Datasets
Standard Dataset
MODD
- Citation Author(s):
-
SeanMullen
YuanSunXuanLin - Submitted by:
- Xuan Lin
- Last updated:
- Fri, 04/25/2025 - 00:01
- DOI:
- 10.21227/xbtz-2g96
- License:
4 Views- Categories:
- Keywords:
Abstract
This dataset supports the findings of the study evaluating a novel programmable system (MODD) for assessing and training cognitive-motor integration in young adults. The files include processed SPSS data (.sav format) for three MODD tasks—Go-NoGo (gng_wide.sav), Memory Task (mt_wide.sav), and X-Task (x_wide.sav)—alongside a consolidated cognitive test dataset (MODD_Cognitive data.sav) containing performance metrics across standardized tasks including Stroop, Sternberg, and Dual Task. These data enable replication of reported correlation analyses and facilitate future modeling of cognitive-motor behavior.
This dataset contains SPSS-formatted data used to assess cognitive-motor integration through a programmable system called the Motion Detection Device (MODD). The integrated `.sav` file includes performance metrics from Go-NoGo, Memory, and X Tasks on the MODD, as well as standardized cognitive tasks including Stroop, N-Back, Sternberg, and Dual Task paradigms.
Instructions:
- Open the `.sav` file in IBM SPSS or convert it to .csv using SPSS export options.
- Each row corresponds to one participant (N = 10).
- Task-specific variables are labeled with detailed descriptions in the Variable View.
- Missing values have been imputed using linear regression (SPSS 28).
- Use variable groupings (Go-NoGo, Memory Task, X Task, etc.) to replicate correlation and descriptive analyses as reported in the companion publication.
This dataset is ideal for researchers exploring embodied cognition, dual-task cost, and cognitive-motor modeling. For reuse, please credit the authors and cite the associated IEEE paper.
For questions or collaboration, contact the corresponding author.
Documentation
| Attachment | Size |
|---|---|
 README MODD Cognitive-Motor Dataset.txt | 1.74 KB |
