|
|
|||||||||||||||||||||||||||||||||||||||||||||||||
|
Aviram, I., and Amichai-Hamburger, Y. (2005). Online infidelity: Aspects of dyadic satisfaction, self-disclosure, and narcissism. Journal of Computer-Mediated Communication, 10(3), article 1. http://jcmc.indiana.edu/vol10/issue3/aviram.html
|
|||||||||||||||||||||||||||||||||||||||||||||||||
|
This study examined the hypothesis that the desire for an online infidelity act is formed on the basis of both personality-related factors and relationship-related factors, similarly to "real life" infidelity. Two hundred participants who maintain a relationship in "real life" were recruited through web advertisements, and filled in online questionnaires regarding their dyadic satisfaction (DAS-7), self-disclosure (JSDQ), narcissism (NPI), and their Internet relationship expectations (IRI). Results indicated that the predictors of Internet relationship expectations are the experience of having an Internet relationship, higher tendencies of manipulation and exhibitionism, lower self-disclosure and lower dyadic cohesion. However, dyadic and sexual satisfaction do not predict higher expectations of an Internet relationship, in contrast to real life relationships. These findings demonstrate the difference between online and "real life" infidelity and emphasize the need for further research on the link between personality dynamics and online infidelity. Additional theoretical and clinical implications deriving from the results are discussed.
The Internet started as a decentralized computer network for the United States Army for defense and security purposes (Gackenbach & Ellerman, 1998). Nowadays, in addition to serving as an important informational and commercial medium for organizations and individual users alike, the Internet has become a significant field for social interactions (Kraut, Patterson, Lundmark, Kiesler, Mukopadhyay, & Scherlis,1998). The growing number of users, conjointly with technological developments such as e-mail, chat, instant messaging, and video conferencing, has fostered the formation of a new category of interpersonal relationship, the online relationship (McKenna & Bargh, 2000).
Investigating the basis of online infidelity seems impossible without first inquiring into infidelity in "real life." In "real life," susceptibility to infidelity is linked to three groups of variables (Drigotas & Barta, 2001):
Based on what is known with respect to infidelity in "real life," we hypothesized that high expectations of online infidelity are based on both personality factors and factors related to the quality of the "real life" relationship.
Participants and Procedure
200 participants volunteered to partake in the research. Participants were recruited through Hebrew and English web advertisements, placed by the research team in popular Israeli and international newsgroups and message boards (e.g., Walla, Yahoo!, AOL). All participants indicated that they were involved in a "real life" relationship during the time of the study. The advertisements directed the participants to the research website where they were first asked to fill out a background questionnaire on a hypertext (http) platform. This recruitment procedure and the online questionnaires were applied according to McKenna and Bargh's (2000) recommendations for Internet-based research.
Measures After the participants completed the background questionnaire, they were requested to respond to the following questionnaires on a hypertext (http) platform: Dyadic Adjustment Scale (DAS-7) The DAS, developed by Spanier (1976), provides an assessment of dyadic satisfaction based on participants' self report. Its short version, validated by Hunsley, Best, Lefebvre, and Vito (2001), comprises seven questions and provides three subscales of the "real life" relationship: dyadic consensus, dyadic cohesion, and general satisfaction. In the three items of the dyadic consensus subscale, participants rated the degree to which they agree with their partner on several issues on six-point Likert scales with the end-point designations always agree (5) and always disagree (0). In the next three items of the dyadic cohesion subscale, participants indicated how often specific dyadic activities occur on six-point Likert scales with the end-point designations More than once a day (5) and Never (0). Finally, in the last item participants rated their general satisfaction with their "real life" relationship on a seven-point Likert scale with the end-point designations perfect (6) and extremely unhappy (0). A general satisfaction score was calculated as a sum of all seven items' scores. The internal consistency of the DAS in this study was found to be 0.81. Index of Sexual Satisfaction (ISS) The ISS, developed by Hudson, Harrison, and Crosscup (1981), comprises 25 items and evaluates participants' sexual satisfaction with their "real life" relationship. All