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What is DESCRIPTIVE KNOWLEDGE? What does DESCRIPTIVE KNOWLEDGE mean? DESCRIPTIVE KNOWLEDGE meaning
What is DESCRIPTIVE KNOWLEDGE? What does DESCRIPTIVE KNOWLEDGE mean? DESCRIPTIVE KNOWLEDGE meaning
Published: 2016/10/08
Channel: The Audiopedia
Lesson 3 - What is Descriptive Statistics vs Inferential Statistics?
Lesson 3 - What is Descriptive Statistics vs Inferential Statistics?
Published: 2016/03/09
Channel: mathtutordvd
Descriptive knowledge
Descriptive knowledge
Published: 2016/01/22
Channel: WikiAudio
Descriptive Statistics, Part 1
Descriptive Statistics, Part 1
Published: 2013/08/26
Channel: The Doctoral Journey
Introduction to Descriptive Statistics
Introduction to Descriptive Statistics
Published: 2013/06/13
Channel: Teresa Johnson
The Basics: Descriptive and Inferential Statistics
The Basics: Descriptive and Inferential Statistics
Published: 2010/07/06
Channel: statslectures
Descriptive vs. Normative
Descriptive vs. Normative
Published: 2013/08/26
Channel: John Paulett
Descriptive and Explanatory Research
Descriptive and Explanatory Research
Published: 2016/01/22
Channel: Yolanda Anderson
Introduction to Psychology: Introduction To Descriptive Research
Introduction to Psychology: Introduction To Descriptive Research
Published: 2014/05/13
Channel: Brooke Miller
Sampling Distribution - Intro to Descriptive Statistics
Sampling Distribution - Intro to Descriptive Statistics
Published: 2015/02/23
Channel: Udacity
Descriptive Knowledge
Descriptive Knowledge
Published: 2015/07/04
Channel: Rajiv Rajan
Sample Descriptive Essay Presentation
Sample Descriptive Essay Presentation
Published: 2015/02/01
Channel: Sibongile B.N. Lynch
Writing a Descriptive Paragraph
Writing a Descriptive Paragraph
Published: 2011/04/26
Channel: LearningEngineer.com
Descriptive Research methods
Descriptive Research methods
Published: 2015/09/04
Channel: Granby High School AP Psychology
Descriptive Research
Descriptive Research
Published: 2016/09/16
Channel: Jennifer Klingeman
Descriptive Statistics - Graphical Approaches
Descriptive Statistics - Graphical Approaches
Published: 2015/06/30
Channel: Introduction to Data Analytics
McDonald
McDonald's - Intro to Descriptive Statistics
Published: 2015/02/23
Channel: Udacity
Lesson #4 - Descriptive and Correlational Research
Lesson #4 - Descriptive and Correlational Research
Published: 2015/08/07
Channel: Caleb Snell
Comparing Descriptive, Correlational, and Experimental Studies
Comparing Descriptive, Correlational, and Experimental Studies
Published: 2014/06/06
Channel: Brooke Miller
True or Not? - Intro to Descriptive Statistics
True or Not? - Intro to Descriptive Statistics
Published: 2015/02/23
Channel: Udacity
Descriptive and prescriptive grammar
Descriptive and prescriptive grammar
Published: 2016/03/22
Channel: Language at UWE
Descriptive Stats with Mode (8)
Descriptive Stats with Mode (8)
Published: 2016/07/12
Channel: Becky Moening
topic 4 Descriptive statistics
topic 4 Descriptive statistics
Published: 2017/09/19
Channel: Kiong Lim Yew
Derpwell
Derpwell's Vault of Napoleonic Knowledge descriptive video
Published: 2012/08/14
Channel: Bartholomew Derpwell
Descriptive Writing: Cluster Organizer
Descriptive Writing: Cluster Organizer
Published: 2016/09/25
Channel: Kathryn Nieves
Descriptive vs Inferential Statistics
Descriptive vs Inferential Statistics
Published: 2012/04/30
Channel: h2omang
