Differentiation Of Identity Fusion And Identification With Family, Friends, Country And Organization
Abstract
According to the body function regulation model approach to identity, we suggest to differentiate at least five different variants of identity formation: emotional commitment, simple identification, concealed identification, identity fusion, cognitive and affective processing. They reflect different forms of subjective control underlying the feelings of belonging or possessing regarding social groups. Our empirical study concentrates on the structural and functional differentiation of two variants – identification and identity fusion regarding four social groups (family, friends, country and organization) in two samples of adults (N1=282 and N2=100). The methods include the Russian versions of the Identity Fusion and Identification Scales, the Utrecht-Management of Identity Commitments Scale, the Subjective Happiness Scale, the Satisfaction with Life Scale, the Positive and Negative Feelings Scale as well as the modification of the “Who am I” method with the quantitative appraisal of valence, salience and the social approval of identifications. According to the results, factor analysis supports the structural differences between identity fusion and identification for all four social objects with almost no gender and age effects. For all four groups, identification and identity fusion are independent predictors of identity commitment and in-depth exploration as well as negative feelings about possible identity change. For the large groups, such as country and organizations, they independently relate to a lower reconsideration of commitment. While for the small groups (like family and friends), the reconsideration is associated with fusion only. The data also suggest that the emotional component of well-being is closer related to identity fusion (happiness, positive, negative emotions).
Keywords: Identity fusionidentificationthe body function regulation model approach to identitysocial identitythree-factor dimensional identity model
Introduction
Contemporary identity psychology tends to consider identity formation in terms of a number of different processes and multiple motives underlying these processes (Vignoles et al., 2006). Self-categorization theory suggests processes of self-categorization and self-improvement to be a basis for identification with a group (Turner & Reinolds, 2010, Hogg & Reid, 2006), while self-verification theory (Swann, 1983, Swann et al., 2009) formulates the idea of identity fusion as another variant of identification developing on the basis of self-verification. Comparing with identification, in identity fusion, personal and social identities do not repress each other; moreover, the actualization of one of them leads to the immediate actualization of another one. W. Swann considers identity fusion as an explanation of extreme actions for the group that would be hardly possible, if everybody tries to behave like the group prototype. Empirical studies of identification with the country support structural and partially functional differences (for instance, the different relationship to the readiness for extreme behavior for the group) between identification and identity fusion (Gomez et al., 2011).
Another approach comes from developmental psychology dividing different identity statuses (Marcia, 2002) and later identity processes (Luyckx et al, 2006, Luyckx et al, 2007), characterizing how synthesized or diffused identity is, and what is a person concentrated on the further development of this identity. The three-factor dimensional identity model suggests three processes. Commitment is an indicator of identity, certainty and consolidation. The in-depth exploration reflects the personal activity in thinking and searching for more information on the way to better commitment. Reconsideration of commitment describes the uncertainty in the identity and the process of looking for a better social object for identification.
Problem Statement
Different approaches to identity processes make it difficult to compare (both theoretically and empirically) different variants of identification. To our mind, one possible model that could be used as a basis for differentiation of the identity formation processes is the body function regulation model (Tkhostov, 2002). According to this model, as a person localizes the borders of his or her body there where he or she has no control over it, the person perceives a wide range of objects including social groups as “I am this”, if he or she experiences some kind of control. The theory distinguishes three forms of control: manageability (events start and take place according to the will of a person), controllability (the course of events depends on the actions of a person) and predictability (a person can predict further developments). All the forms of control could be more or less realistic or illusory, and based on more or less deep cognitive and affective processes. These differences lead to various forms of identity formation. The review of the relevant literature allows to differentiate at least five those forms: emotional commitment, simple identification, concealed identification, identity fusion and cognitive and affective processing.
Based on the body function regulation model, we expect that there are structural and functional differences in identification and identity fusion that would be similar across different social objects (for small informal and big formal groups).
