Transcript Social Networks and Multiple Ethnic Identifications

Social Networks and Multiple Ethnic Identifications
Rosalyn Negrón, Ph.D. UMASS Boston
Anthropology
1.Personal networks and ethnic
3.
Study:
identification:
• Focus on the relationship between personal
network ethnic composition and the use of
multiple ethnic identifications.
• Explores the notion that multiple ethnic
identifications arise from participation in
multiple spheres of social interaction, as
reflected in a person’s social network.
2. Network ethnic homogeneity vs.
heterogeneity:
•Hypothesis:
people
with
ethnically
heterogeneous personal networks (see Figure
1) are more likely to have multiple ethnic IDs
than people with ethnically homogeneous
networks (see Figure 2).
•Location: New York, NY
•101 respondents from Puerto Rico, Dominican Republic,
Colombia, and Mexico.
•Data collection:
• Personal network survey using
Egonet (McCarty 2003) - 45 alters, data
on network composition and structure.
• Factorial survey (Rossi & Noch 1982) to assess
ethnic identification switching.
• Ethnic identification survey to elicit list of all
the ethnic categories resps identified with.
• Network visualization interviews
4. Dominant ethnicity in ego network and
use of multiple ethnic identifications
Spearman Correlation Coefficients, N = 101
Prob > |r| under H0: Rho=0
Dominant Ethnicity
Represented
in Ego Nets
(> 70% of network)
Ethnic Identifications: Latina, Dominicana, Hispana,
Cibaeña, Capitaleña, Caribeña, Morenita,
Dominicana- Americana, Española, Americana
Figure 1. Ethnically heterogeneous network of a
Dominican woman in this study. Alters from the
US, the Dominican Republic, Puerto Rico and
others.
American
Dominican
Mexican
Puerto Rican
Other
Colombian
No.
of Ethnic IDs
Used
0.23708
-0.10466
0.11295
0.00779
0.04046
-0.07956
0.0170
0.2976
0.2607
0.9383
0.6879
0.4290
No.
of Times Switched
Ethnic ID
0.07004
- 0.28216
0.14442
0.01974
0.32773
0.14904
0.4864
Ethnic Identifications: Mexicana, Latina,
Tlapanecos, Hispana
Figure 2. Ethnically homogeneous network of a
Mexican woman in this study. Most alters in her
network are Mexican.
A diversity index (IQV) was computed
using the categories of the variable “Alter
Country of Birth” (k) . Egonet was used to
calculate the proportion of alters who
belonged to each of six ethnic/nationality
categories (p).
Index of Qualitative Variation (IQV) / Diversity Index
(Agresti and Agresti 1977)
IQV = 1 – Σ p2 / (1 – 1/k)
Where
k = number of categories of the variable
and
p = percentage of individuals in a given category
Pearson Correlation Coefficients, N = 101
Prob > |r| under H0: Rho=0
No.
of Ethnic IDs
Used
Network Ethnic 0.27273
Diversity (IQV)
No.
of Times
Switched
Ethnic ID
0.11233
0.2634
0.0058
Table 2. Correlations between network ethnic
diversity and respondents’ use of multiple ethnic
identifications
0.0043
6. Some Conclusions
0.1496
•Hypothesis confirmed– the number of
ethnic IDs used was positively correlated with
network ethnic diversity (.0058).
•People having networks where Dominicans
are the majority are less likely to switch
between ethnic IDs (.0043).
•People having networks where “Other” ethnicities
predominate are more likely to switch between
multiple ethnic IDs (.0008).
•People having networks where Americans predominate use a greater variety of ethnic IDs (.0170).
0.8447
0.0008
0.1369
Table 1. Correlations between dominant ethnicity in
respondent’s networks and their use of multiple ethnic
identifications
Acknowledgements
This project was funded by a NSF Dissertation
Improvement grant and by the National Science
Foundation Award No. BCS-0417429 to Chris
McCarty and Jose Luis Molina.
5. Ego network ethnic diversity
and the use of multiple ethnic
identifications
References
Agresti, A. and B. F. Agresti (1977) “Statistical analysis of qualitative
variation.” Pgs 204-237 in K. F. Schuessler (ed.) Sociological
Methodology 1978. SanFrancisco: Jossey-Bass.
McCarty, C. (2003) “Egonet: Software for the Collection of Egocentric
Network Data.” MDLogix.
Rossi, P.H. and S.L. Noch (1982) “Measuring Social Judgments: The Factorial
Survey Approach. Beverly Hills, CA: Sage.