| Literature DB >> 28769145 |
Abstract
Scholars have recognized that a recent increase in the ways citizens participate beyond the electoral arena may be a promising avenue of renewal for citizen participation. In this article we test the theory that different kinds of citizenship norms motivate some citizens to specialize in electoral-oriented activities (e.g. voting), while others specialize in non-institutionalized activities (e.g. protest). The latent class analysis of data from the U.S. Citizen, Involvement and Democracy Survey (2005) in the current study assesses how actors combine a variety of acts in their "political tool kits" of participation, and facilitates a comparison to prior findings that analyze single political behaviors. Results indicate a participatory type that specializes in non-institutionalized acts, but the group's high probability of voting does not align with the expectations in the literature. An electoral-oriented specialist type is not identified; instead, the findings show that a majority of the population is best characterized as disengaged, while a small group of all-around activists embrace all possible opportunities for political action. The actor-centered theoretical and measurement approach in this study identifies caveats to the theory that changing citizenship norms are leading to civic and political renewal. We discuss the implications of these findings for measuring different aspects of democratic (dis)engagement and participatory (in)equality.Entities:
Keywords: Citizen participation; Citizenship norms; Latent class analysis; Participatory inequality; Political participation
Year: 2016 PMID: 28769145 PMCID: PMC5511323 DOI: 10.1007/s11205-016-1364-8
Source DB: PubMed Journal: Soc Indic Res ISSN: 0303-8300
Fig. 1Mean prevalence of political acts in the United States in 2005
Source: U.S. CID Survey, n = 1001. See the “Appendix” for further survey details
LCA model fit statistics for participant types.
Source: U.S. CID 2005, n = 966
| LL | BIC (LL) | L2 | Class. Err. | |
|---|---|---|---|---|
| 1-Cluster | −5673 | 11,449 | 3961 | 0.00 |
| 2-Cluster | −4657 | 9527 | 1928 | 0.03 |
| 3-Cluster | −4505 | 9333 | 1625 | 0.05 |
| 4 |
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| 5-Cluster | −4399 | 9341 | 1413 | 0.08 |
| 6-Cluster | −4360 | 9373 | 1335 | 0.10 |
Entries are test statistics for latent class models identifying one and more clusters of respondents. Optimal model marked in bold
BIC Bayesian Information Criterion, LL log likelihood, L likelihood ratio Chi square statistic
Fig. 2Four types of political participators identified by latent class analysis
Source: Latent class analysis of U.S. CID 2005, n = 966
Fig. 3Four types of participants identified by latent class analysis parallel findings to Fig. 2, but excluding the ‘voting’ indicator from the analysis
Source: Latent class analysis of U.S. CID 2005, n = 966
Participant type characteristics: multinomial logistic regression analysis.
