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Examining the Correlates of Physical Activity for Whites, Blacks and Hispanics in a National Sample: The Role of Demographics, Social Connections and Self-Efficacy
Unformatted Document Text:  8 fit indexes are relatively insensitive to variations in sample size (Maruyama, 1998). Normed fit index (NFI), non-normed fit index (NNFI), comparative fit index (CFI), incremental fit index (IFI) and standardized root mean square residual (RMR) were used to assess whether the hypothetical model fit well with the observed data. The loadings of the indicators for the endogenous latent variables, t-values and beta coefficients were examined to assess the fitness of the structural model. Standardized RMR was chosen because the residuals of the standardized measures belong to the same metric (Maruyama, 1998). NFI, NNFI, IFI, CFI compare the hypothesized model with the null/baseline model of the observed data in assessing the fitness of the model. The hypothesized model is assumed to fall between the best and worst fitting models (Bentler & Bonett, 1980; Bentler, 1990; Maruyama, 1998). Measurement and Operationalization Exogenous variables on the DDB data Gender. Gender is a dummy variable with male coded as 0 and female as 1. Age. Age is measured on a continuous scale from 1 to 6 (1= 18-24, 2=25-34, 3=25-44, 4=45-54, 5=55-64, 6=65 and over) in the structural equation model. Income. Respondent’s personal income is on a scale ranging from 1, for "Under $10,000," to 15 for "$100,000 or more." Education. Respondent’s education is measured on a scale ranging from 1, for "Attended elementary" to 7 for "Post-graduate school."

Authors: Siu, Wanda. and Doyle, Kenneth.
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8
fit indexes are relatively insensitive to variations in sample size (Maruyama, 1998). Normed
fit index (NFI), non-normed fit index (NNFI), comparative fit index (CFI), incremental fit
index (IFI) and standardized root mean square residual (RMR) were used to assess whether
the hypothetical model fit well with the observed data. The loadings of the indicators for the
endogenous latent variables, t-values and beta coefficients were examined to assess the
fitness of the structural model. Standardized RMR was chosen because the residuals of the
standardized measures belong to the same metric (Maruyama, 1998). NFI, NNFI, IFI, CFI
compare the hypothesized model with the null/baseline model of the observed data in
assessing the fitness of the model. The hypothesized model is assumed to fall between the
best and worst fitting models (Bentler & Bonett, 1980; Bentler, 1990; Maruyama, 1998).
Measurement and Operationalization
Exogenous variables on the DDB data
Gender. Gender is a dummy variable with male coded as 0 and female as 1.
Age. Age is measured on a continuous scale from 1 to 6 (1= 18-24, 2=25-34, 3=25-44,
4=45-54, 5=55-64, 6=65 and over) in the structural equation model.
Income. Respondent’s personal income is on a scale ranging from 1, for "Under $10,000," to
15 for "$100,000 or more."
Education. Respondent’s education is measured on a scale ranging from 1, for "Attended
elementary" to 7 for "Post-graduate school."


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