Scalco17: Correlation Matrices from Scalco et al. (2017)
In metaSEM: Meta-Analysis using Structural Equation Modeling
Scalco17 R Documentation
Correlation Matrices from Scalco et al. (2017)
Description
The data set includes correlation matrices using the theory of planned
behavior to predict organic food consumption reported by Scalco17 et al. (2017).
Usage
data(Scalco17)
Details
A list of data with the following structure:
- data
A list of correlation matrices. The variables are
ATT (attitude), SN (subjective norm), PBC
(perceived behavior control), BI (behavioral intention), and BEH (behavior)
- n
A vector of sample sizes
- Age
A vector of the mean age of the samples
- Female
A vector of the percentage of the female samples
Source
Scalco, A., Noventa, S., Sartori, R., & Ceschi, A. (2017). Predicting organic food consumption: A meta-analytic structural equation model based on the theory of planned behavior. Appetite, 112, 235-248.
Examples
data(Scalco17)
metaSEM documentation built on Sept. 30, 2024, 9:21 a.m.
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| Scalco17 | R Documentation |
Correlation Matrices from Scalco et al. (2017)
Description
The data set includes correlation matrices using the theory of planned behavior to predict organic food consumption reported by Scalco17 et al. (2017).
Usage
data(Scalco17)Details
A list of data with the following structure:
- data
A list of correlation matrices. The variables are ATT (attitude), SN (subjective norm), PBC (perceived behavior control), BI (behavioral intention), and BEH (behavior)
- n
A vector of sample sizes
- Age
A vector of the mean age of the samples
- Female
A vector of the percentage of the female samples
Source
Scalco, A., Noventa, S., Sartori, R., & Ceschi, A. (2017). Predicting organic food consumption: A meta-analytic structural equation model based on the theory of planned behavior. Appetite, 112, 235-248.
Examples
data(Scalco17)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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