falih_2026_mds16
4,192 responses from 262 respondents to 16 items.
About this table
| Description | Maladaptive Daydreaming Scale-16 (MDS-16); 16 items; 0-10 scale; N=262 |
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| Reference | Falih, M. (2026). maladaptive daydreaming, depression, anxiety and stress data [dataset]. Harvard Dataverse. https://doi.org/10.7910/DVN/8YLSMK |
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| Licence | CC0 1.0 |
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| Source data | https://doi.org/10.7910/DVN/8YLSMK |
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Size and shape
| Responses | 4,192 |
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| Respondents | 262 |
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| Items | 16 |
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| Response categories | 11 |
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| Responses per respondent | 16 |
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| Responses per item | 262 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| age range | Adult (18+) |
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| measurement tool | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| primary language(s) | ara |
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Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | 16-item Maladaptive Daydreaming Scale (MDS-16) |
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| Mean words per item | 27.188 |
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| Mean characters per item | 166.750 |
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| Mean characters per response | 4.636 |
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| Flesch-Kincaid grade level | 9.514 |
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Columns
cov_agecov_agegroupcov_alcoholcov_experiencov_marital_statuscov_sexcov_smokingcov_v7_aiditemresp
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("falih_2026_mds16")
# Python
pip install irw
import irw
df = irw.fetch("falih_2026_mds16")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_3 v7.0 |
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| Redivis dataset DOI | 10.57761/pqqn-pm43 |
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| Manifest pin for this IRW version | v7.0 |
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| Metadata source | irw_meta v23.0 |
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