Topic 3 Flashcards

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1
Q

what are the components of a line graph?

A
  • x (abscissa) and y-axis (ordinate) lines
  • labels for axis
  • numbers on axis
  • data points and connecting with lines
  • phase lines (if there are diff phases)
  • phase labels (baseline, treatment and follow up)
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2
Q

what is a phase line?

A

vertical line on graph that indicates change in treatment
- data points do not connect across phase lines

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3
Q

what are the typical x and y axis for b-mod?

A

time and behavior

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4
Q

what are the do/don’t for graphs?

A
  • client name (bottom right)
  • data summary to go from raw data
  • no legend
  • no gridlines
  • add title
  • black axes and units
  • no connection baseline phase curve to treatment phase curve
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5
Q

what is the purpose of research design?

A

determine whether treatment is responsible for observed change in target behavior and to rule out extraneous variables causing behavior to change

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6
Q

independent variable

A

treatment applied
- what researcher applied to manipulate to produce change in target behavior

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7
Q

dependent variable

A

target behavior measure

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8
Q

confounding variable

A

extraneous
- factor affecting behavior but not controlled

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9
Q

functional relationship

A

treatment procedure (IV) regularly causes change in target behaviour while other variables held constant
- need IV-DV behavior and replication

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10
Q

what is IV-DV relationship?

A

changing IV causes change in DV

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11
Q

what is replication in functional relationship?

A

consistent pattern of results

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12
Q

what does b-mod typically use?

A

single-subject research methods
does not employ much stats analysis

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13
Q

what is A-B design?

A

one baseline (A) and one treatment (B)
- baseline collect at least 3 points that do not show a trend (which would indicate behavior change)
- used to eval the effect of treatment on target behavior
- not a research design or purposes

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14
Q

what is the simplest graph used?

A

A-B design

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15
Q

where is A-B graph used?

A

applied nonresearch situation in which people are interested in demonstrating behavior change occurred
- self-management project

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16
Q

pros of A-B design

A

satisfactory for self-management

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17
Q

cons of A-B design

A

not a true research design- lacks replication, no cause and effect, change can be due to confounding variable

18
Q

A-B-A-B design

A
  • reversal design
  • 1 person doing
  • 2 baseline phases
  • 2 treatment phases
  • varied to include more than one kind of treatment
19
Q

pro of A-B-A-B

A

establish cause and effect

20
Q

cons of A-B-A-B

A
  • unethical to withdraw beneficial intervention
  • behavior may not revert back to second baseline
21
Q

multiple baseline design

A
  • more than one A-B carried out simultaneously
  • baseline vary in length before treatment begins
  • intervention phase is staggered across separate designs
  • evidence that treatment is effective
22
Q

multiple baseline across subjects

A

applied to diff people
- nurse wearing protective gloves with HIV-pos patients

23
Q

multiple baseline across behaviors

A

apply treatment to several diff target behaviors
- pronounciation of th, z, zh

24
Q

multiple baseline across settings

A

apply in diff settings
- stuttering at home, work, public

25
Q

pros of multiple baseline

A

no reversals
if behavior occurs only when B phase starts in each condition so can conclude result was intervention

26
Q

con of multiple baseline

A

treatment can spread across subjects, behaviors, settings during baseline

27
Q

alternating treatments design

A
  • multielement design
  • baseline and treatment applied in rapid succession
  • extraneous factors could affect results can be counterbalanced
  • treatment effects shown by fractionation
  • little overlap
28
Q

what is fractionation?

A

consistent vertical separation between treatment curves
- one point connects 2 lines in treatment

29
Q

pros of alternating treatment

A

extraneous variables less of effect
evaluates effects of diff treatments

30
Q

con of alternating treatment

A

treatments can interact with each other

31
Q

changing-criterion design

A
  • criterion for successful treatment progressively changes
  • uses A-B design
  • goal for target behavior changes in treatment
  • reaches level and then changes it
  • work up to where they want to be
32
Q

example of changing criterion

A

less caffeine = earn money, drank more = lost money. level below criterion because behavior changed each time performance criterion changes showing a function relationship

33
Q

which design is the most complex?

A

changing-criterion

34
Q

pros of changing-criterion

A

well-suited to behaviors that can be approximated gradually

35
Q

cons of changing-criterion

A

unsuitable for behavior that may not change gradually

36
Q

what are the features used to evaluate behavior change?

A

level
trend
variability

37
Q

level

A

how high or low data are on y-axis
- lower level in intervention shows intervention was successful

38
Q

trend

A

exists when behavior is increasing across a phase or decreasing across phase
- need data stable within phase before changing

39
Q

variability

A

how high and low data points are away from the mean level in phase

40
Q

low variability

A

data points are still close to the mean level in phase

41
Q

high variability

A

many data points are far above and far below the means

42
Q

it is easier to identify level difference between phases when there is high or low variability?

A

low