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Ken Frank; Guan Saw; Qinyun Lin; Ran Xu; Joshua Rosenberg; Spiro Maroulis; Bret Staudt Willet – Grantee Submission, 2025
This is a practical guide for applying the Impact Threshold for a Confounding Variable and the Robustness of Inference to Replacement using the konfound packages in Stata and R as well as the R-shiny app. It includes motivation worked examples, and tutorials.
Descriptors: Robustness (Statistics), Statistical Inference, Programming Languages, Computer Software
Peer reviewed Peer reviewed
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Harris, Heather; Horst, S. Jeanne – Practical Assessment, Research & Evaluation, 2016
Propensity score matching techniques are becoming increasingly common as they afford applied practitioners the ability to account for systematic bias related to self-selection. However, "best practices" for implementing these techniques in applied settings is scattered throughout the literature. The current article aims to provide a…
Descriptors: Statistical Analysis, Statistical Bias, Computation, Statistical Inference
Burns, Marilyn – Instructor, 1987
Alphabet Math is an investigation of the order of usage of letters in the alphabet. Children collect individual data then compare and interpret it to make inferences. The inferences are compared to analyses of larger samples. How this is done is described. (MT)
Descriptors: Data Interpretation, Elementary Education, Elementary School Mathematics, Learning Activities