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Be Fruitful and Multiply? Church Size and the Generation of Social Capital
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Principal components analysis with varimax rotation produced two factors with eigenvalues greater than one. The interpretation of these factors was based on the assumption that factor loading greater than .5 were substantively significant. The factor loadings on Factor One are trust neighbor (.71), trust community volunteer (.76), trust feeling sharer (.71). The factor loadings on Factor Two are trust political (.56), trust appointment misser (.84), trust unemployed neighbor (.51) and trust neighbor who keeps to self (.52).The denominational codes in the Civic Involvement Study are not as detailed as the National Election Study nor the General Social Survey. While it includes several specific denominational groups it also contains categories for undifferentiated Baptist, Lutherans, Methodist, Presbyterians, Protestants and Christians. In these instances people’s denomination may not have been listed and they did not identify one. Following Campbell’s method for dealing with this lack of specificity (2004) the undifferentiated are coded as what most of the rest of the tradition is. For example if a respondent belonged to the Evangelical Church in America he or she was coded mainline. If they belonged to the Missouri Synod Lutheran they were coded evangelical. If they were “Other Lutheran” or “Lutheran, don’t know which denomination” they were coded mainline. Because many evangelicals churches are non denominational “Christians” are coded as conservative Protestants. “Protestants” are coded as mainline. There are no theologically based measures in the CIS to allow further classification on the basis of beliefs. It is also not possible to use behavioral based measures because they are included in the model as control variables. There are surprisingly few African American people who identified with Black churches in the CIS. African Americans constituted approximately 17% of the survey but only 1.7% of respondents reported attending an African American congregation. Other studies indicate that most black people attend African American churches (Lincoln and Mamiya, 1991). Many of these respondents in the CIS must have identified themselves with general denominational groupings like Baptist or Methodist. The Other category included all Mormons, members of Orthodox churches, Muslims, and people who responded that they adhered to “other religions”. The standardized regression coefficient for church membership was .06. The standardized coefficient for living in an urban location was -.06.The standardized regression coefficient for church membership was .08. The next closest demographic variable had a standardized regression coefficient of .06.A tolerance test was conducted to ensure that multicollinearity was not a problem when including so many religiosity variables in the model at one time. No tolerance was below .45, indicating that multicollinearity was not a major obstacle with these data.
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| | Authors: Calhoun-Brown, Allison. |
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Principal components analysis with varimax rotation produced two factors with eigenvalues greater
than one. The interpretation of these factors was based on the assumption that factor loading greater
than .5 were substantively significant. The factor loadings on Factor One are trust neighbor (.71), trust
community volunteer (.76), trust feeling sharer (.71). The factor loadings on Factor Two are trust
political (.56), trust appointment misser (.84), trust unemployed neighbor (.51) and trust neighbor who
keeps to self (.52).
The denominational codes in the Civic Involvement Study are not as detailed as the National Election
Study nor the General Social Survey. While it includes several specific denominational groups it also
contains categories for undifferentiated Baptist, Lutherans, Methodist, Presbyterians, Protestants and
Christians. In these instances people’s denomination may not have been listed and they did not identify
one. Following Campbell’s method for dealing with this lack of specificity (2004) the undifferentiated
are coded as what most of the rest of the tradition is. For example if a respondent belonged to the
Evangelical Church in America he or she was coded mainline. If they belonged to the Missouri Synod
Lutheran they were coded evangelical. If they were “Other Lutheran” or “Lutheran, don’t know which
denomination” they were coded mainline. Because many evangelicals churches are non denominational
“Christians” are coded as conservative Protestants. “Protestants” are coded as mainline. There are no
theologically based measures in the CIS to allow further classification on the basis of beliefs. It is also
not possible to use behavioral based measures because they are included in the model as control
variables. There are surprisingly few African American people who identified with Black churches in
the CIS. African Americans constituted approximately 17% of the survey but only 1.7% of
respondents reported attending an African American congregation. Other studies indicate that most
black people attend African American churches (Lincoln and Mamiya, 1991). Many of these
respondents in the CIS must have identified themselves with general denominational groupings like
Baptist or Methodist. The Other category included all Mormons, members of Orthodox churches,
Muslims, and people who responded that they adhered to “other religions”.
The standardized regression coefficient for church membership was .06. The standardized coefficient
for living in an urban location was -.06.
The standardized regression coefficient for church membership was .08. The next closest demographic
variable had a standardized regression coefficient of .06.
A tolerance test was conducted to ensure that multicollinearity was not a problem when including so
many religiosity variables in the model at one time. No tolerance was below .45, indicating that
multicollinearity was not a major obstacle with these data.
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