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Service and Diverse Interactions in College as Predictors of Civic Engagement in the Post-college Years: Differences Across Institutional Types Erica Yamamura,

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Presentation on theme: "Service and Diverse Interactions in College as Predictors of Civic Engagement in the Post-college Years: Differences Across Institutional Types Erica Yamamura,"— Presentation transcript:

1 Service and Diverse Interactions in College as Predictors of Civic Engagement in the Post-college Years: Differences Across Institutional Types Erica Yamamura, M.A. Nida Denson, M.A UCLA Higher Education Research Institute AIR Annual Forum San Diego, CA May 2005

2 Introduction Shifts in community service and service learning (K-12 & Higher Education) Increasingly diverse college campuses Impact of College on Volunteerism after college

3 Background: Community Service and Service Learning Few studies have looked at the long- term impact of college community service on post-college civic engagement. (Astin, Sax, & Avalos, 1999; Denson, Vogelgesang, & Saenz, 2005; Eyler, 2000)

4 Background: Racial Diversity in Higher Ed Types of Diversity –Structural Diversity –Diversity Initiatives –Cross-racial Interaction (Hurtado, Milem, Clayton-Pedersen, & Allen, 1999; Milem, 2003)

5 Background: Cross-Racial Interaction Cross-racial interaction (CRI): type of college diversity that looks directly at peer interaction with students of different racial and ethnic groups (Antonio, 1998; Milem, 2003).

6 Background: Cross-Racial Interaction Few studies have looked at the long- term benefits of cross-racial interaction. A notable exception: Bowen and Bok’s (1998) study of graduates of selective schools

7 Theoretical Framework: Institutional Type Analysis No current study on the impact of college service and diversity on civic engagement post-college by institutional type Institutional Types for Study: –Public –Private –Religious

8 Data Sources CIRP 1994/1998 Data 2004 Post-College Follow Up Survey –supported by a three-year grant from the Atlantic Philanthropies U.S.A., Inc

9 Method Sample –6,515 students from 138 institutions –1994 SIF, 1998 CSS, 2004 PCFS Analytic Approach –Hierarchical Linear Modeling (HLM)

10 Logic of Hierarchical Linear Modeling (Raudenbush & Bryk, 2002) HLM decomposes relationships between variables into separate student-level and institution-level components The different effects of a variable resulting from differing levels can be included in one model Allows for formulation and testing of hypotheses about cross-level effects

11 Institution -level Student -level Outcome Post-College Volunteerism Type AVG: service AVG: CRI ServiceCRI % URM Conceptual Framework

12 Research Question #1: Student-Level Effects Institution -level Student -level Outcome Post-College Volunteerism Type AVG: service AVG: CRI ServiceCRI % URM

13 Research Question #2: Institution-Level Effect Institution -level Student -level Outcome Post-College Volunteerism Type AVG: service AVG: CRI ServiceCRI % URM

14 Research Question #3: Institution-Level Effects Institution -level Student -level Outcome Post-College Volunteerism Type AVG: service AVG: CRI ServiceCRI % URM

15 Research Question #4: Cross-Level Effects Institution -level Student -level Outcome Post-College Volunteerism Type AVG: service AVG: CRI ServiceCRI % URM

16 2004 Volunteerism Outcome (α=.81) 12 Items - Frequency: performed volunteer work (.74) - HPW: volunteer work (.68) - Collect, prepare, distribute, or serve food (.60) - Collect, make or distribute clothing, crafts, or goods other than food (.49) - Teach, tutor, mentor, coach, or referee (.56) - Fundraise or sell items to raise money (.54) - Supply transportation for people (.55) - Provide general office services (.49) - Provide information, be an usher, greeter or minister (.60) - Engage in music, performance, or other artistic activities (.49) - Perform physical labor (.64) - Other (.49)

17 Variables of Interest Student-Level –Service (no service, community service only, both community service and SL) –Cross-racial interaction (CRI) Institution-Level –Institutional type (public, private, religious) –Structural diversity (% URM) –Peer average levels of volunteerism –Peer average levels of CRI

18 Control Variables Student-Level –Freshman pretest for volunteerism –Pre-college characteristics –College experiences Institution-Level –Size, selectivity –Student-level aggregates (peer effects)

19 Sample – Percent by institutional type

20 Service by Institutional Type

21 CRI by Institutional Type

22 2004 Volunteerism by Institutional type

23 Student-Level Findings Volunteer (+++) Volunteer & SL (+++) Cross-racial interaction (++) * p <.05 ** p<.01 *** p<.001

24 Student-Level Findings HS volunteering (+++) Curricular/co-curricular diversity acts (+++) Attended religious services (+++) Leadership/honors acts (+++) Challenged prof’s ideas in class (+++) * p <.05 ** p<.01 *** p<.001

25 Student-Level Findings Asian/Asian-American (-) Joined a fraternity/sorority (-) * p <.05 ** p<.01 *** p<.001

26 Institution-level findings Institutional type: private (ns) Institutional type: religious (ns) Structural diversity: %URM (ns) AVG: volunteerism (ns) AVG: CRI (ns) * p <.05 ** p<.01 *** p<.001

27 Institution-level findings AVG: attended religious services (++) * p <.05 ** p<.01 *** p<.001

28 Cross-Level Findings AVG: volunteerism (ns) * p <.05 ** p<.01 *** p<.001

29 Cross-Level Findings Structural diversity: % URM (--) AVG: attended religious services (++) * p <.05 ** p<.01 *** p<.001

30 Summary Student participation in service and/or cross-racial interaction in college positively influences volunteerism after college Attending religious services also positively influences volunteerism after college

31 Summary Student peer group influence plays a larger role than institutional type (i.e. religious colleges) in predicting volunteerism after college

32 Summary Structural diversity (as measured by %URM) had a weakening effect on the CRI  volunteerism relationship Peer average levels of attending religious services had a strengthening effect on the CRI  volunteerism effect

33 For copies of our presentation… http://www.gseis.ucla.edu/heri

34 Question & Answer Session Thank you!


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