understanding descriptive studies
understanding descriptive studies
Published: 2017/09/27
Channel: Rachel Hull
7.3 Electron Affinity, Electronegativity, and Descriptive Chemistry
7.3 Electron Affinity, Electronegativity, and Descriptive Chemistry
Published: 2017/06/13
Channel: ChemistryPrep
Methods and Statistics: Distributions and Descriptive Statistics Part II
Methods and Statistics: Distributions and Descriptive Statistics Part II
Published: 2014/09/08
Channel: East Tennessee State University
Wrap Up - Measures of Center - Intro to Descriptive Statistics
Wrap Up - Measures of Center - Intro to Descriptive Statistics
Published: 2015/02/23
Channel: Udacity
Younger than 20 - Intro to Descriptive Statistics
Younger than 20 - Intro to Descriptive Statistics
Published: 2015/02/23
Channel: Udacity
Descriptive Writing
Descriptive Writing
Published: 2012/04/30
Channel: Admin
Mark Z the Outlier - Intro to Descriptive Statistics
Mark Z the Outlier - Intro to Descriptive Statistics
Published: 2015/02/23
Channel: Udacity
Ssc Mts descriptive exam letter Writing (Cgl/ Chsl) Part-9
Ssc Mts descriptive exam letter Writing (Cgl/ Chsl) Part-9
Published: 2018/01/20
Channel: SouL MaTes
Jelly Beans - Intro to Descriptive Statistics
Jelly Beans - Intro to Descriptive Statistics
Published: 2015/02/23
Channel: Udacity
Online Stats - Part 2 - Descriptive Statistics
Online Stats - Part 2 - Descriptive Statistics
Published: 2017/09/18
Channel: Dave McEvoy
Descriptive Analysis
Descriptive Analysis
Published: 2015/10/17
Channel: Gustatec
Sleep and Memory - Intro to Descriptive Statistics
Sleep and Memory - Intro to Descriptive Statistics
Published: 2015/02/23
Channel: Udacity
Landmines - Intro to Descriptive Statistics
Landmines - Intro to Descriptive Statistics
Published: 2015/02/23
Channel: Udacity
Descriptive Statistics - Visual Methods (Continuation)
Descriptive Statistics - Visual Methods (Continuation)
Published: 2017/08/25
Channel: Patrick Valentin
Randomness - Intro to Descriptive Statistics
Randomness - Intro to Descriptive Statistics
Published: 2015/02/23
Channel: Udacity
One Dimension - Intro to Descriptive Statistics
One Dimension - Intro to Descriptive Statistics
Published: 2015/02/23
Channel: Udacity
SSC MTS 2016 ADMIT CARD OUT FOR PAPER-II  (DESCRIPTIVE PAPER)/KNOW DETAILS
SSC MTS 2016 ADMIT CARD OUT FOR PAPER-II (DESCRIPTIVE PAPER)/KNOW DETAILS
Published: 2018/01/19
Channel: DEEKSHAA STUDY CENTRE
Descriptive Analysis Overview
Descriptive Analysis Overview
Published: 2017/05/16
Channel: Brad Cannell
Writing Paragraphs - Descriptive Paragraphs
Writing Paragraphs - Descriptive Paragraphs
Published: 2013/11/05
Channel: William Drewnowski
Descriptive Statistics
Descriptive Statistics
Published: 2017/09/20
Channel: Stats Teacher
Where Students Are From - Intro to Descriptive Statistics
Where Students Are From - Intro to Descriptive Statistics
Published: 2015/02/23
Channel: Udacity
Unpopular - Intro to Descriptive Statistics
Unpopular - Intro to Descriptive Statistics
Published: 2015/02/23
Channel: Udacity
Find the Mean - Intro to Descriptive Statistics
Find the Mean - Intro to Descriptive Statistics
Published: 2015/02/23
Channel: Udacity
Descriptive Statistics Part II- Understanding Variability and Z Scores
Descriptive Statistics Part II- Understanding Variability and Z Scores
Published: 2017/11/15
Channel: Medicoapps
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WIKIPEDIA ARTICLE

