Skip to main content Accessibility help
×
Hostname: page-component-76fb5796d-45l2p Total loading time: 0 Render date: 2024-04-27T14:45:10.778Z Has data issue: false hasContentIssue false

18 - Synthesized or Confused Field? A Critical Analysis of the State-of-the-Art in Identity Status Research Methods

from Part III - Methodological Approaches

Published online by Cambridge University Press:  29 October 2021

Michael Bamberg
Affiliation:
Clark University, Massachusetts
Carolin Demuth
Affiliation:
Aalborg University, Denmark
Meike Watzlawik
Affiliation:
Sigmund Freud University, Berlin
Get access

Summary

In this chapter, we critically discuss contemporary approaches to infer identity statuses. We will focus on how identity statuses can be delineated through a person-centered approach (e.g., cluster analysis and latent class/profile analysis [LCA/LPA]). These methods can depict how multiple variables are configured within persons, capturing identity statuses as indicated by questionnaire data. We detail the theoretical rationale for deriving identity statuses using a person’s scores on identity processes. We focus on how these approaches integrate classic identity status research with more novel identity process research. We critically discuss the differences in the way that statuses are derived with structured interviews compared to questionnaires, debating what each of the approaches contributes. We also highlight how a person-centered approach for deriving identity status clusters can provide additional insights to identity status models. Next, we detail these procedures using concrete examples for cluster analysis and LCAs/LPAs. In this, we explain how identity status clusters were derived at the person-level, using participants’ scores on identity processes. For both techniques, we focus on a step-by-step description of how we depicted the identity statuses, also comparing the results of cluster analysis and LCA/LPA on the same dataset. Additionally, we present requirements, general concerns regarding person-centered approaches, and specific concerns for each technique. Last, we present limitations of this approach and detail directions for future research. We ground this discussion on the results of recent studies that depicted identity statuses through cluster-analytic procedures in different cultural in order to analyze differences and points of convergence.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2021

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.)

