213individuals with higher degrees are more frequently found among those
integrated in this latter type of personal configurations and less so in the
Extended conjugal type.
In Lithuania, biographies of the last twenty years of co-residence are a
major structuring factor of personal configurations as they contribute to
explaining eight of the nine corresponding types. Compared to Parenthood
trajectories, the Solo type tends to produce more frequently Siblings,
Friendship, Wo rk, and Mixed personal configurations. Individuals follow-
ing Nesting one parent trajectories are more likely to develop Wo rk,
Siblings, and Mixed configurations. In Lithuania, Conjugality and
Transition to lone parenthood trajectories favour the structuring of Mixed
configurations. When individuals have experienced Leaving parental
home trajectories, personal configurations of the types Friendship, Mixed,
and Parents are more frequent. As in the two other countries, non-
reproductive trajectories are negatively associated with personal
configurations based on the family of orientation. Unlike in the two
other countries, in Lithuania, gender is not associated with any particular
type of personal configurations, making it more egalitarian in this regard.
On the other hand, age is associated with four of the nine personal con-
figurations. Younger individuals are more frequently integrated in Mixed
and Parents types of personal configurations and less so in Friendship and
Beanpole ones. The level of education plays a structuring role in only two
of the nine cases. Lower levels are more common in Siblings configura-
tions, whereas medium levels are more frequent in Narrow-nuclear
configurations.
Conclusions
The aim of this chapter was to examine the extent to which the personal
networks of individuals were influenced by their co-residence trajectories
over the past 20 years (1990–2010), taking into account additional
macro- and meso-structural factors such as birth cohort (1950–1955 or
1970–1975), level of education, and national context (Lithuania,
Portugal, and Switzerland). The following main conclusions may be
inferred from the data.
Linking Family Trajectories and Personal Networks