Presentation Transcript
Critical Thinking- Analysis of an Argument : Critical Thinking- Analysis of an Argument G.P. Taylor, Ph.D.
University of Texas at San Antonio
Critical Thinking : Critical Thinking The use of those cognitive skills or strategies that increase the probability of a desirable outcome.
It is used to describe thinking that is purposeful, reasoned and goal directed
solving problems
formulating inferences
calculating likelihoods
making decisions
Involves evaluating the thinking process
What reasoning that went into the conclusion?
Sometimes called directed thinking because it focuses on a desired outcome."
Halpern, Diane F. Thought and Knowledge: An Introduction to Critical Thinking. 1996.
Critical Thinking II : Critical Thinking II Deciding rationally what to or what not to believe
Norris, Stephen P. "Synthesis of Research on Critical Thinking. Educational Leadership, v 42 n 8 May 1985. 40-45.
Critical Thinking III : Critical Thinking III Careful and deliberate determination of whether to accept, reject, or suspend judgment.
Moore and Parker, 1994.
Critical Thinking IV : Critical Thinking IV The purpose of critical thinking is:
to achieve understanding
evaluate view points
solve problems.
Thus, critical thinking is the questioning or inquiry we engage in when we seek to understand, evaluate, or resolve."
Maiorana, Victor P. Critical Thinking Across the Curriculum: Building the Analytical Classroom. 1992.
GRE Examination : GRE Examination Writing Component In
Logical Reasoning Out
Writing Component incorporates critical thinking
Analysis of an Argument
Presentation of an Issue
In Science, Critical Thinking is used when you… : In Science, Critical Thinking is used when you… Observe problem/phenomenon/conceive ideas
Develop a hypothesis
Make predictions: Formulate experiments
Test Predictions: Carry out experiments/analyze data
Draw conclusions from results, modify hypothesis
Modify as needed and do again.
Reject or confirm hypothesis
The Scientific Method itself involves critical thinking
VITAL for a scientist.
Impressive for a science student
Need to have time to read and think
Scientists are Natural Skeptics : Scientists are Natural Skeptics Big thing to learn during Grad school:
Be critical of everything!
Are their ideas supported by the literature?
Are their techniques correct?
Did they analyze their data correctly?
Are their conclusions supported by the data?
Here, we’ll practice being critical : Here, we’ll practice being critical 7 exercises from the GRE questions pool
Identify major problems with given argument
Jot down, to discuss during class
Don’t share until during class
Closed at time of class (no late)
Example: : Example: Last year the local television news program In Focus reported in its annual car-and-truck safety survey that over the course of the last 10 years, United Motors vehicles were in involved in at least 30% fewer fatal accidents to drivers than vehicles build by any other single manufacturer. Now, United is developing a one-of-a-kind kind computerized crash warning system for all its trucks. Clearly, anyone concerned with safety who is in the market for a new truck this year should buy a United Motors truck.
How to Approach? : How to Approach? Given: There are flaws? What are they?
Where are the problems?
Analyze line of reasoning
Consider questionable assumptions
Does evidence support the conclusion?
What additional evidence is needed to strengthen or weaken argument?
What other info is needed to evaluate the conclusion?
Common Types of Logic Flaws : Common Types of Logic Flaws Weak analogy between two things
Confusing correlation or timing issue with cause and effect
Over-generalizing characteristics of individuals to groups
Assuming that a certain condition is necessary or sufficient for outcome
Relying on “questionable” statistics
Assuming that things don’t change with time
Making a recommendation based on narrow “either-or” reasoning, when there are other obvious solutions
Weak Analogy : Weak Analogy Conclusion about one thing, based on success or failure of another…with many other variables present
Ex: Biotechnology company doing well in SA…I’ll open one as well…
Confusing Cause and Effect : Confusing Cause and Effect Ice cream consumption leads to criminal behavior…
Other factors: Summer heat, out of school, etc…
Necessary and Sufficient : Necessary and Sufficient Necessary- No other ways of getting effect
Sufficient- Alone can cause effect
ex. Let’s do this (presents only one option- another course may be better). May require additional efforts (teacher effort, etc)
Unrepresentative Statistics : Unrepresentative Statistics Sample large enough
Sample representative of overall population in relevant characteristics
How many are needed?
What works there…does it here?
Assuming no change over time : Assuming no change over time Old stats may not been representative of today…
Narrow Either-Or Reasoning : Narrow Either-Or Reasoning Must choose only one path…
Perhaps both courses of action are okay?
Are other courses of action feasible?
What I Want: : What I Want: Identify conclusion
Identify supporting evidence
Brainstorm and identify three or four discrete flaws (see prior slides), plus any others that you note, and the type of logic they are violating
How to strengthen argument? (What additional info is needed)
Example: : Example: Last year the local television news program In Focus reported in its annual car-and-truck safety survey that over the course of the last 10 years, United Motors vehicles were in involved in at least 30% fewer fatal accidents to drivers than vehicles build by any other single manufacturer. Now, United is developing a one-of-a-kind kind computerized crash warning system for all its trucks. Clearly, anyone concerned with safety who is in the market for a new truck this year should buy a United Motors truck.
Example : Example Conclusion: Truck buyers should favor the UM truck over others…
Evidence Presented:
Compiled TV station-calculated 10 year fatality rate on all UM vehicles
Development of new truck safety system
Logic Problems: : Logic Problems: Survey:
Scope:
what % fatal accidents included?
Geographic effects (fewer UM vehicles; In Focus local?)
All vehicles, not trucks alone
Non-fatal also relevant to safety
Other assumptions
No changes in truck safety over 10 years
Maybe even UM worse…why new system?
Overall, perhaps fewer trucks sold (not rate data)
Drivers of UM trucks safer than others
The new Safety feature
Is effective
Is included on this year’s trucks
To Strengthen the Argument: : To Strengthen the Argument: Accident sample representative
Other measures of safety (non-fatal)
Past relative safety into present
New safety features included and effective
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