From Wikipedia, the free encyclopedia
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Descriptive knowledge, also declarative knowledge or propositional knowledge, is the type of knowledge that is, by its very nature, expressed in declarative sentences or indicative propositions. This distinguishes descriptive knowledge from what is commonly known as "know-how", or procedural knowledge (the knowledge of how, and especially how best, to perform some task), and "knowing of", or knowledge by acquaintance (the knowledge of something's existence).

The difference between knowledge and beliefs is as follows: A belief is an internal thought or memory which exists in one's mind. Most people accept that for a belief to be knowledge it must be, at least, true and justified. The Gettier problem in philosophy is the question of whether there are any other requirements before a belief can be accepted as knowledge.

The article epistemology discusses the opinion of philosophers on how one can tell which beliefs constitute actual knowledge.

Acquiring knowledge[edit]

People have used many methods to try to gain knowledge.

  1. By participation.
  2. By acquisition.
  3. By reason and logic (perhaps in cooperation with others, using logical argument).
  4. By mathematical proof.
  5. By the scientific method.
  6. By the trial and error method.
  7. By applying an algorithm.
  8. By learning from experience.
  9. By intuition (getting them from the subconscious).
  10. By an argument from authority, which could be from religious, literary, political, philosophical or scientific authorities.
  11. By listening to the testimony of witnesses.
  12. By observing the world in its "natural state"; seeing how the world operates without performing any experiments.
  13. By acquiring knowledge that is embedded in one's language, culture, or traditions.
  14. By dialogical enquiry (conversation). See Gadamer, Bohm, Habermas, Freire, on dialogue, learning and knowledge acquisition/negotiation: http://www.infed.org/biblio/b-dialog.htm
  15. By enlightenment following a period of meditation. (For example, the Buddhist enlightenment known as bodhi)
  16. By divine illumination, prayer or revelation from a divine agency.
  17. By the Word of Knowledge – specific knowledge about a person that precedes a miracle healing, well-documented among Charismatic Christians especially since the rise of social media.
  18. By direct perception (examples: Gibson's theory of vision, Sufi theory of learning[1])

Types of knowledge[edit]

Knowledge can be classified upon a priori knowledge, which is obtained without needing to observe the world, and a posteriori or empirical knowledge, which is only obtained after observing the world or interacting with it in some way.

Often knowledge is gained by combining or extending other knowledge in various ways. Isaac Newton famously wrote: "If I have seen further... it is by standing on the shoulders of giants".

Inferential knowledge is based on reasoning from facts or from other inferential knowledge such as a theory. Such knowledge may or may not be verifiable by observation or testing. The distinction between factual knowledge and inferential knowledge has been explored by the discipline of general semantics.

Knowledge in various disciplines[edit]

There are many different disciplines that generate beliefs that can be regarded as knowledge. They include science (which generates scientific theories), law (which generates verdicts), history (which generates historical narratives), and mathematics (which generates proofs).

Knowledge in science and engineering[edit]

Scientists attempt to gain knowledge through the scientific method. In this method, scientists start by finding a phenomenon of interest, which generates questions. Scientist then pick a question of interest, and based on previous knowledge, develop a hypothesis. The scientists then design a controlled experiment which will allow them to test the hypothesis against the real world. They then make predictions about the outcome of the test, based on the hypothesis.

At this point, the scientists carry out the experiment and compare their predictions with their observations. Assuming that there were no flaws in the experiment, if the observations match the predictions, this is evidence in favour of the hypothesis. If they do not match, then the hypothesis has been falsified.

A hypothesis that has been shown to accurately and reliably predict and characterize some physical phenomenon, and has been sufficiently tested, may become a scientific theory. Scientific theories are widely regarded as knowledge, and they are always subject to further revision or review should new data come to light.