References

Adams, G. (1999). The Objective Measure of Ego Identity Status: A Manual on Theory and Test Construction. Guelph, ON: Department of Family Relations and Applied Nutrition, University of Guelph.Google Scholar
Almeida, J. A. S., Barbosa, L. M. S., Pais, A. A. C. C., & Formosinho, S. J. (2007). Improving hierarchical cluster analysis: A new method with outlier detection and automatic clustering. Chemometrics and Intelligent Laboratory Systems, 87, 208217.Google Scholar
Arnett, J. (2014). Emerging Adulthood. The Winding Road from the Late Teens through the Twenties. New York, NY: Oxford University Press.CrossRefGoogle Scholar
Asparouhov, T. & Muthén, B. (2012). Using Mplus TECH11 and TECH14 to test the number of latent classes. Mplus Web notes: no. 14. Retrieved May 05, 2021, from www.statmodel.com/examples/webnotes/webnote14.pdf.Google Scholar
Bakk, Z., Tekle, F. B., & Vermunt, J. K. (2013). Estimating the association between latent class membership and external variables using bias-adjusted three-step approaches. Sociological Methodology, 43, 273311.Google Scholar
Balistreri, E., Busch-Rossnagel, N. A., & Geisinger, K. F. (1995). Development and preliminary validation of the Ego Identity Process Questionnaire. Journal of Adolescence, 18, 179192.Google Scholar
Carlsson, J. (2015). Evolving identities: Contents and processes of identity development among people in their late twenties. Doctoral Dissertation, University of Gothenburg.Google Scholar
Carlsson, J., Wängqvist, M., & Frisén, A. (2016). Life on hold: Staying in identity diffusion in the late twenties. Journal of Adolescence, 47, 220229.Google Scholar
Cobb, C. L., Meca, A., Branscombe, N. R., Schwartz, S. J., Xie, D., Zea, M. C., … & Sanders, G. L. (2019). Perceived discrimination and well-being among unauthorized Hispanic immigrants: The moderating role of ethnic/racial group identity centrality. Cultural Diversity and Ethnic Minority Psychology, 25, 280287.Google Scholar
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences, 2nd Ed. Hillsdale, NJ: Erlbaum.Google Scholar
Crocetti, E. (2017). Identity formation in adolescence: The dynamic of forming and consolidating identity commitments. Child Development Perspectives, 11(2), 145150.Google Scholar
Crocetti, E., Cieciuch, J., Gao, C-H, Klimstra, T., Lin, C.-L., Matos, P. M, Morsünbül, Ü., Negru, O., Sugimura, K., Zimmermann, G., & Meeus, W. (2015). National and gender measurement invariance of the Utrecht Management of Identity Commitments Scale (U-MICS): A ten-nation study with university students. Assessment, 22, 753768.Google Scholar
Crocetti, E. & Meeus, W. (2015). The identity statuses: Strengths of a person-centered approach. In McLean, K. C., & Syed, M. (Eds.), The Oxford Handbook of Identity Development (pp. 97114). New York, NY: Oxford University Press.Google Scholar
Crocetti, E., Rubini, M., Luyckx, K., & Meeus, W. (2008). Identity formation in early and middle adolescents from various ethnic groups: From three dimensions to five statuses. Journal of Youth and Adolescence, 37, 983996.Google Scholar
Crocetti, E., Scrignaro, M., Sica, L. S., & Magrin, M. E. (2012). Correlates of identity configurations: Three studies with adolescent and emerging adult cohorts. Journal of Youth and Adolescence, 41, 732748.Google Scholar
Diriwächter, R., Valsiner, J., & Sauck, C. (2005). Microgenesis in making sense of oneself: Constructive recycling of personality inventory items. Forum: Qualitative Social Research, 6, article 11.Google Scholar
Erikson, E. H. (1968). Identity: Youth and Crisis. New York, NY: Norton.Google Scholar
Gore, P. A. Jr. (2000). Cluster analysis. In Tinsley, H. E. A., & Brown, S. D. (Eds.), Handbook of Applied Multivariate Statistics and Mathematical Modeling (pp. 297321). San Diego, CA: Academic Press.CrossRefGoogle Scholar
Grotevant, H. D. (1987). Toward a process model of identity formation. Journal of Adolescent Research, 2(3), 203222.Google Scholar
Grotevant, H. D. & Adams, G. R. (1984). Development of an objective measure to assess ego identity in adolescence: Validation and replication. Journal of Youth and Adolescence, 13, 419438.Google Scholar
Hadiwijaya, H., Klimstra, T. A., Vermunt, J. K., Branje, S., & Meeus, W. (2015). Parent–adolescent relationships: An adjusted person-centered approach. European Journal of Developmental Psychology, 12, 728739.Google Scholar
