Hello everyone,

I wanted to provide a quick update on where we are on the Retirement Income Style Awareness ™ (RISA) investigation.

There was a pause in the action after the deadline because I took my summer break and we moved our offices in Virginia- we are still in McLean (only a mile from our previous place). Plus, the team was spent putting the launch together and we all benefitted from a brief respite.

When the dust settled, we began the data analysis. The participation rate was fantastic. The total sample size was about 1,400 people with a little over 1,000 full completions. Thank you!

Highlights from the Data

Male: 1,143 Female: 335

Partner status
Married: 1,270 Single: 208

Retirement Cohort (top 3)
Less than 5yrs retired: 470
More than 10 yrs FROM retirement: 425 
More than 5 yrs from retirement: 171

Age Range (top 3)
59-64: 460
65-70: 385
53-58: 267

Participant Type
Individual: 1,214
Advisor: 264

This sample is quite large and will allow us to do all of our intended analysis with quite a bit of rigor. In addition, we will be able to do split-sample testing which will further increase the confidence we have in our findings.

Over the last two weeks, we have been running what is known as exploratory factor analysis (EFA). What we effectively do here is put all of our questions into one big hopper, shake up the dataset (very technical term ????), and see if the EFA is able to identify clusters of questions that match our hypothesized factors.

The clusters indicate that the questions within the cluster are identifying a ‘latent” factor. If the questions cluster based on how we envisioned they would (by our hypothesized factor-like Safety-First), then we can actually say that we are creating a tool that is able to identify the underlying. Exciting times.

Frankly, many assumptions in our field do not reach this level of analysis. Instead, practitioners end up talking about matters of their opinion like if they were matters of fact.

To avoid the overwhelm, I will discuss what our findings are indicating in the next entry.

Retirement Researcher is a SEC registered investment adviser. The content of this publication reflects the views of Retirement Researcher (RR) and sources deemed by RR to be reliable. There are many different interpretations of investment statistics and many different ideas about how to best use them. Past performance is not indicative of future performance. The information provided is for educational purposes only and does not constitute an offer to sell or a solicitation of an offer to buy or sell securities. There are no warranties, expressed or implied, as to accuracy, completeness, or results obtained from any information on this presentation. Indexes are not available for direct investment. All investments involve risk.

The information throughout this presentation, whether stock quotes, charts, articles, or any other statements regarding market or other financial information, is obtained from sources which we, and our suppliers believe to be reliable, but we do not warrant or guarantee the timeliness or accuracy of this information. Neither our information providers nor we shall be liable for any errors or inaccuracies, regardless of cause, or the lack of timeliness of, or for any delay or interruption in the transmission there of to the user. RR only transacts business in states where it is properly registered, or excluded or exempted from registration requirements. It does not provide tax, legal, or accounting advice. The information contained in this presentation does not take into account your particular investment objectives, financial situation, or needs, and you should, in considering this material, discuss your individual circumstances with professionals in those areas before making any decisions.