To use scientific theories, they must be applied to the specific situation in hand. For example, a civil engineer might use the theory of statics (a branch of physics) to determine whether a bridge will hold up. This is one case where new knowledge is generated from scientific knowledge by specializing it to an individual instance.

The nature of human reasoning dictates that even a sound piece of scientific work might be regarded as incorrect by the scientific community at large. This is exemplified by Dan Shechtman's discovery in solid states for which he was criticised for some time.

Knowledge in history[edit]

The scientific method is essentially the application of the inductive approach to investigation. This approach is entirely appropriate for exploration of the causal world of nature (physics, chemistry, etc.) but not valid for the teleological social sciences, which includes history. There are no constants in human relations,[citation needed] only unmeasurable and inconstant subjective valuations.[citation needed] Electrons always behave the same way under the same conditions,[citation needed] but humans do not—different people seem to react differently and the same person seems to or might react differently at different moments in time. Thus, it appears that only spurious inferences can be drawn from repeated observations of human behavior[citation needed]. It might be observed that most humans prefer wealth to poverty or life to death, but it might be invalid to infer any universal law of human behavior from this.

Historians often generate different interpretations of the same event, even when reading the same primary sources, and these interpretations are always subject to revision by other historians. This is because, as a social scientist, the historian must constantly make subjective judgements of relevance in trying to interpret historical events[citation needed].

Situated knowledge[edit]

From Knowledge.

Situated knowledge is knowledge specific to a particular situation. Imagine two very similar breeds of mushroom, which grow on either side of a mountain, one nutritious, one poisonous. Relying on knowledge from one side of an ecological boundary, after crossing to the other, may lead to starving rather than eating perfectly healthy food near at hand, or to poisoning oneself by mistake.

Some methods of generating knowledge, such as trial and error, or learning from experience, tend to create highly situational knowledge. One of the main benefits of the scientific method is that the theories it generates are much less situational than knowledge gained by other methods.

Situational knowledge is often embedded in language, culture, or traditions. Critics of cultural imperialism argue that the rise of a global monoculture causes a loss of local knowledge.

Issues[edit]

What constitutes knowledge, certainty and truth are controversial issues. These issues are debated by philosophers, social scientists, and historians. Ludwig Wittgenstein wrote "On Certainty" – aphorisms on these concepts – exploring relationships between knowledge and certainty. A thread of his concern has become an entire field, the philosophy of action.

A number of problems exist, that arise when defining knowledge or truth, including issues with objectivity, adequacy and limits to justification. Beliefs are also very problematic not least because they are either true or false, and therefore cannot be adequately described by conventional logic. An action likewise can be taken or not, but there is the troubling idea of an "event" is, an action taken by nobody, or nobody whom one can blame.

Non-scientific methods[edit]

Several groups, most notably the postmodernists and social constructivists, hold that science does not actually tell us about the physical world in which they live. They hold that the world cannot be understood by science, but rather by religious revelations, mystical experience, or literary deconstructionism.[citation needed]

Practical limits for obtaining knowledge[edit]

What we hold to be knowledge is often derived by a combination of reason from either traditional, authoritative, or scientific sources. Many times such knowledge is not verifiable; sometimes the process of testing is prohibitively dangerous or expensive. For instance, some physics theories about the nature of the universe, such as string-theory, require the construction of testing equipment currently beyond our technology. Since such theories are in principle subject to verification or refutation, they are scientific; since they are not proven experimentally, they are not considered certain knowledge. Rather, in such cases we have certain knowledge only of the theory, but not of what the theory describes.

"Of the three ways in which men think that they acquire knowledge of things—authority, reasoning, and experience—only the last is effective and able to bring peace to the intellect." (Roger Bacon, English alchemist, astrologer, philosopher and a major progenitor of modern science.

See also[edit]

References[edit]

  1. ^ Shah, Idries. The Way of the Sufi. 

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