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Size of Family and Adjustment of Children

Authors: G R, Hawkes; L, Burchinal; B, Gardner;

Size of Family and Adjustment of Children

Abstract

The relationship between family size and adjustment of children was studied in 256 Midwestern children. The Rogers test of personality adjustment was used. The children in the sample lived in rural areas and towns with populations under 10000 in Ohio Kansas Iowa and Wisconsin. Family sizes ranged from 2 to 11 children. Results indicated that a small family environment does not have a detrimental effect on the childrens personality development and suggested that children from smaller families might fare better psychologically than children from larger families. These findings tend to agree with those of Nye but are at variance with those reported by Bossard and Boll and by Ellis and Beechley. It is noted however that the purpose samples used and methods of analysis employed in the studies were different which makes comparisons difficult.

Keywords

Family Characteristics, Research, North America, Statistics as Topic, Psychology, United States

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Average
Top 10%
Average
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