paampsmartsud_saba_2023_amps

6,000 responses from 100 respondents to 15 items.

About this table

DescriptionApplied Mindfulness Process Scale
ReferenceSaba, S. K., & Black, D. S. (2024, September 4). Psychometric Assessment of the Applied Mindfulness Process Scale (AMPS) Among a Sample in Residential Treatment for Substance Use Disorder. Retrieved from osf.io/9jgxs
DOI10.1007/s12671-023-02144-1
LicenceCC BY 4.0
Source datahttps://osf.io/9jgxs/

Size and shape

Responses6,000
Respondents100
Items15
Response categories5
Responses per respondent60
Responses per item400
Density4
LongitudinalTRUE

Classification

age rangeAdult (18+)
sampleProgram-based
construct typeAffective/mental health, Behavioral
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameApplied Mindfulness Process Scale

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentApplied Mindfulness Process Scale
Mean words per item7.133
Mean characters per item41.800
Mean characters per response4.800
Flesch-Kincaid grade level6.601

Columns

cov_alcdays_past8monthcov_aud_sud_diagnosescov_drugdays_past8monthcov_number_mh_diagnosesiditemresps_valuewave

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("paampsmartsud_saba_2023_amps")
# Python
pip install irw

import irw
df = irw.fetch("paampsmartsud_saba_2023_amps")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse v53.0
Redivis dataset DOI10.57761/4g08-xt41
Manifest pin for this IRW versionv53.0
Metadata sourceirw_meta v23.0