items are statements describing the quality of the participant's sex life (e.g., I feel that my partner enjoys our sex life). Participants rated the degree to which they agreed with each item on seven-point Likert scales, with the end-points designated as All the time (7) and None of time (1). For each participant, a sexual satisfaction score was calculated as the sum of all items' scores. In this study, the ISS internal consistency was found to be 0.96. Jourard Self-disclosure Questionnaire (JSDQ) Constructed originally by Jourard (1971), this short version questionnaire comprises 12 items and assesses the degree to which a participant discloses intimate details to his or her partner. Items comprised statements that described self-disclosure of details concerning career, emotions, financial affairs, health, and personality traits. Participants rated how often in their relationship each statement applies on a four-point Likert scale with the end-point designations have talked in full and complete details about this (0) and have lied or misinterpret myself about this (3). For each participant a self-disclosure score was calculated. Internal consistency for the JSDQ was found to be 0.81 in this study. Narcissistic Personality Inventory (NPI) Revised by Raskin and Terry (1988), this questionnaire is comprised of 40 items and is used as a diagnostic measure for narcissistic personality disorder according to the DSM-IV. Participants rated the degree to which each item described themselves on five-point Likert scales, with the end points designated as very true (5) and not true (1). We conducted a principle component factor analysis with Varimax rotation, which identified four components: vanity and attention-seeking, authority and control, self-sufficiency, and manipulation and exhibitionism. Each participant was assigned scores for the four components of the questionnaire and a general narcissism score. Internal consistency was found to be 0.93. Internet Relationship Expectations Inventory (IRI) The IRI, constructed specifically for this study, assesses the expectations of an online relationship and was used as the Independent variable in our study. It is comprised of 20 statements describing positive effects of the Internet relationship regarding self-disclosure (e.g., sharing my deepest personal feeling and thoughts), sexual satisfaction (e.g., enjoying the sex techniques that an online partner uses) and general satisfaction (e.g., having a stimulating exchange of ideas with my online partner). All items are based on statements from the DAS, ISS, and JSDQ questionnaires adapted to the online relationship context. Participants rated every item on five-point Likert scales, with the end-points designated as very likely (5) and totally unlikely (1). Internal consistency for the ISS was 0.89. Social Desirability Questionnaire [M-C 2(10)] Developed by Crowne and Marlowe (1960) and revised by Strahan and Gerbasi (1972), the SDQ served in this study as an instrument to validate the participants' sincerity and to filter out participants with high social desirability scores. The M-C 2(10) comprises 10 items which are statements concerning personal attitudes and traits. With respect to each statement, participants indicated whether it was true or false about themselves. A social desirability score, ranging from 0 to 10, was calculated according to an algorithm (Strahan & Gerbasi, 1972) and 18 participants whose score was higher than 8 were not included in the statistical analysis, reported in the results, in order to prevent biased results due to extremely high levels of social desirability. Table 1 presents the intercorrelations between the independent measure (IRI score) and the dependent scores (DAS, JSDQ, ISS, and NPI with its subscale scores). A hierarchical multiple regression analysis was conducted to determine the amount of variance in the Internet-relationship expectation inventory scores associated with the research independent variables. In the first step, the variables of being in an Internet relationship (the categorical variable was recoded as a dummy variable-whether or not the participant had experienced an online relationship), age, gender, type of relationship in real life (marriage or cohabitation), and the duration of the "real life" relationship were entered. In the second step, the variables of self-disclosure in the "real life" relationship, the dyadic adjustment scale variables factors (dyadic cohesion and dyadic consensus), the narcissistic personality inventory factors (manipulation and exhibitionism, self-sufficiency, vanity and need for attention, authority and control) and sexual satisfaction in the "real life" relationship were entered. In the third step, the dyadic interactions between the dependent variables were entered and in the fourth step, the triadic interactions between the variables were entered.
