M1 Flashcards
What is personality psychology?
The individual characteristic patterns of thought, emotions, and behaviour together with the psychological mechanisms – hidden or not – behind those patterns
When thinking of personality, we tend to think of it as:
- individualized
- consistent
- core of the person (not situation-based)
Psychological triad
how people feel, think, and behave
Goals of Personality Psychology
- primary: assemble an integrated view of whole functioning individuals in their daily environments (impossible goal)
- ‘basic approaches’
Basic approaches in Personality Psychology
- Trait approach: conceptualization of indiv. difference, measurement/consequences of indiv. differences, personality development/change
- Biological approach: anatomy/physiology, genetics, evolution
- Psychoanalytic approach: unconscious minds, internal mental conflict
- Phenomenological approach: free will, humanistic psychology, cross-cultural psychology
- Learning and cognitive approaches: behaviourism, social learning theory, cognitive personality psychology
S Data
Self-report
- easiest method; simply ask someone about themselves
- usually done through questionnaires
- high face validity (know what it’s measuring on the surface)
- most common basis for assessment
Advantages of S data
- large amount of info
- access to thoughts, feelings, intentions
- definitional truth
- causal force (self-verification)
- simple and easy
Disadvantages of S data
- maybe they won’t tell you
- maybe they can’t tell you (fish-and-water effect)
- too simple and too easy
I Data
Informant-Report
- gathering info from other people
- judgemental, subjectively, and irreducibly human
- used in many everyday situations, not just psychology
Advantages of I Data
- large amount of info
- real-world basis
- common sense
- some I data are true by definition
- causal force (expectancy/behavioural confirmation)
Disadvantages of I Data
- limited behavioural info (people are limited to the experiences they have with target person)
- lack of access to private experience
- error (memory)
- bias
L Data
Life Outcomes
- verifiable, concrete, real-life facts that may hold psychological significance
- can be collected in numerous ways
- can be considered ‘residue’ of personality
Advantages of L Data
- objective and verifiable
- intrinsic importance
- psychological relevance
Disadvantages of L Data
- multiple determination
- possible lack of psychological relevance
B Data
Behavioural Observations
- info recorded from direct observation
- participants are found, or put in some sort of situation (testing situation) and directly observed
- 2 Types: Natural and Laboratory
Natural B Data
- diary, experience-sampling methods, and EAR
- natural observations
- realistic but costly
- some behaviours don’t occur in daily situations
Laboratory B Data
- experiments
- physiological measures
- certain personality tests (MMPI, Projective tests like Rorschach and TAT)
Distinction between B and S Data (with regards to personality tests)
S data - want to know the answer; direct
B data - want to know how you will answer; must be interpreted
Advantages and Disadvantage of B Data
Advantage:
- wide range of contexts (real and contrived)
- appearance of objetivity
Disadvantage:
- uncertain interpretation
Behaviouroid
- actual data is a hybrid
- a measure that has participants report what they think they would do under various circumstances
Implicit assessments
measuring associations between the sense of self and aspects of personality that are implicit
- hard to introspect about
- less susceptible to explicit biases
- Implicit Asosciation Test (IAT)
Subjective vs Objective
- subjective requires interpretation
- objective points to a clear understanding
**There is some sort of interpretation in every data; 80 000$ objective yes but we can label as low, average, or high
Studying a particular phenomenon or individual in depth both to understand the particular case and in hopes of discovering general lessons or scientific laws
Case study
- provided foundation for many psychologists (especially personality psych)
Advantages of Case Study
- does the topic justice (allows for depth and complexity)
- can be a source of ideas
- sometimes is absolutely necessary
Disadvantages of Case Study
- not controlled
- not generalizable
- noticed patterns/ideas need to be further tested
A research technique that establishes the relationship (not necessarily causal) between two (or more) variables, by measuring both variables in a sample of participants
Correlational design
Regression
same thing as correlation but looks at multiple predictors (ex; extraversion and neuroticism and some sort of outcome like general mental well-being)
Predictor variable (x)
variable one is using to predict another in a correlation/regression analysis
Criterion variable (y)
variable being predicted by another in a correlation/regression analysis
Advantages and Disadvantage of Correlation Design
Advantages:
- can establish a relationship (can make predictions)
- sometimes the only way to study a specific question (ethics/practicality)
Disadvantage:
- no causation
A research technique that establishes the causal relationship between an independent variable(s) and a dependent variable by randomly assigning participants to experimentally groups characterized by differing levels of the independent variable, and measuring the average of the dependent variable that results in each group
Experimental Design
3 necessary components for an experiment:
- there is manipulation
- there is experimental control
- there is random assignment
Three conditions needed for causality
- covariance: is there an effect?
