CH 1 - Defining Personality Flashcards
(134 cards)
Is Personality psychology a Behavioural Science?
Yes
What are the 4 Goals of Behavioural Science?
- Describing behavior
- Predicting behavior
- Determining causes of behavior
- Understanding – or – explaining behavior
What are the 3 conditions required for establishing Causality?
- Determining causes of behavior
a) Temporal precedence
b) Covariation of Cause and Effect
c) No alternative explanations
What are the 4 Goals of Behavioural Science?
- Describing behavior
- Predicting behavior
-
Determining causes of behavior
a) Temporal precedence
b) Covariation of Cause and Effect
c) No alternative explanations - Understanding – or – explaining behavior
When Describing Behaviour – what is the first step in formulating theories?
Describing – What exactly are people doing?
Give an example of – What exactly are people doing? – Observation
When Describing Behaviour – what is the first step in formulating theories?
- Some people in the class are taking notes on a computer, – while others are using a notebook — 18 people via computer and 12 people on a notebook.
- Here, I have DESCRIBED the exact behaviour of students. – Hence, we made an OBSERVATION – and – described the behaviour of individuals, – who are the subjects of focus in psychology.
Which Statistics do we use when Describing Behaviour?
Descriptive statistics
What is Descriptive statistics?
Stats – which tell us about the population – (it tells us what the people are doing), — but NOT about differences between people.
Give an example of What is Descriptive statistics.
18 students out of 30 students – are taking notes on the computer:
18/30 =.60 = 60% of students are taking notes on a computer. – Here, 60% is DESCRIPTIVE STATISTICS.
What does NOT the below example of DESCRIPTIVE STATISTICS tells us?
- 18 students out of 30 students are taking notes on the computer:
18/30 =.60 = 60% of students are taking notes on a computer. Here, 60% is DESCRIPTIVE STATISTICS.—
That – WHY some students – are taking notes on a computer – and – others on a notebook.
Does NOT – tell us the – about DIFFERENCES – between people.
Give 3 examples of – Descriptive Behavior Research Questions:
- What genre of movie is most popular among adults over 60? — I go to the movie theatre, sample people who look like 60-yo and ask them what movie they like to watch. – I might find that action movies are the favourite genre of people above 60 years old. – It does NOT tell us WHY it is their favourite genre. Instead, it just tells us WHAT their favourite genre is.
- What is America’s favorite fast-food chain? — Google tells us it is McDonald’s, but does NOT tell us WHY.
- How do 8–18-year-olds spend their time on the computer? — 18yo on emails and 8 yold watching cartoons – , but does NOT tell us WHY.
- Workout at home vs. gym
- In which year do uni. students pick their major? – asking students
When Describing Behaviour how are Descriptive Statistics most often reported/noted as?
In PERCENTAGES %
What is Predicting Behavior or when can we predict how people will act?
If – we know certain features – about a person, – we can predict how they will act.
What do we use when Predicting Behavior of others?
Predictive Modelling
What is Predictive Modelling?
Stats which describe – how changes in one variable – relate to changes in a different variable.
What is the role of the Independent Variable and Dependent Variable in Predictive Modelling?
- Independent variable: The variable – we manipulate or observe – to predict outcomes/DV.
- Dependent variable: The variable – whose levels – we are interested in predicting.
Give 4 examples of Predicting Behavior Research Questions.
- Is number of sexual partners (DV) predicted by Extraversion (IV) ?
- Is intelligence (DV) predicted by number of years spent in school (IV)?
- Is aggression (DV) predicted by average height (IV)?
- Does your academic class (DV) predict whether or not you take notes on a computer (IV) or on a notebook (IV)?
How are Predicting Behavior studies often reported in?
Scatter plot
Give an example of – PREDICTING BEHAVIOUR studies are often reported in a scatter plot.
IV = x-axis (height)
DV = y-axis (aggression).
Here, we can see that as people grow taller, or taller people show more signs of aggression = Positive corelation.
When may the correlation in the picture disappears?
AND
Why does this happens?
- This correlation disappears when – we consider GENDER into account. – Men tend to be taller than Women, – and also tend to score higher on aggression.
- This is called Third Variable/Confounding Variable Problem.
Why is it important to establish CAUSALITY in behavioural research?
- Correlation does NOT mean causation.
- 2 variables being related – does NOT prove – one Causes the other.
- We must establish – CAUSALITY – to make causal claims.
Give an example of –Why is it important to establish CAUSALITY in behavioural research?
- Correlation ≠ Causation
- Example: Height and aggression appear related — but Gender explains both
- Men tend to be taller and more aggressive.
- Gender is a confounding variable.
- Just because two variables are related does NOT mean one causes the other.
- To make causal claims, we must establish CAUSALITY.
- The cause of behaviour matters when explaining WHY people act a certain way.
When Determining the Causes of Behavior – what question do we ask?
What CAUSES – individuals to behave – in specific ways?
Give an example of – What CAUSES – individuals to behave – in specific ways?
- As Height (IV) increases, – so does Intelligence (DV) . – It does NOT – actually mean that being Taller – CAUSES – us to be intelligent.
- Instead, it just means that these 2 variables (Height, Intelligence) are related. — If we add Age as another variable (3rd Variable), then this relationship disappears, as 6yo is taller than 3yo, and also smarter.