Winning Award For Volunteer Work At The DFW AMA
Friday, June 25, 2010| by Michaela Mora | ![]() |
We’re glad to announce that the team of volunteers in the Market Research Committee of the American Marketing Association Chapter for the DFW (DFW AMA) won the Volunteer of the Month Award in June, 2010. Michaela Mora, the founder and president of Relevant Insights, is the Director of the Market Research committee.
The DFW AMA is a very active chapter and is driven by its mission to educate, support and enhance the performance of marketing professionals in the DFW Metroplex. In this year alone, under the presidency of Michelle Lemire, the chapter has conducted more than 60 events. The attendance is up by 37% for the Dallas luncheons, 47% for the Fort Worth luncheons and 77% for the Special Interest groups (SIGs).
“The DFW AMA is always eager to get feedback from its members and monitors satisfaction and interests at all chapter events, so we do a lot of surveys! My team helps to gather data, analyze it and provide insights on how the chapter can do better,” Michaela said.
Congratulations to Michaela Mora, Pat Billup, and Evelyn Yang!
| by Michaela Mora | ![]() |

The World Cup in South Africa is getting American soccer fans excited. There are already about 19 million people who have played soccer in the last 12 months. The latest data from Experian Simmmons show that a similar number of people played soccer and American football in the last 12 months.
Hispanics show the highest participation not only in soccer, but also in basketball and American football.

To learn why Americans call it soccer check:
To learn more about our consumer data service visit Consumer Shopping Behavior Insights. To request consumer shopping behavior data and insights don’t hesitate to contact us.
| by Michaela Mora | ![]() |
According to the latest data from Experian Simmmons, only nearly 20% reclyce used batteries. This may be indicatitce of either lower awareness of how harmful batteries can be to the environment or that it is very inconvenient to recycle them.
The most often recycled items are:

To learn more about our consumer data service visit Consumer Shopping Behavior Insights. To request consumer shopping behavior data and insights don’t hesitate to contact us.

I recently got an inquiry from a SurveyGizmo user asking about what response rate he could expect from using this online survey tool. Fortunately for any online survey tool, including SurveyGizmo, response rates to online surveys don’t depend on the survey tool you use.
First let’s distinguish between response rates, incidence rates, completion rates and non-response. They are related, but not the same, and some clients use these concepts interchangeably, which lead to confusion in sample size and cost estimations.
Response rates are usually calculated based on the number of respondents who attempt to participate in a survey, even if they are disqualified after they have been screened with certain questions. If we send a survey invitation to a sample size of 100 people and only 5 attempt to take the survey, then the response rate would be 5%. Response rates have been used for years as indicators of data accuracy, however recent research has indicated that lower response rates don’t necessarily mean low quality data.
Response rates are affected by:
Incidence rates are based on the number of respondents that qualify for a study based on certain screening criteria. For example, if we need a sample of females in the general population without any other requirements, the incidence rate is expected to be 50% since half of the population are women. Incidence rates will vary depending on who we are targeting with the study.
Response rates are often used to indicate the number of completed surveys, but I think it is worth to make the distinction between response rates and completion rates since this has methodological and cost implications ( e.g. when we need to purchase sample from online panel providers).
Completion rates indicate how many people who qualified for the study completed the survey. If they enter the survey, answer some questions and then abandon the survey, they will be counted as incompletes and are usually excluded from the final data. The number of incompletes increases when:
Non-response occurs when we fail to get a response from the total sample either because respondents refuse to participate in the survey or they start but never complete it. If non-responses follow a pattern that systematically excludes a particular segment of the sample, they introduce what it calls selection bias, which will prevent us from getting a representative sample of opinions in the population of interest. Nonrespondents are often different from respondents, so their absence in the final sample can make it difficult to generalize the results to the overall target population.
In short, regardless of the survey tool you use, you can improve response rates and completion rates if you avoid most of the problems mentioned above.
To learn more about our consumer data service visit Consumer Shopping Behavior Insights. To request consumer shopping behavior data and insights don’t hesitate to contact us.