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A Structural Equation Model of Support for English-only Policies and Social Limitation of Immigrants and Minorities
Unformatted Document Text:  Social Limitation Structural Equation Model 17 features as a predictor variable of the other equation. In such models, the existence of feedback loops means that there is a possibility of infinite sequences of linear dependencies. A measure of the stability of these linear dependencies is the stability index. If the stability index falls between -1 and 1 then the model is stable. An unstable model is impossible; that is, wrong or based on a sample size too small to provide reliable estimates (Arbuckle & Wothke, 1999). These data were analyzed using the Analysis of Moment Structures program (AMOS, 4.0) (Arbuckle, 1999). Typically, testing a model is a two-step process. First, the measurement model is tested and then the structural model (i.e., relationships between latent factors). The measurement model is the set of connections between observed and unobserved (factors or latent) variables. Observed variables form indicators of the factors or latent variables unobserved in the process of data collection. The Measurement Model The measurement model was evaluated in two stages. First, confirmatory factor analysis assessed the presence of the latent variables in the data (i.e., Latino vitality, Anglo vitality, support for English-only, support for social limitation, language group identity, Spanish in media). After 7 iterations, principal components analysis, with Varimax rotation, extracted 7 factors accounting for 62% of the variance. The results of the factor analysis broadly conformed to expectations with observed variables loading on factors -- Spanish in the mass media, Anglo group vitality, Latino group vitality, and language identity. However, items intended as indicators of support for English only policies and support for social limitation loaded inconsistently. These findings are summarized in Table 3.

Authors: Barker, Valerie. and Giles, Howard.
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Social Limitation Structural Equation Model 17
features as a predictor variable of the other equation. In such models, the existence of
feedback loops means that there is a possibility of infinite sequences of linear
dependencies. A measure of the stability of these linear dependencies is the stability
index. If the stability index falls between -1 and 1 then the model is stable. An unstable
model is impossible; that is, wrong or based on a sample size too small to provide
reliable estimates (Arbuckle & Wothke, 1999).
These data were analyzed using the Analysis of Moment Structures program
(AMOS, 4.0) (Arbuckle, 1999). Typically, testing a model is a two-step process. First,
the measurement model is tested and then the structural model (i.e., relationships
between latent factors). The measurement model is the set of connections between
observed and unobserved (factors or latent) variables. Observed variables form
indicators of the factors or latent variables unobserved in the process of data collection.
The Measurement Model
The measurement model was evaluated in two stages. First, confirmatory factor
analysis assessed the presence of the latent variables in the data (i.e., Latino vitality,
Anglo vitality, support for English-only, support for social limitation, language group
identity, Spanish in media). After 7 iterations, principal components analysis, with
Varimax rotation, extracted 7 factors accounting for 62% of the variance. The results of
the factor analysis broadly conformed to expectations with observed variables loading
on factors -- Spanish in the mass media, Anglo group vitality, Latino group vitality, and
language identity. However, items intended as indicators of support for English only
policies and support for social limitation loaded inconsistently. These findings are
summarized in Table 3.


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