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)