From 03886e5287355108373eb58b39dc8995c382cde2 Mon Sep 17 00:00:00 2001 From: Shravya Sharan <84899144+shravs7455@users.noreply.github.com> Date: Wed, 24 Aug 2022 21:13:38 -0300 Subject: [PATCH] Update Longitudinal.md --- docs/Longitudinal.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/docs/Longitudinal.md b/docs/Longitudinal.md index d977ae4..6cfe9f3 100644 --- a/docs/Longitudinal.md +++ b/docs/Longitudinal.md @@ -26,6 +26,7 @@ For cross-sectional analysis, consider the **Exploratory Data Science Standard** - [ ] uses at least two data collection waves - [ ] subjects (humans or artifacts) are identifiable between waves - [ ] justifies the data analysis strategy[3](#myfootnote3) +- [ ] reports any contextual changes for participants (units) as the study progressed - [ ] the data analysis strategy is appropriate for the interdependent nature of the data[2](#myfootnote2) - [ ] discusses the critical alpha levels or justifies Bayesian priors[4](#myfootnote4) - [ ] justifies sample size (e.g. using power analysis)[5](#myfootnote5) @@ -51,9 +52,12 @@ For cross-sectional analysis, consider the **Exploratory Data Science Standard** - [ ] either builds new theory or tests existing theory - [ ] investigates causality using the longitudinal nature of the data to establish precedence and statistically controlling for third-variable explanations - [ ] discusses potential confounding factors (for inferential analyses) that cannot be statistically controlled +- [ ] reports the years in which each wave of the data collection occurred - [ ] discusses data (in)consistency across waves (e.g. test-retest reliability) +- [ ] specifies independent variables and dependent variables at each wave of data collection. - [ ] examines differences in distributions between waves (and uses an appropriate data analysis strategy) - [ ] describes the cost of gathering data and any incentives used +- [ ] provides information on where any portions of the data have been previously published and the degree of overlap with the current report - [ ] addresses survivorship bias[8](#myfootnote8)