LECTURE 3 Flashcards

1
Q

Variables (factors)

A

Features about a person or a situation that vary and can be measured. Eg: Popularity, self-esteem, assigned activity etc

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Operational definition

A

The way a particular variable is defined and measured

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Two types of variables

A

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.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Hypothesis

A

Predictions about how two or more variables might be related. Stated in a way that can be tested.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Objectivity and Replication

A

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)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Types of research in psychology

A
  • Descriptive
  • Experimental
  • Correlation
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Norm

A

The values standardly held by a particular community. (What usually occurs)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Descriptive Research

A

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.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Strengths and Limitations of Descriptive Research

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Correlational Research

A

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?

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Research use statistical test of correlation

A

Is the association between two variables significantly less likely than chance

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Some methods of correlation

A
  • Observation
  • Surveys
  • Recordings
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Types of correlation

Note: Variables are rarely (if ever) perfectly correlated

A

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)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Correlation does not prove causation

A

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)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Strengths and Limitations of Correlational Research

A

Strength: Can identify statistically reliable patterns among events
Limitations: Cannot prove causation among events

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Experimental Research

A

Goal: Test if a change in one variable causes a change in another variable (explanation)
Experimental Question: How? Why? (explanation)

17
Q

Method used in experimental research

A

Controlled experiments (to test for cause and effect)

18
Q

Example of an experiment

A

Hypothesis: Exercise can help students do better on a math test
Hypothesis cause and effect: exercise -> test math performance

Independent Variable: Hypothesized cause = Exercise
At least 2 groups get different conditions
- Group 1: Exercise before a test
- Group 2 : No exercise before a test

Dependent variable: Hypothesized effect = Math performance. IF
Group 1 does significantly better than Group 2, evidence for a causal influence

19
Q

Strength and Limitations of Experimental Research

A

Strength: Can provide evidence for causation
Limitation: Restrictions needed to conduct an experiment may limit generalizability to real-life experiences (See External Validity)

20
Q

Complementary Research Method

A
  • Descriptive, correlational and experimental methods are complementary
  • Each can play a valuable role in our scientific understanding of events
  • Mixed methods: Researchers may use combination of methods
21
Q

External Validity

A

Do research findings generalize beyond the sample and methods used in your study. Generalizations to: Other samples (background), other measures, other situations.

22
Q

External validity

A

Sampling and generality: Should be inclusive to all groups and communities, not just a chosen few.