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W1 - Experimental Design & Inferential Stats Flashcards

(15 cards)

1
Q

Methods of controlling secondary variables include (5)

A

Elimination, constancy, making a second variable into an independent variable, randomisation, statistical adjustment

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2
Q

An example of elimination is

A

Using a soundproof room to eliminate external noise

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3
Q

An example of constancy is

A

Holding illumination steady in a perception experiment

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4
Q

Randomisation process is useful when

A

There are too many secondary variables to allow for. Results are based on probability.

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5
Q

Statistical adjustment is used when

A

A variable can be compensated for. Eg subtracting a pre-test from a post-test

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6
Q

The sources of invalidity include

A

Testing effects, regressing towards the mean, maturation, subject attrition, repeated measures interactions, dv measurement error, experimenter bias
-TRAMB

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7
Q

Generalisability is sought for

A

Clients, settings, experimenter-therapist discrepancies, dependent variable

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8
Q

Internal validity is highest when

A

All secondary variables are controlled

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9
Q

Non-parametric test data assumes

A

Nominal or ordainl data

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10
Q

Parametric test data assumes

A

Interval or ratio data

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11
Q

Parametric tests include

A

t-test, ANOVA

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12
Q

When comparing two means, null hypothesis is

A

pop1=pop2, or, pop1-pop2=0

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13
Q

When comparing 3 means, null hypothesis is

A

Pop1=pop2=pop3

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14
Q

A t-test compares how many means?

A

2

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15
Q

An ANOVA compares how many means?

A

3 or more

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