The purpose of this invited paper is to show the learning disabilities field what LDbase is, why it’s important for the field, what it offers the field, and examples of how you can leverage LDbase in your own work.
CurranP. J.McGinleyJ. S.BauerD. J.HussongA. M.BurnsA.ChassinL.SherK.ZuckerR. (2014). A moderated nonlinear factor model for the development of commensurate measures in integrative data analysis. Multivariate Behavioral Research, 49(3), 214–231.
3.
HallG. J.ClarkK. N. (2023). Demystifying longitudinal data analysis using structural equation models in school psychology. Journal of School Psychology, 98, 181–205. https://doi.org/10.1016/j.jsp.2023.03.003
4.
HallG. J.van DijkW.ChowJ. C.ComellaS. (2024). Decrypting the code: Investigating a reading intervention’s impact on math problem solving and calculation fluency. https://osf.io/preprints/psyarxiv/jvyzw
5.
HallK. L.VogelA. L.HuangG. C.SerranoK. J.RiceE. L.TsakraklidesS. P.FioreS. M. (2018). The science of team science: A review of the empirical evidence and research gaps on collaboration in science. American Psychologist, 73(4), 532.
HartS. A.SchatschneiderC.ReynoldsT. R.CalvoF. E.BrownB. J.ArsenaultB.HallM. R. K.van DijkW.EdwardsA. A.SheroJ. A.SmartR.PhillipsJ. S. (2020). LDbase. http://doi.org/10.33009/ldbase
8.
LoganJ. A. R.HartS. A. (Hosts). (2021, July8). S3E3: All about that LDbase [Audio postcast episode]. In Within & between. http://www.withinandbetweenpod.com/
9.
National Institutes of Health. (2020, October29). Supplemental information to the NIH policy for data management and sharing: Selecting a repository for data resulting from NIH-supported research. NIH Grants & Funding. https://grants.nih.gov/grants/guide/notice-files/NOT-OD-21-016.html
10.
van DijkW.NorrisC. U.Al OtaibaS.SchatschneiderC.HartS. A. (2022). Exploring individual differences in response to reading intervention: Data from Project KIDS (kids and individual differences in schools). Journal of Open Psychological Data, 10(1), 2. http://doi.org/10.5334/jopd.58
11.
van DijkW.SchatschneiderC.Al OtaibaS.HartS. A. (2022). Assessing measurement invariance across multiple groups: When is fit good enough?Educational and Psychological Measurement, 82(3), 482–505.