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[推荐]Qualitative Analysis
SPSSCHEN
11039 47
2006-03-24

What’s New in SPSS Text Analysis for Surveys 2.0?

SPSS Inc. developed SPSS Text Analysis for Surveys so you could unlock the value contained in responses to open-ended survey questions. We regularly enhance this product, taking into account customer suggestions, to make categorizing text responses even easier and more reliable. With the new features and enhancements available in SPSS Text Analysis for Surveys 2.0, you can:

  • Work with others by sharing project files across your organization. You can now store project files on your hard drive. The project file includes extracted results, categories, and linguistic resources, such as user-customized libraries.
  • Share categories by importing and exporting them as XML files. This enables other users to easily reuse category work in new projects that have no defined categories.
  • Categorize responses based on more complex information or filter erroneous responses by creating conditional rules for categories using extraction results and Boolean operators. If your organization has pre-existing categories, you can now recreate their rules with precision and automate them rather than administering them manually.


Create logical expressions using extraction results and Boolean operators. You can add these rules to a category to capture responses based on more complex information or to filter erroneous responses.
Click to enlarge.

  • Profile categories by overlaying reference variables onto bar charts. The screenshot below shows a category bar chart displaying results by gender.


This category bar chart shows the gender of respondents in the “capacity” category for the question “What do you like least about this portable music player?” By simply clicking on a bar, you can see the distribution of respondents by a selected reference variable.
Click to enlarge.

  • Better capture main concepts in text responses by using improved automated concept extraction
  • Gain more power for your automated classification techniques thanks to new features and settings
  • If you’re an advanced user, better refine concept extraction when using the Dictionary Editor
  • Monitor your progress by flagging responses. For example, mark responses as “complete” or “important.” This progress indicator is especially helpful if you have a long list of responses to review or if a supervisor needs to approve categorization. These “flags” can be exported.


Use flags to monitor your progress, and easily identify which responses you’ve reviewed or marked. Here, the checkered flag indicates a response that was coded correctly and completely. The red flag represents a response that was not categorized completely and requires follow-up. Flags appear next to each response, and your overall progress is indicated at the bottom of the screen.
Click to enlarge.

SPSS Text Analysis for Surveys is available for analyzing English-language text. Additional language versions are planned. Contact your local office to find out more about this product.

[此贴子已经被作者于2006-3-24 8:46:38编辑过]

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SPSSCHEN
2006-3-24 08:17:00
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SPSSCHEN
2006-3-24 08:17:00
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SPSSCHEN
2006-3-24 08:18:00
Dear Laurie:

I'd be happy to give you the name of an SPSS Text Analysis for Surveys customer willing to answer your questions and discuss their use of the product. If you want to proceed, send me an email at: storzewski@spss.com. Thank you for your interest in SPSS Text Analysis for Surveys.

Stuart Torzewski
Product Manager
SPSS Inc.
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SPSSCHEN
2006-3-24 08:18:00
SPSS links very well with the qualitative software package - Atlas.ti
Many 'mixed methods' researchers use these together. However the first
step is analysis in Atlas.ti then one can easily import data into SPSS.

Jan
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SPSSCHEN
2006-3-24 08:19:00
For qualitative research there are at least two elements.

(1) The data. I don't call them qualitative data, largely because the
quality is often low. I prefer to call them call free text, volunteered data, which
is less tendentious and prejudicial. They can be analysed by anyone who can
get hold of them, although they are rarely made available to independent
researchers. My own analyses of transcripts from other centres have found that
they frequently contain sufficient errors to misrepresent what was actually
said. In such cases, even the validity of the data is in doubt.

(2) The analysis. The common weakness is that this is rarely replicable. I
regularly read verbatim quotations and disagree with the original researchers'
coding and interpretation. When the work is about a topic in which I have
some first-hand knowledge, the interpretations which I have noted down are
often at variance with what the original researchers claim to have observed.

It very often, perhaps even usually, represents the researcher's opinion of
what was meant by respondents or subjects of observation. It is even rare to
find multiple blind coding, which I would regard as the minimum safeguard
against researcher bias.

Therefore, such 'methods' are not replicable and not trustworthy They may
represent hunches, impressions, hypotheses, guesses or the like, but they rarely
provide anything that could be called knowledge. The commonest form of
"evidence" used is verbatim quotations. Even when they are accurately recorded
and reported, all that they tell the readers is that one respondent said one
thing on one occasion - no more, and no less.

With regard to SPSS, there is now a product called Text Analysis for
Surveys. It takes the free text volunteered data and permits its analysis (a) by
statistical means and (b) by linguistic methods. I have talked to three people
who have used it. All said that they were able to gain reliable results and
insights which they believed could not have been achieved by using a pre-coded
format, or by a less replicable free text analyis method. I have not yet
used it myself, but I have a PhD student who is in the early stages of becoming
comfortable with it. Our first impressions are favourable.

I'd be grateful to hear more details from someone who has had more
experience with it than I have.

Laurie

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