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April 8, 2010 Meeter Center Lecture Hall Calvin College Grand Rapids, Michigan 1 Center for Social Research Staff.

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Presentation on theme: "April 8, 2010 Meeter Center Lecture Hall Calvin College Grand Rapids, Michigan 1 Center for Social Research Staff."— Presentation transcript:

1 April 8, 2010 Meeter Center Lecture Hall Calvin College Grand Rapids, Michigan 1 Center for Social Research Staff

2 Introduction Jim Penning, Director of CSR Presenters Neil Carlson, Assistant Director Christina der Nederlanden, Research Associate Nathan Mosurinjohn, GIS Technician Jeff Schiman, Statistical Analyst Closing remarks Edwin Hernandez, Ph.D., RDV Corporation

3 Overview Presentation purpose About KCCS Congregational population (2009 census data) Spatial and social distance measures (2007 survey data) Local generosity analysis (2007 survey data) Future research and community impact (Edwin Hernandez) 3

4 Presentation Purpose Present new information from the Kent County Congregations Study 2009 congregational census 2007 social network data 2007 generosity analysis Demonstrate data visualization tools ArcGIS mapping NodeXL network analysis Tableau charting Prompt discussion of your research ideas and interests 4

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9 Data visualization rising Low cost, relatively easy-to-use visualization tools arriving Transition in progress from: Before: Visuals too difficult and time consuming to create except as final presentation aids After: Visuals an integral round-trip part of data analysis 9

10 Data visualization keys Data integration: a few linked sources, many uses Rapid, interactive what-if analysis Data processing matters: interdependence with command line and spreadsheet-style tools Edward Tufte, dataviz guru: makeover in NYT Japanese math and science superiority Dont condescendshow dense info Small multiples have big impact 10

11 ArcGIS Market leader in Geographic Information Systems Calvin has a site license ArcGIS Server ( can support interactive map analysis over the web for students with little training Dr. Jason Van Horns GIS course just approved by Faculty Senate for addition to the core for visual rhetoric 11

12 NodeXL Open-source, free template add-in for Microsoft Excel 2007, developed by Microsoft staff and a coalition of academics. Works with any network data: people and their relationships => vertices and edges Students can use familiar spreadsheet tool to visualize network data 12

13 Tableau Award-winning interactive charting tool developed at Stanford Drag-and-drop interface, shelf metaphor (Super)rows, (super)columns, shape, color, text, size, filter, page Roots in business intelligence Public version free for general use, available to students; Server-side: Publish interactive visualizations to the Web 13

14 About KCCS Sponsored by the Doug & Maria DeVos Foundation Goals Serve the community, especially children in public schools Create original research Project history 2006: partial census and list collation 2007: countywide survey 2008: Gatherings of Hope report 2009: countywide census 14

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16 Sample KCCS facts Just 33% of surveyed congregations reported working with a public school (but 50% of Reformed congregations!) 583 congregations reported over 2,000 programs and over 9,000 services and activities for members and the general public. Replacement value of these services exceeds $89 million a year. 16

17 2009 Census Team effort by staff and students Census managed by Christina der Nederlanden, recent Calvin grad in psychology 17

18 Census Methods Mission? Update the KCCS congregation information (2007) & identify new congregations since last canvas of Kent County. What is a congregation? Definition: a group that meets regularly on an on-going basis, comes together primarily for worship, meets and worships at a designated place and has an official name and formal structure that conveys its purpose. 18

19 Out in the field Two-student team Census tract map Census update forms

20 Canvassing Process Process began in June of 2009 and ended mid-November 2009. Able to cover all of Kent County, including areas not completed in 2006. 124 tracts covered, 24 new congregations discovered, 35 moved, 3 closed, 760 congregations confirmed. 20

21 Neighborhood Context 21 Street condition/cleanliness, land use, greenery:

22 Tableau 22

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26 Final chart 26

27 Spatial relationships Who is my neighbor in physical space? Census data includes latitude and longitude of all cases Nathan Mosurinjohn, recent Calvin graduate in GIS 27

28 Geographic Information Systems Coordinate Data Collection Analyze data Visualize data 28

29 Coordinate Data Collection Create waypoints for neighborhood context Used MPS Atlas tool to create booklet of maps for canvassing 29

30 Data Collection 30

31 Data analysis Neighborhood context rating Cronbachs alpha scale of several observational items (alpha = 0.67) Kriging interpolated surface with statistical error estimates 31

32 Kriged surface of neighborhood context 32

33 Data analysis Neighborhood context rating Congregation changes Newly opened or discovered Closed Moved 33

34 Over-time change 34

35 GR detail, over-time change 35

36 GR area, tradition and size 36

37 Miles to nearest neighbor by tradition 37

38 Miles to nearest neighbor of a different primary ethnicity 38

39 Miles to nearest neighbor by ethnicity 39

40 Miles to nearest neighbor of a different primary ethnicity 40

41 Social interactions Survey respondents were asked to name up to 3 relationships with other congregations or organizations We coded these to link to any congregation within Kent County 4,658 interactions, 1,589 with other congregations Baseline measures to evaluate coalition-building efforts 41

42 Interaction counts 42

43 43 Interethnic interactions

44 Inter-tradition interactions 44

45 45 All Interactions

46 Joint Service Projects 46

47 Congregational Social Networks NodeXL Interaction Types: General Interaction, Joint Service Project, Personal Associations, Shared Building, Shared Leader, Association Betweenness Centrality Closeness Centrality Eigenvector Centrality Clustering Coefficient 47

48 Diagram of Joint Service Projects 48

49 Who are our neighbors? 49

50 Who are our neighbors? 50 Joint service projects with neighbors 2 miles away or less

51 Network statistics by interaction type 51

52 Closeness centrality by ethnicity (axis reversed; smaller values = fewer steps to neighbors) 52

53 Closeness Centrality by Size and Tradition 53

54 Local charitable giving Do we show charity to our neighbors in proportion to our capacity to do so? KCCS data includes local vs. nonlocal domestic vs. international cash giving Becky Haney (economics) and Jeff Schiman, recent economics grad, are working on analysis 54

55 Congregational Giving 55 Congregational giving totals Figure 20, Page 24

56 Questions Are local and non-local giving complements or substitutes? How do local giving and total giving vary as a proportion of congregation budget? Are total giving and local giving inferior goods, normal goods, or luxury goods?

57 Of Interest Few have studied congregation level giving. We try to determine the relationship between models of individual and congregation giving. We test the methodological approach in the current literature.

58 Very Preliminary Results Income Elasticity

59 Method used: Both Heckman Selection Pseudo R-Square: 0.3295 Local and non-local giving Data suggest complementarity. For every 10% increase in non-local giving, local giving increases by 0.68%. Other significant and positive relationships: Income of the church: 2.6% The number of regular participants: 3.9% Urban congregation: 29% Pastor hours spent in community participation:1.6% Joint service projects: 0.97%

60 Future Work & Resources Data available for further study KCCS offers analytical assistance to selected projects Online directory Support for the Doug & Maria DeVos Foundations Successful Futures Neighborhood Initiative 60

61 Closing Remarks Edwin Hernandez, Ph.D. RDV Corporation 61

62 Questions and Comments? 62

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