Table 2. Hierarchical regression analysis
* p<0.05 ** p<0.01 *** p<0.001 All of the variables included in the regression equation explained 32.6% of the Internet relationship expectations' variance. The background variables entered in the first step explained 19.2% of the variance [F(5,166)=7.903 p<0.001 R2=0.192]. The variables entered in the second step explained an additional 7.3% of the variance [Fchange(8,158)=1.950 p<0.05] and the interactions entered in the third step added 4.6% to the total variance explained [Fchange(3,155)=3.645 p<0.05]. The triadic interaction entered in the fourth step did not significantly contribute to the prediction of Internet relationship expectations. Table 2 presents the relative contributions of the variables found to be significant predictors of Internet relationship expectations.
Table 2. Hierarchical regression analysis
* p<0.05 ** p<0.01 *** p<0.001
Overall, the results confirm the basic assumption underlying this study's hypothesis: that both personality-related factors and "real life" relationship-related factors contribute to the development of higher expectations of an Internet relationship. In addition, although not predicted, we found that there is a significant contribution of the mere experience of having an online relationship to the creation of expectations from such a relationship. Such an experience, in the past or at present, seems to be related to higher Internet relationship expectations.
Amichai-Hamburger, Y., Wainapel, G., & Fox, S. (2002). "On the Internet no one knows I am an introvert:" Extroversion, neuroticism, and Internet interaction. CyberPsychology and Behavior, 5 (2), 125-128. Blackmon, W. D. (1994). Dungeons and dragons: The use of a fantasy game in the psychotherapeutic treatment of a young adult. American Journal of Psychotherapy, 48 (4), 624-632. Bonebrake, K. (2002). College students' Internet use, relationship formation, and personality correlates. CyberPsychology and Behavior, 5 (6), 551-557. Buss, D. N., & Shackelford, T. (1997). Susceptibility to infidelity in the first year of marriage. Journal of Research in Personality, 31 (2), 193-221. Campbell, W. K., Foster, C. A., & Finkel, E. J. (2002). Does self-love lead to love for others?: A story of narcissistic game playing. Journal of Personality and Social Psychology, 83 (2), 340-354. Cooper, A., McLoughlin, I. P., & Campbell, K. M. (2000). Sexuality in cyberspace: Update for the 21st century. CyberPsychology and Behavior, 3 (4), 521-536. Cooper, A., & Splortolari, L. (1997). Romance in cyberspace: Understanding online attraction. Journal of Sex Education and Therapy, 22 (1), 7-14. Crowne, D., & Marlowe, D. (1960). A new scale of social desirability independent of psychopathology. Journal of Consulting Psychology, 24 (4), 349-354. Donn, J. E., & Sherman, R. C. (2002). Attitudes and practices regarding the formation of romantic relationships on the Internet. CyberPsychology and Behavior, 5 (2), 107- 123. Drigotas, S., & Barta, W. (2001). The cheating heart: scientific explorations of infidelity. Current Directions in Psychological Science, 20 (5), 177-180. Fitzpatrick, J., & Sollie, D. (1999). Unrealistic gendered and relationship specific beliefs: Contributions to investments and commitment in dating relationships. Journal of Social and Personal Relationships, 16 (6), 853-867. Gackenbach, J., & Ellerman, E. (1998). Introduction to psychological aspects of Internet use. In J. Gackenbach (Ed.), Psychology and the Internet (pp. 1-25). San Diego, CA: Academic Press. Hamilton, J. D., Decker, N., & Rumbaut, R. D. (1986). The manipulative patient. American Journal of Psychotherapy, 40 (2), 189-200. Hofer, P. A. (1989). The role of manipulation in the antisocial personality. International Journal of Offender Therapy and Comparative Criminology, 33 (2), 91- 101. Hudson, W. W., Harrison, D. F., & Crosscup, P. C. (1981). The index of sexual satisfaction. The Journal of Sex Research, 