review Flashcards
(247 cards)
define empiricism vs functionalism vs behaviourism vs realism vs structuralism
empiricism: the belief that all knowledge comes from experience
behaviourism: the study of behaviour
realism: a point of view that emphasizes the importance of the sense in providing knowledge of the external world
functionalism: a school of American psychology that focused on the utility of consciousness (about the activities of the mind)
structuralism: a school of American psychology that sought to describe the elements of conscious experience (about the contents of the mind)
Describe the scientist-practitioner model vs scholar-practitioner
SCIENTIST-practitioner: a model of training of professional psychologists that emphasizes the development of both research and clinical skills
SCHOLAR-practitioner: training model of professional psychologists that emphasizes clinical practice
Inductive vs deductive reasoning
Inductive:
- drawing GENERAL conclusions from specific observations
- based on probabilities
- science is better at addressing probabilities than proving something, so even data that isn’t falsifiable can be useful
Deductive:
- general principles are applied to prove specific instances
- more associated with proof
What is accuracy, consistency, scope, simplicity and fruitfulness?
Accuracy: explanations and theories match real world observations
Consistency: a theory has few exceptions and shows agreement with other theories within and across disciplines
Scope: extent to which a theory extends beyond currently available data, explaining a wide array of phenomena
Simplicity: when multiple explanations are equally good at explaining the data, the simplest should be selected
Fruitfulness: The usefulness of the theory in guiding new research by predicting new, testable relationships.
Anecdotal evidence is limited by:
Quality and representativeness of observations and memory shortcomings
Null-hypothesis significance testing (NHST) tests, type 1 and 2 error:
Test probability that the observations would be the same if there was No relationship between the variables in the study
Type I error: data shows a relationship that doesn’t exist
Type II error: data fails to show a relationship that exists
What is the p-value?
Probability values (P-value): set a threshold for errors and what data is significant
“the probability of observing a particular outcome in a sample, or more extreme, under a conjecture about the larger population or process”
How often a random process would give the result found in a study, assuming no external variables
Type I and II error
Type I error: rejecting a null hypothesis that is actually true
- in reality there is NO relationship
Type II error: failing to reject a null hypothesis that is actually false in the population
- in reality there is a relationship
What makes a scientific theory?
An explanation for an observed phenomena that is
- empirically well-supported
- consistent
- fruitful/predictive
- potentially falsified
eugenics
the promotion of selective breeding (for desired traits)
Describe behaviourism, and why cognitive psych was better suited
Behaviourism (Watson & Skinner): rejected any reference to mind, viewed overt and observable behaviour is the subject matter of psychology
o But behaviourism was unable to fully explain human behaviour because it neglected mental processes
o So, cognitive psychology was better suited - includes flashbulb memory and the tip-of-the-tongue phenomenon
Anecdotal evidence:
a piece of evidence, usually drawn from personal experience, used to support a conclusion that may or may not be correct
What is systematic observation?
the careful observation of the natural world with the aim of better understanding it.
Observations provide the basic data that allow scientists to track, tally, or otherwise organize information about the world
Being objective
Being free of personal bias
What are the factors of ethics
- Informed consent
- Confidentiality
- Privacy
- Benefits (researchers should weigh the benefits against the potential risks)
- Deception (researchers much debrief after the study to educate participants)
What do levels of analysis state?
Levels of analysis state that a given phenomenon can be explained at different levels simultaneously - allow a variety of perspectives
What is the margin of error?
The expected amount of random variation in a statistic; often defined for a 95% confidence interval
What is random assignment vs random sampling, and what is the goal of each?
Random assignment: using a probability-based method to divide a sample into a treatment group
- balances out all variables related to the individual differences between participants (and between treatment groups)
Random sampling: using a probability-based method to select a subset of individuals for the sample from the population
- goal is selecting a sample that is representative of the population (generalizable)
- eliminates sampling bias
Random assignment + random sampling can help you have more confidence in your results as they REDUCE EXTRANEOUS VARIABLES as much as possible
When is a result statistically significant?
When is it unlikely to arise by chance alone
Dependent and independent variable, operational definitions
Dependent: The variable the researcher measures but does NOT manipulate
Independent: the variable the researcher manipulates and controls in an experiement
Operational definitions: how researchers specifically measure a concept
Quasi-experimental design
An experiment that does not require random assignment to conditions
Experimental designs vs correlational
Experimental:
- Have IV and DV
- IV is manipulated to have an outcome on DV
- Double-blind procedures prevent confounds
- Relationship between variables: cause-and-effect
Correlational:
- Measures association between two variables
- does NOT imply causation
- no intervention or manipulation, patterns are instead identified
- can ONLY examine 2 variables
- Relationship between variables: correlation
Experimental designs vs longitudinal vs quasi-experimental pros and cons
Experimental:
(+) determines cause-and-effect relationships
(-) more manipulation therefore reduced ecological validity
Longitudinal design:
(+) provides valuable evidence for testing theories
(-) time consuming and costly
(-) attrition; when participants leave
(-) correlation isn’t causation
Quasi-experimental design:
(+) high external validity, as they often involve real-world interactions
(-) random sampling not used
Limitations of experimental research
- manipulated and controlled variables not natural, experimenters must try balancing external and internal validity
- since internal validity is crucial for research, it is prioritized, however, external validity is required to apply it to the population