- temporal precedence: IV has to be manipulated BEFORE measuring the DV (cause before effect)
- internal validity: does the experiment do what we meant for it to do? Did we minimize or eliminate to the best degree we could systematic error or bias? ; won’t be perfect!!! ; are there valid assessments of manipulations, are you controlling for possible alt explanations; making sure people are not influencing participants’ responses unconsciously
Advantages of Experimental Design
- can make causal claims
- experimental control reduces chance of third-variable problems
- statistical control can help reduce noise
Disadvantages of Experimental Design
- cannot be absolutely sure exactly what you manipulated
- levels of IV may not be generalizable to real life (tend to be extreme manipulations)
- often require deception
- sometimes not possible
Multifactor study
a research technique that examines the effects of multiple predictors, both individually and in combination with each other, on an outcome
Quasi-experimental design (QED)
research in which the investigator cannot randomly assign units or participants to conditions, cannot generally control or manipulate the independent variable, and cannot limit the influence of extraneous variables
Interaction
when the effect of one independent variable on a DV is affected by an additional variable
- if lines are going to intersect, you will likely have an interaction
- flat lines = specific variable has no effect
Null-hypothesis significance testing (NHST)
method of statistical inference by which an observation is tested against a hypothesis of no effect or no relationship
- tests against a p-value
p-value
probability of finding the observed, or more extreme, results when the null hypothesis of a study question is true
- often set at 0.05
Problems with NHST
- confusing and misrepresented
- statistical significance does not mean practical significance
- cutoffs (0.05) are based on tradition
- p=-values can be sensitive to several factors in the study (ex: # of participants)
- p-hacking
A number that reflects the degree to which one variable affects, or is related to, another variable
Effect size
- ex: correlation coefficients
Practical vs. Statistical Significance
main difference = practical significance is how huge or small an effect is .. more important than statistical significance
Ex: I have method to increase your grade guaranteed only costs about 10 000$…is worth the investment? Well how much is it going to increase my grade by? (PRACTICAL significance)
Omnibus personality assessment
tries to measure a collection of different personality traits
Examples of Personality tests
- MMPI
- CPI
- 16PF
- NEO PI
- IAT
Projective tetss
- rooted within a psychoanalytic perspective
- based on projection theory
- Rorschach, TAT
Advantages of projective tests
- good for breaking the ice
- some skilled clinicians may be able to use them to get info not captured in other types of tests
Disadvantages of projective tests
- validity evidence is scarce
- expensive and time-consuming
- psychologist cannot be sure about what they mean
- other less expensive tests work as well or better
The Rational Method
- items that seem to be directly, obviously, and rationally related to what is being measured
- may come from: theory, have participants list their thoughts, experiences, or views on a relevant topic
- ex: Woodworth’s Personality Data Sheet
Four conditions for validity of the measurement (Rational Method)
- items need to mean the same thing for participant and researcher
- participant must be able to make accurate self-assessment
- participant must be willing to give accurate assessment
- all items must be valid
Factor analysis
a statistical method for finding order amid seeming chaos
- identifies groupings within a list of several items
T or F. Factor analysis usually works very well with rational method in trying to create a more valid measurement
T, After rational method -> Conduct factor analysis just to make sure its trying to get at same concept (a double check on theories or expectations)
Uses of Factor Analysis
- reduce list of traits to an essential few
- refine personality tests
Limitations of Factor Analysis
- the quality of information from the factor analysis is limited by the quality of items
- factors don’t always make sense
- difficulty and subjectivity of deciding how items are conceptually related
The Empirical Method
- a data-driven approach to test construction
- basic assumption: certain kinds of people will have distinctive ways of answering questions on personality inventories
- gather lots of items
- administer items to people already divided into groups
- compare the answers of the different groups
- items may seem absurd or unrelated to personality
Reliability
the tendency of an instrument to provide the same comparative information on repeated occasions
- the less measurement error, the more reliable the measure
- there will always be some error (obstacles with measure, participant, experimenter, and/or environment)
Measurement error
the variation of a number around its true mean due to uncontrolled, essentially random influences (AKA error variance)
Spearman-Brown formula
In psychometrics, a mathematical formula that predicts the degree to which the reliability of a test can be improved by adding more items
Split-half reliability
take your scale and half it when analyzing and see correlation between those two halves..
- Strong correlation = reliability
Validity
the degree to which a measurement actually reflects what one thinks or hopes it does
- must be reliable (but reliable measure not necessarily valid)
- “ultimate truth”
- Construct
- conceptual vs. operational definitions
Construct
something that cannot be directly seen or touched but which affects and helps to explain many different things that are visible
Construct validity
Does the measure reflect the intended construct?
Does the measure predict manifestations of the construct?
Criterion validity
Convergent validity
Does the measure relate to similar constructs?
Does the measure not predict different constructs?
Divergent validity
Face validity
Does the measure appear to reflect the intended construct?
Generalizability
the degree to which a measurement can be found under diverse circumstances, such as time, context, participant population, and so on
-> in modern psychometrics, this term includes both reliability and validity
Cohort effects
tendency of a group of people living at a particular time to be different in some way from those who live earlier or later
Acquiescence bias
participants says yes or agrees or answers all seven on a questionnaire – largely due to ppl not paying attention and wanna be done ASAP; to reduce = place items in there that aren’t negatively worded( framing q’s in an opposite way); if they answer 7 it would actually be 1 – can be exact same thing but said in opposite ways to see what person answers – may not necessarily get rid of bias but will allow us to detect who is engaging in this form of responding
Social desirability
bad if studying human nature
Ease tendency towards social des. :
- Use measures to items that are framed in a non-judgemental way; wont totally rid but will lessen pressure to present oneself in that way
- Or include social desirability in study and either statistically control for that (include analysis) or exclude ppl that meet a certain threshold but if wanna get published -> include both analyses
Response sets
psychological orientation or tendency to respond a certain way to a measurement and these can fall under acquiescence bias or social desirability bias
Trait perspective
the theoretical view of personality that focuses on individual differences in personality and behaviour
2 key points about the trait perspective
- based on empirical research that mostly uses correlational designs
- focuses exclusively on individual differences
Interactionism
the view that instead of seeing personality and the situation as opposing forces, a more accurate view is perhaps they constantly interact with each other and produce behaviour together