Tired of reading, recording and manually coding the text responses to your surveys? Discover how to make open-end text analysis easier and more efficient. Download the white paper now.
Tired of reading, recording and manually coding the text responses to your surveys? Discover how to make open-end text analysis easier and more efficient.
Download the white paper
Gaining Full Value from Survey Text.
There are two fundamental reasons for including text responses. First,
the words respondents choose often give you new insight into their
thinking. Second, if you rely exclusively on closed-ended questions, you
are framing not only the question but also the possible answers - in
effect, constructing and interpreting reality for respondents. How
can you be sure you've gotten it right? What if you have omitted a
significant alternative response? Or what if the way a question has
been asked has skewed or biased responses?
To acknowledge these issues, it's wise to include open-ended questions
in your surveys. Previously, you may not have done more with these
responses than select one or two to illustrate trends shown in the more
easily quantified numeric data. Now, thanks to new tools for text
analysis, you can more easily derive full value from text responses.
The most effective of these new tools use the technologies of
linguistics-based text analytics.
The most important difference is that linguistics-based
text analytics is built upon a class of algorithms that analyze
the structure and meaning of the language of a text - thus enabling
computer systems to analyze the ambiguities inherent in verbal
communication. Such linguistics-based text analytics technologies
are the foundation for all IBM SPSS text analytics.
Read more in the white paper
Gaining Full Value from Survey Text.
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