Experimental Research Flashcards

1
Q

What is the purpose of experimental research?

A

To determine cause and effect (manipulating the IV to see its effect on the DV)

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2
Q

What are the criteria to establish cause and effect?

A
  1. The cause must come before (precede) the effect
  2. The cause and effect must be correlated
  3. The correlation cannot be explained by another variable
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3
Q

True or False?
Cause and effect are established by statistics.

A

False. Cause and effect are established by logical thinking and well-designed experiments.

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4
Q

What can statistics do?

A
  1. Reject the null hypothesis
  2. Establish effect size
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5
Q

What is internal validity?

A

Determines if the results are due to the treatment.

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6
Q

What do you need to show internal validity?

A

Control over the participants and environment.

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7
Q

What is external validity?

A

Determines if the results are generalizable.

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8
Q

What do you need to show external validity?

A

A sample that looks like (represents) our population.

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9
Q

What is the relationship between external and internal validity and why?

A
  1. Inverse
  2. Experiments have high control, the real world has little control
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10
Q

What are the threats to internal validity?
Give examples for them.

A
  1. History (Pandemic)
  2. Maturation (Puberty)
  3. Testing (Pre-test)
  4. Instrumentation (Data Error)
  5. Statistical Regression (Highest move towards middle)
  6. Selection Bias (Different groups to begin)
  7. Experimental Mortality (Withdrawing)
  8. Selection - maturation interaction (groups maturing at different rates)
  9. Expectancy (may treat someone better)
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11
Q

Which threat(s) does randomization control?

Internal Validity

A

Maturation, History, Statistical Regression, Selection Bias, Selection-maturation interaction

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12
Q

What threat(s) does calibration control?

A

Instrumentation

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13
Q

What threat(s) does interest/incentives control?

Internal Validity

A

Mortality

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14
Q

What threat(s) does study design control?

Internal Validity

A

Testing, expectancy

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15
Q

What are the threats to external validity?
Give examples.

A
  1. Testing (pre-test)
  2. Selection Bias (may only work for the selected population)
  3. Setting (Very controlled settings)
  4. Multiple Treatments (getting more than one treatment does not happen often in real-world)
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16
Q

What threat(s) does research design control?

External Validity

A

Testing, Multiple Treatment Interference

17
Q

What threat(s) does randomization control?

External Validity

A

Selection Bias

18
Q

What threat(s) does the researcher control?

A

Experimental Setting

19
Q

When looking at experimental designs… what does ROT stand for?

A

R - Random
O - Observation
T - Treatment

20
Q

Describe pre-experimental designs

A
  1. Control very few threats
  2. Not good designs
  3. None are randomized
21
Q

What are the pre-experimental designs and what is wrong with them?

A
  1. One-shot study (nothing to compare and no internal validity)
  2. One-group Pretest-Posttest Design (nothing to compare)
  3. Static Group Comparison (groups are not randomized)
22
Q

Which design is this:

T O

A

One-shot study

23
Q

Which design is this:

O T O

A

One-group Pretest-Posttest Study

24
Q

Which design is this:

T O
O

A

Static Group Comparison

25
Q

Describe True experimental designs

A
  1. All have randomization
  2. Have control over IV
  3. Have control groups
  4. Can control many threats
26
Q

What are the true experimental designs and what do they show?

A
  1. Randomized Groups (Randomization allows us to assume differences are due to treatment)
  2. Randomized Groups Pretest-Postest ((Randomization allows us to assume differences are due to treatment with a pretest)
  3. Solomon Four (controls testing threat)
  4. Quasi-Experimental (fits real world)
  5. Non-equivalent Control Group (Very common)
  6. Time Series (show change over time)
  7. Reversal Design (want stability over time)
  8. Switched Replications (No problems)
27
Q

What is wrong with Solomon Four and Switched Replications?

A

Solomon Four = Double the subjects and which tests
Switched replications = A lot of subjects and pain to analyze

28
Q

What is wrong with Quasi-experimental?

A

Not randomized

29
Q

Which design is this:

R T O
R O

A

Randomized Groups

30
Q

Which design is this:

O T O
O O

A

Non-equivalent Control Group

30
Q

Which design is this:

O O O O T O O O O

A

Time Series

31
Q

Which design is this:

R O T O
R O O

A

Randomized Groups Pretest - Posttest

32
Q

Which design is this:

R O T O
R O O
R T O
R O

A

Solomon Four

33
Q

Which design is this:

O O T O O T O O

A

Reversal Design

34
Q

Which design is this:

O T O O O
O O T O O
O O O T O
O O O O T

A

Switched Replications