Nominal Scale

: A measurement scale identifying variable categories. For example, male/female, user/nonuser.

Non-Random

: Occurs when probability is not a good predictor of future results because some part of the experiment is weighted.

Non-Response Bias

: Resulting error identifying a systematic difference in those who do and those who do not respond to the measurement instrument.

Omnibus Panel

: A study conducted in intervals that allow several companies to purchase a few questions on a single survey that will be administered to a large audience. The survey results for each question will be delivered to the company that posted that particular question as well as surveyed demographic information. This is also known as a piggyback survey.

Open Ended Question

: A survey question that allows the respondent an opportunity to write in the response that best answers the question for them. There are no options to choose from, so the respondent must use their own wording. Also referred to as a subjective question.

Opt-In

: A way of obtaining permission from participants so that they may be contacted in the future. Double-opt in refers to participants that sign up for a service online and are then sent an email in which they confirm to the service by responding to the email's prompts. They are essentially agreeing twice to be involved with a particular company.

Opt-Out

: A system set up so that people will continue to be contacted by the company that they signed up with until the participant chooses to terminate the relationship. At that time the respondent is able to request no further contact.

Ordinal Scale

: A scale that allows categories to be ranked in order from smallest to largest-even though the space between two categories is insignificant. Example responses might be excellent, good, fair, and poor.

Outlier

: This data is uncharacteristic of the normal distribution. It is common for this data to be removed from the results in order to prevent skewing of the means or averages. For example, 98% of the respondents purchase a particular product 4 times a week, but 2% of the respondents purchase that product 40 times a week. Researchers will remove the data of the 2% that purchased the product 40 times.

Panel

: A group of respondents that participate in multiple surveys over an extensive period of time. Respondents willing participate with the market research project in return for some compensation. Specialty panels can be created for specific samples (eg doctors, IT professionals, youth), or for specialist research and product testing. Traditionally, panels are used for a wider range of projects, including general and consumer research. There are massive panels and databases of people available for research.
Panelbook

panelbook1

Brochure

panelbook

Brochure

Presentatie

logo_slideshare

Presentatie