Relationship science, as a young developing science, needs to develop a detailed empirical base. Various trends outside of the field are likely to influence the field. We are probably going to see more biological concepts and explanation, as well as more research on relationships for people in retirement and in service-oriented employment. Relationship research will continue to employ quantitative and qualitative methods. Among the quantitative methods to be increasingly used are network analysis, event history analysis and multilevel models.
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2.
Bryk, A.S. & Raudenbush, S.W. (1992) Hierarchical Linear Models: Applications and Data Analysis Methods. Newbury Park, CA: Sage.
3.
Kenny, D.A. (1994) Interpersonal Perception: A Social Relations Analysis. New York: Guilford Press.
4.
Kenrick, D.T. (1994) `Evolutionary Social Psychology: From Sexual Selection to Social Cognition', in M.P. Zanna (ed.) Advances in Experimental Social Psychology, vol. 26, pp. 75-121. San Diego, CA: Academic Press.
5.
Snijders, T.A.B. (1994) `Multilevel Methods for Analyzing Relational Data', paper presented at the 7th International Conference on Personal Relationships, Groningen, The Netherlands.
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Wassermann, S. & Faust, K. (1993) Social Network Analysis: Methods and Applications. Cambridge: Cambridge University Press.
7.
Wellman, B. & Berkowitz, S.D. (1988) Social Structures: A Network Approach. Canibridge: Cambridge University Press.
