Statistics for Psychologists: An Online Textbook
The materials in this online textbook are intended to facilitate the connection between standard introductory statistics concepts and their implementation in statistical software. The textbook currently includes: a summary of basic statistical methods; instructions on obtaining basic statistical output using SPSS, jamovi, and JASP; annotated output showing how to calculate and interpret the output; and summaries of how the results should be reported in APA style.
EASI: Estimation Approach to Statistical Inference
EASI is a set of fast and flexible scripts for R that implement features of estimation statistics. These scripts calculate, test, and plot confidence intervals for means, mean comparisons, and standardized effect sizes. Functions and extensions are available for different between- and within-subjects single-factor, factorial, and mixed designs and can take either raw data or summary statistics as input. Numerous tutorial examples (from my online textbook above) and examples from other textbooks are available. This R project extends the analysis options beyond what is available in the Excel spreadsheets listed below.
BASE: Basic Analytical Statistics with Excel
BASE is a collection of Excel spreadsheets that provide real-time calculations and graphs of statistics in three categories: traditional approaches to data analyses (CREATE), arelational and relational intervals for single-factor designs (ARISE), and basic estimation statistics (EASE). Depending on the purpose of the spreadsheet and analysis, they accept raw data and summary statistics input and are available for most basic research designs. Taken together, these resources provide a simple -- yet quite effective -- system that can be used in any typical introductory statistics course. In many respects, they are a precursor to the EASI project for R listed above.