Minority Health and Health Equity Archive

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Welcome to the Minority Health and Health Equity Archive (MHHEA), an electronic archive for digital resource materials in the fields of minority health and health disparities research and policy. It is offered as a no-charge resource to the public, academic scholars and health science researchers interested in the elimination of racial and ethnic health disparities.

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Subject: search.filters.subject.Making Connections Cross-Site Survey

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    MAKING CONNECTIONS CROSS-SITE SURVEY: BASIC DEMOGRAPHICS
    (2010) Kingsley, G. Thomas; Hayes, Christopher
    The Making Connections Cross-Site Survey provides a wealth of information on resident perceptions of services. The survey has entailed interviews with large samples of families in Making Connections neighborhoods in all 10 sites at two points in time: first in 2002 or 2003 (depending on the site), and second in 2005 or 2006. A third wave was then conducted in the selected neighborhoods in 5 of the 10 sites in 2008 or 2009 (Denver, Des Moines, Indianapolis, San Antonio, and White Center). These fact sheets focus on the 2008/09 survey and significant changes between it and earlier waves in the 5 sites. They provide selected data on the demographic makeup of Making Connections neighborhoods and how the relevant indicators had changed over time. We expect that data on these basic indicators will inform understanding of many other branches of research using the survey data. The topics covered are: • Types of households (households with and without children) • Race and ethnicity (households with and without children) • The foreign born (households with children only) • Age and gender (households with children only) Gaining clarity at the outset in differences between the characteristics of households with children and childless households is important. These two groups differ from each other in important ways. Families with children have been the focus of the Making Connections mission and, on many dimensions, they need be looked at separately. Lumping households with and without children together can create indicators that are often difficult to interpret.
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    MAKING CONNECTIONS CROSS-SITE SURVEY: HUMAN, FINANCIAL AND CIVIC SERVICES IN MAKING CONNECTIONS NEIGHBORHOODS
    (2010) Kingsley , G. Thomas; Hayes, Christopher
    The Making Connections Cross-Site Survey provides a wealth of information on resident perceptions of services. The survey has entailed interviews with large samples of families in Making Connections neighborhoods in all 10 sites at two points in time: first in 2002 or 2003 (depending on the site), and second in 2005 or 2006.1 A third wave was then conducted in the selected neighborhoods in 5 of the 10 sites in 2008 or 2009 (Denver, Des Moines, Indianapolis, San Antonio, and White Center). These fact sheets focus on the 2008/09 survey and significant changes between it and earlier waves in the 5 sites. They provide selected data on resident perceptions of key services, describing variations across site, and across racial/ethnic groups. They provide information for families with children only in Making Connections neighborhoods on: • Demand for services. This indicator is the percent of all respondents that say they want or need each particular service. • Unmet need. This indicator is the percent of would-be users (those who use a service or who say they want or need a service) who, for any of a number of reasons, do not use it. • Reasons for not using a service. • Satisfaction with services. Percent of users of a service saying they are satisfied with it (in most cases, ratings of 5 through 7 on a 7 point scale). The design of the section of the survey on services was different between the waves one and two for all questions other than those on satisfaction. Therefore, for the participating sites, we are able to report results on changes in satisfaction for all three waves, but only on changes in other indicators between the 2005/06 and 2008/09 waves.
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    MAKING CONNECTIONS CROSS-SITE SURVEY: SOCIAL AND NEIGHBORHOOD CONDITIONS
    (2010) Kingsley, G. Thomas; Hayes, Christopher
    The Making Connections Cross-Site Survey provides a wealth of information on changing conditions in low-income communities. The survey has entailed interviews with large samples of families in Making Connections neighborhoods in all 10 sites at two points in time: first in 2002 or 2003 (depending on the site), and second in 2005 or 2006. A third wave was then conducted in the selected neighborhoods in 5 of the 10 sites in 2008 or 2009 (Denver, Des Moines, Indianapolis, San Antonio, and White Center). These fact sheets focus on the 2008/09 survey and significant changes between it and earlier waves in the 5 sites. They provide selected data on social and neighborhood conditions in Making Connections neighborhoods and discuss how the relevant indicators have changed over time. We expect that data on these basic indicators will inform understanding of many other branches of research using the survey data. The topics covered are: 1. Social networks 2. Civic participation 3. Community mobilization 4. Overall neighborhood conditions and safety 5. Neighborhood disorder/incivility In almost all sections, we note statistically significant changes in indicators between the first survey (2002/03) and the third (2008/09). In the first part of the first section (Table 1.1) however, we note changes between the second survey (2005/06) and the third, because key questions related to respondents getting and giving non-financial help were not asked in the first survey.
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    Mediating Impact of Social Capital and Human Capital on Employment Outcome among Single Women Who Use Welfare: A Structural Equation Model
    (2011) Gezinski, Lindsay Blair
    With the passage of the Personal Responsibility and Work Opportunity Reconciliation Act (PRWORA) in 1996, Congress ended “welfare as we know it” and formally adopted a workfare approach. However, families continue to be trapped in the “low-wage ghetto”. Therefore, research is needed that investigates effective routes out of poverty. Studies have found that welfare recipients with higher educational attainment work more and earn significantly higher income than those with lower educational attainment. However, very little research exists around the relationship between social capital and labor force participation. Four research questions guided this study: (1) How do demographic variables affect social capital and human capital among single women who use welfare? (2) How do social capital and human capital affect employment outcome? (3) Do social capital and human capital act as mediators between demographic variables and employment outcome? (4) How do macro-level variables (i.e., city unemployment rate and state TANF policy) affect employment outcome? This study analyzed Wave 2 (2005-2007) data from the Making Connections Cross-Site Survey database. 1,428 women with no spouse/partner present in the household who indicated use of a TANF/welfare office in the last 12 months were selected for inclusion in the study sample. An exploratory factor analysis was conducted to extract factors that underlie the social capital construct and to identify the indicators that were associated with each of those factors. Five social capital factors emerged: support giving social capital, bonding social capital, bridging social capital, value sharing social capital, and support receiving social capital. Structural equation modeling was used to answer the major research questions in this study. This study found that older participants had a lower level of human capital, support giving social capital, and support receiving social capital than their younger counterparts. Additionally, older recipients had a worse employment outcome. Human capital and support giving social capital were positively associated with employment outcome, meaning that a higher level of human capital and giving support to family and friends were associated with a better employment outcome. In contrast, receiving support from family and friends was associated with a worse employment outcome. Human capital, support giving social capital, and support receiving social capital were found to mediate the relationship between age and employment outcome. Furthermore, more generous state TANF policy was associated with a worse employment outcome. Finally, there was sufficient evidence that factor loadings differed across race/ethnicity, presence of child under the age of 6, and ownership of a vehicle. This study has implications for policy, practice, and research. First, federal TANF policy should be amended to encourage the accumulation of human capital. Second, community participatory interventions are needed to increase social capital. Third, research is needed that will develop a measurement tool that can be tailored to measure social capital among low-income families. Longitudinal research is needed to examine the impact of social capital on employment in the long-term.