rstats

Specification curve analysis (SCA) tutorial

This tutorial was presented at the University of Oregon Developmental Seminar, May 3, 2019. The repository can be found at: https://github.com/dcosme/specification-curves/ div.grey { background-color:#F5F5F5; border-radius: 5px; padding: 10px;} ❗ Please note a more recent tutorial can be found here: https://dcosme.github.io/specification-curves/SCA_tutorial_inferential background The problem: there are many different ways to test a model and we usually only report one or a few specifications. Model selection relies on choices by the researcher and these are often artbitrary and sometimes driven by a desire for significant results.

Specification curve example

I was inspired by these amazing examples of specification curves by Julia Rohrer and Amy Orben, so I wrote some code to generate a curve like this: Below is code to create a specification curve using a toy example from the airquality dataset. Enjoy! load packages library(tidyverse) library(lme4) library(MuMIn) library(cowplot) run models Run all possible nested models using the dredge function from the MuMIn package. # set na.