Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 09 - Aufgabe 1 - Types of Data (quantitative vs. qualitative): Difference between revisions

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{{Quotation | All research ultimately has a qualitative grounding | [Donald Campbell] }}{{Quotation | There's no such thing as qualitative data. Everything is either 1 or 0 | [Fred Kerlinger] }}
=Definition=
===Qualitative Data===
{{Quotation | The term qualitative is used to describe certain types of information. Qualitative data are described in terms of quality (that is, 'informal' or relative characteristics such as warmth and flavour). This is the converse of quantitative, which more precisely describes data in terms of quantity and often using a numerical figure to represent something in a statement.| from Wikipedia, Nov 2008 }}


===Quantitative Data===
{{Quotation | [...] Quantitative data is data measured or identified on a numerical scale. Numerical data can be analysed using statistical methods, and results can be displayed using tables, charts, histograms and graphs. For example, a researcher will ask a questions to a participant that include words how often, how many or percentage. The answers from the questions will be numerical. [...] After the data is collected the researcher will make an analysis of the quantitative data and produce statistics.| from Wikipedia, Nov 2008 }}




You can distinct between two types of (collecting) data: ''quantitative data'' and ''qualitative data''


=Main points=
===Qualitative===
*Qualitative research involves analysis of data such as words (e.g., from interviews), pictures (e.g., video), or objects (e.g., an artifact).
*Data can be observed but not measured.
'''whereas'''
===Quantitative===
*Quantitative research involves analysis of numerical data.
*Data which can be measured.




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</table>
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{{Quotation | All research ultimately has a qualitative grounding | [Donald Campbell] }}{{Quotation | There's no such thing as qualitative data. Everything is either 1 or 0 | [Fred Kerlinger] }}
===Example for quantitative data:===
===Example for quantitative data:===
[[Image:Confpress.JPG| qualitative data]]
[[Image:Confpress.JPG| qualitative data]]
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[Donna Roberts] Qualitative vs Quantitative Data, http://www.regentsprep.org/Regents/math/ALGEBRA/AD1/qualquant.htm<br>
[Donna Roberts] Qualitative vs Quantitative Data, http://www.regentsprep.org/Regents/math/ALGEBRA/AD1/qualquant.htm<br>
[Peter Levine] http://www.peterlevine.ws/mt/archives/cat_press_criticism.html
[Peter Levine] http://www.peterlevine.ws/mt/archives/cat_press_criticism.html
http://en.wikipedia.org/wiki/Quantitative_data
http://en.wikipedia.org/wiki/Qualitative_data

Revision as of 21:25, 25 November 2008

Definition

Qualitative Data

The term qualitative is used to describe certain types of information. Qualitative data are described in terms of quality (that is, 'informal' or relative characteristics such as warmth and flavour). This is the converse of quantitative, which more precisely describes data in terms of quantity and often using a numerical figure to represent something in a statement.
from Wikipedia, Nov 2008


Quantitative Data

[...] Quantitative data is data measured or identified on a numerical scale. Numerical data can be analysed using statistical methods, and results can be displayed using tables, charts, histograms and graphs. For example, a researcher will ask a questions to a participant that include words how often, how many or percentage. The answers from the questions will be numerical. [...] After the data is collected the researcher will make an analysis of the quantitative data and produce statistics.
from Wikipedia, Nov 2008




More

some more detailed features of

Qualitative data

  • Researcher tends to become subjectively immersed in the subject matter.
  • Qualitative data is more 'rich', time consuming, and less able to be generalized.
  • Researcher is the data gathering instrument.
  • Researcher may only know roughly in advance what he/she is looking for.
 vs.

Quantitative data

  • Researcher tends to remain objectively separated from the subject matter.
  • Quantitative data is more efficient, able to test hypotheses, but may miss contextual detail.
  • Researcher uses tools, such as questionnaires or equipment to collect numerical data.
  • Researcher knows clearly in advance what he/she is looking for.

Example: Oil Painting

Qualitative data:

  • blue/green color, gold frame
  • smells old and musty
  • texture shows brush strokes of oil paint
  • peaceful scene of the country
  • masterful brush strokes

Quantitative data:

  • picture is 10" by 14"
  • with frame 14" by 18"
  • weighs 8.5 pounds
  • surface area of painting is 140 sq. in.
  • cost $300
All research ultimately has a qualitative grounding
[Donald Campbell]


There's no such thing as qualitative data. Everything is either 1 or 0
[Fred Kerlinger]


Example for quantitative data:

qualitative data

References

[James Neill] Qualitative versus Quantitative Research: Key Points in a Classic Debate, http://wilderdom.com/research/QualitativeVersusQuantitativeResearch.html
[Donna Roberts] Qualitative vs Quantitative Data, http://www.regentsprep.org/Regents/math/ALGEBRA/AD1/qualquant.htm
[Peter Levine] http://www.peterlevine.ws/mt/archives/cat_press_criticism.html http://en.wikipedia.org/wiki/Quantitative_data http://en.wikipedia.org/wiki/Qualitative_data

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