R/ecls-k-atl-data.R
items_ordered_eclsk_atl.Rd
Subset of Early Childhood Longitudinal Study, Kindergarten (ECLS-K)'s Approaches to Learning Item Responses
items_ordered_eclsk_atl
An object of class matrix
(inherits from array
) with 13354 rows and 12 columns.
Items were split between being answered by Parents and Teachers.
Parents:
P4SRS10
: Keep working at something until he or she is finished?
P4SRS13
: Show interest in a variety of things?
P4SRS15
: Concentrate on a task and ignore distractions?
P4SRS18
: Help with chores?
P4SRS22
: Eager to learn new things?
P4SRS24
: Creative in work or in play?
Teachers:
T4SRS11
: Keeps belongings organized.
T4SRS14
: Shows eagerness to learn new things.
T4SRS15
: Works independently.
T4SRS21
: Easily adapts to changes in routine.
T4SRS23
: Persists in completing tasks.
T4SRS24
: Pays attention well.
The Early Childhood Longitudinal Study, Kindergarten (ECLS-K) has been subset down both the number of observations and variables. In particular, only observations without any missing values from a set of reduced variables – given above – are included. If additional data is required, please visit the data download page found in the reference section.
Parents and teachers each answered a set of survey items involving a likert scale that ranged from "1 = never" to "4 = very often" regarding the subject. Within the teacher responses, they also had the option of marking "-7 = no opportunity to observe" option, which was treated as a missing observation. To align with C++, we perform a index shift backward of 1 and, thus, make the scale "0=never" to "3=very often".
Data originated from:
NCES. (2010). Early childhood longitudinal study, kindergarten class of 1998-99 (ecls-k) kindergarten through fifth grade approaches to learning and self-description questionnaire (sdq) items and public-use data files. https://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=2010070
Data used in:
Culpepper, S. (2019). An exploratory diagnostic model for ordinal responses with binary attributes: Identifiability and estimation. Psychometrika, 84(4), 921–940. doi:10.1007/s11336-019-09683-4