Research Questions
From the theoretical point of view, this study has been devoted to the question whether there are different forms of identity formation that could be distinguished from each other due to different relationships to the group, readiness for some actions and general well-being. Empirically, we have chosen two variants discussed earlier (Swann et al., 2009) – identification and identity fusion – and four different social groups (family and friends as the examples of small groups with informal relationships, and country and organization as the examples of big groups when typically people don’t know all the members).
Purpose of the Study
The aim was to prove structural and functional differences (different relationships with other identity aspects and well-being) between identity fusion and identification with small informal (family and friends) and large formal social groups (country and organization).
Research Methods
Two different samples were used in the study.
Sample 1
The participants filled the Russian versions of three identity-related scales for two social groups: family and country.
Identity Fusion Scale (Gomez et al., 2011) included 7 items describing the feeling of unity and strength due to the group.
As additional indicators of identification with the family and country, we used the
As described in Table
To appraise general personal relationship to his/her various identification, a
Sample 2.
The participants filled the Russian versions of
The data were processed in the SPSS Statistics 22.0.
Findings
The structural differentiation of identification and identity fusion: the results of factor analysis
Exploratory factor analyses (with Varimax rotation) fulfilled separately for each of the four social groups (table
The only gender difference for identification with family and country indicates that the females are more ready to change the country in comparison with the males (t=-2.10, df=275, p<.05, Cohen’s d=.26). Identity fusion regarding to friends is higher in the males (t=-2.02, df=95, p<.05, Cohen’s d=.47), while the readiness to change friends was higher in the females (t=2.26, df=95, p<.05, Cohen’s d=.43).
The younger adults more often reconsider their country (r=-.30, p<.01), try to know more about friends (r=-.21, p<.05) and are less frequently fused with the country (r=-.24, p<.01) and friends (r=-.32, p<.01) in comparison with the older adults.
Taken together with the good consistency of the scales, these results support the hypothesis that there are two different dimensions of identification: one that is better described as fusion, and another one that is closer to classical identification. However, obviously high correlation between identification and fusion (in our data r=.59 for family, r=.67 for country, r=.58 for friends, r=.75 for organization) does not allow to fix any functional differences between identification and fusion. To decrease this problem, the analyses below are performed using factor scores of identification and identity fusion instead of item sums or means.
Functional differentiation of identification and identity fusion: relationships with other measures of identification and general well-being
The functional independence of identification and identity fusion is supported by correlational analyses: for all the four social groups, identity fusion and identification are independent predictors of commitment, in-depth exploration related to these groups as well as negative feelings about possibility to change the group for another one (tables
Conclusion
Factor analyses support the structural differences between identity fusion and identification; moreover, these differences are demonstrated on two samples using four social objects (Henson, 2006). Age and gender are not predictive of identity fusion and identification across the group: we have found only the weak effect of age for country fusion and medium effect of gender for fusion with friends.
As a further support for functional independence of identification and identity fusion, they are independent predictors of identity commitment and in-depth exploration as well as negative feelings about a possible identity change. For large groups, such as country and organizations, they are independently related to lower reconsideration of commitment, while for small groups, (like family and friends) reconsideration is associated with fusion only. The data also suggest that the emotional component of well-being is closer related to identity fusion (happiness and positive and negative emotions), while satisfaction with the group correlates with both fusion and identification.
Acknowledgments
The present research was supported by the Russian Foundation for Fundamental Research, project 17-06-00849 «Motivational and cognitive-affective factors of identity formation»/
References
- Crocetti, E., Schwartz, S.J., Fermani, A., Meeus, W. (2010). The Utrecht-Management of Identity Commitments Scale (U-MICS). Italian validation and cross-national comparisons. European Journal of Psychological Assessment, 26(3), 172-186.
- Diener E., Emmons R. A., Larsen R. J. & Griffin S. (1985). The Satisfaction With Life Scale. Journal of Personality Assessment, 49, 71–75.
