1. Industry
Send to a Friend via Email

Your suggestion is on its way!

An email with a link to:

http://marketresearch.about.com/od/market.research.industry-jobs/g/Market-Research-Dictionary-Index-R.htm

was emailed to:

Thanks for sharing About.com with others!

You can opt-out at any time. Please refer to our privacy policy for contact information.

Discuss in my forum

Market Research Dictionary - Index R

By

traffic lights

Remember to Stop, Look, and Listen to Your Customers When Planning Research

Brian Nunnery, photographer, Copyright September 19, 2009 Stock.xchng

Definition:

Index R contains definitions for terms such as return-on-investment, or ROI, random sampling, representative samples, regression analysis, research design, and reality augmentation.

Return-On-Investment

Return-on-investment, also commonly known as ROI, is one of several financial ratios that show how well an effort is doing in terms of the profit or revenue gained for an investment of funds. Return-on-investment is shown in terms of a percentage or ratio that measures the performance of an investment of a company’s own capital. Companies are focused on what they get for the money they spend. In other words, when capital is invested in research, especially market research as we would have it, what “value” is obtained in return.

In marketing, ROI generally is an expression of the gross profit derived from specific marketing expenses. ROI is all about what invested capital “buys” that is of value to the company spending the money. When a company pays for market research—either by paying the salaries of internal market research staff or by contracting with external market research providers—that company wants to “own” new consumer insights as a result of spending that money. In addition, the quality of those consumer insights.is important in these transactions. Generally speaking, consumer insights must be actionable to be of value.

And Now, A Few Words About Our Samples

 

A important component of a research plan is the sampling plan, which contains specific information about the sampling frame.  Two key considerations about sampling are discussed here: Representative samples and random samples.  A more comprehensive discussion of sampling may be found on Index S.

Sample selection is important in both quantitative research and qualitative research. A sample is a slice of a larger population, but it is generally a slice that is based on something known or suspected about the larger population. Samples of the larger population are selected in order to be able to say something general about the larger population— target universe—from what is learned about the sample. A research sample is constructed by using techniques and strategies that contribute to reliability and validity. Market research is based on this idea that a representative group of people can be identified and accessed in ways that permit generalization to the target population—which is too impossibly large or too expensive to include in any one research study.

Representative Samples

In market research, a representative sample refers to a group of consumers who are characterized by the same sort of traits and preferences as the larger target universe of consumers. The match between the sample and the universe must be strong for all attributes anticipated to be influential to the research outcomes.

Random Sampling

Samples that are selected through a randomizing process are referred to as random samples, and they are the gold standard in research. It is not always possible to select samples on a random basis, and it may not even be preferable for some types of research. For instance, qualitative research is generally not concerned with random sampling techniques because the data collected in qualitative research is not often subjected to statistical procedure—for which random sampling has a distinct advantage. Samples may be constructed by techniques that assign members to a particular sample. While this is rational from one perspective, it is complicated by the fact that many research conclusions are made in error because of the impact of chance (probability) in sample selection.

Other Market Research Terms

 

Reliability

 

©2014 About.com. All rights reserved.