LECTURE 3 Flashcards
Variables (factors)
Features about a person or a situation that vary and can be measured. Eg: Popularity, self-esteem, assigned activity etc
Operational definition
The way a particular variable is defined and measured
Two types of variables
Objective and Conceptual.
Objective variables: Events that can be directly measured. Eg: Duration of a conversation, correct recall of items.
Conceptual variables: Abstract ideas that need to be converted to measured variables. Eg: Gender identity, popularity.
Hypothesis
Predictions about how two or more variables might be related. Stated in a way that can be tested.
Objectivity and Replication
Operational definitions are basis for objectivity in scientific research.
- Can evaluate how well a scientist measured their variables
- Can test if same findings can be repeated (replication)
Types of research in psychology
- Descriptive
- Experimental
- Correlation
Norm
The values standardly held by a particular community. (What usually occurs)
Descriptive Research
Goal: Identify norms regarding a particular event
Some descriptive questions: Who? When? Where? How many? How often? How much?
Especially helpful when exploring a topic that is not well-understood.
Strengths and Limitations of Descriptive Research
Strength: Especially helpful when exploring a topic that is not well understood
Limitation: May not generalize (especially if small sample)
Limitation: Doesn’t provide evidence for patterns among variable
Correlational Research
Goal: Test for association (co-relations) between two or more variables (prediction)
Correlational question: Does the value of one variable predict the value of another variable?
Research use statistical test of correlation
Is the association between two variables significantly less likely than chance
Some methods of correlation
- Observation
- Surveys
- Recordings
Types of correlation
Note: Variables are rarely (if ever) perfectly correlated
Positive correlation: Two variables tend to increase (or decrease) together. (Example: No. of friends and self-esteem)
Negative correlation: Two variables tend to go in opposite directions (Eg: Conservative attitudes and support for anti-racism programs)
Correlation does not prove causation
Finding that two variables are correlated does not prove causation. Prediction (correlation) is not the same as causation.
One possibility: A third factor might cause both variables. Eg: income and happiness are correlated, however this doesn’t mean income causes happiness. Association might be caused to a third variable such as education (which increases chances of both higher happiness and income)
Strengths and Limitations of Correlational Research
Strength: Can identify statistically reliable patterns among events
Limitations: Cannot prove causation among events