Psychology Exam #1 Flashcards
Confirmation Bias
Our propensity to favor evidence that confirms our ideas while disregarding evidence that doesn’t confirm them. (Ex. Anti-vaxxers)
Availability Heuristics
A mental shortcut relies on an immediate example that comes to a given person’s mind when evaluating a specific topic, concept, method, or decision. (Ex. overestimating getting eaten by a shark after watching Jaws)
Dunning-Kruger Effect
A relationship between the knowledge or experience that you have and how confident you are with that knowledge. Helps us understand people and how are they so vocal on subjects they know so little about
CARP/ CRAP Test
A way to evaluate information sources based on the following criteria: currency, authority, relevance/reliability, and purpose/POV
Currency (CARP)
When was this information published or posted? Has the information been revised or updated? When? Does your topic require current information, or will older sources work as well? Websites, are the links still functional?
Relevance/Reliability (CARP)
Does the information relate to your topic to help answer your question? (doesn’t have to agree with your argument) Is that information at the same level of appropriateness as your research? Who is the intended audience? Where is the info from? Does the author provide references or sources? Has the info been reviewed? By whom? Do you feel comfortable using this source in your research? Would you feel comfortable showing this to your professor?
Authority (CARP)
Who is the author/creator? What are their credentials? Are they qualified to write about this topic? Can they be contacted? Are they affiliated with any groups or organizations? Who is the publisher/sponsors?
Purpose/POV(CARP)
What does the information meant to do to the reader? - (inform, teach, sell, entertain, persuade?) Is the author clear on their purpose? Is the info fact or opinion/propaganda? Is the POV objective or impartial? What biases might the author have? Are there ads? Are they related to the topic? Websites- what does the URL tell you of its purpose? (.com is commercial, .gov is government, org. is organization)
Scientific Reasoning
Core components of “good science”, should pass each of those “tests”, falsifiability, logic, comprehensiveness, honesty, replicability, sufficiency.
Falsifiability
Any good scientific claim must be able to be proven false.
Unfalsifiable
Bad science and bad logic will often use unfalsifiable claims and then challenge the opponent to “prove me wrong.” (Ex. I’m the shortest person in school) because it can be tested and refuted or proven.
Logic
Scientific claims must be logically sound, meaning that the conclusion should only be made based on valid and true premises.
Comprehesiveness
Claims need to account for all data, not just some of it.
Honesty
Claims should be made and evaluated with as little as bias as possible.
Replicability
Good experiment needs consistent results
Sufficiency
Is the claimant providing sufficient and quality evidence? The burden of proof is always on the clamant.
Pseudoscience
An outward appearance of science, absence of skeptical peer review, reliance on personal experiences, evasion of risky tests, retreats to the supernatural, mantra of Holism, tolerance of inconsistencies, appeals to authority, promising the impossible, stagnation.
The Scientific Method
Ask a question, do background research, construct a hypothesis, and test your hypothesis by doing an experiment, analyze your data and draw a conclusion, and report your results (was your hypothesis correct?)
Independent Variable
The variable you manipulate in your experiment.
Dependent Variable
The variable you measure
Controlled Variables
Variable you keep constant
Dry Mix
Dependent variable/ Responding variable goes to the Y axis, Manipulated/ Independent variable goes on the X axis.
Confounding Variable
A variable that affects the variables in a way that causes a spurious association, so it wasn’t even accounted for.
Correlations (positive, negative and zero)
A measure of the direction and strength of the relationship between two variables. Positive is when the 2 variables grow or decrease together, and negative is when they are different and go opposite ways in the graph, zero correlation is random non-significant, with no line in the graph).