‘Family
composition’ is a concept which can be simply defined, yet it can be an
extensive concept depending on in what context it is understood. For some
people ‘family composition’ is where an individual comes from like divorced or
married parents, how many siblings and for others it may include grandparents,
God parents or even extended family. This is the goal of our research study to understand
how different cultures define ‘family composition’ and the importance they
attach to family in an individual’s life.
Skinner
(1997) highlights the concept of family system that he reports is understood
and managed differently in varying cultures. The study concludes that family
system can affect behavior but not control it, however, the extent of affect
family system has on an individual is still yet to be understood especially in
the light of the modern trends. Some researchers have even linked the family
system trends in a culture to its corporate culture like the Japanese family
logics that have sustained the Japanese corporate system as well (Bhappu, 2000).
The
research problem for our study is to understand to what extent and how does
family composition affect the experiences and decisions in an individual’s
life. We will aim to understand this in terms of Intelligence Quotient (IQ)
levels, education level and personal decisions like choice of spouse, job etc.
Brye (1979) explains the concept of handling death of loved ones in an Amish
culture and the role of family system, quality of life.
The
purpose of this study is to explore how the definition of family composition
differs in different cultures and parts of the world and how does it affect
people. We would achieve this by collecting, analyzing data collected from
current research and doing past research review to understand how family
composition plays a crucial part in an individual’s life.
Muhuri, Preston (1991) write
that in Bangladesh parents are unable to keep a balance between male and female
children, with the mortality rate being highest among girls who are born after
a sister. Their study shows that mortality rate is lowest among boys born after
or before boys. This concludes, according to Muhuri & Preston (1991) that
parents are unable to overcome discrimination between sons and daughters in
Bangladesh. This is highly influenced by the cultural and religious standings
of the place which means it is a very strong stance, hard to change. This is
relevant in this article because our study can assist in understanding the
effects of these attitudes children and how they live their adult life. Our
study can help bridge the gap between family influences and adult life.
Some researchers have connected
family composition to intense situations like crime, joblessness and economic
disasters, as they argue that a dysfunctional family hurts the structural base of
an individual (Sampson, 1987).
When considering who this study will be important for then we would add
populations from all walks of life and from all economic standings.
Healey, M. D., & Ellis, B. J. (2007). Birth order,
conscientiousness, and openness to experience: Tests of the family-niche model
of personality using a within-family methodology. Evolution and Human Behavior, 28(1), 55-59.
Muhuri, P. K., & Preston, S. H. (1991). Effects of family
composition on mortality differentials by sex among children in Matlab,
Bangladesh. The Population and
Development Review, 415-434.
Patton, M. Q. (2002). Qualitative research and evaluation
methods (3rd ed.). Thousand Oaks, CA: Sage Publications, Inc.
Rogers, R. G. (1996). The effects of family composition,
health, and social support linkages on mortality. Journal of Health and Social
Behavior, 326-338.
Scarr,
S., & Weinberg, R. A. (1978). The influence of" family
background" on intellectual attainment. American
Sociological Review, 674-692.
Skinner,
E. A., Edge, K., Altman, J., & Sherwood, H. (2003). Searching for the
structure of coping: a review and critique of category systems for classifying
ways of coping. Psychological
bulletin, 129(2), 216.
Sandelowski,
M. (1995). Sample size in qualitative research. Research in nursing & health, 18(2), 179-183.
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