Source: U.S. CID 2005 (n = 911)
| Disengaged citizens | High-voting engaged participants | All-around activists | ||||
|---|---|---|---|---|---|---|
| B (SE) | Odds ratio | B (SE) | Odds ratio | B (SE) | Odds ratio | |
| Duty-based norm | −0.236** | 0.790 | 0.039 | 1.040 | −0.342** | 0.710 |
| Engaged norm | −0.532*** | 0.588 | 0.029 | 1.029 | 0.480*** | 1.617 |
| Education | −0.253*** | 0.777 | 0.457*** | 1.579 | 0.290*** | 1.337 |
| Age | −0.010* | 0.990 | −0.034*** | 0.967 | −0.002 | 0.998 |
| Male | −0.317* | 0.728 | 0.098 | 1.103 | 0.290 | 1.337 |
| Black | 0.229 | 1.258 | −0.358 | 0.699 | −0.390 | 0.677 |
| Hispanic | 0.480 | 1.616 | −0.449 | 0.638 | −0.475 | 0.622 |
| Intercept | 2.198*** | −1.128** | −2.576*** | |||
| Pseudo R2 = 0.115 | ||||||
Reference category: Mainstream participants. Entries are coefficients with standard errors in parentheses
Sign. *** p < .001;** p < .01; * p < .05
Predicted probabilities of participant types by levels of duty-based norms
| 1.5 SD below mean | 1.5 SD above mean | |
|---|---|---|
| Pr(disengaged) | 0.604 [.521, .683] | 0.469 [.387, .552] |
| Pr(mainstream) | 0.226 [.166, .298] | 0.348 [.271, .430] |
| Pr(high-voting engaged) | 0.078 [.043, .126] | 0.131 [.080, .197] |
| Pr(all-around activist) | 0.091 [.051, .150] | 0.052 [.027, .089] |
The first column of results shows the probabilities for respondents with duty-based norms scores that are 1.5 standard deviations below the mean; the subsequent column displays the probabilities for respondents with duty-based scores that are 1.5 standard deviations above the mean. 95 % confidence intervals in brackets estimated using simulation via the Clarify Stata module (Tomz et al. 2003). Probabilities for white males with other variables set at their means
Predicted probabilities of participant types by levels of engaged citizenship norms
| 1.5 SD below mean | 1.5 SD above mean | |
|---|---|---|
| Pr(disengaged) | 0.745 [.677, .804] | 0.313 [.245, .390] |
| Pr(mainstream) | 0.174 [.126, .233] | 0.367 [.289, .449] |
| Pr(high-voting engaged) | 0.06 [.033, .098] | 0.136 [.085, .203] |
| Pr(all-around activist) | 0.021 [.009, .042] | 0.184 [.112, .274] |
The first column of numbers shows the probabilities for engaged citizenship norms scores that are 1.5 standard deviations below the mean; the subsequent column displays the probabilities for citizens with engaged citizenship scores that are 1.5 standard deviations above the mean. 95 % confidence intervals in brackets estimated using simulation via the Clarify Stata module (Tomz et al. 2003). Probabilities for white males with other variables set at their means
Descriptive statistics.
Source: U.S. Citizenship, Involvement and Democracy survey
| By participator type | |||||
|---|---|---|---|---|---|
| Disengaged citizens (n = 573) | Mainstream participants (n = 232) | High-voting engaged (n = 99) | All-around activists (n = 62) | Total | |
| Duty norm (mean) | −0.05 | 0.16 | 0.07 | −0.14 | 0.01 |
| Engaged norm (mean) | −0.28 | 0.22 | 0.27 | 0.58 | −0.05 |
| Education (mean) | 2.82 | 3.44 | 4.37 | 4.16 | 3.22 |
| Age (mean) | 44.0 | 47.1 | 39.9 | 45.8 | 44.9 |
| % Male | 40.7 | 46.1 | 45.5 | 51.6 | 43.7 |
| % Black | 16.7 | 14.7 | 10.1 | 12.9 | 15.7 |
| % Hispanic | 11.7 | 8.2 | 6.1 | 4.8 | 9.6 |
See footnote 5 for further information on the duty norm and engaged norm data
LCA model fit statistics for participant types.
Source: U.S. CID 2005, n = 966
| LL | BIC(LL) | L2 | Class.Err. | |
|---|---|---|---|---|
| 1-Cluster |
| 10,217 | 3643 | 0.00 |
| 2-Cluster |
| 8357 | 1679 | 0.03 |
| 3-Cluster |
| 8167 | 1387 | 0.05 |
| 4-Cluster |
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| 5-Cluster |
| 8173 | 1186 | 0.09 |
| 6-Cluster |
| 8203 | 1113 | 0.10 |
Parallel findings to Table 1, but excluding the ‘voting’ indicator from the analysis. Entries are test statistics for latent class models identifying one and more clusters of respondents
Preferred model marked in bold
BIC Bayesian Information Criterion, LL log likelihood, L likelihood ratio Chi square statistic