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Monogamy and Independent Families

A Research Note Concerning Two Propositions from Macrosociology

Bibliographic Data

ID6138522
AuthorsH Dean Sheils (University of Wisconsin–Madison, corresponding author)
Year1971
Volume6
Issue4
Pages221-228
Publication date1971-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBehavior Science Notes (JOURNAL)
Journal identifiersISSN: 0005-7886
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/106939717100600401
OpenAlexW2120627774
LanguageEN
Citations received4
References cited7

This research note is concerned with a statistical evaluation of two propositions from macrosociological theory: that the relationship of monog amy and independent families to societal complexity is best described by a curvilinear mathematical model. Data from 483 societies in the World Sample were used to test these propositions. The results show that while the curvilinear model does explain more of the total variance than do similar tests based on the linear model the total amount of variance ex plained is relatively low. It was also found that the curvilinear model explained more variance when the dependent variables are scored as pres ent-absent rather than when degrees of extension or proportions of monog amy are substituted for the dichotomized versions. Finally, it is suggested that poor discriminatory power in the complexity scale may be contributing to the unexplained variance

Curvilinear coordinates · Econometrics · Economics · Explained variation · Extension (predicate logic · Geography · Sample (material · Scale (ratio · Statistics · Test (biology · Variance (accounting · Variance components · Adolescent Sexual and Reproductive Health · Computer Science · Islamic Finance and Banking Studies · Marriage and Sexual Relationships · Mathematics

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  • Comparative Sociology

    Remi Clignet, Robert M Marsh•American Sociological Review•1968

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Unique citing works4
Citations per year0,08
Citation span1973 - 2017 (45)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 4

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