Unit 2: Theories and Measurement Flashcards
Phenomenon
An established answer to a research question.
A general result that has been observed reliably in a systematic empirical research.
Ex: Fundamental attribution error
People tend to explain others’ behaviour in terms of their personal characteristics as opposed to the situation they are in. Varies between cultures (more in N America than Asia)
Ex: Bystander effect; the more people who are present at an emergency situation, the less likely it is that any one of them will help.
Ex: Social facilitation; while being watched by others, people perform better on highly practiced tasks
Ex: Social inhibition; while being watched by others, people perform worse on relatively unpracticed tasks
Replication
When a study is conducted again to ensure it produces the same results. Can be done exactly as the previous study, or with modifications
Theory
A coherent explanation or interpretation of one or more phenomena
Goes beyond the phenomena by explaining variables, structures, processes, functions, or organizing principles that have not been observed directly
Ex: Zajonc’s drive theory; being watched creates physiological arousal, which increases dominant response. So increase in correct highly practiced behaviour. Explains social facilitation and social inhibition (decrease in correct display of unpracticed behaviour)
Perspective
A broad approach to explaining or interpreting phenomena
More general than a theory
Ex: Biological perspective explains in terms of genetics or the nervous system
Model
A precise explanation or interpretation of phenomena
Can be expressed in terms of equations or biological processes
Theoretical framework
Provides the context applied to understanding a phenomenon; guides the interpretation of the observations
Can be as broad as a perspective, or as precise as a model
Basic purposes of scientific theories
- Organize phenomena; theories are good or useful when they coherently explain the results of many studies in a clear and concise way
- Predict what will happen in new situations; help physicians make informed decisions about treatment
- Help generate new research; even an inaccurate theory can generate new and interesting research questions, produce new results, and help to refine the theory
Types of dimensions that differ in theories
- Formality
- Scope
- Theoretical approach
Functional theories
Explain psychological phenomena in terms of their function or purpose. Explain the “why”
Ex: Cutting produces a short-term reduction in the intensity of negative emotions
Ex: Evolutionary psychology - human behaviour has evolved to solve specific adaptive problems
Mechanist theories
Focus on specific variables, structures, and processes, and how they interact to produce the phenomena. Explain the “how”
Identify a mechanism/explanation of phenomena and give context to when it happens or how intense it is
Ex: Social facilitation/inhibition
Stage theories
Provide organization without using functional or mechanist explanations
Specify a series of stages that people pass through as they develop or adapt to their environment
As people pass through the stages, they integrate their outcomes from previous stages to help them succeed in the next stage
Can’t revert to previous stages
Typologies
Provide organization by categorizing people or behaviour into distinct types
Ex: Basic emotions, types of intelligence, personalities
Unlike stage theories, people do not progress through typologies in any order, or do not progress through them at all
Nominal scales
Descriptive scales; simply names or categorizes responses with no inherent numerical value and do not imply any ordering among the responses
The only form of central tendency that applies is mode
Ex: Favourite colour, religious affiliation
Ordinal scales
Ordered scales; allow comparisons of the degree to which two individuals rate the variable
The differences between adjacent scale
values do not necessarily represent equal intervals
Ex: How satisfied a customer is (somewhat satisfied, very dissatisfied, etc)
Interval scales
Numerical scales in which intervals have the same interpretation throughout
Do not have a true zero point
Ex: temperature in Celsius or Fahrenheit (zero is arbitrary)
Ratio scales
Interval scale with the additional property that its zero position indicates the absence of the
quantity being measured
Has the combined qualities of nominal, ordinal, and interval scales
Ex: temperature in Kelvin (zero = absolute zero), height in m, weight in kg, money
Reliability
The ability to consistently produce a given result
Any instruments or tools used to collect data do so in consistent, reproducible ways
Used to evaluate a method of measurement
Ex: Kitchen scale measures 100g of flour 5 times in a row, but is not calibrated correctly
Validity
The extent to which a given instrument or tool accurately measures what it’s supposed to measure
Ex: Kitchen scale measures 100g of flour, and the amount is actually 100g