SF12_nomiss: SF12 dataset without missing responses

In MLCIRTwithin: Latent Class Item Response Theory (LC-IRT) Models under Within-Item Multidimensionality

Description

This data set contains the responses of 493 oncological patients to 12 ordinal polytomous items that measure the health-related quality of life, according to the Italian release of Short-Form 12 version 2 (SF-12v2); patient's age is also provided.

Usage

data(SF12)

Format

A dataframe with 493 observations on 12 items and one covariate:

Y1

general health

Y2

limits in moderate activities

Y3

limits in climbing several flights of stairs

Y4

accomplished less than he/she would like, as a result of his/her physical health

Y5

limited in the kind of work or daily activities, as a result of his/her physical health

Y6

accomplished less than he/she would like, as a result of his/her emotional health

Y7

did work less carefully than usual, as a result of his/her emotional health

Y8

how much did pain interfere with normal work

Y9

how much of the time have he/she felt calm and peaceful

Y10

how much of the time did he/she have a lot of energy

Y11

how much of the time have he/she felt downhearted and depressed

Y12

how much of the time physical health or emotional health interfered with social activities

age

age of the respondent

Details

All items have 5 response categories, with the exception of items Y2 and Y3 having 3 response categories: the minimum value 0 correspond to a low level of quality of life, whereas the maximum value corresponds to a high level of quality of life. All records are complete.

References

Ware, J., Kosinski, M., Turner-Bowker, D. and Gandek, B. (2002), SF-12v2. How to score version 2 of the SF-12 health survey, QualityMetric Incorporated: Lincoln.

Examples

 data(SF12_nomiss)
 dim(SF12_nomiss)
 ## maybe str(SF12_nomiss)
 str(SF12_nomiss)
 

MLCIRTwithin documentation built on Sept. 30, 2019, 5:04 p.m.