Test #1 Flashcards
Scientific method
Empiricism: knowledge based on structured/systematic observation Components: •Hypothesis (based on a theory, conduct research for reason you have this hypothesis) •Control and experimental conditions •Materials/methodology •Observation •Data collection and interpretation •Limitations
Characteristics of (psychological) science
Universalism: commonly agreed upon rules/methods for structuring observations
Communality: sharing our methods/results (ability for replication and meta analyses)
Disinterestedness: seeking truth > pride
Scepticism: evaluation/peer review (done prior to publication)
Alternative ways of knowing (easy, common, risky)
1) Authority: believing what a higher position tells you
2) Intuition: anecdotal evidence to draw general conclusions, leaving room for bias and inaccuracy
•Illusory correlation: focusing on two events that stand out and occur at the same time (ex: finding love once you stop looking)
Solution: critical thinking (evaluating the truth before accepting/rejecting it)
Lollipop study
Showed how the structured observation of listening and recalling vs multitasking then recalling led to different results:
•Before multitasking: higher number of agrees and lower number of strongly disagrees
•After multitasking: lower number of agrees and higher number of strongly disagrees
Types of research
1) Pseudoscience: uses scientific terms to make claims without scientific evidence
2) Basic research: describe, explain, predict, and determine cause if behaviour (goes of scientific research)
•Develop and test aspects of theories regarding cognition, emotion, motivation, learning, social behaviour, etc.
3) Applied research: applying accumulated knowledge to solve these problems/find potential solutions
•Ex: program evaluation (tests the efficacy of social reforms that occur in government)
Theory
Theory: explanation or interpretation of the relations among constructs
Serves two functions:
1) Synthesizing function: organize and explain observations
2) Heuristic function: generate predictions (hypotheses)
Construct: conceptual or hypothetical variable that can’t be directly observed
Hypothesis vs prediction
Hypothesis: tentative statement that something might be true
Prediction: takes a hypothesis and operationally defines the variables (clue: future tense)
•If the prediction is supported, the hypothesis is too
Data: supports or fails to support the hypothesis
Parsimony
Simpler theories are better than more complex theories that can explain the same phenomenon
Ex: interpersonal process model of intimacy
•Self-disclosure + partner disclosure + partner responsiveness = intimacy
•Parsimonious because it accounts for all types of intimacy while omitting non crucial variables (personality)
Parsimony: behaviouralism vs cognitivism
Behaviouralism: observable stimulus –> observable response
Cognitivism: observable stimulus –> (integrated thought) –> observable response
Behaviouralism more parsimonious because there are fewer links in the causal chain
What makes a hypothesis testable
- falsifiability: when an idea is tested, it can be proven false by data
- Operationalism (operational definitions): observable indicator of each variable, used for the purpose of a particular study
•Enable reliable measurement/manipulation of each variable in the hypothesis
•Pragmatic approach
Variables
Def: any event, situation, behaviour, or individual characteristic that can take more than one value (it varies)
Ex: wine tasting picture has different colours, sizes
Continuous participant vs categorical variables
Continous: the amount of wine in the glass (mm)
Categorical: the colour (red, gold, white)
Correlation designs
Measurement of two or more variables (no manipulation)
•Ex: people who expertise more have a higher level of happiness
•Positive or negative correlation (positive or negative 1 - cannot be outside of that)
•Can’t make causal claims because we don’t know what causes what (direction) and third party variables
Operational definitions
Def: consistent way to measure or manipulate a variable by translating a construct into a more observable variable
•Hypothesis to prediction
Important to consider three general variable categories when creating an operational definition
1) participant variable:
• characteristics people bring to the study (can be measured, continuous or categorical)
*Ex: psychological entitlement, cultural backgorund
2) situational variable: characteristics of the situation/environment
•Can be measured or manipulated, typically categorical
*Ex: the number of people around
3)response variable: the responsiveness/behaviours of individuals
*Ex: performance on a cognitive task, reaction time
When to make a causal claim (3 criteria for internal validity)
1) covariation of cause and effect: when the cause is present the effect occurs, and wen the cause is not present, the effect does not occur
2) temporal precedence: there is an order (cause before effect)
3) eliminate plausible alternative explanations