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)

[Package configural version 0.1.4 Index]