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Data Processing

We've grouped together all the information our site contains on data processing for marketing research to help you quickly and easily find related articles, suppliers, events, jobs, associations, glossary definitions and more.

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Tags: | Coding | Data Conversion | Data Crosstabulation | Data Entry | Data Processing | Factor Analysis
| Forms Processing / Scanning | Software-Data Delivery Tools | Software-Data Tabulation | Statistical Analysis

 

Recent Articles

Below are the 5 most recent articles on this topic. These articles were published within the last three years and are only available to registered subscribers.

Comcast’s Versus channel turned to research to better understand a core audience segment
Following a rebranding of its Outdoor Life Network as Versus, which broadened its scope to include other sports, Comcast Networks conducted in-depth research to show advertisers that the channel’s core audience of outdoorsmen was as strong as ever and receptive to ad messages outside of the hunting and fishing categories.
Cracking the code of social media data analysis
While analyzing data from social media is something new to researchers, one way of extracting meaning from the data isn’t. Old-fashioned coding - with an assist from technology, of course - is an approach that can generate useful insights and bring clarity to a seemingly murky process.
Software Review: Q data analysis software
Pros: Easy graphical way to recode variables, merge categories and create filters; makes applying sig tests and statistical models to research data very easy; excellent range of use guides, help and online tutorials. Cons: output styling a little lackluster; limited support for tracking studies; U.S. support currently comes from Australia. Cost: Single-user annual license of Q Professional is $1,499. Q Basic with a reduced feature set is $849 annually. Multi-user and volume discounts available.
When your consumers are talking online, here are some tips on how to listen
User-generated content is everywhere these days. But how do you make sense of the chatter? One successful approach outlined by the author is to analyze what’s being said and use the findings as a springboard for more rigorous research.
How clear research objectives can lead a project to success
Defining research objectives at the beginning of a project can serve as a guiding light throughout the research process and help ensure that client needs are satisfied by asking the right questions to the right people the right way.

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Related Articles

There are 70 articles in our archive related to this topic. Below are 5 selected at random and available to all users of the site.

Statistics software meets Windows
This article reviews the Windows version of SPSS and Systat statistical analysis programs from the perspective of users who analyze survey and database data. It describes the programs’ strengths, weaknesses and hardware demands.
Study tracks trends in refusal rates
This article discusses the “Your Opinion Counts” National Steering Committee’s 1988 study of survey respondents’ refusal to be interviewed, providing a comparison to the benchmark study conducted in 1985.
Computers know "how" but they don't know "what"
This article points to several potential pitfalls of taking statistical software results at face value.
Minnesota Mutual charts efficient marketing with MAPS
Minnesota Mutual combined PRIZM, VALS and NFO data with existing purchasing information to develop Mortgage Audience Profiling System (MAPS), a marketing segmentation system to reach its most critical database: potential customers. With various database and segmentation information available via computer, Minnesota Mutual’s sales attempts can be that much more effective.
Discrete choice modeling: Understanding a "better conjoint than conjoint"
Since its introduction 20 years ago as an innovative new way to determine consumers’ true product and service preferences, shortcomings have been discovered with conjoint analysis. This article discusses discrete choice modeling, which was developed as an analytical technique to resolve the problems with conjoint analysis.

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Related Discussion Topics

SPSS Versus Minitab
09/28/2009 by Ian L. Straus
SPSS Versus Minitab
09/23/2009 by Wendi Odenhausen
F-K Statistic
07/29/2009 by William Bailey
Readability statistics in excel
07/29/2009 by Brian Moore
Confidence Intervals
09/18/2007 by Donald Hennenfent

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Related Events

SAWTOOTH SOFTWARE CONFERENCE 2010
October 5-8, 2010
Sawtooth Software will hold its annual research conference on October 5-8 at the Newport Beach Marriott in Newport Beach, Calif.
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