Found 1783 Hypotheses across 179 Pages (0.008 seconds)
  1. Findings: A factor analysis of traits used to develop a settlement pattern scale of cultural complexity yielded three important factors. Factor 2, "Political" (oblique rotation), loaded positively and heavily on leadership and political structure variables (245)McNett, Charles W., Jr. - Factor analysis of a cross-cultural sample, 1973 - 4 Variables

    This study employs factor analysis to develop a settlement pattern scale of cultural complexity. Political, economic, and religious factors are identified and implications for the structure of the cultural system are discussed.

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  2. Findings: A factor analysis of traits used to develop a settlement pattern scale of cultural complexity yielded three important factors. Factor 1, "Religion" (oblique rotation), loaded negatively and heavily on religious and ceremonial variables (245)McNett, Charles W., Jr. - Factor analysis of a cross-cultural sample, 1973 - 9 Variables

    This study employs factor analysis to develop a settlement pattern scale of cultural complexity. Political, economic, and religious factors are identified and implications for the structure of the cultural system are discussed.

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  3. Certain characteristics of societies will be significantly correlated in the same direction with both Simmons' (137) and Murdock's (1967) measures of private property ownership.Rudmin, Floyd Webster - Cross-Cultural Correlates of the Ownership of Private Property, 1992 - 25 Variables

    The present study aims to assess the reliability of Simmons' (1937) database of 109 variables coded for 71 societies. Simmons' data was evaluated against matching societies and variables from Murdock's (1967) Ethnographic Atlas. The ultimate purpose of Rudmin's analysis is to identify the features of societies that are correlated with the private ownership of property. To do so, Simmons' reliable variables are tested against four measures of property ownership, two from Simmons and two from Murdock. Rudmin discusses results and speculates why certain clusters of societal variables correlate with private property ownership.

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  4. Social differentiation will be positively associated with indices of miscellaneous crime (251).Leavitt, Gregory C. - General evolution and Durkheim's hypothesis of crime frequency: A cross-cult..., 1992 - 20 Variables

    This paper is an investigation into the relationship between social differentiation as a proxy for societal 'development' and various categories of crime. A positive relationship is interpreted by the author as empirical cross-cultural support for Durkheim's theory that these two factors will increase together as parallel processes of 'sociocultural evolution'.

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  5. Societies depending on agriculture for primary subsistence can be divided into distinct economic groups based on significant positive associations with varying institutions of property and distribution. (102)Frederic L. Pryor - Economic Systems of Foraging, Agricultural, and Industrial Societies, 2005 - 23 Variables

    The second and third parts of this book classify the economic systems of foraging and agricultural societies in the SCCS based on correlations between their institutions of property an distribution. These economic types are then examined for relationships with other social, political, demographic, and environmental factors in order to draw tentative conclusions regarding the origins of the Agricultural and Industrial Revolutions. The fourth part of the book uses cross-national data to examine similar associations in industrial/service economies, and is not included here.

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  6. Certain characteristics of societies will be significantly correlated in the same direction in both of Murdock's data sets.Rudmin, Floyd Webster - Cross-Cultural Correlates of the Ownership of Private Property: Two Samples ..., 1995 - 55 Variables

    The present study aims to evaluate correlations of private property from two of Murdock's datasets, one of 147 societies (1981) and the other of 312 societies (1967). Altogether the author tested 146 variables coded by Murdock against variables regarding the ownership of land and of movables drawn from Murdock (1967), Simmons (1937), and Swanson (1960). In total, there were 51 statistically significant correlations between private property ownership and other variables. Additionally, the author summarizes the results from this article and the two that preceded it stating that throughout all of the correlations he ran, the practice of agriculture, the use of cereal grains, and the presence of castes and classes were the only variables that predicted private property in all of the datasets that were utilized.

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  7. Findings: Factor L, "Lineality", is bipolar. Traits which load heavily and positively (oblimax rotation) are: patripotestal family authority, patrilineal inheritance, patrilineal descent, patrilineal succession, and subjection of women. Negative loadings are for matrilineal inheritance and descent (21)Gouldner, Alvin W. - Notes on technology and the moral order, 1962 - 8 Variables

    Using empirical data and statistical methodology, Gouldner and Peterson aim to identify fundamental dimensions across societies, examine the relationships among these dimensions, and evaluate their importance. Data analysis is largely based on factor analysis, and the authors discuss how statistical methods fit into functional social theory.

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  8. A 5-rank ordinal scale of cultural complexity, derived from settlement pattern typology, is presented (in increasing order of complexity): band, village, town, city and state. Linear regression analysis demonstrates an almost perfect relationship between settlement patterns and the average number of complex traits each culture possesses (872, 877)McNett, Charles W., Jr. - A settlement pattern scale of cultural complexity, 1970 - 5 Variables

    The author utilizes Beardsley et al.'s (1956) settlement pattern typology to develop a five-rank scale of cultural complexity. The scale was developed using 30 traits converted into categorical form. The scale is designed for use by archaeologists to infer or presume the existence of certain nonmaterial cultural traits in a given society.

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  9. Permanency of settlement patterns will be positively associated with land ownershipKavanaugh, Patrick - Drivers of global variation in land ownership, 2021 - 2 Variables

    Using multiple logistic regression, the researchers compare the relative strength of predictors of land ownership across 102 societies. The analysis finds significant predictive power in factors such as neighbors' property system, population density, and geography.

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  10. Changes in craft specialization will be followed by changes in agricultural intensity, which will then be followed by further changes in craft specialization (140).Dow, Malcolm M. - Agricultural intensification and craft specialization: a nonrecursive model, 1985 - 2 Variables

    This study uses four widely discussed hypotheses regarding the relationship between agricultural intensification and craft specialization to develop a non-recursive model. Authors test the model on both worldwide and regional subsamples. Results show support for a hypothesis proposing a feedback relationship between increasingly productive agricultural systems and the division of labor into nonagricultural craft specialties.

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