| n_effective_R2 {configural} | R Documentation |
Effective sample size
Description
Estimate an effective sample size for a statistic given the observed statistic and the estimated sampling error variance (cf. Revelle et al., 2017).
Usage
n_effective_R2(R2, var_R2, p)
Arguments
R2 |
Observed R^2^ value |
var_R2 |
Estimated sampling error variance for R^2^ |
p |
Number of predictors in the regression model |
Details
n_effective_R2 estimates the effective sample size for the R^2^ value from
an OLS regression model, using the sampling error variance formula from Cohen
et al. (2003).
Value
An effective sample size.
References
Revelle, W., Condon, D. M., Wilt, J., French, J. A., Brown, A., & Elleman, L. G. (2017). Web- and phone-based data collection using planned missing designs. In N. G. Fielding, R. M. Lee, & G. Blank, The SAGE Handbook of Online Research Methods (pp. 578–594). SAGE Publications. doi:10.4135/9781473957992.n33
Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Routledge. doi:10.4324/9780203774441
Examples
n_effective_R2(0.3953882, 0.0005397923, 5)