Introduction to power analysis via simulation in R

JavaScript isn't enabled in your browser, so this file can't be opened. Enable and reload.

The goal of this webinar is to provide a functional introduction to performing power analyses via simulation. Power analyses are vital tools that can provide an estimate of sample sizes required for a given experiment. There are several ways to conduct power analysis, and many good examples provided by packages and software. The benefit of simulations over these other methods is flexibility - tailoring predictions to specific experimental setups. Participants in this webinar are expected to be familiar with the R programming language and fundamental statistical tests but are not expected to have prior knowledge of power analyses or simulations. Participants will be guided through the code needed to run their own simulations and are encouraged to bring their own experiment plans for live, interactive analysis.

What is your career stage?

Undergraduate student

Masters student

PhD student

Postdoctoral researcher

Faculty

How comfortable are you with conducting your own statistical analyses?

Not at all comfortable

Somewhat comfortable

Comfortable

Very comfortable

Extremely comfortable

What sorts of tests do you typically perform or are interested in learning about power analysis for?
*

t-tests, chi-squared tests, Mann-Whitney U, Spearman’s Rank Correlation

General linear models (linear regressions, ANOVAs, ANCOVAs)

Generalized linear models

Other:

How much experience do you have using the R statistical programming language?

None whatsoever

I have only just begun to use it

I am familiar with the software and use it to conduct some of my analyses and/or figure design

I use R very regularly for analysis and/or figure design

I use R extensively for analysis, figure design and/or programming

Are you familiar with for loops and ifelse statements?

A little, but wouldn’t be comfortable writing my own

Familiar

Very familiar

Have you ever conducted a power analysis or employed other methods to estimate sample sizes prior to conducting an experiment? If so, what techniques have you used?

Not conducted any power analysis or sample size estimate before

Online calculators

pwr package in R or similar

Estimating effect size of interest

Simulations to estimate sample sizes

Other:

Are you aiming to learn about power analysis in general or do you have a specific experiment for which you would like to estimate sample sizes?

If so, what sort of data (e.g. continuous, discrete, count) will you be working with?

How many factors are you hoping to include in your analysis?

One

Two

More than two

We aim to provide the most useful learning experience for participants and would like to analyse your data live as part of the course. Would you be willing to share a data set, dummy or otherwise, with us prior to attending?

If so, please email your data set to admin@insectwelfare.com alongside a short description of your study, hypotheses and intended statistics. We cannot guarantee that we will be able to analyse your data but will do our best.

No, thank you

Yes - I will email admin@insectwelfare.com!

Submit

Clear form

Never submit passwords through Google Forms.

This form was created inside of Insect Welfare Research Society. Report Abuse

Forms