Chap 1-3 Flashcards
Theory
Integrated set of related principles that explains & generates predictions about phenomenon in the world
Hypothesis
Testable prediction about what will happen under specific circumstances if theory is correct
Data
Set of observations gathered to evaluate hypothesis
Hindsight bias
Tendency to overestimate ability to foresee outcome after learning outcome
Confirmation bias
Tendency to seek out, pay attention to, & believe only evidence that supports what we are already confident is true
Disposition
Person’s inherent qualities, values, & character
Normative influence
Desire to fit in
Fundamental Attribution Error
Tendency to underestimate the influence of situation on behaviour, &
overestimate influence of personal dispositions
Construal
The way we construct our social reality (reality -> construal process -> biased perceptions & beliefs)
Social Psychology
Scientific attempt to understand & explain how feelings, thoughts, behaviours of individuals are influenced by actual or perceived feelings, thoughts, behaviours of others
Variable
Anything that can take on different values (depends on person, situation)
Measured variable (all)
Values are simply recorded (every study)
Manipulated variable (some)
Researcher controls values of variable (diff participants get diff levels of variable)
Operational definition (or operationalizing a variable)
Specific way of measuring or manipulating abstract variable in particular study
(Turning it into a number, recorded & analyzed)
Self-Report
Ppl describe themselves; their
behaviour in interview or survey (rating scale)
Social desirability bias
Tendency to answer questions in way to be viewed favourably by others
-Impression management
-Self-deceptive enhancement
Impression management
Faking being good, what is viewed favourably by others
Self-deceptive enhancement
Unrealistic self-views, but honestly held
Event-contingent recording
Participants report experience right after it happens
Direct observation
Researchers observe & record the occurrence of behaviour
Population of interest
Full set of cases the researcher is interested in understanding
Sample
Group who participated in research, & belong to larger group (pop. of interest)
Random sample
Sample in which every person in pop. interest has equal chance of being included
Correlational Research
Study that measures two or more variables in same sample of ppl, & observes relationship between them
Scatterplot
Figure used to represent a correlation
Direction (up-down)
Strength (dots clustered, spread out)
What needed to establish causality
1) 2 variables correlate
2) 1 variable précède other
3) No reasonable alternative explanation for pattern of correlation
Experimental research (causality)
Study: 1 variable is manipulated, other measured (all other variables = constant)
Independent variable
Manipulated variable in experiment
Dependent variable
Measured variable in experiment
Random assignment
Participants as likely to be assigned one condition as to another
Control group
Condition comparable to experimental condition in every way, except lacks one “ingredient” hypothesized to produce expected effect on dependent variable
Moderator
Factor that causes the effect to happen to some participants but not others, or in some situations but not others (“it depends” on what?)
(Eg: In Pro- or anti-Ecology sentiment, manipulation only works on ppl who don’t have strong feeling towards their ecology sentiment
-> factor: Prior attitude)
Measurement Validity (construct validity)
Measuring what you think you’re measuring
(Reliability)
Reliability
Same results every time administer measure
-test-retest reliability
-inter-rater reliability
Internal Validity
Rule out alternative explanations for relationship between 2 variables in experiment (confounds)
Differential Attrition
Loss of study units from a sample
(When some participants more likely to drop out of study than others cuz factor, eg: level of motivation)
Need random assignment
External Validity
1) Results generalized to other samples (sometimes tolerated)
2) generalized to other situations?
Null hypothesis
Hypothesis of no effect (Statistically significant finding: provides sufficient evidence against null hypothesis)
P-values
Probability of getting result as extreme as one we observed if no difference between 2 groups (no relationship - 2 variables)
0-1
< 0.5 (reject null) - statistically significant
> 0.5 (not reject null)
Replication Study
Repeats previous study with identical or similar methods but diff participants ( can original finding be repeated? )
-Direct replication
-Conceptual replication