Experimental Design (Sept 11/13) Flashcards

1
Q

What is the difference between experiment design and non experimental design

A

Experimental design allows us the establish a causal relationship between 2 variables
Non experimental doesn’t

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2
Q

What is the purpose of ED and NED

A

ED - to establish a cause and effect relationship
NED- to observe and describe phenomena

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3
Q

How much control do we have over variables in ED vs NED

A

ED- high control over independent through manipulation
NED - no manipulation of variables, variables are observed as they naturally occur.

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4
Q

How does random assignment work in ED vs NED

A

ED - participants are randomly assigned to groups (control and experimental)
NED - no random assignment because groups are pre-existing or naturally occurring which would make it impossible or unethical.

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5
Q

When should you chose experimental design

A
  • have a hypothesis about causal relationships between 2 variables
  • you are able to manipulate the indepent variable
  • you can randomly assign participants to different groups in the indepent variable
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6
Q

What is the difference between random assignment and random sampling

A

Random sampling is where we randomly pick participants from the population whereas random assignment is randomly choosing which participants are going to be apart of which group in the experiment.

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7
Q

When is a non-experimental design good?

A
  • you are interested in a single variable
  • you are interested in a non-causal relationship between 2 variables (correlation)
  • you have an exploratory research topic
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8
Q

NED: what is cross sectional

A

You compare 2 or more pre-existing groups (you don’t create the groups

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9
Q

NED: what is correlational

A

You see if 2 variables are correlated

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10
Q

NED: what is an observational study

A

You observe the behaviour in a natural or lab setting without manipulation

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11
Q

True-experimental design vs Quasi- experimental design

A

True - random assignment is possible
Quasi- random assignment is unethical or impossible

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12
Q

How does intervention and random assignment work in QED vs NED

A

QED - an intervention is made but no random sampling
NED - no intervention is made, no random sampling or group manipulation

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13
Q

How does causality work in QED vs NED

A

QED - attempts to establish causality but less certainty due to lack of randomization
NED - cannot determine causality only correlation

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14
Q

Is there a need for comparison groups in QED vs NED

A

QED - often include comparison or control groups but not randomly assigned
NED - may not have comparison or control groups

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15
Q

Dependent vs independent variables

A

Depend - the variable you measure
Independent- the variable you manipulate.

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16
Q

What are levels in independent variable

A

Levels are groups within the indepent variable
Ex. Sex - male and female

17
Q

What is an extraneous variable

A

Variables that are not the indepent variable but may have an effect on the dependent variable
(Example slide 15 experimental design)

18
Q

What are confounding variables

A

An extraneous variable that potentially ended up affecting the dependent variable (example slide 16)

19
Q

What is a lurking variable

A

A lurking variable is a variable that affects both independent and dependent variables

20
Q

Pretext- Protest design

A

DV measured before intervention - intervention is made - DV measured again

If DV isn’t measured pre-intervention it’s not a pretext-protest or true experimental design

21
Q

What is factorial design

A

When there are more than one indepent variable in a single experiemnt without the need to run separate experiments it is factorial.

22
Q

What is a single-factor design:

A

when you have a single factor/independent variable in the experiment.

23
Q

What is a univariate design

A

When you have a single dependent variable

24
Q

What is a single-factor univariate design?

A

has one independent variable and one dependent variable

25
Q

Poll:

We have a study with 2x3 factorial design. How many independent variables?

A

2

26
Q

Poll:

we have a study with a 2x3 factorial desin. What does ‘3’ indicate here?

A

number of levels in the second independent variable.

27
Q
A