Stats Reads 7, 8, & 9 Flashcards

statistics

1
Q

Categorical/nominal data

A

when variable are measured using categories or names.

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2
Q

Continuous/interval scaled

A

when variables are measured using numbers along a continuum with equal distances, or values, between each number along the continuum.

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3
Q

Dependent or paired sample t-test

A

a test of the statistical similarity between the means of two paired or dependent samples

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4
Q

Independent samples t-test

A

A test of the statistical similarity between the means of two paired or dependent samples.

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5
Q

Matched, paired, dependent samples

A

when each core of one sample is matched to one score from a second sample. Or in the case of a single sample measured at two times, when each score at time 1 is match with the score of the same individual at time 2.

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6
Q

matched, paired, dependent sample t-test

A

test comparing the means of paired, matched or dependent sample on a single variable.

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7
Q

reliability

A

can measure

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8
Q

validity

A

more “philosophical” as its how well they take care of confounding variables, think “internal validity”

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9
Q

content validity

A

did the test cover all of the period

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10
Q

Criterion validity

A

how well a test measures what it is supposed to meaure.

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11
Q

concurrent

A

does the test correlate with other tests we have given in the past.

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12
Q

predictive

A

does the test predict future performance

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13
Q

Construct Validity

A
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14
Q

Convergent

A

how well does the test correlate with other tests that are supposed to measure the same thing (like concurrent validity)

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15
Q

discriminant

A

test is not correlated with dissimilar measures

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16
Q

what do you find with the ANOVA

A

you find the F

17
Q

is the t-test the same as the ANOVA with two groups

A

yes, ANOVA is built for the f-test

18
Q

what do we do with outliers

A

if it changes the analysis keep it in, the research question also matters.

  • it’s a judgement call, 1 out of 300 numbers versus 1 out of 20 numbers.
19
Q
A