Another dataset from the metaSEM package. — cooke16 • bayesianmasem

The data set includes 34 correlation matrices on the how well the theory of planned behaviour predicts alcohol consumption (Cooke et al. 2016) . We adjusted the third correlation matrix to the nearest valid correlation matrix. Data and documentation copied over from the metaSEM package (Cheung 2015) .

Usage

cooke16

Format

`cooke16`

A list of data with the following structure:

data: A list of correlation matrices. The variables are SN (subjective norm), ATT (attitude), PBC (perceived behavior control), BI (behavioral intention), and BEH (behavior).
n: A vector of sample sizes
MeanAge: Mean age of the participants except for Ajzen and Sheikh (2013), which is the median age, and Glassman, et al. (2010a) to Glassman, et al. (2010d), which are based on the range of 18 to 24.
Female: Percentage of female participants.

Source

https://cran.r-project.org/web/packages/metaSEM/index.html

References

Cheung MW (2015). “metaSEM: An R Package for Meta-Analysis using Structural Equation Modeling.” Frontiers in Psychology, 5(1521). doi:10.3389/fpsyg.2014.01521 .

Cooke R, Dahdah M, Norman P, French DP (2016). “How well does the theory of planned behaviour predict alcohol consumption? A systematic review and meta-analysis.” Health Psychology Review, 10(2), 148–167. ISSN 1743-7199, 1743-7202, doi:10.1080/17437199.2014.947547 .

Examples

if (FALSE) { # \dontrun{
model_syntax <- paste(
  "BI ~ ATT + SN + PBC",
  "BEH ~ PBC + BI",
  sep = "\n"
)
bmasem(model_syntax, sample_cov = cooke16$data, sample_nobs = cooke16$n)
} # }