experimental research - wordpress.com...control group group that does not receive the treatment...

Post on 15-Jul-2020

3 Views

Category:

Documents

0 Downloads

Preview:

Click to see full reader

TRANSCRIPT

Experimental Research

Experimental Research

Causation

Experiments allow you to determine Cause-and-Effect relationships

2 conditions

Experimental Research

Independent Variable

Dependent Variable

Extraneous Variables

Experimental Design

“It’s a Wonderful Life” In the movie, the character sees how things

would be different if 1 thing was changed – his being born

Experimental Research – Basic Statistics

Is condition A different than condition B? Significance Test

• t-test, z-test, F-test

Ho : MA = MB H1 : MA ≠ MB

You assume there is no difference until the data tells you otherwise

Experimental Research – Basic Statistics

Statistics can be based on 1 or 2 tails

A 1-tailed test has a more specific hypothesis

Condition A Condition B Condition A Condition B

A 2-tailed test is less specific

Condition A Condition B

Makeup Example - Statistics

Conduct t-test with the following data:

• 0 2 4 3 4 2 5 4 3 3

• 1 2 0 0 3 2 3 1 2 1

• t(9) = , p =

Jell-O Diet

Jell-O Diet

Diet Plan:

Jell-O Diet

Small print

Jell-O Diet

Results:

Experimental Research

Control Group Group that does not receive the treatment

Claims Without Controls

Claim #1:

Claim #2

Control Groups

No-treatment Group

Placebo Group

Placebo Effects

Thinking that you’re in the treatment group leads to

Placebo Effects

Group 1

Group 2

Placebo Effects

Manipulation Checks

Additional measure

Assess how people perceived the manipulation used in the experiment

Can be open to participants:

Can be hidden from participants:

Artificiality

Are experiments too artificial?

Artificiality – Cookie Study

Artificiality – Cookie Study

Artificiality – The College Sophomore Problem

The grand majority of psychological experiments

Artificiality – The College Sophomore Problem

Many studies are concerned with basic mammalian abilities

Researchers at different universities replicate each other’s results

Artificiality

Most studies are applicable to the real world

Example:

Simulation

Creating a realistic situation for the experiment

Simulation

Most famous simulation is probably the

Field Study

Observe experiments

Variables can be

Researcher can wait for

(Baseball) Field Study

Quasi-experimental Design

Quasi-experiments

These studies might look like experiments, but they lack the control needed to be a true experiment.

Recommended only when

Quasi-experimental Design

A researcher is interested in

A)

B)

Quasi-experimental Design

Quasi-experimental Design

Compare behavior / responses for Condition A Condition B

Analyze results in

Quasi-experimental Design

Are there age differences in terms of

Do people of different ages

Quasi-experimental Design

Example:

Quasi-experimental Design

Collect data from the following groups: 10 year olds 15 year olds 20 year olds 25 year olds 30 year olds

Quasi-experimental Design

Quasi-experimental Design

In this example… Independent variable:

Dependent variable:

Quasi-experimental Design

People cannot be randomly

However, try to obtain a

Quasi-experimental Design

Cross-sectional design Examine age differences

Cross sectional design

Quasi-experimental Design

Cross-sectional design Pros

Cons

Quasi-experimental Design

Alternative Design Longitudinal design

Quasi-experimental Design

Longitudinal design Pros

Cons

Longitudinal design

top related