li_2026_imi_teq
12,308 responses from 362 respondents to 34 items.
About this table
| Description | Intrinsic Motivation Inventory Technology Enhanced Questionnaire (362 participants, 34 items, 7-point Likert) |
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| Licence | CC BY 4.0 |
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| Source data | https://figshare.com/articles/dataset/32766447 |
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Size and shape
| Responses | 12,308 |
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| Respondents | 362 |
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| Items | 34 |
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| Response categories | 7 |
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| Responses per respondent | 34 |
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| Responses per item | 362 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| sample | 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) | chi |
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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 | Chinese IMI-TEQ questionnaire (Intrinsic Motivation Inventory - Task Evaluation Questionnaire, items 1-22; plus 10 learning-fulfillment items and 2 system-usability items) |
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| Mean words per item | 1 |
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| Mean characters per item | 2 |
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| Mean characters per response | 2 |
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| Flesch-Kincaid grade level | -3.400 |
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Columns
cov_gendercov_regioncov_use_experienceiditemresp
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("li_2026_imi_teq")
# Python
pip install irw
import irw
df = irw.fetch("li_2026_imi_teq")
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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