SPAML
- Semantic Priming Across Many Languages
- in partnership with the Psychological Science Accelerator
- accepted in principle at Nature Human Behaviour
Folder Information
Please see readme files within in each folder for more information about individual files within each folder.
01_Ethics: This folder contains all the information about the overall Ethics from Harrisburg University. Please see https://osf.io/ycn7z/ for ethics from individual research labs.
02_Power: This folder contains the power analysis simulations for the proposal paper.
03_Materials: This folder contains the materials and translations for the languages that we ran the study in.
04_Procedure: This folder contains example versions of the experiment, and all materials for setting up the experiment on your own php enabled server. Please note that our real versions often included multiple copies of the same experiment to control for too many people taking it at once. All the data provided in this folder and scripts are run on example data.
05_Data: This folder contains the template for data processing from raw data into the analysis data. All examples provided in this folder are from example data, as the real data is too large to store on GitHub directly. Further, some SQLite files from the real data include participant numbers from places like Mturk, Respondi, etc. and these need to be excluded from final shared data.
Secondary, non-shared versions of the Procedure and Data folder are stored to run the actual analyses for data sharing after all codes have been removed.
06_Analysis: This folder contains the files that calculate descriptive statistics, hypothesis tests, and transition probabilities.
07_Manuscript: This folder contains manuscript drafts, author lists, and contributions made by each author.
08_Credit: Finalized credit information will be stored in this folder.
09_PSA_Proposal: This folder contains the original submission to the PSA. The power analyses were the same and moved to the overall power folder. Between original submission and submission to the journal, updated similarity calculations were included, and therefore, the original versions are only in this folder.
10_Presentations: This folder contains the information for presentations given about the project.
11_Grants: This folder contains information about grants we submitted to support this project.
Presentations
Buchanan, E. M., Valentine, K. D., Maxwell, N., Taylor, J. E., Montefinese, M. (2020, November). Power simulations for linguistic norm data collection. Spoken presentation at the Annual Meeting of the Psychonomic Society. Link
Buchanan, E.M., Korn, J., & Newman, M. (2020, November). Using STRUDEL to create concept-feature norms for many languages. Spoken presentation for the Annual Meeting of the Society for Computation in Psychology. Link
Grim II, P. A. & Buchanan, E.M. (2020, November). Testing the assumption of model similar- ity across languages. Spoken presentation for the Annual Meeting of the Society for Computation in Psychology. Link
Buchanan, E. M., Cuccolo, K., Lewis, S., Evans, T., Geiger, S., Ribeiro, G., Huggins, R., Ambrosini, E., Brick, C., Arriaga, P., Baker, B., Mandair, J., Montefinese, M., Szumowska, E., Verheyenm, S., Sievers, E., Pfuhl, G., Suchow, J. W., Shelton, C., Martinez, M., Baskin, E., Chin, S.-C., Barzykowski, K., Vanpaemel, W., Kuzminska, A., Mizak, S., Paterlini, J. V., Schlyfestone, A. R., Lynott, D., Taylor, J., Sigfrids, F., Levitan, C., Burin, D., Lee, S., Nwadiogo, A., Vaughn, L. A., Metz, J., Cain, J., Monteiro, L. C., Al-Hoorie, A., Vaidis, D., Neta, M., Sanders, A., Godbersen, H., Davis, W., Ruiz-Fernandez, S., Roer, J. P., & Elsherif, M. M. (2021, November). Creating a cross-referenced multi-linguistic dataset to investigate semantic priming. Spoken presentation at the Annual Meeting of the Psychonomic Society. Link
Buchanan, E. M., Cuccolo, K., Lewis, S., Evans, T., Geiger, S., Ribeiro, G., Huggins, R., Ambrosini, E., Brick, C., Arriaga, P., Baker, B., Mandair, J., Montefinese, M., Szumowska, E., Verheyenm, S., Sievers, E., Pfuhl, G., Suchow, J. W., Shelton, C., Martinez, M., Baskin, E., Chin, S.-C., Barzykowski, K., Vanpaemel, W., Kuzminska, A., Mizak, S., Paterlini, J. V., Schlyfestone, A. R., Lynott, D., Taylor, J., Sigfrids, F., Levitan, C., Burin, D., Lee, S., Nwadiogo, A., Vaughn, L. A., Metz, J., Cain, J., Monteiro, L. C., Al-Hoorie, A., Vaidis, D., Neta, M., Sanders, A., Godbersen, H., Davis, W., Ruiz-Fernandez, S., Roer, J. P., & Elsherif, M. M. (2021, November). Adaptive Algorithms for Stimuli Sampling in Cognitive Studies. Spoken presentation at the Annual Meeting of the Society for Computation in Psychology. Link
Note: We believe everyone who contributed to this project should get credit. For the 2021 presentations, we listed contributors under the Psychological Science Accelerator because conference submission systems have not caught up to big team science. E. Buchanan is the corresponding author. K. Cucculo and S. Lewis are part of the admin team. All other contributors are listed in a random order who have assisted in data processing at the time of the presentation of these two works.