Kass, R. E. & Raftery, A. E. (1995). Bayes factors. Journal of the American Statistical Association, 90, 773795.Google Scholar
Kaufman, L. & Rousseeuw, P. J. (1990). Finding Groups in Data: An Introduction to Cluster Analysis. New York, NY: John Wiley.CrossRefGoogle Scholar
Kim, M. G. (2000). Multivariate outliers and decompositions of Mahalanobis distance. Communications in Statistics: Theory and Methods, 29, 15111526.Google Scholar
Kroger, J., Martinussen, M., & Marcia, J. E. (2010). Identity status change during adolescence and young adulthood: A meta-analysis. Journal of Adolescence, 33, 683698.CrossRefGoogle Scholar
Kuhn, M. & McPartland, T. S. (1954). An empirical investigation of self-attitudes. American Sociological Review, 19, 6876.Google Scholar
Lubke, G. H. (2010). Latent variable mixture modeling. In Hancock, G. R. & Mueller, R. O. (Eds.), The Reviewer’s Guide to Quantitative Methods in the Social Sciences (pp. 209220). New York, NY: Routledge.Google Scholar
Luyckx, K., Goossens, L., Soenens, B., & Beyers, W. (2006). Unpacking commitment and exploration: Preliminary validation of an integrative model of adolescent identity formation. Journal of Adolescence, 29, 361378.Google Scholar
Luyckx, K., Klimstra, T. A., Schwartz, S. J., & Duriez, B. (2013). Personal identity in college and the work context: Developmental trajectories and psychosocial functioning. European Journal of Personality, 27, 222237.Google Scholar
Luyckx, K., Schwartz, S. J., Berzonsky, M. D., Soenens, B., Vansteenkiste, M., Smits, I., & Goossens, L. (2008). Capturing ruminative exploration: Extending the four-dimensional model of identity formation in late adolescence. Journal of Research in Personality, 42, 5882.Google Scholar
Magidson, J. & Vermunt, J. (2002). Latent class models for clustering: A comparison with k-means. Canadian Journal of Marketing Research, 20, 3643.Google Scholar
Marcia, J. E. (1966). Development and validation of ego-identity status. Journal of Personality and Social Psychology, 3, 551558.Google Scholar
Marcia, J. E. (1993). The ego identity status approach to ego identity. In Marcia, J. E., Waterman, A. S., Matteson, D. R., Archer, S. L., & Orlofsky, J. L. (Eds.), Ego Identity: A Handbook for Psychosocial Research (pp. 321). New York, NY: Springer-Verlag.Google Scholar
Marcia, J. E. (2006). Ego identity and personality disorders. Journal of Personality Disorders, 20, 577596.Google Scholar
Marcia, J. E. & Archer, S. L. (1993). Identity status in late adolescents: Scoring criteria. In Marcia, J. E., Waterman, A. S., Matteson, D. R., Archer, S. L., & Orlofsky, J. L. (Eds.), Ego Identity: A Handbook for Psychosocial Research (pp. 205240). New York, NY: Springer-Verlag.Google Scholar
Masyn, K. E. (2013). Latent class analysis and finite mixture modeling. In Little, T. D. (Ed.), The Oxford Handbook of Quantitative Methods in Psychology: Vol. 2: Statistical Analysis (pp. 551611). Oxford: Oxford University Press.Google Scholar
Meens, E. E. M., Bakx, A. W. E. A., Klimstra, T. A., & Denissen, J. J. A. (2018). The association of identity and motivation with students’ achievement in higher education. Learning and Individual Differences, 64, 5470.Google Scholar
Meeus, W. (2011). The study of adolescent identity formation 2000–2010: A review of longitudinal research. Journal of Research on Adolescence, 21(1), 7594.Google Scholar
Meeus, W., Iedema, J., Helsen, M., & Vollebergh, W. (1999). Patterns of adolescent identity development: Review of literature and longitudinal analysis. Developmental Review, 19, 419461.Google Scholar
Meeus, W., Van De Schoot, R., Keijsers, L., Schwartz, S. J., & Branje, S. (2010). On the progression and stability of adolescent identity formation: A five‐wave longitudinal study in early‐to‐middle and middle‐to‐late adolescence. Child Development, 81, 15651581.Google Scholar
Milligan, G. W. & Cooper, M. C. (1985). An examination of procedures for determining the number of clusters in a data set. Psychometrika, 50, 159179.Google Scholar
Morsünbül, Ü., Crocetti, E., Cok, F., & Meeus, W. (2016). Identity statuses and psychosocial functioning in Turkish youth: A person-centered approach. Journal of Adolescence, 47, 145155.Google Scholar
