Wk 1 Part 2 Research Methods Flashcards
Probability:
A measure of the degree of certainty of the occurrence of an event.
Pseudoscience
Beliefs or practices that are presented as being scientific, or which are mistaken for being scientific, but which are not scientific.
What are the qualities of well designed research? (observations)
- Observations that are systematically recorded, high quality, and representative of the population it claims to describe.
Inductive reasoning:
- When a set of general observations leads to a specific conclusion / To draw general conclusions from specific observations.
- A form of reasoning in which a general conclusion is inferred from a specific set of observations.
- Ex: Observing a person texting and driving nearly crash their car → Concluding that texting while driving is dangerous.
- Based on data collected from samples.
- Does not prove anything; Does show what is probably true.
- SPECIFIC to GENERAL.
Anecdotal evidence:
- A piece of biased evidence, usually drawn from personal experience, used to support a conclusion that may not be correct.
- Derived from personal experience and unsystematic observations.
Deductive reasoning
- Where a general premise determines the interpretation of specific observations.
- Broad, general premises that are applied to specific instances.
- Ex: Gravity is associated with mass → Bc the moon has a smaller mass than the earth, it should have weaker gravity.
- Associated with ‘proof’.
- GENERAL to SPECIFIC.
Representative
- In research, the degree to which a sample is a typical example of the population from which it is drawn.
- Ex: Participants in a caffeine memory study should not all be over 90 years old.
Written Answer : Discuss science as a social activity, comparing and contrasting facts and values.
Scientific claims are more likely to be correct and predict real outcomes than “common sense” opinions and personal anecdotes. This is because researchers consider how to best prepare and measure their subjects, systematically collect data from large and—ideally—representative samples, and test their findings against probability.
Correlation:
In statistics, the measure of relatedness of two or more variables.
Null hypothesis significance testing (NHST)
- In statistics, a test created to determine the chances that an alternative hypothesis would produce a result as extreme as the one observed if the null-hypothesis were actually true.
- Assesses the probability that the observations could be the same if there were no relationship between the variables in a study.
- Comparing what you expect to find (probability), with what you actually find (collected data).
type I error:
Finding a relationship when none really exists. (error of rejecting the null-hypothesis when it is true).
type II error:
Failing to find a relationship when one exists (error of failing to reject the null-hypothesis when it is false).
Probability values:
In statistics, the established threshold for determining whether a given value occurs by chance.
What does the alternative hypothesis predict in NHST?
That there is a relationship between 2 variables.
Functionalism:
” Influenced by Darwin’s evolutionary theory, functionalists were interested in the activities of the mind—what the mind does. An interest in functionalism opened the way for the study of a wide range of approaches, including animal and comparative psychology …..utility of consciousness.