FINAL Flashcards

1
Q

what determines variables

A

the characteristics they measure

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2
Q

how do we describe varibales

A

based on levels of measurement
independent and dependent variables
between and within subject
active and assigned

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3
Q

levels of measurement

A

nominal
ordinal
interval
ratio

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4
Q

independent variables

A

masure manipulated my an experimenter to cause an effect

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5
Q

examples for independent manipulations

A

type of instruction
method of exercise
marketing strategy

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6
Q

dependent variable

A

measure of the effect of manipulating the independent variable

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7
Q

examples for dependent variable

A

reaction time
VO2 max
audience participation
revenue dollar

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8
Q

what kind of treatment do between subjects receive

A

one or another but not all treatments

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9
Q

what kind of tratment do within subjects receive

A

receive all treatments

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10
Q

what do active and assignemnt vaiables mean

A

how participants were selected

usually independent variables

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11
Q

active independent variables

A

experiemnter used random assignment to select participants

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12
Q

assigned independent variables

A

participant comes to experiment already processing the character

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13
Q

when should conditions be counterbalanced

A

when independent variable is repeated or within Ss

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14
Q

what do probability statements provide

A

descriptions about relative power, reproductibility, or repeatability
observe of probability is a chance

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15
Q

what does P

A

probability of finding a result by chance alone is less than 5 times in 100
we can repeat that result 95 times in 100

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16
Q

pearson correlation

A

correlation between two continous variables

17
Q

spearman correlation

A

correlation between two ordinal variables

18
Q

when can a t-test be applied

A

when research design has one independent varaible with 2 levels

19
Q

types of t-test

A

independent means t-test

dependent means t-tests

20
Q

what does ANOVA stand for

A

analysis of variance

21
Q

what is ANOVA

A

test of difference

can be used when independent variable has more than 2 levels and more than one independent variable is manipulated

22
Q

what is tested with t-tests and ANOVA

A

what effect an independent variables has ona dependent variable

23
Q

types of variables

A

directional
null
alternative

24
Q

directional hypotheses

A

most difficult to support

supported if p

25
Q

null hypothesis

A

written to be rejected
can be rejected when findings fall in either direction
written with “no”

26
Q

when can null hypothesis be rejected

A

when p.05