Bootstrapping is a methodology derived by Bradley Efron in the 1980s that provides a reasonable approximation to the sampling distribution of various “difficult” statistics. Difficult statistics are those where there is no mathematical theory to establish a distribution.
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Member Training: A Gentle Introduction to Bootstrapping
July 28th, 2022 by TAF Support
Member Training: Analyzing Pre-Post Data
May 31st, 2022 by TAF Support
Recommendations on how to analyze pre-post data can vary. Typical recommendations include regression analysis or matched pairs analysis for within subject studies and analysis of covariance (ANCOVA) or linear mixed effects model analysis for within and between subject studies.
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Member Training: Introduction to SPSS Software Tutorial
April 29th, 2022 by TAF Support
In this 10-part tutorial, you will learn how to get started using SPSS for data preparation, analysis, and graphing. This tutorial will give you the skills to start using SPSS on your own. You will need a license to SPSS and to have it installed before you begin.
Member Training: Analysis of Means
March 31st, 2022 by TAF Support
Analysis of Means (ANOM) is an underappreciated methodology that has relevance to quality control and institutional comparisons.
Member Training: Interrupted Time Series
February 28th, 2022 by TAF Support
Interrupted time series analysis is a useful and specialized tool for understanding the impact of a change in circumstances on a long-term trend. The data for interrupted time series is a specific type of longitudinal data and must meet two criteria.
Member Training: Heterogeneity in Meta-analysis
January 31st, 2022 by TAF Support
Meta-analysis allows us to synthesize the results of separate studies. The goal is to assess the mean effect size and also heterogeneity – how much the effect size varies across studies. (more…)