DMCT_Addis_2020_PSIQ
3,220 responses from 92 respondents to 35 items.
About this table
| Description | Plymouth Sensory Imagery Questionnaire |
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| Reference | Suggate, S.P. Beyond self-report: Measuring visual, auditory, and tactile mental imagery using a mental comparison task. Behav Res 56, 8658–8676 (2024). https://doi.org/10.3758/s13428-024-02496-z |
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| DOI | 10.3758/s13428-024-02496-z |
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| Licence | MIT |
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| Source data | https://osf.io/vf27z/?view_only=43c4db49648f428c914ebdcc4e191f27 |
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Size and shape
| Responses | 3,220 |
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| Respondents | 92 |
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| Items | 35 |
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| Response categories | 11 |
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| Responses per respondent | 35 |
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| Responses per item | 92 |
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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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| sample | Educational |
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| construct type | Cognitive/educational |
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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) | ger |
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| construct name | Plymouth Sensory Imagery Questionnaire (PSIQ) |
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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 | Plymouth Sensory Imagery Questionnaire (Psi-Q) |
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| Mean words per item | 2.943 |
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| Mean characters per item | 14.429 |
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| Mean characters per response | 6.091 |
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| Flesch-Kincaid grade level | 442.433 |
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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("DMCT_Addis_2020_PSIQ")
# Python
pip install irw
import irw
df = irw.fetch("DMCT_Addis_2020_PSIQ")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse v53.0 |
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| Redivis dataset DOI | 10.57761/4g08-xt41 |
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| Manifest pin for this IRW version | v53.0 |
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| Metadata source | irw_meta v23.0 |
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