score: Score CREDI response data

In jmseiden/jms_credi: JMS-CREDI Scoring

Description

This calculates the posterior density function and provides CREDI Overall, Short Form, and domain-specific scores.

Usage

score(data = NULL, reverse_code = TRUE, interactive = TRUE, min_items = 5)

Arguments

data	(data.frame) Defaults to NULL. Response data. If NULL, then user is prompted to identify a .csv file with response data. Defaults to NULL.
reverse_code	(Logical) Defaults to TRUE. If TRUE, then reverse coding is automated to appropriately handle the negatively worded items LF9, LF102, LFMH1, LFMH2, LFMH3, LFMH4, LFMH5, LFMH7, LFMH8, & LFMH9. If FALSE, then the package assumes items are already reverse coded and no changes are applied prior to scoring.
interactive	(Logical) Defaults to TRUE. If TRUE, the user may be prompted with caution messages regarding whether scoring should be continued, where to save the scores, where to save a logfile, etc. If FALSE, continuation is assumed and scores and the user is not prompted to save scores or a logfile.
min_items	(integer) Defaults to 5. The minimum number of scale-specific items (e.g., SF, MOT, etc.) required for a score to be calculated.

Details

The score function takes in data named according to CREDI conventions and requires a unique ID variables and AGE variable. Only scores with a non-missing AGE variable will be scored.

Examples

dat <- data.frame(ID = 1:3, AGE = c(3,5,4), LF1 = c(1,0,NA) , LF2 = c(0,0,0), LF3 = c(1,0,1), LF4 = c(1,1,1), LF5 = (1,0,0))

scored_dat <- score(data = NULL, reverse_code = FALSE, interactive = FALSE, min_items = 5)

#Print out domain scores:
scored_dat$scores[,c("SF", "MOT", "LANG", "SEM", "COG", "OVERALL")]
SF    MOT   LANG    SEM    COG OVERALL
1 41.204 43.489 45.968 44.626 45.091  40.079
2 42.917 42.058 45.049 43.755 44.250  38.16
#One observation did not have at least 5 items responded to, so is not included in the results

jmseiden/jms_credi documentation built on April 4, 2021, 1:38 p.m.