Standardized Scores using Norms
std_scores_using_norms.RdReturns standardized scores by calculating (raw_score - mean) / sd. Means
and standard deviations are given in the m_sd argument, and must be dependent
on age, with the option to also depend on sex, and education.
Arguments
- raw_scores
Numeric vector of raw scores
- var_name
String with name of the variable. Used to get correct means and standard deviations, or regression coefficients.
- education
Numeric vector with years of education. Used for subset of variables only.
- age
Numeric vector with ages in years
- sex
Character vector with sex of participants. Must be either "m" (for male) or "f" (for female). Used for subset of variables only
- m_sd
data.frame or tibble with means and standard deviations to use for standardizing the raw scores. Should also include columns for age group, education group, and sex (if desired). For examples, see entries in normative_summaries.