Results of multiple regression analysis predicting PA level using perceived PL attributes (N = 1945).</p
Multiple-regression analysis results for the predicted congruency of the sadness-pain words regardin...
Results of multiple regression analysis in the effect of fluency with creative production score as t...
<p>Multilevel regression results of covariates on positive and negative sentiment of replies.</p
Regression coefficients and significance levels for the multiple regression models for desirable eve...
Pearson’s Product-Moment Correlation (r) of components of perceived PL and intensity and PA domains ...
Predictors of PCS and MCS estimated by multiple imputation of multivariable linear regression analys...
<p>Note: *<i>p</i><.05, **<i>p</i><.01, ***<i>p</i><.001</p><p>Results of Multiple Regression Analys...
Multiple linear regression was used to determine the ratio of similar materials.</p
<p>Results of multiple regression analysis with reported likelihood of speaking up as outcome.</p
Multiple linear regression equations, together with the Spearman correlation coefficient and P-value...
Results of the multiple regression analysis, with naming latencies as the criterion variable and H s...
Beta, B, t, and p values for predictors for the multiple regression analysis.</p
<p>Results from the multiple regression of change in coverage of uterotonics on indicators of contac...
Results for tactile stimulation thresholds from multiple linear regression analysis.</p
Results of multiple linear regression for predicting number of non-doubt answers.</p
Multiple-regression analysis results for the predicted congruency of the sadness-pain words regardin...
Results of multiple regression analysis in the effect of fluency with creative production score as t...
<p>Multilevel regression results of covariates on positive and negative sentiment of replies.</p
Regression coefficients and significance levels for the multiple regression models for desirable eve...
Pearson’s Product-Moment Correlation (r) of components of perceived PL and intensity and PA domains ...
Predictors of PCS and MCS estimated by multiple imputation of multivariable linear regression analys...
<p>Note: *<i>p</i><.05, **<i>p</i><.01, ***<i>p</i><.001</p><p>Results of Multiple Regression Analys...
Multiple linear regression was used to determine the ratio of similar materials.</p
<p>Results of multiple regression analysis with reported likelihood of speaking up as outcome.</p
Multiple linear regression equations, together with the Spearman correlation coefficient and P-value...
Results of the multiple regression analysis, with naming latencies as the criterion variable and H s...
Beta, B, t, and p values for predictors for the multiple regression analysis.</p
<p>Results from the multiple regression of change in coverage of uterotonics on indicators of contac...
Results for tactile stimulation thresholds from multiple linear regression analysis.</p
Results of multiple linear regression for predicting number of non-doubt answers.</p
Multiple-regression analysis results for the predicted congruency of the sadness-pain words regardin...
Results of multiple regression analysis in the effect of fluency with creative production score as t...
<p>Multilevel regression results of covariates on positive and negative sentiment of replies.</p
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