Muthén, B. O. & Muthén, L. K. (2000). Integrating person-centered and variable-centered analyses: Growth mixture modeling with latent trajectory classes. Alcoholism: Clinical and Experimental Research, 24, 882891.Google Scholar
Muthén, L. K. & Muthén, B. O. (2017). Mplus User’s Guide, 8th Ed. Los Angeles, CA: Muthén & Muthén.Google Scholar
Nagin, D. S. (1999). Analyzing developmental trajectories: A semi-parametric group-based approach. Psychological Methods, 4, 139157.Google Scholar
Negru-Subtirica, O., Pop, E. I., & Crocetti, E. (2018). Good omens? The intricate relations between educational and vocational identity in adolescence. European Journal of Developmental Psychology, 15, 8398.Google Scholar
Negru-Subtirica, O., Pop, E. I., Luyckx, K., Dezutter, J., & Steger, M. F. (2016). The meaningful identity: A longitudinal look at the interplay between identity and meaning in life in adolescence. Developmental Psychology, 52, 19261936.Google Scholar
Negru‐Subtirica, O., Tiganasu, A., Dezutter, J., & Luyckx, K. (2017). A cultural take on the links between religiosity, identity, and meaning in life in religious emerging adults. British Journal of Developmental Psychology, 35, 106126.Google Scholar
Penny, K. I. (1996). Appropriate critical values when testing for a single multivariate outlier by using the Mahalanobis distance. Applied Statistics: Journal of the Royal Statistical Society Series C, 45, 7381.Google Scholar
Reinecke, J. (2006). Longitudinal analysis of adolescent’s deviant and delinquent behavior. Methodology, 2, 100112.Google Scholar
Rupp, A. A. (2013). Clustering and classification. In Little, T. D. (Ed.), The Oxford Handbook of Quantitative Methods in Psychology: Vol. 2: Statistical Analysis (pp. 517550). Oxford: Oxford University Press.Google Scholar
Scholte, R. H. J., van Lieshout, C. F. M., de Wit, C. A. M., & van Aken, M. A. G. (2005). Adolescent personality types and subtypes and their psychosocial adjustment. Merrill-Palmer Quarterly, 51, 258286.Google Scholar
Schwartz, S. J., Beyers, W., Luyckx, K., Soenens, B., Zamboanga, B. L., Forthun, L. F., … & Whitbourne, S. K. (2011). Examining the light and dark sides of emerging adults’ identity: A study of identity status differences in positive and negative psychosocial functioning. Journal of Youth and Adolescence, 40, 839859.CrossRefGoogle ScholarPubMed
Sestito, L. A., Sica, L. S., Ragozini, G., Porfeli, E., Weisblat, G., & Di Palma, T. (2015). Vocational and overall identity: A person-centered approach in Italian university students. Journal of Vocational Behavior, 91, 157169.Google Scholar
Skhirtladze, N., Javakhishvili, N., Schwartz, S. J., Beyers, W., & Luyckx, K. (2016). Identity processes and statuses in post-Soviet Georgia: Exploration processes operate differently. Journal of Adolescence, 47, 197209.Google Scholar
Steinley, D. & Brusco, M. J. (2007). Initializing K-means batch clustering: A critical evaluation of several techniques. Journal of Classification, 24, 99121.Google Scholar
Vermunt, J. K. & Magidson, J. (2013). Latent GOLD 5.0 Upgrade Manual. Belmont, MA: Statistical Innovations.Google Scholar
Verschueren, M., Luyckx, K., Kaufman, E. A., Vansteenkiste, M., Moons, , … & Claes, L. (2017). Identity processes and statuses in patients with and without eating disorders. European Eating Disorders Review, 25, 2635.Google Scholar
Von Eye, A., Bogat, G. A., & Rhodes, J. E. (2006). Variable-oriented and person-oriented perspectives of analysis: The example of alcohol consumption in adolescence. Journal of Adolescence, 29, 9811004.Google Scholar
Waterman, A. S. (2015). What does it mean to engage in identity exploration and to hold identity commitments? A methodological critique of multidimensional measures for the study of identity processes. Identity: An International Journal of Theory and Research, 15, 309349.Google Scholar
Zimmermann, G., Lannegrand-Willems, L., Safont-Mottay, C., & Cannard, C. (2015). Testing new identity models and processes in French-speaking adolescents and emerging adults students. Journal of Youth and Adolescence, 44, 127141.Google Scholar
Zimmermann, G., Mantzouranis, G., & Biermann, E. (2010). Ego identity in adolescence: Preliminary validation of a French short-form of the EIPQ. Revue Européenne de Psychologie Appliquée/European Review of Applied Psychology, 60, 173180.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×