17 (2), 157-174. Hunsley, J., Best, M., Lefebvre, M. & Vito, D. (2001). The seven item short form of the dyadic adjustment scale: Further evidence for the construct validity. The American Journal of Family Therapy, 29 (4), 325-335. Jourard, M. S. (1971). Self-disclosure: An Experimental Analysis of the Transparent Self. New York: Wiley Interscience. Kohut, H. (1978). The disorders of the self and their treatment: An outline. International Journal of Psychoanalysis, 59 (4), 413-425. Koszalka, T. A. (2001). Effect of computer-mediated communications on teachers' attitudes toward using web resources in the classroom. Journal of Instructional Psychology, 28 (2), 95- 105. Kraut, R., Patterson, M., Lundmark, V., Kiesler, S., Mukopadhyay, T., & Scherlis, W. (1998). Internet paradox: A social technology that reduces social involvement and psychological well-being? American Psychologist, 53 (1), 1017-1031. McKenna, K. Y. A., & Bargh, J. H. (2000). Plan 9 from cyberspace: The implications of the Internet for personality and social psychology. Personality and Social Psychology Review, 4 (1), 57-75. McWilliams, N. (1994). Psychoanalytic Diagnosis: Understanding Personality Structure in the Clinical Process. New York: Guilford. Mitchell, S. A. (1986). The wings of Icarus: Illusion and the problem of Narcissism. Contemporary Psychoanalysis, 22 (1), 107-132. Raskin, R., & Terry, H. (1988). A principal components analysis of the narcissistic personality inventory and further evidence of its constructs validity. Journal of Personality and Social Psychology, 54 (5), 809-902. Seiden, H. M. (2001). Creating passion: An Internet love story. Journal of Applied Psychoanalytic Studies, 3 (2), 187-195. Silverstein, J. L. (1996). Exhibitionism as countershame. Sexual Addiction and Compulsivity, 3 (1), 33-42. Spanier, G. B. (1976). Measuring dyadic adjustment: New scales for assessing quality of marriage and similar dyads. Journal of Marriage and the Family, 38 (1), 15-28. Strahan, R., & Gerbasi, K. C. (1972). Short, homogeneous versions of the Marlowe - Crowne social desirability scale. Journal of Clinical Psychology, 28 (2), 191-193. Suler, J. (2001). The online dishinhibition effect. In The Psychology of Cyberspace. Retrieved April 15, 2005 from http://www.rider.edu/~suler/psycyber/disinhibit.html Walther, J. B. (1996). Computer-mediated communication: Impersonal, interpersonal and hyperpersonal interaction. Communication Research, 23 (1), 3-43. Wiggins, J. D., & Lederer, D. A. (1984). Differential antecedents of infidelity in marriage. American Mental Health Counselors Association Journal, 6 (4), 152-161. Worthy, M., Gary, A. L., & Kahn, G. M. (1969). Self-disclosure as an exchange process. Journal of Personality and Social Psychology, 13 (1), 59-63. Young, K. S. (1999). Cybersexual Addiction. Retrieved April 5, 2005 from: http://www.netaddiction.com/cybersexual_addiction.htm Young, K. S., Griffin-Shelly, E., Cooper, A., O'Mara, J., & Buchanan, J. (2000). Online infidelity: A new dimension in couple relationships with implications for evaluation and treatment. Sexual Addiction and Compulsivity, 7 (1/2), 59-74.
is a Ph.D. student in the Psychology Department, Bar-Ilan University, Israel. He received his M.A. in clinical psychology and is also working at the Brill Community Mental Center in Tel-Aviv, Israel. This article is based on his M.A. thesis, supervised by Yair Amichai-Hamburger.
is a social-industrial psychologist. He received his Ph.D. from Oxford University. He is an assistant professor at the Psychology Department, Bar-Ilan University, Israel. Yair has written widely on the impact of the Internet on well-being. He is the editor of the book The Social Net: Understanding Human Behavior in Cyberspace to be published in June 2005, Oxford University Press.
|
|||||||||||||||||||||||||||||||||||||||||||||||||
| © 2005 Journal of Computer-Mediated Communication | |||||||||||||||||||||||||||||||||||||||||||||||||