S1 Wk 3 - Variables and Measurement Flashcards

1
Q

what is a variable

A

things we are trying to control and measure

anything that varies between people, over time within context

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2
Q

variables are …….. and can be used ………

A

related to one another

to predict one another

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3
Q

what is random variations

A

sometimes called noise or error

means that individuals vary naturally

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4
Q

what is an independent variable

A

value that is fixed or controlled and NOT dependent on something else in our study

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5
Q

what are the levels of the IV

A

the conditions or groups used in a study

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6
Q

what is the dependent variable

A

depends on something else

something we think is affected by another variable

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7
Q

what is between subjects

A

comparing different groups of people

independent measures

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8
Q

what is within subjects

A

compares same ppts across different groups

repeated measures

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9
Q

what is an experiment

A

involves manipulating the IV

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10
Q

what is interval data

A

measurements with an equal interval between each point on the scale

can be + or -

e.g. temp, time of day, date in years, money in bank account

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11
Q

what is ratio data

A

measurements with an equal interval between

mathematically meaningful absolute zero

e.g. height, weight, money in pocket

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12
Q

what does SPSS refer to interval and ratio as

A

scale

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13
Q

what is discrete data

A

can be counted in whole numbers

subdivision of the values doesn’t make sense

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14
Q

what is continuous data

A

Variable is continuous if it can be subdivided further

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15
Q

what type of data are ratio and interval usually

A

continuous

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16
Q

what type of data do parametric tests use

A

interval or ratio data

17
Q

what type of data do non-parametric tests use

A

ordinal or nominal

18
Q

What does parametric mean

A

Refers to the setting of parameters required to be able to compare data to the model

19
Q

What does internal validity mean

A

Are the study’s conclusions Justified by the evidence presented

20
Q

What does reliable mean

A

Consistent; tells us the same thing over time

21
Q

What does valid mean

A

Actually measures what it’s supposed to measure

22
Q

how do we calculate variance and standard deviation

A

find the mean

for each data point, minus the mean and square it

sum the values from step 2

divide the by the number of data points (-1 maybe)

square root for the standard deviation

23
Q

what is normal distribution

A

Normal variation, some low scorers, some high scorers, most people fall in the middle of the scale

24
Q

what is the variance

A

how far away individual scores are from the parameters such as the mean