes, T., Spears, R., & Lea, M. (1998). Breaching or building social boundaries? SIDE-effects of computer-mediated communication. Communication Research, 25(6), 689–715. https://doi.org/10.1177/009365098025006006

Rains, S. A., & Keating, D. M. (2011). The social dimension of blogging about health: Health blogging, social support, and well-being. Communication Monographs, 78(4), 511–534. https://doi.org/10.1080/03637751.2011.618142

Reddock, C. M., Biderman, M. D., & Nguyen, N. T. (2011). The relationship of reliability and validity of personality tests to frame‐of‐reference instructions and within‐person inconsistency. International Journal of Selection and Assessment, 19(2), 119–131. https://doi.org/10.1111/j.1468-2389.2011.00540.x

Roberts, B. W., Lejuez, C., Krueger, R. F., Richards, J. M., & Hill, P. L. (2014). What is conscientiousness and how can it be assessed?. Developmental Psychology, 50(5), 1315–1330. https://doi.org/10.1037/a0031109

Robie, C., Risavy, S. D., Holtrop, D., & Born, M. P. (2017). Fully contextualized, frequency-based personality measurement: A replication and extension. Journal of Research in Personality, 70, 56–65. https://doi.org/10.1016/j.jrp.2017.05.005

Sbarra, D. A., Briskin, J. L., & Slatcher, R. B. (2019). Smartphones and close relationships: The case for an evolutionary mismatch. Perspectives on Psychological Science, 14(4), 596–618. https://doi.org/10.1177/1745691619826535

Scheier, M. F., & Carver, C. S. (1985). The Self‐Consciousness Scale: A revised version for use with general populations. Journal of Applied Social Psychology, 15(8), 687–699. https://doi.org/10.1111/j.1559-1816.1985.tb02268.x

Schmit, M. J., Ryan, A. M., Stierwalt, S. L., & Powell, A. B. (1995). Frame-of-reference effects on personality scale scores and criterion-related validity. Journal of Applied Psychology, 80(5), 607–620. https://doi.org/10.1037/0021-9010.80.5.607

Schulze, J., West, S. G., Freudenstein, J.-P., Schäpers, P., Mussel, P., Eid, M., & Krumm, S. (2021). Hidden framings and hidden asymmetries in the measurement of personality––A combined lens‐model and frame‐of‐reference perspective. Journal of Personality, 89(2), 357–375. https://doi.org/10.1111/jopy.12586

Seidman, G. (2013). Self-presentation and belonging on Facebook: How personality influences social media use and motivations. Personality and Individual Differences, 54(3), 402–407. https://doi.org/10.1016/j.paid.2012.10.009

Sheldon, K. M., Ryan, R. M., Rawsthorne, L. J., & Ilardi, B. (1997). Trait self and true self: Cross-role variation in the Big-Five personality traits and its relations with psychological authenticity and subjective well-being. Journal of Personality and Social Psychology, 73(6), 1380–1393. https://doi.org/10.1037/0022-3514.73.6.1380

Shim, M., Lee-Won, R. J., & Park, S. H. (2016). The self on the Net: The joint effect of self-construal and public self-consciousness on positive self-presentation in online social networking among South Korean college students. Computers in Human Behavior, 63, 530–539. https://doi.org/10.1016/j.chb.2016.05.054

Soto, C. J., & John, O. P. (2017). The next Big Five Inventory (BFI-2): Developing and assessing a hierarchical model with 15 facets to enhance bandwidth, fidelity, and predictive power. Journal of Personality and Social Psychology, 113(1), 117–143. https://doi.org/10.1037/pspp0000096

Soto, C. J., John, O. P., Gosling, S. D., & Potter, J. (2011). Age differences in personality traits from 10 to 65: Big Five domains and facets in a large cross-sectional sample. Journal of Personality and Social Psychology, 100(2), 330–348. https://doi.org/10.1037/a0021717

Stewart, R. W., Drescher, C. F., Maack, D. J., Ebesutani, C., & Young, J. (2014). The development and psychometric investigation of the Cyberbullying Scale. Journal of Interpersonal Violence, 29(12), 2218–2238. https://doi.org/10.1177/0886260513517552

Taber, L., & Whittaker, S. (2018, April). Personality depends on the medium: differences in self-perception on Snapchat, Facebook and offline. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (Paper No. 607). ACM. https://doi.org/10.1145/3173574.3174181

Taber, L., & Whittaker, S. (2020, April). “On Finsta, I can say ‘Hail Satan’”: Being authentic but disagreeable on Instagram. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1–14). ACM. https://doi.org/10.1145/3313831.3376182

Tang, J.-H., Chen, M.-C., Yang, C.-Y., Chung, T.-Y., & Lee, Y.-A. (2016). Personality traits, interpersonal relationships, online social support, and Facebook addiction. Telematics and Informatics, 33(1), 102–108. https://doi.org/10.1016/j.tele.2015.06.003

Teske, J. A. (2002). Cyberpsychology, human relationships, and our virtual interiors. Zygon, 37(3), 677–700. https://doi.org/10.1111/1467-9744.00445

Tifferet, S. (2019). Gender differences in privacy tendencies on social network sites: A meta-analysis. Computers in Human Behavior, 93, 1–12. https://doi.org/10.1016/j.chb.2018.11.046

Trapnell, P. D., & Campbell, J. D. (1999). Private self-consciousness and the five-factor model of personality: Distinguishing rumination from reflection. Journal of Personality and Social Psychology, 76(2), 284–304. https://doi.org/10.1037/0022-3514.76.2.284

Tsai, T.-H., Chang, H.-T., Chang, Y.-C., & Chang, Y.-S. (2017). Personality disclosure on social network sites: An empirical examination of differences in Facebook usage behavior, profile contents and privacy settings. Computers in Human Behavior, 76, 469–482. https://doi.org/10.1016/j.chb.2017.08.003

Tskhay, K. O., & Rule, N. O. (2014). Perceptions of personality in text-based media and OSN: A meta-analysis. Journal of Research in Personality, 49, 25–30. https://doi.org/10.1016/j.jrp.2013.12.004

* Van der Linden, D., te Nijenhuis, J., & Bakker, A. B. (2010). The general factor of personality: A meta-analysis of Big Five intercorrelations and a criterion-related validity study. Journal of Research in Personality, 44(3), 315–327. https://doi.org/10.1016/j.jrp.2010.03.003

* Vassend, O., & Skrondal, A. (1997). Validation of the NEO Personality Inventory and the five-factor model: Can findings from exploratory and confirmatory factor analysis be reconciled? European Journal of Personality, 11, 147–166. https://doi.org/10.1002/(SICI)1099-0984(199706)11:2<147::AID-PER278>3.0.CO;2-E

Xie, W., & Kang, C. (2015). See you, see me: Teenagers’ self-disclosure and regret of posting on social network site. Computers in Human Behavior, 52, 398–407. https://doi.org/10.1016/j.chb.2015.05.059

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