score_tesqe: score_tesqe: Score data from the Tempest Self-Regulation...

In alainapearce/kellertools: Keller Lab Data Tools

score_tesqe: Score data from the Tempest Self-Regulation Questionnaire for Eating

Description

This function scores the Tempest Self-Regulation Questionnaire for Eating for the following subscales: Avoidance of Temptations, Controlling Temptations, Distraction, Suppression, Setting Goals and Rules, and Goal Deliberation

Usage

score_tesqe(tesqe_data, parID)

Arguments

tesqe_data	a data.frame all items for the Tempest Self-Regulation Questionnaire for Eating following the naming conventions described above
parID	(optional) name of participant ID column in intake_data. If included the output dataset will be matched by parID, if not included the output dataset will be in the order of intake_data but will have no participant identifier.

Details

To use this function, the data must be prepared according to the following criteria: 1) The data must include all individual questionnaire items 2) The columns/variables must match the following naming convention: 'tesqe#' where # is the question number (1-24) 3) All questions must have the numeric value for the choice: 1 - Never, 2 - Rarely, 3 - Sometimes, 4 - Regularly, 5 - Always

Note, as long as variable names match those listed, the dataset can include other variables

Value

A dataset with a score for the Tempest Self-Regulation Questionnaire for Eating

References

De Vet E, De Ridder D, Stok M, Brunso K, Baban A, Gaspar T. Assessing self-regulation strategies: development and validation of the tempest self-regulation questionnaire for eating (TESQ-E) in adolescents. Int J Behav Nutr Phys Act. 2014;11(1):106. doi:10.1186/s12966-014-0106-z

See Also

Raw data from Qualtrics was processed using the following script: util_fbs_child_v2dat and util_fbs_child_v2dat_home

Examples

# scoring for the tesqe with IDs
tesqe_score_data <- score_tesqe(tesqe_data, parID = 'ID')

## Not run: 

alainapearce/kellertools documentation built on Feb. 25, 2024, 7:16 a.m.