Event Phone: 1-610-715-0115

Cancellation Policy: If you cancel your registration at least two weeks before the course is scheduled to begin, you are entitled to a full refund (minus a processing fee of $50).

In the unlikely event that Statistical Horizons LLC must cancel a seminar, we will do our best to inform you as soon as possible of the cancellation. You would then have the option of receiving a full refund of the seminar fee or a credit towards another seminar. In no event shall Statistical Horizons LLC be liable for any incidental or consequential damages that you may incur because of the cancellation.

A 4-Day Livestream Seminar Taught by Daniel Lakens, Ph.D

Data collection is often costly and time-consuming. It is essential, then, to carefully consider how much data you will need to collect in order to answer your research questions. In this workshop, we will learn how to determine how much data are needed to achieve: (i) accurate estimates, (ii) informative tests of hypotheses, and (iii) optimally efficient decision making, based on the available data. Starting from the pragmatic understanding that resources are limited, throughout the workshop we will strongly focus on how to answer research questions as efficiently as possible.

We will learn how to justify the sample size to test for the presence, as well as the absence, of meaningful effect sizes, how to plan for accurate estimates, the difference between an a-priori, compromise, or sensitivity power analysis, and how to control error rates when making decisions based on limited amounts of data.

Collecting insufficient data means you will be unable to answer your research questions. On the other hand, collecting too much data wastes resources. Simply put, determining how much data to collect is made difficult by a number of uncertainties. An important aspect of this workshop is to provide you with the tools to make informed decisions about how much data you need to collect in the face of these uncertainties. These decisions are guided by a principled sample size justification that you can communicate to reviewers of manuscripts and grant proposals, or to managers to justify the costs of data collection.

In other instances, you have no control over the amount to data that is available–for example, analyses of existing datasets, when the data collection has been determined by someone else, or because resource limitations dictate how much data can be collected. In these situations, you will need to evaluate which questions you can answer with the available data. We will extensively discuss these common scenarios and provide you with tools to decide whether or not to move forward with a research project given the available data.

Attendees will learn common heuristics used to determine how much data to collect, and the instructor will review best practices.

Through hands-on exercises, this seminar will review a wide range of free tools to determine required sample size.