- Diener, E., Wirtz, D., Tov, W., Kim-Prieto, C., Choi, D., Oishi, S. & Bisqas-Diener, R. (2010). New well-being measures: short scales to assess flourishing and positive and negative feelings. Social Indicators Research, 97, 143-156.
- Gomez, A., Brooks, M.L., Buhrmester, M.D., Vazquez, A., Jetten, J. & Swann, W.B. (2011). On the nature of identity fusion: insights into the construct and a new measure. Journal of Personality and Social Psychology, 100(5), 918-933.
- Hogg, M.A., Reid, S.A. (2006). Social identity, self-categorization and the communication of group norms. Communication Theory, 16, 7-30.
- Kuhn, M. H. (1960). Self-Attitudes by Age, Sex and Professional Training. Sociological Quarterly, 1, 39-56.
- Luyckx, K., Goossens, L., & Soenens, B. (2006). A developmental contextual perspective on identity construction in emerging adulthood: Change dynamics in commitment formation and commitment evaluation. Developmental Psychology, 42, 366–380.
- Luyckx, K., Soenens, B., Goossens, L., Vansteenkiste, M. (2007). Parenting, identity formation and colledge adjustment: a mediation model with longitudinal data. Identity: An International Journal of Theory and Research, 7(4), 309-330.
- Lyubomirsky S., Lepper H. (1999). A measure of subjective happiness: Preliminary reliability and construct validation. Social Indicators Research, 46, 137–155.
- Mael F. A., Ashforth B. E. (1992). Alumni and their alma mater: A partial test of the reformulated model of organizational identification. Journal of Organizational Behavior, 13, 103–123. doi:10.1002/job.4030130202.
- Marcia, J. E. (2002). Identity and psychosocial development in adulthood. Identity: An international journal of theory and research, 2(1), 7-28.
- Swann, W. B. (1983). Self-verification: Bringing social reality into harmony with the self. / In J. Suls & A. G. Greenwald (Eds.). Psychological perspectives on the self (Vol. 2, pp. 33–66). Hillsdale, NJ: Erlbaum.
- Swann, W.B., Gomez, A., Seyle, D.C., Morales, J.F., Huici, C. (2009). Identity fusion: the interplay of personal and social identities in extreme group behavior. Journal of Personality and Social Psychology, 96(5), 995-1011.
- Tkhostov, A.Sh. (2002). Psychology of body functions regulation. Moscow: Smysl. (In Russian).
- Tkhostov, A.Sh., Rasskazova, E., Emelin, V.A. (2014). Psychodiagnostics of the subjective perception of identifications: a modified version of the “Who-am-I” method. National Psychological Journal, 2(14), 60-71. (In Russian).
- Turner, J.C., Reynolds, K.J. (2010). The Story of Social Identity. / In: Postmes, T. and Branscombe, N. (Eds.). Rediscovering Social Identity (pp. 13-32). New York: Psychology Press,.
- Vignoles, V.L., Regalia, C., Manzi, C. Colledge, J., Scebini, E. (2006). Beyond Self-Esteem: Influence of Multiple Motives on Identity Construction. Journal of Personality and Social Psychology, 90(2), 308-333.
Copyright information
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
About this article
Publication Date
23 November 2018
Article Doi
eBook ISBN
978-1-80296-048-8
Publisher
Future Academy
Volume
49
Print ISBN (optional)
-
Edition Number
1st Edition
Pages
1-840
Subjects
Educational psychology, child psychology, developmental psychology, cognitive psychology
Cite this article as:
Tkhostov, A., Rasskazova, E., & Emelin, V. (2018). Differentiation Of Identity Fusion And Identification With Family, Friends, Country And Organization. In S. Malykh, & E. Nikulchev (Eds.), Psychology and Education - ICPE 2018, vol 49. European Proceedings of Social and Behavioural Sciences (pp. 679-686). Future Academy. https://doi.org/10.15405/epsbs.2018.11.02.79