35 research outputs found

    Correlations among the 6 latent variables retained for the Structural Equation Modeling.

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    <p><i>Note</i>. All correlations <i>except</i> those enclosed in parentheses are significant (). The bivariate correlations between acceptance of vaccinations and the Free Market and Conservatism predictors, respectively, were small and non-significant. See text for explanation why those predictors were nonetheless significant in the SEM model (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0075637#pone-0075637-g002" target="_blank">Figure 2</a>).</p

    Frequency distributions of the single-indicator composite scores for all 6 constructs.

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    <p>Each histogram shows the distribution across subjects of the single-indicator scores. Each variable represents the average responses across the constituent items on the 5-point from ‘Strongly Disagree’ (1) to ‘Strongly Agree’ (5), with ‘Neutral’ representing the midpoint.</p

    Questionnaire items used in the survey and their short names.

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    <p>Questionnaire items used in the survey and their short names.</p

    Distribution of responses to survey items.

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    <p><i>Note</i>. Table entries are numbers of responses (and percentages). See <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0075637#pone-0075637-t001" target="_blank">Table 1</a> for wording of items.</p

    Model Fit Statistics and Indices Associated with the Single-Factor Measurement Models.

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    <p><i>Notes</i>. single-factor model with one correlated residual between the <i>CNatFluct</i> and <i>HumansInsign</i> items (; see Table 0 for explanation of variable names); single-factor model with one correlated residual between the <i>GMdamageEnv</i> and <i>GMdangerous</i> items (); single-factor model with one correlated residual between the <i>VaxNegSide</i> and <i>VaxRiskyVax</i> items (); single-factor model with two correlated residuals: one between the <i>PRepub</i> and <i>PMediaLeft</i> items (), and one between the <i>PCommunismFailed</i> and <i>PSocialismOK</i> items (); single-factor model with one correlated residual between the <i>FMUnresBest</i> and <i>FMMoreImp</i> items (); no correlated residuals were added to this single-factor model.</p

    Descriptive Statistics Associated with Indicator Composite Scores.

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    <p><i>Note.</i> Composite scores are means across items on the 5-point scale. corresponds to the loading of a single-indicator manifest variable on its factor. refers to the error variance of each single-indicator latent variable. For comparison, the corresponding Cronbach's 's for the Climate, GM Food, Vaccines, Conservatism, Free Market, and Conspiracist composite scores were estimated at .781, .807, .778, .774, .667, and .842, respectively.</p

    Structural Equation Model summarizing the data (Model 1).

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    <p>All links and correlations shown are standardized and significant; all except the link between Conservatism and Vaccinations; , . Manifest variables and their loadings, and disturbances on endogenous factors, are not shown. Links between latent variables that are not shown are constrained to zero. Loadings and variances of single-indicator manifest variables are not shown and are reported in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0075637#pone-0075637-t002" target="_blank">Table 2</a>.</p

    ANOVA results for Experiment 1.

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    <p>ANOVA results for Experiment 1.</p

    Predicted response in Experiment 2 from linear regression of observed data.

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    <p> Blue dashed line with triangles represents control group, red solid line with circles represents group receiving misinformation-only intervention, purple dotted line with diamonds represents group receiving inoculation-only intervention, green dot-dashed line with squares represents group receiving inoculation plus misinformation. Horizontal axis represents free-market support where 1 corresponds to strong disagreement with unregulated markets and 5 corresponds to strong agreement with unregulated markets. (a) Perceived scientific consensus on AGW. (b) Acceptance of AGW. (c) Attribution of human activity to global warming trends. (d) Support for climate policy.</p
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