Research Methods - Statistical Testing and Experimental Design Flashcards

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1
Q

How to remember the 8 Statistical Test Names.

A
Carrots (Chi-Squared)
Should (Sign Test)
Come 
Mashed (Mann Whitney)
With  (Wilcoxon)
Swede (Spearman's Rho)
Under (Unrelated T -Test)
Roast  (Related T - Test)
Potatoes (Pearson's R)
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2
Q

What is Nominal Data?

A

Where you put the people/participants in groups.

Example - Height (Tall or Short)

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3
Q

What is Ordinal Data?

A

When you put people in order. You are ranked from highest to lowest.
Example - Shortest = 1 and Tallest = 18

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4
Q

What is Interval Data?

A

It is a precise measurement.

Examples - Weight, Time, Blood Pressure, Height (cm)

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5
Q

What are the 3 Experimental Designs.

A

Independent Groups
Repeated Measures
Matched Pairs

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6
Q

Independent Groups

A

Separate groups of participants per condition of the study.
Participants take part in either the CONTROL or EXPERIMENTAL condition.
Example - Uses the acrostic to learn or doesn’t.

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7
Q

Repeated Measures

A

Same groups of participants to each condition of study.
Participant will take part in BOTH conditions of the study.
Example -Participants have almonds and then do a test, after they have no almonds and do a test.
They repeat this another time to see if they have improved.

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8
Q

Matched Pairs

A

Each participant in one of the experimental conditions is matched as closely as possible with a participant in another condition (control condition.
Example -
Participant 1 (Experimental condition)= Age 24, Male
Participant 2 (Control condition) = Age 24, Male
Participant 3 (Experimental condition) = Age 46, Male
Participant 4 (Control condition) = Age 46, Male

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9
Q

Advantages of Independent Groups

A

No Order Effects (Participants won’t get better the second time having done the test)
If doing a memory test for example, the same memory test can be used for both groups.

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10
Q

Disadvantages of Independent Groups

A
2x more people (More difficult for researchers)
Participant Variables (Differences between the groups as there are different participants in each condition).
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11
Q

Advantages of Repeated Measures

A

No Participant Variables (All participants are tested under both conditions)

Less participants needed (Easier for researcher)

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12
Q

Disadvantages of Repeated Measures

A

Order Effects (Having done the test once participants may do better the second time)

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13
Q

Advantages of Matched Pairs

A

No Order Effects (Having done the test once, participants won’t do better the second time)
Participant Variables Reduced (Shouldn’t make as much difference as if matched pairs hadn’t been used)

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14
Q

Disadvantages of Matched Pairs

A

Very time consuming to match the pairs

Participant Variables not completely eliminated - Difficult to match pairs exactly.

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15
Q

Random Allocation?

A

Ensures that participants have the same chance of being in one condition as any other.
Used in independent groups design and matches pairs design, to control for participants variables.

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16
Q

Counterbalancing

A

Involved half the participants experiencing conditions in one order and the other half experiencing conditions in the reverse order.
Used to counteract Order Effects in Repeated Measures Design.