Chapter 13: Methods in the Study of Personality Flashcards
Exner Scoring System for the Rorshach Inkblot Test
average p (population responses)
- M=6.28
- conventional, well-adjusted
high p
- M<7
- conventional, overconforming, frequently depressed
- anxiety related to fear of making mistakes
- conforms to achieve approval
low p
- M>4
- poorly adjusted, detached, unable to see world as others do, rejection of conventionality
- possible character disorder
4 Steps of the Scientific Method
- observe and describe
- form hypothesis
- use hypothesis to predict something
- test prediction using experimental methods
Personology
- case study
- method of examining the whole person at once
- provides in-depth perspective
- gather information over a long period of time through various modalities
Bias
- observational methods are influenced by the observer
- observations within case studies lack generalizability
How can Generality be provided?
- testing assumptions with as many subjects as possible
- testing with a large variety of groups
- diversity
Variables
- concept or dimension of interest
- at least two levels: sex - male/female
- can have two types of relationship: correlational, causal
Correlation
- tendency of two variables to go together
- direction: positive/negative
- strength: degree of accuracy with which you can predict the values of each variable
Correlation Coefficient
- r = 1.0 perfect
- 0.6-0.8: strong
- 0.3-0.6: moderatly strong
- <0.3: forget about it
- tells the direction and strength of the relationship
- positive relationship: no sign
- negative relationship: minus sign
Significant Relationship
result is large enough to be unlikely a product of chance
Common Standard of a Significant Relationship
- <5% or <1%
- p value: < 0.05 or 0.01
Clinical Significance
result is both statistically and practically significant
Causality
relationship between cause and effect
Difference Causality and Correlation
Correlation: tells that there is a relationship
Causality: tells why
Dangers of interpreting Correlation Coefficients
- variable could have a causal relationship, or a third variable not measured could influence both variables
- confound or “third variable problem”
How to determine Causality
experimental research with IV and DV