Data Analysis C-8, C-10, C-11, D-3, D-5 Flashcards

1
Q

Data analysis involves

A

extracting useful ifnromatin from data

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2
Q

Data analysis guides

A

decision making

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3
Q

Answers “How consistent and accurate is our visual analysis?”

A

Reliability and visual analysis

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4
Q

Type I error:

Wrongly concluding

A

IV has produced a change in DV when it hasn’t

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5
Q

Type II error:

Wrongly concluding

A

IV has NOT produced a change in DV when it has

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6
Q

Formative visual analysis:

Occurs

A

Throughout the investigation

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7
Q

Formative visual analysis:

Seeks to explore

A

Within- and across-phase effects

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8
Q

Summative visual analysis:

Occurs

A

after the investigation is complete

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9
Q

Summative visual analysis:

Seeks to determine

A

effects of the IV

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10
Q

Cyclical data patterns show repeating sequences of:

A

increasing and then decreasing trends in a data set

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11
Q

Immediacy of change:

TIme between the

A

Introduction/removal of an IV and change in the DV

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12
Q

Level shift

A

changes in central tendency across phases

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13
Q

Overlap

A

range of values shared across phases

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14
Q

Percent of non-overlapping data (PND) is % of values

A

NOT shared in current condition compared to adjacent condition

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15
Q

Split-middle method:

allows one to

A

estimate and polot a trend line

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16
Q

Split-middle method:

Trend line helps

A

compare trends between conditions

17
Q

Stability envelope:

Involves

A

2 parallel lines drawn on either side of the median or trend

18
Q

Stability envelope:

Helps to determine

A

Stability around level/trend within conditions

19
Q

Dual criteria method & conservative dual criteria methods are

A

refinments of the split-middle method

20
Q

Dual criteria method:

Carries

A

trend and level lines from previous conditions to adjacent conditions

21
Q

Conservative dual criteria:

Same as dual criteria EXCEPTS

A

adjusts level lines by .25 standard deviation

22
Q

Consistency of patterns:

Answers

A

Are patterns in subsequent replications similar to one another?

23
Q

Visual analysis variables:

A
level
trend
variability
overlap
immediacy of change
consistency of patterns
24
Q

Type I error AKA:

A

false positive

25
Q

Type II error AKA:

A

false negative

26
Q

2 types of visual analysis

A

formative and summative visual analysis

27
Q

characteristics of trend analysis (3):

A

slope
magnitude
stability

28
Q

Methods for evaluating trend changes:

SMM, SE, DCM, CDCM

A

Split-middle method
Stability envelope
Dual criteria method
Conservative dual criteria method