dot-get.gen.index: Calculate Generalizability Index
In NUstat/generalizeR: Design a Sample Recruitment Plan and Assess Its 'Generalizability' to Broader Populations
.get.gen.index R Documentation
Calculate Generalizability Index
Description
This function is easiest to use through 'assess()' but can also be used independently.
Usage
.get.gen.index(sample_ps, pop_ps)
Arguments
sample_ps
vector of probabilities of sample membership among individuals in the sample
pop_ps
vector of probabilities of sample membership among individuals in the population
Details
It calculates the generalizability index, a value between 0 and 1, that represents how generalizable a given sample is to a given population on specified covariates. For more information on calculation and interpretation, please see Tipton (2014).
Value
the generalizability index, a value between 0 and 1, where a higher score indicates greater similarity
References
Tipton, E. (2014). How generalizable is your experiment? An index for comparing experimental samples and populations. Journal of Educational and Behavioral Statistics, 39(6), 478-501.
NUstat/generalizeR documentation built on Feb. 7, 2024, 6:39 p.m.
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| .get.gen.index | R Documentation |
Calculate Generalizability Index
Description
This function is easiest to use through 'assess()' but can also be used independently.
Usage
.get.gen.index(sample_ps, pop_ps)
Arguments
sample_ps |
vector of probabilities of sample membership among individuals in the sample |
pop_ps |
vector of probabilities of sample membership among individuals in the population |
Details
It calculates the generalizability index, a value between 0 and 1, that represents how generalizable a given sample is to a given population on specified covariates. For more information on calculation and interpretation, please see Tipton (2014).
Value
the generalizability index, a value between 0 and 1, where a higher score indicates greater similarity
References
Tipton, E. (2014). How generalizable is your experiment? An index for comparing experimental samples and populations. Journal of Educational and Behavioral Statistics, 39(6), 478-501.
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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