Week 01: Getting Started - DATA!

Date: 08-25

Now- Science Stuff!

πŸ§‘β€πŸ”¬ πŸ’Ύ πŸ“Ž πŸ“Š

What makes science…good science?

Replication & Reproducibility

Replication: The process of applying the same methodology with a different sample and research group

Reproduction: Taking all materials from a study and coming to the same conclusions

Replication & Reproducibility 🍰

I want to bake a cake!

  1. Find a recipe online (try ignoring their life story narrative)
  2. Get ingredients (Wegmans if you πŸ’°)
  3. Follow recipe and bake πŸ§‘β€πŸ³
  4. Enjoy the delicious cake 🍽️

Replication

Replication & Reproducibility 🍰

I want to bake a cake!

Reproduction

  1. Find a recipe online –> Find their kitchen
  2. Get ingredients –> Use their ingredients
  3. Follow recipe and bake –> Watch what they do and follow
  4. Enjoy the delicious cake –> Enjoy cake (and jail for B&E)

Replication & Reproducibility πŸ“Š



Replication Reproducibility
Have a similar research question Use the same research question
Collect your own data Use their data
Follow their steps with your resources Follow their steps with their resources
Outcome: Similar results (depends on other factors) Outcome: Identical results

Replication & Reproducibility πŸ“Š

Goals of Science

Important: We want to replicate other researchers work

MOST Important: Be able to reproduce all of our results

You are your own worst collaborator!

Does this play out in the field??

Garden of Forking Paths

100 Replication Studies Adequately Powered

Original Studies:

  • Mean Effect: 0.403

  • % with p<.05: 97%

Replication Studies:

  • Mean Effect: 0.197

  • % with p<.05: 47%

What can we do about it? 🀷

 

Installing and Using R

From the course website

Modern Statistics Using R

Break Time β˜•

Or at least I hope it is around this time

Now back to the show!

Working with R-Studio

R-Studio is just like a kitchen πŸ§‘β€πŸ³

The Environment pane is the pantry/fridge

The Console is like the oven/stove

The Markdown document is the recipe

The bottom right sometimes acts as the little window on the oven where you can see things baking

Creating a Project puts these things in their place

Next Steps

  • Create a project

  • Set up a Markdown Document

  • Run and Knit the document

  • Live Example

In Class Workshop

Create a new .Rmd file and name it introduction.Rmd

In the markdown, delete everything that is unnecessary

Introduce yourself in the text portion of the document

Load tidyverse and use the starwars dataset

For full instructions, navigate to Day 1 In Class Activity

Next Week

Note

Items below are due 8/31 @ 11:59pm

πŸ“‹Lab 1 - Foundations of a Data Workflow

πŸ“–Read Chapter 1 & 2 - ST

πŸ“–Read Chapter 2 - MSR