# Evidence-based assessment/ROC Party/Template

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Receiver Operating Characteristic (aka ROC) Party, hosted at University of North Carolina :
* Call in number:
* Next Date:
Welcome to the ROC Party landing page! We will use this page to include a suggested syllabus and non project-specific material.
The bulk of the work happens in between our weekly calls, and there are several things that should happen in the coming weeks to get the most out of the party.
Following these steps makes it more likely than not that you’ll have both a deeper understanding of the concepts, and also a manuscript with at least the Methods, Results, tables and figures ready to go as soon as possible.

## Google Doc

* Draft agenda
* Attendance and Data Use Agreement tracking
* LEAD Form

## Groups

| Project | Idea | Collaborators | Canvas Link | AARF | MONS Code | Final Code | MONS Lit Review | Team Deadline for Submission |

## Suggested timeline

| Schedule | Goal for week | Logistics | Activities | Readings/Resources |
| Week 1 (2/13) | Conceptual Grounding in ROC How is it different from t-test and other traditional statistical methods in the social sciences? | Register: Dropbox Peerwise If unable to register, please contact Mian-Li Ong at mian@med.unc.edu | Read: Youngstrom (2014) “Ready to ROC” primer Assignments: Fill out ROC Planning Canvas Criterion definition (who counts as a hit, who counts as a false positive) Distractor variables (what variables will likely create false positives) Predictor variables (name of the scales) Moderator variables (anything that might change accuracy of the test) Confounds (things that we should adjust for in addition to the moderator variables) Alert areas Writing part of measures section that describes the interview. Eric has already written this so we need to reword it Fill out Author Agreement Registration Form ("AARF") Get data use agreements for every ROC participant Write IRB Proposal | "Ready to ROC" Primer Peerwise Dropbox ROC planning canvas example AARF Form Data use agreement example |
| Week 2 (2/20) | Introduction to Your Dataset What is your dataset, and what is your research question? | Post open-ended questions and logistical questions to the Talk page | Assignments: Discuss ROC Planning Canvas Read each other's group canvas, Practice with sample data from Ready to ROC Care Package Read Introduction and Discussion section of meta-analysis paper Start article search along with data analysis References within last 2 years (something new) Discuss similar scales and their psychometrics/meta analysis (something borrowed) Cite something from Carolina - something our group has done (something blue) Target is to have ~8 articles for introduction | "Considering Moderators" meta-analysis paper Levels of Reading Searches Talk page Ready to ROC Care Package APA 6th Edition ROC Paper Template ROC Primer Code (both R and SPSS) |
| Week 3 | Finalizing Dataset and Team Building Who is in your team? Which dataset are you using? | Each team should have: 1 experienced ROCStar 1 content expert 1 person familiar with dataset 1 understudy, aka. "wingman" Logistics: Deidentify data set Local data use agreement Any other permissions | Assignment: Complete ROC planning canvas Get feedback from experienced ROCStar Finalize dataset choice and team |
| Week 4 | We Are Ready to ROC All of your team should have met, and everyone should have the data! | Complete at least one pre-meeting for "meet and greet" of your team Make sure everyone has data and appropriate permissions | Assignment: Schedule large meeting call | |

## Sample ROC code

* SPSS and R primer code -- in Google Docs

## Other resources

* pROC website package
* MECCA Lab Toolkit
* Steps to install pROC on R
* ROC planning canvas example
* Technical issues related to ROC and logistic regression

## Suggested timeline

Meeting times are 6.00pm to 8.00pm. Items should be completed before meeting.

## Previous ROC parties

* Inaugural ROC Party - Summer 2015
* Second ROC Party - Summer 2016
* ROCParty@Carolina (2-13-2017 to 5-31-2017)

## Example ROC papers

* Ready to ROC